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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.
CCT4 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
118.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
266.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
246.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
217.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
207.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
207.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
206.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
204.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
203.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
184.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
184.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
182.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
181.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
181.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
179.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
178.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
178.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
174.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
173.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
173.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
171.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
170.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
169.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
169.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
169.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
165.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
164.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
163.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
161.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
160.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
158.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
158.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
155.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
155.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
154.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
153.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
152.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
152.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
151.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
150.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
150.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
149.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
148.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
148.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
147.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
147.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
147.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
146.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
145.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
145.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
145.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
144.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
144.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
142.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
142.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
141.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
141.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
141.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
141.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
141.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
140.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
140.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
140.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
140.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
139.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
139.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
139.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
138.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
138.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
138.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
137.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
137.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
136.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
135.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
134.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
132.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
132.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
131.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
131.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
130.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
130.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
130.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
130.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
129.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
129.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
129.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
129.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
128.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
128.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
127.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
127.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
127.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
127.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
127.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
127.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
126.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
126.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
126.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
125.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
124.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
124.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
124.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
123.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
123.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
122.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
121.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
121.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
121.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
121.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
120.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
120.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
118.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
118.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
118.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
117.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
117.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
116.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
115.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
115.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
115.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
114.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
114.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
114.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
114.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
113.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
112.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
112.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
112.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
111.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
111.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
110.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
110.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
110.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
109.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
109.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
109.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
109.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
109.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
109.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
108.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
108.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
108.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
108.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
107.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
107.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
107.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
107.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
106.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
106.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
106.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
106.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
105.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
105.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
105.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
105.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
105.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
105.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
104.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
103.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
103.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
102.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
102.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
102.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
102.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
102.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
102.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
102.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
101.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
100.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
100.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
100.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
100.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
99.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
99.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
99.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
99.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
99.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
99.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
99.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
98.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
98.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
98.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
98.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
98.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
98.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
97.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
97.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
97.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
97.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
97.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
96.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
96.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
95.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
95.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
95.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
94.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
94.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
94.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
93.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
92.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
92.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
91.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
91.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
91.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
90.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
90.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
90.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
90.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
90.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
89.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
88.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
88.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
88.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
88.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
86.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
86.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
86.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
85.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
85.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
85.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
84.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
84.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
84.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
82.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
81.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
80.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
79.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
78.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
77.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
77.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
77.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
77.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
77.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
77.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
76.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
76.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
76.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
75.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
75.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
75.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
75.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
73.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
73.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
72.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
72.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
70.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
66.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
65.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
65.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
63.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
62.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
59.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
59.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
55.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
CCT4 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
78.7
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
267.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
144.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
142.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
135.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
135.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
131.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
130.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
129.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
129.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
127.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
125.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
125.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
124.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
123.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
121.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
120.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
120.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
120.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
119.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
119.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
118.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
117.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
117.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
117.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
116.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
115.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
114.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
113.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
113.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
112.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
112.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
111.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
111.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
111.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
111.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
111.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
110.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
110.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
110.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
109.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
109.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
109.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
109.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
109.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
108.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
108.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
108.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
108.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
108.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
108.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
107.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
107.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
106.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
106.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
106.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
105.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
105.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
105.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
105.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
104.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
103.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
103.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
102.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
102.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
102.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
102.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
101.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
101.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
101.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
101.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
101.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
101.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
100.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
100.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
100.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
100.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
100.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
99.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
99.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
99.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
99.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
98.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
98.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
98.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
98.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
98.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
98.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
98.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
97.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
97.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
97.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
97.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
97.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
97.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
97.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
97.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
96.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
96.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
96.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
96.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
96.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
96.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
96.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
95.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
95.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
95.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
95.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
94.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
94.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
94.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
94.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
94.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
93.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
93.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
93.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
93.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
93.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
93.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
93.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
93.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
92.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
92.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
92.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
91.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
91.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
91.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
91.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
91.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
90.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
90.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
90.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
90.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
90.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
90.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
89.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
89.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
89.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
89.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
89.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
89.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
89.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
89.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
89.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
89.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
88.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
88.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
88.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
88.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
87.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
87.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
87.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
86.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
86.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
86.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
86.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
85.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
85.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
85.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
85.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
85.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
85.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
85.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
85.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
85.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
84.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
84.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
84.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
84.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
84.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
84.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
84.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
84.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
84.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
83.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
83.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
83.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
83.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
83.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
83.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
83.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
83.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
82.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
82.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
82.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
82.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
82.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
82.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
82.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
82.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
82.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
82.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
82.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
82.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
82.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
82.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
81.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
81.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
81.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
81.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
81.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
80.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
80.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
80.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
80.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
80.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
80.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
80.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
80.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
80.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
80.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
80.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
79.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
79.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
79.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
79.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
79.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
79.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
79.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
79.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
79.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
79.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
79.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
79.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
79.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
79.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
78.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
78.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
78.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
78.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
