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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.
NDUFV1 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
124.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
256.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
250.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
224.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
212.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
205.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
203.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
201.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
189.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
187.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
186.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
184.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
184.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
183.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
182.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
180.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
179.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
179.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
178.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
178.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
178.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
177.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
176.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
175.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
175.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
174.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
172.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
171.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
170.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
169.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
167.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
167.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
167.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
166.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
165.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
164.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
164.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
164.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
161.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
161.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
160.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
160.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
160.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
159.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
158.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
158.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
158.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
156.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
156.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
156.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
155.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
154.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
153.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
153.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
153.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
152.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
151.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
150.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
150.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
150.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
149.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
149.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
148.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
147.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
147.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
147.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
146.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
145.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
144.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
144.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
143.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
143.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
141.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
141.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
141.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
139.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
139.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
139.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
137.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
137.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
137.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
136.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
136.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
136.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
136.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
135.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
135.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
135.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
134.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
133.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
133.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
133.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
133.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
132.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
132.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
132.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
131.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
131.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
131.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
130.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
130.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
130.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
130.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
130.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
128.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
128.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
128.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
127.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
126.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
126.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
126.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
126.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
125.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
125.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
125.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
124.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
124.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
124.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
123.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
123.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
123.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
123.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
122.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
122.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
122.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
122.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
122.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
121.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
121.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
121.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
121.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
120.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
120.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
120.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
120.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
119.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
119.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
119.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
119.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
118.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
118.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
117.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
117.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
117.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
116.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
116.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
116.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
115.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
115.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
115.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
115.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
115.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
115.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
114.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
113.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
113.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
113.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
113.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
112.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
112.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
111.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
111.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
111.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
110.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
110.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
109.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
109.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
109.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
109.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
109.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
109.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
109.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
108.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
107.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
107.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
106.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
105.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
105.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
104.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
104.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
103.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
103.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
103.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
102.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
102.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
102.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
101.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
101.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
101.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
101.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
100.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
100.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
100.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
100.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
99.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
99.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
98.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
98.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
98.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
97.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
97.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
97.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
97.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
96.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
96.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
96.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
95.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
95.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
95.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
94.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
93.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
93.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
93.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
92.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
92.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
91.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
91.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
91.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
90.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
89.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
87.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
87.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
86.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
84.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
84.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
84.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
83.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
82.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
82.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
81.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
80.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
79.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
78.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
78.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
76.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
75.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
74.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
74.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
73.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
73.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
73.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
71.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
70.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
68.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
67.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
66.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
65.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
63.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
62.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
61.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
61.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
58.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
57.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
53.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 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.
NDUFV1 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
77.7
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
179.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
163.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
153.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
133.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
132.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
129.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
129.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
127.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
125.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
125.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
123.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
123.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
123.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
118.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
118.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
118.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
117.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
116.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
115.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
114.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
114.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
113.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
112.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
111.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
111.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
109.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
107.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
106.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
106.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
106.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
106.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
106.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
106.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
106.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
105.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
105.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
105.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
105.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
105.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
105.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
104.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
104.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
104.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
104.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
103.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
102.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
102.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
102.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
102.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
102.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
102.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
102.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
101.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
101.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
101.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
101.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
101.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
101.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
101.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
100.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
100.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
100.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
100.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
99.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
99.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
98.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
98.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
98.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
98.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
98.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
98.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
97.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
97.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
97.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
97.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
97.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
97.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
96.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
96.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
96.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
96.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
96.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
96.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
96.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
96.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
96.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
96.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
95.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
95.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
95.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
95.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
95.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
94.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
94.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
94.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
94.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
94.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
94.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
94.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
93.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
93.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
93.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
93.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
92.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
92.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
92.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
92.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
92.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
92.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
91.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
91.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
91.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
91.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
91.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
90.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
90.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
90.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
90.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
90.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
90.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
90.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
89.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
89.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
89.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
88.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
88.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
88.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
88.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
88.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
88.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
87.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
87.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
87.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
86.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
86.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
86.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
86.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
85.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
85.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
85.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
85.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
85.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
85.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
85.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
85.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
85.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
84.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
84.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
84.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
84.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
84.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
84.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
84.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
84.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
84.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
84.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
84.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
83.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
83.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
83.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
83.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
83.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
83.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
82.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
82.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
82.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
82.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
82.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
82.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
82.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
82.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
82.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
82.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
82.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
82.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
81.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
81.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
81.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
81.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
81.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
81.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
81.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
81.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
81.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
81.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
81.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
81.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
80.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
80.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
80.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
80.4
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
80.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
80.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
80.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
80.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
80.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
80.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
79.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
79.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
79.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
79.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
79.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
78.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
78.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
78.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
78.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
78.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
78.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
78.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
78.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
77.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
77.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
77.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
77.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
77.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
77.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
77.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
77.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
77.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
77.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
76.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
76.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
76.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
76.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
76.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
76.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
76.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
76.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
76.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
76.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
