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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.
LRRC59 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
108.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
322.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
217.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
209.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
203.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
202.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
197.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
191.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
187.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
180.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
179.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
178.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
176.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
175.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
175.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
172.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
171.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
168.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
168.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
167.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
167.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
164.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
164.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
162.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
160.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
157.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
157.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
157.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
156.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
155.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
154.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
154.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
153.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
153.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
151.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
148.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
148.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
147.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
146.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
146.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
145.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
143.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
143.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
141.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
140.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
137.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
136.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
136.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
135.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
135.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
134.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
133.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
133.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
131.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
131.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
131.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
131.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
130.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
130.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
130.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
129.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
129.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
129.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
129.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
128.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
128.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
127.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
127.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
126.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
126.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
124.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
124.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
124.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
123.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
122.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
122.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
121.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
120.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
120.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
119.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
118.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
118.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
117.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
117.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
116.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
116.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
116.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
116.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
116.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
116.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
115.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
115.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
114.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
114.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
114.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
113.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
113.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
113.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
113.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
112.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
112.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
112.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
112.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
112.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
111.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
111.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
111.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
110.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
110.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
110.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
109.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
107.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
107.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
106.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
106.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
105.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
105.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
105.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
105.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
105.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
105.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
105.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
104.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
104.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
104.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
104.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
104.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
103.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
103.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
103.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
103.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
102.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
102.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
102.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
102.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
102.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
101.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
101.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
101.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
101.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
101.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
100.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
100.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
99.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
99.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
99.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
99.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
99.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
98.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
98.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
98.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
97.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
97.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
96.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
96.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
96.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
96.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
96.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
95.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
95.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
95.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
94.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
94.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
93.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
93.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
93.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
93.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
92.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
91.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
91.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
91.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
90.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
90.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
90.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
90.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
90.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
90.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
90.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
90.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
89.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
88.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
88.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
88.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
88.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
87.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
87.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
86.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
86.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
85.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
85.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
85.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
85.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
84.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
84.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
82.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
82.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
81.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
80.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
80.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
79.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
78.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
78.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
77.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
77.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
77.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
76.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
75.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
75.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
74.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
74.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
73.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
73.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
73.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
72.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
72.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
71.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
71.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
70.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
69.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
69.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
69.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
68.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
68.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
67.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
66.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
66.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
66.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
66.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
65.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
64.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
62.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
62.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
61.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
61.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
60.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
57.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
55.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
55.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
55.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
54.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
54.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
53.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
49.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
48.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
46.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
44.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
43.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
39.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 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.
LRRC59 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
131.8
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
312.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
276.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
276.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
267.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
257.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
254.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
245.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
242.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
239.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
238.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
234.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
229.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
228.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
226.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
225.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
224.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
224.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
222.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
222.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
219.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
217.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
214.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
213.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
213.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
212.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
210.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
210.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
210.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
205.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
204.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
204.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
204.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
204.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
204.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
204.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
203.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
203.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
202.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
202.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
202.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
201.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
200.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
199.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
198.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
197.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
196.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
195.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
195.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
195.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
193.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
193.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
192.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
191.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
191.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
190.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
190.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
190.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
187.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
185.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
184.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
183.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
182.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
182.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
180.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
180.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
180.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
179.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
179.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
178.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
178.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
177.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
177.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
176.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
176.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
176.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
176.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
176.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
175.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
175.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
174.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
173.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
173.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
171.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
171.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
170.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
170.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
170.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
170.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
169.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
168.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
168.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
167.8
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
167.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
167.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
167.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
167.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
166.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
166.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
166.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
165.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
164.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
164.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
163.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
163.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
162.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
162.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
162.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
162.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
162.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
161.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
161.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
161.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
160.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
160.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
159.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
159.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
158.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
158.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
158.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
157.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
157.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
157.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
157.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
156.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
156.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
156.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
156.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
156.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
155.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
155.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
155.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
155.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
154.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
154.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
154.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
154.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
154.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
154.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
153.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
152.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
152.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
151.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
151.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
151.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
151.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
151.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
151.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
150.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
150.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
150.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
149.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
149.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
149.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
148.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
148.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
148.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
147.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
147.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
147.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
146.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
146.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
146.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
146.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
145.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
145.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
145.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
145.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
145.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
145.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
144.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
144.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
143.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
143.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
143.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
142.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
142.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
142.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
142.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
141.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
141.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
141.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
141.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
141.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
140.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
140.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
140.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
139.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
139.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
139.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
138.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
138.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
138.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
137.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
137.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
137.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
137.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
137.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
137.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
137.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
136.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
136.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
135.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
135.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
135.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
135.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
134.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
134.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
134.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
134.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
134.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
134.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
133.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
133.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
133.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
133.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
132.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
132.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
132.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
131.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
131.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
130.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
130.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
130.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
130.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
130.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
130.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
130.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
129.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
129.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
129.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
129.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
128.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
128.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
127.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
127.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
126.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
126.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
126.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
126.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
126.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
125.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
125.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
125.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
125.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
124.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
124.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
124.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
124.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
123.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
123.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
123.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
123.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
123.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
122.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
122.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
122.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
122.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
122.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
122.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
121.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
121.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
