We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
SELENOF 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
144.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
358.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
327.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
319.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
296.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
254.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
249.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
242.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
234.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
230.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
226.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
225.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
221.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
220.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
220.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
219.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
218.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
216.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
216.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
215.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
213.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
208.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
207.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
206.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
204.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
202.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
201.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
193.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
192.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
191.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
190.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
189.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
189.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
185.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
184.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
184.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
184.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
183.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
183.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
181.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
180.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
179.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
178.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
177.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
177.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
177.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
177.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
176.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
175.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
175.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
172.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
172.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
171.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
171.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
171.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
171.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
170.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
170.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
169.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
168.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
168.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
168.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
167.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
167.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
167.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
167.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
165.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
165.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
165.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
164.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
164.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
164.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
164.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
162.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
162.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
162.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
162.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
162.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
161.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
161.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
161.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
160.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
160.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
159.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
157.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
156.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
156.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
156.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
155.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
155.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
154.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
154.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
154.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
154.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
154.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
153.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
152.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
152.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
150.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
150.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
150.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
150.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
149.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
148.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
148.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
148.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
148.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
148.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
148.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
147.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
147.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
146.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
146.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
146.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
146.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
145.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
145.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
145.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
144.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
144.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
144.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
143.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
143.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
143.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
143.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
142.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
142.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
142.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
141.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
141.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
140.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
140.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
140.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
139.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
139.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
138.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
138.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
138.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
138.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
138.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
137.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
137.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
137.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
136.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
134.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
134.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
133.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
133.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
133.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
133.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
132.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
132.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
131.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
131.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
130.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
130.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
129.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
129.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
129.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
128.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
128.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
128.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
127.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
126.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
126.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
126.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
125.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
125.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
125.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
123.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
123.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
123.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
122.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
122.7
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
122.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
122.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
122.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
121.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
120.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
120.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
120.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
120.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
120.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
119.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
118.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
117.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
117.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
116.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
116.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
114.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
114.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
114.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
113.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
112.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
111.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
110.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
110.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
110.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
110.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
109.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
109.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
109.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
108.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
107.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
107.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
105.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
105.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
104.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
104.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
104.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
103.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
102.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
102.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
102.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
101.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
101.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
101.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
101.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
100.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
99.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
99.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
98.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
98.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
95.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
95.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
94.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
94.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
94.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
92.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
91.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
90.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
90.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
90.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
88.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
88.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
86.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
86.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
86.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
84.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
84.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
83.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
83.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
82.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
79.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
79.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
79.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
76.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
75.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
74.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
73.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
67.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
67.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
62.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 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.
SELENOF 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
94.8
Number of samples
486
Samples
Sample
Description
TPM
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
216.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
190.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
161.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
160.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
155.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
154.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
153.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
152.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
152.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
151.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
150.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
150.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
146.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
145.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
145.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
141.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
141.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
141.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
140.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
138.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
135.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
134.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
133.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
133.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
133.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
132.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
131.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
131.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
131.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
130.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
130.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
130.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
129.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
128.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
128.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
128.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
128.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
127.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
127.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
127.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
127.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
127.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
126.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
126.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
126.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
126.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
124.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
124.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
123.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
123.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
123.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
122.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
121.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
121.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
121.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
120.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
120.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
120.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
120.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
120.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
119.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
118.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
118.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
118.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
118.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
118.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
118.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
117.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
117.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
117.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
117.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
117.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
116.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
116.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
116.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
116.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
116.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
115.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
115.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
115.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
115.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
115.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
115.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
114.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
114.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
114.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
114.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
113.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
112.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
112.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
112.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
112.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
112.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
112.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
111.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
111.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
111.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
111.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
111.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
111.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
111.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
111.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
110.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
110.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
110.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
110.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
109.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
109.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
109.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
109.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
109.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
109.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
109.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
109.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
108.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
108.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
108.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
108.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
108.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
108.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
108.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
108.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
108.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
107.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
107.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
107.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
107.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
107.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
107.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
107.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
107.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
106.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
106.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
106.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
106.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
106.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
106.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
106.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
106.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
106.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
106.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
106.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
105.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
105.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
105.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
105.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
105.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
105.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
104.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
104.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
104.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
104.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
104.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
104.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
104.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
104.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
104.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
104.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
103.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
103.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
103.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
103.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
103.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
103.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
103.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
103.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
103.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
103.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
102.8
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
102.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
102.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
102.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
102.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
102.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
102.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
102.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
102.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
102.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
101.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
101.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
101.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
101.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
101.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
100.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
100.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
100.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
100.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
100.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
100.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
100.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
100.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
100.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
99.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
99.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
99.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
99.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
99.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
99.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
98.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
98.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
98.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
98.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
98.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
98.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
98.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
98.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
98.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
98.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
97.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
97.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
97.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
97.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
97.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
97.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
97.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
96.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
96.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
96.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
96.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
95.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
95.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
95.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
95.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
95.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
95.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
95.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
95.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
94.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
94.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
94.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
94.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
94.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
94.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
94.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
93.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
93.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
93.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
93.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
93.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
93.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
93.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
93.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
93.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
92.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
92.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
92.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
92.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
