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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ERBB3 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
100.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
267.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
243.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
225.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
219.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
202.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
191.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
185.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
184.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
183.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
182.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
179.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
176.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
176.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
173.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
168.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
167.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
164.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
163.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
160.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
160.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
160.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
159.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
159.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
154.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
154.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
153.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
151.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
150.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
149.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
149.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
148.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
147.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
147.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
146.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
144.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
143.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
141.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
138.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
137.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
135.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
134.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
133.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
133.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
133.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
131.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
130.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
130.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
128.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
128.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
128.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
128.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
127.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
126.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
126.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
126.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
124.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
120.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
120.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
118.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
118.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
117.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
116.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
116.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
116.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
115.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
115.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
114.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
113.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
113.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
113.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
113.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
113.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
112.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
112.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
112.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
111.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
111.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
111.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
111.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
110.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
110.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
110.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
110.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
110.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
110.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
109.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
109.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
108.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
107.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
107.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
106.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
106.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
105.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
105.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
105.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
105.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
105.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
104.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
104.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
104.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
104.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
104.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
103.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
101.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
101.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
100.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
100.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
100.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
100.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
98.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
98.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
98.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
97.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
97.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
96.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
96.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
95.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
95.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
95.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
95.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
94.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
93.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
93.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
93.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
93.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
93.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
93.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
92.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
92.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
92.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
92.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
92.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
91.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
91.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
91.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
91.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
91.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
91.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
90.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
90.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
90.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
89.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
89.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
89.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
89.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
89.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
88.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
88.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
88.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
88.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
87.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
87.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
87.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
86.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
85.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
85.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
85.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
84.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
84.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
84.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
82.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
82.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
82.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
82.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
81.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
81.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
81.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
80.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
80.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
80.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
80.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
79.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
79.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
79.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
78.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
78.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
78.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
78.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
78.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
78.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
77.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
77.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
77.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
77.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
77.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
77.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
77.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
77.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
76.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
76.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
76.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
76.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
75.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
74.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
74.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
74.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
74.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
73.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
73.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
73.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
72.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
72.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
71.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
71.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
70.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
70.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
69.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
68.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
68.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
68.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
67.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
67.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
67.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
66.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
66.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
66.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
66.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
66.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
66.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
66.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
65.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
64.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
64.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
64.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
63.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
63.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
62.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
62.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
60.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
57.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
55.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
55.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
53.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
53.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
53.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
53.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
52.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
51.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
48.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
47.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
45.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
45.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
42.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
39.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
32.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
31.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
28.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 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.
ERBB3 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
134.9
Number of samples
486
Samples
Sample
Description
TPM
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
322.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
309.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
286.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
285.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
263.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
257.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
256.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
256.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
251.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
251.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
251.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
246.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
245.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
244.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
241.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
241.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
237.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
236.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
235.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
234.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
230.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
225.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
224.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
224.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
224.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
223.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
220.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
220.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
219.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
216.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
214.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
213.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
213.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
212.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
211.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
210.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
210.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
209.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
207.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
207.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
206.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
205.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
205.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
205.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
204.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
203.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
202.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
199.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
198.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
198.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
197.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
197.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
197.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
195.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
195.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
195.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
195.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
195.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
194.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
194.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
190.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
189.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
188.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
188.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
186.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
186.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
185.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
185.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
184.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
183.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
183.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
182.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
182.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
181.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
181.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
181.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
180.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
178.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
177.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
177.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
176.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
176.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
176.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
176.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
174.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
174.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
174.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
173.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
173.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
173.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
173.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
173.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
172.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
172.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
172.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
172.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
171.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
170.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
170.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
170.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
169.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
169.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
169.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
169.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
169.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
168.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
168.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
168.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
168.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
167.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
167.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
167.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
166.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
165.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
165.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
165.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
164.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
164.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
164.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
164.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
164.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
163.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
163.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
162.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
162.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
162.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
161.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
161.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
160.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
160.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
160.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
160.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
159.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
159.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
159.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
158.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
158.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
158.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
157.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
157.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
157.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
156.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
156.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
155.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
155.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
154.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
153.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
153.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
152.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
152.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
152.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
151.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
151.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
151.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
151.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
151.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
151.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
150.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
150.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
150.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
150.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
150.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
149.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
148.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
148.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
148.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
148.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
148.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
148.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
147.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
147.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
147.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
147.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
147.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
146.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
146.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
146.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
146.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
145.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
144.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
144.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
144.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
144.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
143.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
143.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
143.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
143.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
142.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
142.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
142.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
142.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
141.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
141.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
140.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
140.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
140.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
140.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
139.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
139.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
139.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
139.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
139.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
139.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
139.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
138.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
138.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
138.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
136.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
136.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
136.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
135.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
135.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
134.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
134.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
134.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
134.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
133.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
133.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
133.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
133.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
132.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
132.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
132.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
132.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
131.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
131.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
131.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
130.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
130.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
130.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
130.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
130.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
130.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
130.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
129.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
129.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
129.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
129.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
129.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
129.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
129.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
129.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
128.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
128.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
127.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
127.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
127.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
127.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
126.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
126.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
126.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
126.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
126.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
126.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
126.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
125.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
125.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
125.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
125.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
125.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
124.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
124.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
124.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
124.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
124.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
124.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
124.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
123.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
123.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
123.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
123.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
122.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
122.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