121.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
121.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
120.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
120.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
120.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
120.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
120.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
119.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
119.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
119.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
118.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
118.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
118.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
118.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
118.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
117.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
117.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
117.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
117.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
116.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
116.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
116.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
116.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
116.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
116.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
115.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
115.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
115.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
115.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
115.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
115.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
115.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
115.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
114.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
114.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
114.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
114.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
114.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
113.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
113.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
113.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
113.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
113.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
113.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
113.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
113.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
112.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
112.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
112.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
112.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
112.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
112.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
112.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
112.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
111.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
111.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
110.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
110.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
110.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
110.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
110.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
110.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
110.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
109.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
109.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
109.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
108.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
108.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
108.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
107.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
107.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
107.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
107.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
107.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
106.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
106.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
106.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
106.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
105.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
105.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
105.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
105.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
105.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
105.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
104.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
104.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
104.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
104.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
103.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
103.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
103.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
103.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
102.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
102.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
102.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
102.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
102.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
102.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
101.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
101.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
101.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
100.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
100.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
99.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
99.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
99.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
99.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
99.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
98.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
98.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
98.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
98.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
97.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
97.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
97.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
97.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
97.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
96.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
96.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
96.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
95.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
95.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
95.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
95.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
95.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
94.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
94.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
93.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
93.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
93.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
93.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
93.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
92.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
92.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
92.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
92.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
92.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
92.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
92.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
91.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
91.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
91.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
90.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
90.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
90.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
90.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
89.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
89.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
89.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
88.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
88.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
88.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
88.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
88.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
87.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
87.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
87.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
87.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
87.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
87.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
87.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
86.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
85.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
85.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
85.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
85.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
84.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
84.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
84.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
83.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
83.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
82.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
82.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
82.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
82.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
81.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
80.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
80.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
80.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
80.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
80.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
80.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
79.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
79.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
79.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
77.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
76.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
76.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
76.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
76.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
76.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
75.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
75.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
74.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
72.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
72.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
70.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
70.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
70.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
70.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
70.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
69.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
68.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
67.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
67.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
67.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
65.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
65.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
63.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
62.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
60.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
58.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
58.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
55.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
54.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
52.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
52.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
LRRC59 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
99.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
236.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
222.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
188.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
175.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
165.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
159.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
156.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
150.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
144.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
136.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
133.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
131.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
130.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
129.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
128.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
128.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
126.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
126.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
125.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
125.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
125.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
125.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
123.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
122.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
120.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
118.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
117.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
115.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
114.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
113.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
110.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
108.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
107.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
106.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
106.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
103.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
102.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
101.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
101.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
100.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
99.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
99.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
98.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
98.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
98.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
97.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
97.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
97.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
94.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
94.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
93.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
92.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
86.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
85.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
85.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
83.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
83.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
81.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
80.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
79.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
79.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
78.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
77.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
76.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
75.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
74.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
73.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
72.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
69.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
69.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
68.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
68.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
66.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
66.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
60.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
56.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
55.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
54.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
53.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
52.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
51.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
51.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
46.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
37.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
36.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
34.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
21.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
LRRC59 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
112.5
Number of samples
207
Samples
Sample
Description
TPM
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
242.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
238.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
212.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
207.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
207.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
199.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
196.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
192.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
186.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
184.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
184.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
179.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
176.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
169.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
168.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
168.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
167.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
164.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
162.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
162.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
158.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
156.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
155.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
155.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
153.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
152.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
152.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
151.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
151.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
150.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
149.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
149.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
148.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
147.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
147.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
145.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
145.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
142.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
141.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
141.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
140.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
139.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
138.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
138.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
137.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
135.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
134.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
134.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
133.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
132.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
131.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
131.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
131.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
130.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
130.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
129.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
129.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
127.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
125.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
124.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
124.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
123.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
123.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
123.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
123.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
122.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
121.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
121.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
121.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
120.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
120.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
120.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
120.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
119.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
119.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
118.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
117.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
117.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
117.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
117.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
116.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
116.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
116.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
115.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
115.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
114.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
114.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
113.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
112.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
112.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
112.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
111.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
111.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
111.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
111.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
110.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
110.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
110.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
110.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
109.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
109.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
109.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
108.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
108.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
108.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
108.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
107.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
107.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
107.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
107.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
106.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
106.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
106.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
105.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
105.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
104.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
103.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
103.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
103.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
103.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
103.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
102.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
102.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
102.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
101.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
101.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
100.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
99.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
98.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
97.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
97.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
97.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
95.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
95.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
95.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
95.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
92.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
91.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
91.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
91.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
91.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
90.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
90.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
90.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
90.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
90.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
89.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
89.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
88.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
88.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
87.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
87.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
87.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
85.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
85.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
84.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
84.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
84.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
83.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
83.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
83.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
82.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
82.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
82.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
82.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
81.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
81.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
81.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
81.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
81.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
80.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
80.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
80.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
80.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
80.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
79.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
79.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
78.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
78.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
78.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
77.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
76.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
74.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
74.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
74.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
73.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
70.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
69.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
69.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
68.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
68.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
68.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
68.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
67.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
67.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
64.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
62.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
62.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
62.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
61.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
61.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
55.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
51.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
44.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
21.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.9
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.6
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.2
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COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.