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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.
SELENOH is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
118.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
297.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
269.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
229.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
221.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
213.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
212.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
208.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
207.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
207.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
206.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
204.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
201.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
198.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
195.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
192.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
189.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
187.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
186.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
186.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
186.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
184.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
183.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
179.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
177.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
176.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
172.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
172.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
165.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
165.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
164.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
161.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
161.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
161.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
160.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
159.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
156.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
155.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
154.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
154.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
154.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
153.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
151.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
151.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
150.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
150.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
150.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
149.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
149.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
148.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
148.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
147.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
147.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
147.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
146.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
144.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
143.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
142.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
142.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
142.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
141.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
140.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
140.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
139.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
139.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
139.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
139.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
139.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
139.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
138.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
138.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
137.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
136.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
135.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
135.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
135.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
135.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
134.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
134.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
133.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
133.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
132.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
132.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
132.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
131.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
131.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
130.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
129.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
129.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
129.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
128.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
127.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
127.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
127.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
126.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
125.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
125.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
125.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
125.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
124.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
123.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
123.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
122.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
122.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
122.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
121.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
121.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
119.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
119.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
119.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
118.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
117.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
116.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
116.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
115.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
115.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
115.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
114.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
114.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
114.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
114.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
113.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
113.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
113.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
112.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
112.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
111.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
111.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
111.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
110.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
110.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
110.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
110.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
109.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
109.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
109.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
108.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
108.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
108.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
107.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
107.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
107.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
107.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
107.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
106.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
106.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
106.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
105.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
105.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
105.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
105.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
105.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
105.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
104.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
103.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
102.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
101.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
101.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
100.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
100.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
100.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
100.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
100.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
99.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
99.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
99.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
99.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
99.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
98.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
98.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
98.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
98.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
98.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
98.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
97.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
97.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
97.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
96.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
95.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
95.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
95.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
95.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
94.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
94.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
94.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
94.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
94.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
94.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
94.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
94.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
92.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
92.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
91.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
91.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
91.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
90.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
90.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
90.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
89.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
89.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
89.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
89.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
88.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
87.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
87.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
87.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
86.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
86.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
85.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
84.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
84.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
84.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
84.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
83.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
83.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
82.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
82.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
82.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
81.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
81.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
80.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
80.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
80.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
78.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
76.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
75.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
75.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
74.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
74.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
74.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
73.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
72.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
72.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
72.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
70.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
69.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
69.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
68.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
66.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
66.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
63.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
63.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
63.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
62.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
62.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
61.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
57.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
56.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
55.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
54.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
42.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
34.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
24.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
SELENOH 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
33.9
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
89.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
70.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
62.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
62.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
57.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
57.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
55.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
54.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
54.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
54.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
54.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
53.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
53.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
53.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
52.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
52.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
52.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
51.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
51.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
51.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
51.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
51.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
51.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
51.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
50.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
50.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
50.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
49.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
49.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
49.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
48.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
47.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
47.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
46.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
46.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
46.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
46.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
46.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
46.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
46.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
45.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
45.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
45.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
45.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
45.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
45.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
45.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
45.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
45.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
44.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
44.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
44.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
44.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
44.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
44.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
44.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
43.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
43.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
43.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
43.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
43.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
43.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
43.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
43.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
43.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
43.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
43.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
42.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
42.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
42.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
42.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
42.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
41.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
41.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
41.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
41.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
41.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
41.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
41.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
40.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
40.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
40.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
40.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
40.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
40.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
40.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
40.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
40.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
40.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
40.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
40.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
40.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
40.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
39.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
39.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
39.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
39.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
39.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
39.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
39.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
39.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
39.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
39.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
39.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
39.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
39.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
39.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
38.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
38.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
38.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
38.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
38.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
38.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
38.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
38.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
38.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
37.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
37.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
37.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
37.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
37.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
37.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
37.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
37.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
37.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
37.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
37.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
37.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
36.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
36.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
36.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
36.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
36.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
36.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
36.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
36.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
36.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
36.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
36.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
36.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
36.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
36.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
36.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
36.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
35.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
35.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
35.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
35.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
35.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
35.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
35.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
35.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
35.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
35.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
35.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
35.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
35.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
35.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
35.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
35.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
35.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
34.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
34.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
34.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
34.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
34.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
34.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
34.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
34.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
34.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
34.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
34.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
34.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
34.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
34.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
34.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
34.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
34.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
34.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
34.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
33.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
33.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
33.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
33.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
33.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
33.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
33.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
33.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
33.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
33.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
33.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
33.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
33.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
33.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
33.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
33.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
33.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
33.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
33.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
33.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
32.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
