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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.
VDAC3 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
114.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1134.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
347.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
266.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
243.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
236.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
235.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
228.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
224.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
224.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
210.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
202.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
195.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
193.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
189.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
188.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
183.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
183.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
181.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
178.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
176.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
173.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
172.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
170.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
169.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
165.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
165.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
164.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
164.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
162.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
160.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
160.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
159.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
159.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
159.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
159.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
158.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
154.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
151.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
150.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
149.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
147.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
147.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
143.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
141.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
141.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
141.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
140.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
140.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
139.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
139.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
137.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
137.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
136.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
136.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
136.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
133.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
133.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
133.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
133.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
133.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
132.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
132.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
132.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
131.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
131.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
131.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
130.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
129.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
129.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
129.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
128.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
127.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
127.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
126.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
125.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
124.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
124.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
123.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
122.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
122.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
121.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
121.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
120.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
120.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
119.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
118.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
118.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
118.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
117.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
117.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
117.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
117.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
116.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
115.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
114.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
114.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
114.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
112.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
112.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
112.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
111.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
111.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
111.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
111.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
110.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
110.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
110.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
110.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
110.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
109.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
109.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
109.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
109.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
109.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
108.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
108.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
107.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
107.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
107.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
107.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
106.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
106.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
105.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
105.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
105.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
105.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
104.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
104.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
104.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
104.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
104.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
103.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
103.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
103.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
103.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
103.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
101.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
101.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
100.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
100.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
100.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
99.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
99.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
98.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
98.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
97.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
96.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
96.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
96.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
96.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
95.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
95.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
94.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
94.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
94.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
94.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
93.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
93.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
93.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
92.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
92.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
91.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
91.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
91.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
90.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
90.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
90.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
90.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
89.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
89.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
89.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
87.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
86.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
86.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
86.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
85.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
85.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
85.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
84.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
84.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
83.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
82.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
82.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
82.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
81.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
81.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
81.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
81.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
80.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
80.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
80.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
79.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
79.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
79.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
79.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
78.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
78.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
77.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
77.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
77.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
77.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
77.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
76.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
76.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
76.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
75.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
75.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
75.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
75.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
74.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
73.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
73.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
72.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
72.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
72.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
71.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
71.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
70.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
70.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
70.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
69.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
69.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
69.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
69.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
68.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
67.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
64.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
62.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
62.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
61.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
60.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
60.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
60.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
59.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
58.7
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
58.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
58.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
58.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
57.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
56.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
55.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
52.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
51.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
50.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
44.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
44.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
44.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
44.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
43.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
43.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
41.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
38.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 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.
VDAC3 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
74.7
Number of samples
486
Samples
Sample
Description
TPM
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
171.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
157.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
156.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
156.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
153.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
150.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
142.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
141.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
140.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
140.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
138.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
134.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
133.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
130.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
129.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
125.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
124.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
123.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
122.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
117.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
116.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
116.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
116.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
116.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
116.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
116.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
115.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
115.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
115.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
115.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
114.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
113.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
111.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
110.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
110.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
109.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
108.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
107.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
107.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
107.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
106.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
106.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
106.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
106.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
102.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
102.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
101.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
101.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
101.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
100.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
100.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
99.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
99.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
99.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
99.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
99.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
99.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
98.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
98.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
98.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
98.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
97.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
97.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
97.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
96.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
96.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
96.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
96.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
96.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
95.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
95.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
94.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
94.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
94.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
94.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
94.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
94.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
94.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
93.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
93.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
93.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
93.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
93.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
93.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
93.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
93.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
93.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
92.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
92.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
92.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
92.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
91.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
91.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
91.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
91.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
91.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
90.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
90.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
90.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
90.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
90.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
90.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
90.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
90.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
89.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
89.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
89.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
89.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
89.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
89.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
88.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
88.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
88.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
88.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
88.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
87.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
87.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
86.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
86.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
86.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
86.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
86.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
86.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
86.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
86.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
86.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
86.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
85.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
85.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
85.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
85.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
85.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
85.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
84.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
84.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
84.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
84.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
83.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
83.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
83.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
83.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
83.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
83.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
83.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
83.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
83.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
82.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
82.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
82.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
82.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
82.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
82.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
81.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
81.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
81.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
81.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
81.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
81.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
81.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
80.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
80.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
80.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
80.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
80.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
80.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
80.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
79.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
79.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
79.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
79.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
79.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
78.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
78.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
78.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
78.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
78.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
78.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
77.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
77.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
77.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
77.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
77.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
77.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
77.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
77.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
77.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
77.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
77.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
77.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
77.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
77.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
76.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
76.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
76.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
76.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
76.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
76.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
76.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
76.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
76.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
76.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
76.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
76.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
76.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
76.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
75.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
75.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
75.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
75.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
75.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
74.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
74.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
74.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
74.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
74.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
74.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
74.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
74.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
74.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
74.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
74.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
74.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
73.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