122.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
122.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
122.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
122.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
121.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
121.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
121.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
121.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
120.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
120.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
120.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
120.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
120.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
119.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
119.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
119.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
119.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
119.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
118.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
118.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
118.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
118.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
118.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
117.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
117.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
117.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
117.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
117.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
117.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
116.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
116.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
116.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
116.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
116.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
116.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
115.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
115.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
115.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
115.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
115.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
114.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
114.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
114.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
113.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
113.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
113.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
112.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
112.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
111.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
111.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
111.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
111.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
110.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
109.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
109.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
109.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
109.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
109.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
109.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
109.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
109.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
108.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
108.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
108.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
107.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
107.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
107.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
107.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
107.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
106.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
106.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
106.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
106.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
106.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
106.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
106.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
105.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
105.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
105.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
105.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
105.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
105.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
104.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
103.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
103.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
103.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
103.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
103.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
103.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
103.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
102.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
102.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
102.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
102.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
102.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
101.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
101.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
101.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
101.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
101.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
100.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
100.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
99.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
99.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
99.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
98.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
98.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
97.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
97.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
97.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
97.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
96.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
96.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
96.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
95.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
95.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
95.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
94.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
94.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
94.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
94.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
94.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
93.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
93.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
93.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
92.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
92.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
92.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
92.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
92.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
91.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
91.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
91.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
91.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
90.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
90.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
90.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
89.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
89.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
89.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
89.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
88.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
88.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
87.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
87.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
87.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
87.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
86.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
86.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
86.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
85.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
84.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
84.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
84.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
83.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
82.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
82.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
82.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
82.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
81.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
81.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
81.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
80.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
80.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
80.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
79.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
78.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
78.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
78.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
77.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
76.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
76.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
75.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
74.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
73.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
72.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
72.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
70.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
70.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
69.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
69.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
69.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
68.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
67.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
67.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
67.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
66.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
65.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
64.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
64.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
63.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
62.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
61.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
61.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
60.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
60.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
58.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
57.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
57.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
57.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
56.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
39.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
38.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
31.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.2
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.
ERBB3 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
99.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
222.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
199.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
193.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
174.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
173.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
169.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
160.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
157.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
143.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
141.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
138.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
138.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
132.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
131.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
127.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
127.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
125.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
124.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
124.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
121.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
119.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
118.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
116.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
115.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
114.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
113.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
113.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
111.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
111.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
111.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
110.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
108.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
107.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
105.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
103.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
100.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
100.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
100.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
99.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
98.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
97.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
96.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
95.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
94.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
94.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
92.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
90.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
90.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
90.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
87.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
86.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
86.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
86.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.1
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
84.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
81.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
80.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
80.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
80.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
78.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
76.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
76.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
76.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
75.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
75.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
74.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
72.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
71.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
70.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
69.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
69.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
66.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
66.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
64.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
62.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
62.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
61.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
59.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
58.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
55.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
55.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
54.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
54.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
51.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
47.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
45.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 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.
ERBB3 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
128.3
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
330.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
246.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
241.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
229.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
225.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
223.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
221.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
218.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
211.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
206.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
202.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
200.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
198.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
198.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
198.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
196.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
195.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
194.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
193.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
191.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
191.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
189.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
188.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
187.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
186.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
185.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
179.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
179.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
178.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
178.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
176.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
175.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
175.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
175.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
173.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
173.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
172.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
171.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
171.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
171.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
169.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
169.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
168.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
167.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
167.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
167.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
166.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
166.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
163.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
161.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
161.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
158.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
157.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
155.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
155.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
155.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
154.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
154.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
154.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
152.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
151.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
149.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
148.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
147.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
146.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
146.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
145.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
145.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
144.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
144.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
144.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
143.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
143.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
143.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
142.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
139.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
139.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
138.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
137.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
135.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
134.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
133.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
133.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
133.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
133.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
132.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
131.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
131.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
130.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
130.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
129.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
128.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
127.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
127.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
127.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
126.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
126.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
125.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
125.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
125.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
124.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
124.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
122.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
122.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
121.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
121.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
120.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
120.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
120.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
120.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
119.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
118.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
118.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
117.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
117.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
116.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
115.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
115.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
115.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
115.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
114.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
114.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
113.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
112.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
112.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
112.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
111.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
111.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
110.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
108.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
108.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
107.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
107.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
106.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
105.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
105.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
104.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
104.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
104.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
103.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
102.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
102.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
101.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
101.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
101.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
101.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
101.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
100.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
100.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
100.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
99.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
99.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
99.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
98.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
97.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
96.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
96.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
95.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
93.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
93.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
93.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
93.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
92.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
91.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
90.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
90.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
89.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
88.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
87.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
87.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
86.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
86.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
85.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
85.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
83.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
83.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
79.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
78.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
78.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
77.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
77.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
77.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
72.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
72.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
71.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
71.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
69.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
69.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
69.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
67.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
66.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
65.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
63.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
63.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
61.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
61.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
58.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
55.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
53.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
37.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
35.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
34.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
1.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
1.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.9
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.6
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.9
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-2.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-6.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-7.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-13.4
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
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
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_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
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
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
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
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
8c73f3a5-fea8-4942-90c0-966f66_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
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_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
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
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
bed27f66-ef3b-4868-b4ad-205018_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
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
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
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
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
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
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
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
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
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.