92.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
92.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
92.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
91.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
91.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
91.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
91.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
91.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
90.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
90.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
90.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
90.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
90.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
90.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
90.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
90.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
90.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
89.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
89.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
89.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
89.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
89.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
89.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
89.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
88.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
88.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
88.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
88.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
88.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
88.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
88.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
88.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
88.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
88.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
88.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
88.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
88.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
88.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
87.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
87.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
87.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
87.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
87.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
87.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
87.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
87.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
87.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
87.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
87.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
86.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
86.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
86.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
86.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
86.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
86.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
85.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
85.7
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
85.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
85.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
85.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
85.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
85.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
85.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
85.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
85.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
85.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
85.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
85.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
84.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
84.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
84.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
84.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
84.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
84.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
84.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
84.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
84.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
84.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
84.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
83.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
83.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
83.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
83.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
83.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
83.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
83.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
83.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
83.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
83.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
83.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
82.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
82.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
82.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
82.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
82.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
82.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
81.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
81.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
81.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
81.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
81.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
81.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
81.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
81.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
81.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
81.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
81.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
80.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
80.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
80.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
80.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
80.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
80.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
79.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
79.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
79.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
79.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
79.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
79.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
79.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
79.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
79.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
79.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
79.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
78.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
78.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
78.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
78.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
78.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
78.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
78.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
77.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
77.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
77.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
77.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
77.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
77.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
77.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
77.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
77.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
77.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
76.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
76.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
76.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
75.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
75.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
75.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
75.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
75.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
75.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
74.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
74.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
74.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
74.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
74.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
74.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
74.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
73.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
73.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
73.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
73.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
73.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
72.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
72.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
72.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
72.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
72.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
71.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
71.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
71.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
71.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
71.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
71.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
71.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
71.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
71.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
71.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
71.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
71.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
70.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
70.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
70.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
70.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
69.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
69.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
69.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
68.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
68.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
68.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
68.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
68.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
67.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
66.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
66.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
66.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
66.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
65.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
65.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
64.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
64.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
64.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
64.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
64.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
64.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
62.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
61.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
61.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
61.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
60.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
60.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
59.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
57.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
57.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
56.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
56.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
55.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
55.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
52.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
51.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
50.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
44.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
40.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
38.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.5
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.
SELENOF 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
143.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
284.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
251.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
244.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
237.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
236.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
223.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
211.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
204.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
202.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
195.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
192.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
190.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
190.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
187.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
187.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
186.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
186.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
183.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
182.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
175.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
172.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
171.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
168.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
166.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
165.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
163.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
161.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
161.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
160.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
159.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
157.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
156.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
154.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
153.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
153.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
152.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
149.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
149.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
149.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
148.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
147.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
145.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
143.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
143.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
142.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
140.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
140.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
137.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
136.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
135.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
134.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
134.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
133.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
130.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
127.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
124.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
119.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
119.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
117.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
116.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
115.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
115.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
114.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
114.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
111.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
110.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
110.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
109.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
108.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
106.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
101.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
98.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
97.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
93.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
92.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
91.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
89.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
86.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
85.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
83.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
83.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
79.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
77.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
76.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
73.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
67.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
64.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SELENOF 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
81.6
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
162.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
155.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
130.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
129.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
128.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
127.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
126.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
124.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
123.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
120.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
119.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
115.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
115.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
114.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
114.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
111.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
110.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
110.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
109.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
109.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
108.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
107.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
107.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
107.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
106.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
106.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
105.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
104.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
104.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
104.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
103.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
102.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
102.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
101.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
101.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
99.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
99.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
98.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
98.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
98.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
98.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
97.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
97.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
96.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
96.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
95.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
95.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
95.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
95.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
94.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
94.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
94.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
93.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
93.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
93.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
93.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
93.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
91.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
90.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
90.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
90.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
90.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
89.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
89.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
89.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
89.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
89.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
89.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
88.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
88.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
88.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
88.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
88.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
87.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
87.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
86.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
86.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
85.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
85.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
85.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
85.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
85.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
85.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
84.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
84.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
84.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
83.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
83.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
83.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
82.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
82.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
82.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
82.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
81.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
81.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
81.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
81.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
80.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
80.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
80.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
79.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
79.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
78.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
78.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
78.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
78.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
78.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
78.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
78.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
78.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
78.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
78.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
78.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
77.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
77.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
77.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
77.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
76.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
75.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
75.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
75.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
75.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
75.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
74.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
74.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
74.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
73.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
73.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
73.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
73.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
72.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
72.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
72.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
72.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
72.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
72.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
71.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
70.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
70.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
70.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
70.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
69.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
69.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
69.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
69.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
68.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
68.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
68.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
68.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
68.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
68.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
67.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
67.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
67.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
67.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
66.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
66.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
65.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
65.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
65.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
64.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
64.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
64.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
64.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
64.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
64.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
63.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
63.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
62.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
62.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
62.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
62.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
62.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
62.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
61.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
61.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
61.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
60.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
59.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
57.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
57.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
56.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
55.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
53.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
53.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
53.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
53.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
52.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
50.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
48.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
48.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
47.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
45.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
42.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
33.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
14.2
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.9
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.