78.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
78.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
77.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
77.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
77.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
77.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
77.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
76.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
76.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
76.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
76.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
76.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
76.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
76.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
76.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
76.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
76.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
75.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
75.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
75.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
75.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
75.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
75.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
75.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
74.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
74.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
74.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
74.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
74.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
74.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
74.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
74.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
74.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
74.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
74.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
74.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
73.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
73.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
73.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
73.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
72.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
72.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
72.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
72.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
72.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
72.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
71.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
71.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
71.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
71.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
71.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
71.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
71.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
70.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
70.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
70.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
70.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
70.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
70.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
69.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
69.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
69.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
69.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
69.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
69.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
69.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
69.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
68.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
68.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
68.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
68.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
68.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
68.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
68.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
68.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
68.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
68.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
68.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
67.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
67.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
67.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
67.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
67.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
67.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
67.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
67.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
67.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
67.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
67.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
66.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
66.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
66.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
66.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
66.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
66.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
66.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
66.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
66.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
66.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
66.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
65.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
65.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
65.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
65.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
65.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
65.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
65.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
65.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
65.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
65.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
65.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
65.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
65.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
65.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
64.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
64.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
64.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
64.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
63.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
63.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
63.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
63.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
63.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
63.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
63.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
63.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
63.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
63.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
63.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
62.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
62.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
62.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
62.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
62.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
62.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
62.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
62.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
62.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
61.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
61.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
61.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
61.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
61.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
61.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
61.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
61.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
60.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
60.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
60.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
60.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
60.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
59.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
59.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
59.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
59.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
58.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
58.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
57.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
57.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
57.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
57.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
57.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
57.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
56.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
56.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
56.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
56.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
56.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
56.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
56.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
55.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
55.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
55.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
55.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
55.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
55.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
55.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
55.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
55.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
54.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
53.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
53.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
53.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
52.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
52.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
52.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
52.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
52.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
52.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
51.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
51.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
51.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
49.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
49.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
49.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
49.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
49.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
48.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
48.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
48.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
48.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
48.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
48.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
47.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
47.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
46.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
46.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
45.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
44.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
44.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
43.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
42.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
41.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
40.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
39.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
38.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
34.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CCT4 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
121.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
249.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
230.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
196.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
181.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
175.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
168.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
168.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
162.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
161.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
161.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
158.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
156.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
155.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
151.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
151.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
151.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
151.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
148.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
148.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
147.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
145.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
142.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
142.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
139.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
138.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
138.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
138.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
138.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
137.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
137.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
135.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
134.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
134.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
133.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
133.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
132.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
132.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
131.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
130.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
127.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
126.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
123.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
123.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
122.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
122.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
119.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
118.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
118.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
116.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
116.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
115.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
115.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
115.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
114.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
113.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
113.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
113.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
111.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
111.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
108.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
108.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
108.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
107.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
102.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
100.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
100.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
98.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
98.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
98.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
96.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
95.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
93.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
84.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
83.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
83.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
81.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
79.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
77.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
77.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
75.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
75.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
72.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
65.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
54.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
45.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
31.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
29.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CCT4 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
70.2
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
152.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
146.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
139.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
132.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
121.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
117.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
116.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
114.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
113.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
107.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
107.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
105.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
104.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
103.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
103.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
99.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
99.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
98.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
98.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
95.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
94.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
94.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
93.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
93.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
92.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
91.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
90.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
90.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
88.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
88.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
88.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
87.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
86.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
86.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
86.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
84.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
84.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
84.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
84.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
83.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
83.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
82.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
82.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
81.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
81.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
81.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
81.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
80.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
80.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
80.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
80.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
79.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
79.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
79.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
79.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
78.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
78.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
78.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
78.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
77.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
77.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
77.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
76.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
76.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
76.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
76.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
75.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
75.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
75.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
75.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
75.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
75.5
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
74.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
74.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
74.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
74.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
73.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
73.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
73.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
73.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
72.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
72.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
72.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
71.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
71.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
70.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
70.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
69.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
69.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
69.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
69.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
68.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
68.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
68.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
68.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
68.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
67.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
67.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
67.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
67.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
67.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
66.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
66.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
66.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
66.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
66.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
66.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
66.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
65.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
65.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
65.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
64.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
64.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
63.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
63.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
63.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
63.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
63.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
63.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
63.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
62.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
62.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
62.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
62.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
61.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
61.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
61.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
61.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
61.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
60.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
60.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
60.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
60.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
60.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
60.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
60.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
59.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
59.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
58.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
58.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
58.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
58.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
58.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
57.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
56.9
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
56.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
56.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
56.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
56.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
55.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
54.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
53.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
53.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
53.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
53.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
53.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
52.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
52.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
52.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
51.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
50.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
50.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
48.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
47.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
47.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
47.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
47.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
47.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
47.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
46.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
46.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
45.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
44.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
43.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
43.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
41.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
40.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
40.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
39.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
38.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
37.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
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.