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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.
LRP10 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
91.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
412.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
254.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
254.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
234.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
222.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
221.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
212.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
206.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
199.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
196.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
192.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
187.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
187.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
186.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
185.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
183.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
178.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
178.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
169.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
168.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
166.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
162.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
160.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
158.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
154.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
153.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
152.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
152.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
151.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
150.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
149.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
148.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
148.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
148.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
145.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
141.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
141.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
141.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
141.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
138.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
138.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
138.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
138.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
137.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
136.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
135.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
134.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
132.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
131.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
131.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
131.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
131.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
128.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
128.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
128.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
127.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
127.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
124.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
124.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
123.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
122.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
120.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
119.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
118.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
117.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
115.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
115.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
114.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
114.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
114.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
113.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
112.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
112.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
110.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
110.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
110.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
109.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
109.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
108.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
108.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
108.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
107.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
106.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
106.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
105.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
105.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
104.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
104.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
103.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
103.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
102.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
101.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
101.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
101.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
100.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
100.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
100.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
100.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
98.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
98.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
98.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
98.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
97.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
96.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
96.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
96.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
94.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
93.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
93.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
92.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
92.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
92.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
91.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
91.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
90.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
90.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
90.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
89.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
88.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
88.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
88.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
87.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
87.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
87.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
86.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
86.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
86.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
84.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
84.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
82.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
82.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
82.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
81.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
80.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
78.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
78.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
76.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
76.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
75.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
75.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
75.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
75.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
75.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
74.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
74.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
73.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
72.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
72.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
72.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
71.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
71.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
71.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
70.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
70.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
70.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
69.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
69.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
69.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
69.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
67.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
67.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
66.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
66.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
65.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
65.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
64.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
63.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
62.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
61.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
61.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
61.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
61.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
60.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
59.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
59.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
59.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
59.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
57.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
57.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
56.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
56.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
56.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
55.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
55.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
54.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
54.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
53.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
53.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
52.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
51.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
51.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
51.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
51.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
51.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
50.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
50.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
49.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
49.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
49.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
49.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
48.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
47.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
46.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
46.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
46.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
46.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
45.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
45.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
44.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
44.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
43.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
43.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
42.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
42.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
40.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
39.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
37.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
37.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
37.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
35.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
34.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
34.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
33.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
33.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
32.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
30.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
30.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
27.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
26.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
25.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
25.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
25.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
24.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
22.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
21.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
21.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
21.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
20.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
19.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
19.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
17.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
16.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
16.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 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.
LRP10 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
109.9
Number of samples
486
Samples
Sample
Description
TPM
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
360.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
306.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
301.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
275.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
257.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
246.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
231.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
231.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
230.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
229.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
223.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
223.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
221.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
216.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
213.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
213.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
212.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
204.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
203.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
198.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
195.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
191.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
187.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
186.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
184.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
183.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
183.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
182.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
181.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
181.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
179.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
179.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
178.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
177.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
175.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
174.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
173.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
172.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
171.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
171.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
169.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
169.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
169.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
169.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
169.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
168.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
168.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
167.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
166.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
166.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
165.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
164.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
163.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
159.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
159.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
159.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
159.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
158.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
158.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
156.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
156.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
155.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
155.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
154.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
153.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
151.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
151.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
150.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
150.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
149.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
149.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
149.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
148.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
148.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
147.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
147.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
147.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
146.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
146.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
145.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
143.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
142.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
142.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
142.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
141.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
141.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
141.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
141.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
141.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
141.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
140.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
139.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
139.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
139.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
139.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
139.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
139.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
138.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
138.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
138.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
138.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
138.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
138.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
137.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
136.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
136.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
135.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
133.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
133.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
133.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
133.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
132.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
132.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
132.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
131.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
131.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
131.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
130.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
129.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
129.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
129.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
129.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
129.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
129.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
128.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
128.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
127.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
127.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
127.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
127.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
126.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
126.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
126.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
126.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
125.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
125.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
125.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
125.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
125.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
125.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
124.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
124.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
124.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
123.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
123.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
123.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
123.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
123.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
123.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
122.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
122.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
122.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
121.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
121.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
121.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
120.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
120.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
120.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
120.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
120.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
120.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
120.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
119.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
119.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
119.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
119.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
118.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
118.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
118.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
118.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
118.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
118.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
117.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
117.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
117.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
116.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
116.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
116.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
116.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
116.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
116.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
115.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
115.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
115.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
114.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
114.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
114.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
113.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
113.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
113.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
112.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
112.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
111.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
111.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
111.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
111.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
111.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
110.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
110.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
109.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
109.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
109.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
108.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
108.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
108.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
108.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
108.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
108.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
107.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
107.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
107.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
107.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
107.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
107.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
107.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
106.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
106.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
106.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
106.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
105.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
105.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
105.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
105.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
104.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
104.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
104.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
104.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
104.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
103.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
103.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
103.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
103.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
103.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
103.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
102.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
102.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
102.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
102.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
102.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
102.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
101.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
101.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
101.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
101.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
101.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
101.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
101.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
101.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
