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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.
ARPC5 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
111.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
278.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
237.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
214.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
212.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
206.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
206.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
205.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
205.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
202.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
201.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
199.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
199.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
198.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
196.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
192.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
189.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
186.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
184.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
178.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
178.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
175.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
172.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
167.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
167.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
164.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
164.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
163.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
163.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
161.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
160.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
158.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
158.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
158.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
156.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
156.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
154.3
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
154.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
153.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
152.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
150.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
149.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
149.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
148.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
148.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
147.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
147.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
145.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
142.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
139.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
138.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
138.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
138.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
137.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
136.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
136.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
135.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
135.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
135.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
134.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
134.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
133.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
133.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
132.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
132.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
132.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
132.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
132.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
129.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
129.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
129.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
128.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
128.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
127.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
126.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
126.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
125.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
125.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
125.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
125.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
125.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
125.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
124.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
124.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
124.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
123.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
123.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
122.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
122.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
122.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
122.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
122.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
121.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
121.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
120.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
120.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
120.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
120.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
119.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
118.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
118.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
118.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
117.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
115.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
115.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
115.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
114.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
114.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
114.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
114.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
113.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
113.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
113.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
112.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
112.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
112.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
111.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
111.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
111.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
110.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
110.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
110.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
109.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
109.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
109.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
108.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
108.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
108.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
107.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
106.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
106.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
106.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
105.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
105.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
105.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
104.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
104.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
104.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
103.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
103.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
103.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
102.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
102.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
102.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
101.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
101.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
101.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
100.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
100.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
100.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
99.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
99.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
99.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
99.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
98.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
98.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
98.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
98.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
98.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
98.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
97.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
96.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
96.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
96.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
96.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
96.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
95.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
94.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
94.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
92.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
92.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
91.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
91.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
91.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
91.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
90.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
90.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
90.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
90.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
89.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
89.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
87.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
87.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
87.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
87.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
87.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
86.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
85.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
85.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
84.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
84.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
83.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
83.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
83.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
82.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
82.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
81.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
81.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
80.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
80.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
80.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
80.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
80.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
80.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
79.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
79.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
78.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
78.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
77.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
75.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
75.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
74.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
73.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
73.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
73.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
72.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
71.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
71.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
71.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
70.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
69.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
68.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
68.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
68.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
66.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
65.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
64.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
63.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
63.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
62.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
62.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
60.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
60.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
59.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
59.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
57.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
56.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
56.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
54.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
54.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
54.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
53.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
52.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
52.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
51.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
50.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
49.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
42.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
37.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
35.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
35.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
32.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
31.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
ARPC5 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
55.1
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
149.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
118.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
116.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
108.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
105.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
102.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
99.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
98.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
98.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
95.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
93.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
89.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
86.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
85.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
84.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
83.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
82.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
80.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
80.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
79.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
79.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
79.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
78.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
78.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
77.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
77.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
77.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
76.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
76.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
75.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
75.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
75.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
74.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
74.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
74.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
74.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
73.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
73.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
73.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
72.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
72.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
72.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
72.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
72.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
72.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
71.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
71.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
71.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
71.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
71.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
71.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
71.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
71.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
71.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
71.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
71.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
70.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
70.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
70.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
70.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
70.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
70.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
69.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
69.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
69.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
69.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
69.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
69.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
69.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
68.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
68.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
68.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
68.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
68.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
68.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
68.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
68.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
67.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
67.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
67.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
67.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
67.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
67.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
67.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
67.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
67.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
67.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
67.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
67.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
67.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
66.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
66.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
66.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
66.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
66.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
66.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
66.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
66.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
66.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
66.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
66.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
65.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
65.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
65.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
65.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
65.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
65.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
65.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
65.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
65.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
65.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
65.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
64.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
64.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
64.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
64.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
63.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
63.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
63.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
63.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
63.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
63.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
63.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
63.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
63.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
63.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
62.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
62.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
62.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
62.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
62.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
61.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
61.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
61.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
61.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
61.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
61.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
61.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
61.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
61.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
61.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
60.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
60.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
60.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
60.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
60.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
60.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
60.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
60.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
60.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
59.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
59.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
59.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
59.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
59.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
59.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
59.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
59.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
59.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
58.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
58.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
58.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
58.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
58.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
58.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
58.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
58.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
58.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
57.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
57.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
57.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
57.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
57.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
57.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
57.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
57.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
57.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
57.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
56.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
56.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
56.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
56.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
56.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