32.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
32.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
32.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
32.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
32.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
32.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
32.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
32.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
32.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
32.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
32.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
32.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
32.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
32.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
32.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
32.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
32.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
31.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
31.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
31.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
31.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
31.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
31.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
31.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
31.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
31.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
31.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
31.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
31.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
31.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
31.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
31.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
31.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
30.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
30.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
30.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
30.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
30.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
30.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
30.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
30.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
30.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
30.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
30.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
30.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
30.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
30.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
30.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
30.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
30.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
30.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
30.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
30.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
30.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
30.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
30.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
29.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
29.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
29.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
29.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
29.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
29.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
29.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
29.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
29.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
29.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
29.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
29.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
29.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
29.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
29.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
29.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
28.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
28.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
28.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
28.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
28.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
28.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
28.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
28.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
28.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
28.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
28.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
28.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
27.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
27.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
27.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
27.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
27.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
27.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
27.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
27.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
27.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
27.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
27.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
27.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
27.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
27.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
26.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
26.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
26.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
26.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
26.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
26.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
26.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
26.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
26.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
26.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
26.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
26.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
26.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
26.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
25.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
25.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
25.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
25.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
25.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
25.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
25.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
25.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
25.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
25.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
25.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
25.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
24.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
24.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
24.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
24.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
24.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
24.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
24.6
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
24.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
24.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
24.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
24.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
24.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
24.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
23.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
23.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
23.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
23.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
23.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
23.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
23.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
23.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
23.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
23.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
22.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
22.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
22.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
22.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
22.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
22.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
22.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
22.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
22.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
22.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
22.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
22.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
22.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
21.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
21.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
21.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
21.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
21.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
21.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
21.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
21.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
21.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
21.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
21.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
20.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
20.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
20.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
20.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
20.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
20.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
20.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
20.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
20.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
20.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
20.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
20.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
19.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
19.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
18.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
18.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
18.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
18.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
17.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
17.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
17.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
17.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
17.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
17.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
15.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
15.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
15.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
14.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
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.
SELENOH 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
111.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
240.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
239.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
223.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
200.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
181.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
179.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
174.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
167.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
165.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
160.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
160.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
152.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
149.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
146.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
145.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
143.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
137.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
134.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
134.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
133.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
132.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
131.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
130.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
128.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
122.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
122.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
118.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
118.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
117.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
117.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
117.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
116.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
116.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
116.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
115.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
112.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
112.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
108.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
107.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
106.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
105.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
103.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
102.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
101.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
100.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
100.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
99.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
99.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
98.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
97.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
97.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
96.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
95.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
95.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
94.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
94.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
92.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
92.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
92.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
92.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
91.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
91.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
89.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
88.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
87.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
86.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
86.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
86.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
85.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
82.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
82.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
81.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
80.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
80.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
79.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
77.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
77.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
76.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
73.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
72.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
66.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
64.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
62.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
61.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
60.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
57.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SELENOH 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
28.8
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
57.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
54.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
52.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
47.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
46.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
46.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
45.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
44.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
44.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
43.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
43.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
41.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
41.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
41.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
40.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
40.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
40.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
39.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
38.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
38.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
38.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
38.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
37.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
37.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
37.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
37.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
36.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
36.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
36.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
36.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
36.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
35.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
35.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
35.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
35.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
35.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
35.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
35.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
34.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
34.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
34.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
34.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
33.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
33.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
33.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
33.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
33.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
32.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
32.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
32.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
32.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
32.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
31.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
31.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
31.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
31.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
31.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
31.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
31.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
30.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
30.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
29.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
29.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
29.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
28.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
28.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
28.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
28.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
28.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
27.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
27.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
27.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
27.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
27.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
27.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
26.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
26.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
26.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
26.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
26.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
26.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
26.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
26.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
26.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
26.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
26.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
25.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
25.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
25.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
25.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
25.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
25.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
25.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
25.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
25.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
24.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
24.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
24.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
24.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
24.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
24.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
23.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
23.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
23.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
23.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
22.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
22.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
22.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
22.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
22.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
22.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
22.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
22.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
22.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
22.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
22.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
22.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
22.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
21.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
21.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
21.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
21.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
21.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
21.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
21.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
21.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
21.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
21.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
20.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
20.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
20.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
19.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
19.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
19.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
19.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
19.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
18.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
18.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
18.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
18.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
18.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
18.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
18.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
17.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
17.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
17.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
17.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
17.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
17.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
17.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
17.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
17.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
16.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
15.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
15.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
15.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
15.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
14.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
14.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
14.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
14.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
13.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
13.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
12.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
12.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.9
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.8
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.7
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.6
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.9
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.5
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.