101.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
100.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
100.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
100.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
100.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
100.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
99.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
99.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
99.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
99.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
99.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
99.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
98.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
98.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
98.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
98.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
98.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
98.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
98.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
97.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
97.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
97.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
97.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
96.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
96.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
96.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
96.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
96.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
96.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
96.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
96.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
95.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
95.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
95.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
95.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
95.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
94.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
94.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
94.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
94.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
94.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
94.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
94.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
93.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
93.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
93.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
93.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
92.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
92.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
92.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
91.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
91.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
91.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
91.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
91.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
91.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
91.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
91.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
91.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
90.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
90.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
90.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
90.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
90.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
90.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
89.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
89.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
89.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
89.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
89.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
89.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
89.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
89.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
88.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
88.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
88.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
88.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
88.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
87.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
87.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
87.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
87.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
87.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
87.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
86.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
86.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
86.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
86.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
86.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
86.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
85.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
85.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
85.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
85.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
85.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
85.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
85.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
85.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
84.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
84.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
84.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
84.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
84.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
83.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
83.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
83.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
83.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
83.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
83.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
82.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
82.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
82.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
81.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
81.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
81.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
81.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
81.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
81.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
81.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
81.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
80.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
80.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
80.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
80.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
80.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
79.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
79.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
79.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
79.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
78.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
78.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
78.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
78.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
78.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
78.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
78.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
78.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
78.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
77.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
77.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
77.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
76.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
76.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
76.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
76.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
75.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
75.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
75.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
75.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
75.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
74.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
73.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
73.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
73.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
72.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
72.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
72.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
72.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
71.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
71.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
71.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
71.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
71.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
70.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
70.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
70.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
70.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
69.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
69.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
69.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
69.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
69.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
68.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
68.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
68.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
67.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
67.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
66.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
66.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
65.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
65.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
65.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
64.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
64.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
64.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
64.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
64.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
64.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
63.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
63.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
62.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
62.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
62.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
61.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
61.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
60.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
60.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
60.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
60.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
60.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
59.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
58.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
58.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
57.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
56.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
56.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
53.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
52.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
52.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
51.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
51.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
48.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
48.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
47.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
46.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
42.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
40.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
37.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
34.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
13.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LRP10 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
79.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
196.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
196.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
168.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
148.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
148.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
143.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
140.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
136.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
132.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
127.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
126.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
124.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
123.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
123.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
123.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
121.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
116.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
115.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
113.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
105.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
105.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
102.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
101.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
100.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
99.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
96.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
96.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
95.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
92.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
91.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
90.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
89.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
87.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
85.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
84.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
83.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
83.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
82.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
82.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
82.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
80.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
80.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
79.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
79.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
77.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
76.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
76.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
75.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
71.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
68.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
68.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
64.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
64.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
64.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
62.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
62.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
58.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
57.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
57.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
56.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
56.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
55.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
55.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
54.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
53.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
46.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
46.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
46.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
45.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
45.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
43.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
42.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
38.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
38.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
38.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
37.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
36.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
35.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
15.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
14.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
12.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
11.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LRP10 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
88.6
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
221.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
216.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
202.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
184.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
171.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
170.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
170.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
155.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
154.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
146.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
144.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
141.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
140.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
140.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
133.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
132.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
130.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
130.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
128.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
128.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
126.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
125.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
125.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
124.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
123.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
123.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
123.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
122.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
122.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
121.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
121.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
121.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
119.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
118.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
117.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
116.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
115.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
113.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
113.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
112.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
112.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
111.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
111.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
110.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
109.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
109.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
109.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
108.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
108.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
108.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
107.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
107.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
107.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
107.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
107.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
106.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
105.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
104.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
104.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
102.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
102.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
102.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
101.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
101.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
99.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
99.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
99.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
99.1
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
98.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
98.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
98.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
97.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
97.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
97.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
96.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
96.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
95.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
95.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
94.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
94.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
94.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
93.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
93.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
93.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
93.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
93.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
92.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
91.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
91.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
90.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
90.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
90.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
89.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
89.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
89.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
89.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
88.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
88.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
88.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
87.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
87.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
87.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
87.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
86.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
86.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
86.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
86.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
86.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
86.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
85.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
84.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
84.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
84.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
83.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
82.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
82.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
82.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
81.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
81.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
80.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
80.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
80.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
79.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
79.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
78.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
78.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
78.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
78.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
77.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
76.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
74.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
74.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
73.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
73.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
72.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
72.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
71.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
71.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
71.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
71.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
71.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
71.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
70.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
70.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
70.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
69.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
68.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
68.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
68.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
67.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
67.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
66.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
66.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
66.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
66.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
65.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
65.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
64.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
64.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
63.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
62.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
62.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
61.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
60.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
60.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
60.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
59.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
58.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
56.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
55.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
55.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
54.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
54.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
54.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
54.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
53.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
51.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
51.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
50.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
49.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
49.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
48.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
47.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
46.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
46.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
45.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
44.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
42.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
41.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
37.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
35.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
31.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
29.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.9
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.9
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.7
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
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
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