73.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
73.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
73.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
73.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
73.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
73.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
73.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
72.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
72.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
72.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
72.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
72.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
72.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
71.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
71.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
71.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
71.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
71.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
70.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
70.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
70.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
70.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
69.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
69.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
69.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
69.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
69.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
69.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
69.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
69.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
69.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
68.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
68.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
68.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
68.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
68.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
68.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
68.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
68.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
68.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
68.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
68.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
68.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
68.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
68.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
67.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
67.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
67.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
67.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
67.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
67.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
67.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
67.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
67.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
66.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
66.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
66.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
66.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
66.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
66.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
66.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
66.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
66.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
66.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
66.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
65.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
65.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
65.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
65.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
65.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
65.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
65.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
64.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
64.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
64.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
64.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
64.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
64.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
64.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
64.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
64.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
64.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
64.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
64.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
63.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
63.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
63.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
63.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
63.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
63.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
63.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
63.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
63.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
63.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
62.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
62.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
62.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
62.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
62.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
62.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
62.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
62.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
62.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
62.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
62.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
62.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
62.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
62.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
62.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
62.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
62.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
62.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
61.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
61.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
61.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
61.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
61.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
61.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
60.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
60.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
60.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
60.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
60.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
60.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
60.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
60.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
60.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
59.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
59.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
59.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
59.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
59.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
59.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
59.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
59.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
59.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
59.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
58.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
58.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
58.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
58.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
58.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
58.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
58.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
58.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
57.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
57.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
57.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
57.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
56.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
56.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
56.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
56.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
56.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
55.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
55.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
55.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
55.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
55.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
55.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
55.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
54.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
54.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
54.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
54.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
54.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
54.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
54.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
53.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
53.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
53.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
53.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
53.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
53.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
52.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
52.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
52.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
51.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
51.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
51.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
51.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
51.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
50.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
50.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
50.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
50.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
50.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
50.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
50.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
49.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
49.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
49.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
48.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
48.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
48.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
47.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
47.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
47.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
46.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
46.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
46.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
46.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
45.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
44.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
44.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
41.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
40.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
39.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
39.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
39.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
38.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
33.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
33.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
32.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
25.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
24.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
22.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.3
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.
VDAC3 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
107.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
236.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
215.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
188.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
186.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
171.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
171.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
163.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
158.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
158.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
150.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
149.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
148.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
143.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
142.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
140.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
138.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
135.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
133.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
133.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
131.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
130.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
129.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
128.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
127.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
127.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
121.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
119.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
118.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
118.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
116.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
116.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
114.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
114.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
113.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
112.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
108.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
108.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
107.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
107.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
107.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
104.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
104.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
102.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
100.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
100.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
100.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
99.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
99.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
98.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
98.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
97.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
97.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
96.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
96.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
95.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
94.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
94.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
93.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
92.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
92.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
90.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
89.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
89.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
87.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
86.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
81.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
81.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
79.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
79.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
77.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
77.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
77.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
76.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
74.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
73.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
69.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
68.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
63.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
60.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
55.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
55.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
54.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
54.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
44.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
44.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
42.1
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.
VDAC3 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
63.6
Number of samples
207
Samples
Sample
Description
TPM
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
173.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
136.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
128.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
112.0
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
107.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
106.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
104.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
103.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
102.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
101.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
97.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
97.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
94.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
94.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
93.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
93.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
91.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
91.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
90.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
89.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
89.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
89.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
88.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
88.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
88.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
87.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
86.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
85.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
85.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
85.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
84.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
84.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
82.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
82.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
81.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
81.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
78.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
78.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
78.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
77.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
77.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
76.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
76.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
76.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
76.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
76.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
75.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
75.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
75.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
75.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
74.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
74.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
73.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
73.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
73.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
72.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
72.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
72.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
72.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
71.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
71.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
71.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
70.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
70.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
70.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
70.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
69.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
69.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
69.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
69.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
69.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
69.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
68.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
68.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
67.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
67.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
66.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
66.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
66.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
66.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
66.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
65.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
65.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
64.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
64.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
64.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
63.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
63.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
63.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
63.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
63.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
63.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
62.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
62.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
61.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
61.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
61.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
61.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
60.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
60.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
59.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
59.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
59.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
59.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
59.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
59.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
58.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
58.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
58.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
57.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
57.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
57.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
56.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
56.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
56.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
55.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
55.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
55.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
55.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
55.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
54.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
54.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
54.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
54.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
54.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
54.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
54.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
54.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
53.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
53.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
53.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
52.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
52.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
52.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
52.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
52.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
51.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
51.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
50.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
50.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
50.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
49.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
49.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
48.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
48.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
48.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
48.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
47.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
47.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
47.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
46.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
44.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
44.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
44.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
42.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
42.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
42.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
41.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
40.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
40.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
38.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
37.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
37.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
37.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
36.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
36.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
36.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
36.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
35.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
35.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
33.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
33.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
33.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
29.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
1.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.9
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.0
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