56.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
56.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
56.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
56.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
56.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
56.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
56.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
55.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
55.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
55.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
55.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
55.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
55.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
55.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
55.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
54.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
54.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
54.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
54.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
54.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
54.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
54.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
53.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
53.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
53.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
53.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
53.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
53.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
53.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
53.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
53.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
53.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
53.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
53.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
53.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
53.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
53.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
52.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
52.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
52.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
52.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
52.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
52.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
52.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
52.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
52.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
52.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
52.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
52.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
52.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
51.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
51.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
51.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
51.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
51.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
51.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
51.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
51.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
51.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
51.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
51.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
51.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
50.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
50.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
50.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
50.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
50.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
49.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
49.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
49.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
49.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
49.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
49.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
49.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
49.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
49.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
49.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
49.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
48.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
48.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
48.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
48.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
48.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
48.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
48.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
47.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
47.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
47.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
47.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
47.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
47.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
47.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
47.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
47.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
47.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
47.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
46.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
46.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
46.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
46.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
46.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
46.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
46.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
46.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
46.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
46.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
45.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
45.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
45.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
45.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
45.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
45.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
45.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
45.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
45.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
45.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
45.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
45.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
45.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
45.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
44.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
44.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
44.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
44.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
44.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
44.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
44.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
44.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
44.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
44.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
44.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
43.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
43.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
43.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
43.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
43.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
43.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
43.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
42.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
42.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
42.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
42.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
42.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
42.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
42.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
41.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
41.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
41.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
41.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
41.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
41.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
41.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
41.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
41.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
40.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
40.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
40.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
40.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
40.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
40.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
40.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
39.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
39.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
39.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
39.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
39.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
39.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
38.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
38.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
38.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
38.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
38.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
38.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
38.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
38.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
38.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
38.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
37.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
37.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
37.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
37.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
37.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
36.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
36.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
35.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
35.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
34.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
34.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
34.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
33.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
33.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
33.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
32.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
32.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
32.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
31.6
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
31.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
30.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
30.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
29.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
25.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
23.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ARPC5 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
116.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
223.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
216.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
216.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
202.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
202.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
197.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
196.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
192.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
185.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
178.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
177.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
164.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
157.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
154.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
153.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
151.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
150.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
150.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
148.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
148.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
147.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
141.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
139.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
138.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
137.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
135.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
133.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
132.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
130.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
128.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
127.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
126.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
125.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
125.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
121.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
120.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
119.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
117.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
116.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
116.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
115.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
115.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
115.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
114.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
113.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
112.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
111.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
111.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
110.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
109.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
107.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
106.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
104.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
103.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
103.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
103.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
102.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
102.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
102.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
101.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
96.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
94.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
92.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
92.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
92.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
90.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
90.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
90.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
88.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
87.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
84.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
84.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
79.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
76.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
76.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
74.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
71.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
69.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
66.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
64.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
60.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
55.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
54.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
40.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
25.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
16.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ARPC5 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
47.8
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
98.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
98.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
93.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
90.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
77.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
74.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
72.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
71.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
71.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
70.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
66.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
65.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
65.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
64.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
64.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
63.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
63.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
62.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
62.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
60.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
60.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
60.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
59.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
58.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
57.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
57.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
56.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
56.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
56.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
56.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
55.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
55.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
55.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
55.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
55.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
54.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
54.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
54.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
54.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
53.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
53.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
53.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
53.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
53.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
53.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
53.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
52.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
52.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
52.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
52.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
52.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
51.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
51.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
51.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
51.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
51.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
50.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
50.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
50.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
50.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
50.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
50.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
50.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
49.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
49.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
49.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
49.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
48.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
48.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
48.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
48.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
47.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
47.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
47.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
47.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
47.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
46.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
46.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
46.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
46.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
46.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
45.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
45.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
45.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
45.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
45.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
45.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
45.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
45.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
45.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
44.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
44.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
44.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
44.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
44.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
43.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
43.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
43.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
43.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
43.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
42.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
42.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
42.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
41.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
41.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
41.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
40.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
40.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
39.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
39.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
39.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
39.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
39.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
39.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
39.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
38.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
38.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
38.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
38.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
38.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
38.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
37.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
37.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
37.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
37.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
36.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
36.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
36.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
36.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
36.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
35.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
35.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
35.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
35.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
35.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
34.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
33.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
33.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
33.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
33.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
33.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
32.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
32.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
32.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
32.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
32.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
31.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
28.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
27.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
25.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