76.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
76.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
76.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
76.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
76.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
76.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
76.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
76.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
75.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
75.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
75.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
75.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
75.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
75.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
75.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
75.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
75.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
75.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
75.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
74.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
74.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
74.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
74.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
74.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
74.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
74.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
74.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
74.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
74.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
74.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
73.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
73.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
73.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
73.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
73.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
73.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
73.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
73.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
73.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
73.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
72.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
72.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
72.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
72.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
72.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
72.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
72.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
72.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
72.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
72.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
71.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
71.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
71.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
71.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
71.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
71.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
71.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
71.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
71.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
71.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
71.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
71.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
71.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
71.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
70.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
70.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
70.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
70.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
70.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
70.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
70.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
70.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
70.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
69.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
69.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
69.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
69.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
69.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
69.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
69.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
69.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
69.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
69.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
69.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
69.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
69.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
68.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
68.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
68.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
68.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
68.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
68.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
68.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
68.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
68.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
68.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
68.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
67.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
67.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
67.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
67.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
67.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
67.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
67.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
67.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
66.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
66.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
66.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
66.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
66.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
66.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
66.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
66.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
66.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
65.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
65.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
65.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
65.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
65.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
65.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
65.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
65.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
64.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
64.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
64.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
64.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
64.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
64.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
63.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
63.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
63.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
63.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
63.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
63.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
63.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
62.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
62.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
62.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
62.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
62.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
61.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
61.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
61.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
61.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
61.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
61.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
60.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
60.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
60.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
60.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
60.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
60.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
60.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
60.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
60.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
59.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
59.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
59.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
59.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
59.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
59.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
59.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
58.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
58.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
58.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
58.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
58.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
58.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
58.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
58.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
58.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
58.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
58.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
58.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
57.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
57.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
56.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
56.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
56.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
56.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
56.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
56.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
55.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
55.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
55.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
55.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
55.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
55.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
54.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
54.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
54.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
54.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
54.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
53.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
53.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
52.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
52.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
51.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
50.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
49.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
49.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
48.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
46.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
46.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
46.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
46.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
45.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
42.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
42.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
41.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
41.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
40.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
36.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
16.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
NDUFV1 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
113.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
258.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
236.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
208.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
207.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
205.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
173.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
169.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
169.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
168.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
164.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
163.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
157.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
155.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
152.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
150.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
147.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
142.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
141.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
140.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
138.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
138.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
137.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
136.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
135.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
134.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
130.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
129.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
128.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
125.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
122.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
121.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
121.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
119.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
118.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
117.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
117.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
117.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
115.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
114.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
113.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
113.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
113.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
110.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
110.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
108.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
107.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
107.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
103.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
102.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
101.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
101.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
100.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
99.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
99.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
99.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
98.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
96.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
96.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
94.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
92.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
91.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
90.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
89.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
88.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
88.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
87.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
87.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
87.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
85.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
85.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
84.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
84.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
79.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
74.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
72.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
70.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
66.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
65.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
65.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
64.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
59.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
55.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
53.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
49.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
43.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
42.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
41.3
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.
NDUFV1 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
69.5
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
123.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
121.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
117.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
116.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
106.6
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
106.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
106.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
106.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
105.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
102.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
102.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
102.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
99.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
98.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
96.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
96.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
95.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
94.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
93.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
92.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
91.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
91.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
91.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
89.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
89.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
88.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
88.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
87.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
86.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
86.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
86.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
85.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
85.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
85.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
85.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
85.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
84.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
83.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
83.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
83.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
82.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
82.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
82.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
81.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
81.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
81.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
81.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
81.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
80.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
80.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
80.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
80.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
80.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
80.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
79.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
79.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
79.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
79.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
79.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
78.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
78.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
78.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
78.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
77.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
77.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
77.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
77.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
77.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
76.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
76.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
76.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
75.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
75.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
75.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
75.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
75.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
74.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
74.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
74.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
74.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
74.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
74.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
74.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
74.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
73.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
73.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
73.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
72.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
71.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
71.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
71.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
71.1
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
70.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
70.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
70.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
70.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
69.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
69.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
69.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
69.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
69.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
67.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
67.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
67.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
67.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
67.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
67.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
67.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
66.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
66.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
66.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
66.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
66.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
66.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
65.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
65.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
65.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
65.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
65.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
65.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
65.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
65.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
64.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
64.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
63.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
63.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
63.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
62.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
62.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
62.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
62.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
62.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
61.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
61.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
61.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
61.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
60.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
60.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
60.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
60.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
59.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
59.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
59.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
59.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
57.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
56.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
56.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
56.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
56.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
55.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
55.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
55.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
55.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
54.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
52.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
52.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
51.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
51.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
51.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
51.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
51.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
50.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
49.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
48.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
47.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
47.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
47.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
46.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
46.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
45.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
45.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
43.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
43.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
43.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
42.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
41.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
41.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
37.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
37.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
37.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
36.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
35.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
32.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
31.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.8
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.8
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.8
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-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
