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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SELENOP 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
128.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1674.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
966.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
939.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
915.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
769.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
680.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
551.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
514.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
514.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
513.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
443.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
438.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
424.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
400.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
363.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
338.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
335.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
315.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
307.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
299.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
297.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
289.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
284.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
281.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
276.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
264.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
248.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
245.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
243.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
239.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
236.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
235.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
233.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
232.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
231.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
231.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
231.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
229.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
224.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
219.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
218.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
209.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
208.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
208.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
203.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
191.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
189.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
184.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
183.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
178.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
176.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
175.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
172.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
170.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
163.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
163.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
155.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
155.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
153.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
152.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
149.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
149.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
148.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
146.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
143.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
141.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
137.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
136.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
136.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
134.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
133.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
132.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
132.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
132.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
130.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
129.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
129.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
127.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
126.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
125.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
125.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
121.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
118.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
118.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
117.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
116.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
115.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
114.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
113.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
112.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
110.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
110.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
106.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
105.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
104.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
104.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
102.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
102.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
101.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
101.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
100.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
99.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
98.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
98.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
97.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
97.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
96.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
95.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
95.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
95.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
94.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
93.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
93.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
92.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
91.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
88.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
87.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
87.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
86.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
86.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
84.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
83.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
83.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
82.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
82.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
81.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
80.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
79.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
76.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
76.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
75.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
75.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
75.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
74.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
74.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
73.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
72.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
71.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
70.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
70.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
69.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
69.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
69.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
68.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
68.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
66.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
66.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
65.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
65.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
64.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
61.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
59.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
58.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
58.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
58.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
56.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
56.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
56.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
55.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
54.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
53.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
52.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
51.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
51.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
50.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
50.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
49.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
48.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
48.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
47.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
47.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
47.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
46.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
46.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
42.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
41.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
41.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
40.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
40.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
39.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
38.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
38.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
38.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
37.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
36.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
34.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
34.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
33.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
33.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
33.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
32.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
32.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
32.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
31.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
30.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
30.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
30.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
30.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
30.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
29.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
28.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
28.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
27.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
25.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
25.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
22.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
22.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
22.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
22.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
22.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
21.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
21.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
21.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
20.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
18.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
18.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
17.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
17.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
17.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
17.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
16.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
16.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
16.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
15.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
15.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
14.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
13.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
11.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
10.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
10.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
9.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
7.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
7.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
6.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
5.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 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.
SELENOP 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
127.9
Number of samples
486
Samples
Sample
Description
TPM
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
727.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
607.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
527.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
515.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
501.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
499.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
480.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
467.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
443.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
433.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
423.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
420.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
420.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
407.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
405.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
399.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
395.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
395.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
376.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
368.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
365.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
351.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
335.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
333.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
329.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
329.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
322.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
320.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
318.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
307.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
305.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
300.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
297.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
295.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
281.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
280.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
280.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
274.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
270.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
269.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
266.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
260.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
260.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
259.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
254.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
254.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
253.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
253.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
246.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
244.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
242.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
240.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
239.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
238.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
234.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
232.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
230.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
227.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
226.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
225.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
222.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
221.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
220.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
219.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
216.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
216.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
214.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
214.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
212.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
212.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
211.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
210.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
210.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
210.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
209.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
209.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
207.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
207.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
206.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
205.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
205.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
201.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
200.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
200.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
199.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
198.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
196.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
193.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
191.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
190.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
187.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
187.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
187.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
183.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
182.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
181.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
181.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
180.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
180.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
180.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
180.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
179.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
178.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
177.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
176.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
176.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
176.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
175.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
175.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
174.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
174.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
170.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
168.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
168.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
168.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
168.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
165.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
164.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
163.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
161.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
161.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
160.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
160.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
159.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
158.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
158.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
157.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
157.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
157.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
156.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
156.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
154.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
154.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
153.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
151.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
151.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
150.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
150.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
148.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
148.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
148.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
147.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
146.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
146.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
146.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
145.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
145.2
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
145.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
145.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
145.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
144.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
144.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
144.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
144.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
143.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
143.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
143.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
140.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
140.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
140.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
138.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
137.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
136.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
136.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
135.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
135.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
135.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
135.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
134.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
134.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
134.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
133.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
132.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
130.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
130.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
130.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
130.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
129.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
129.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
129.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
129.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
128.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
128.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
128.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
127.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
127.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
127.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
127.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
127.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
126.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
126.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
125.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
125.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
125.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
124.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
124.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
124.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
123.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
123.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
123.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
122.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
121.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
120.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
120.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
120.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
119.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
118.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
118.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
117.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
117.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
117.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
116.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
116.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
115.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
115.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
115.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
115.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
114.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
114.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
114.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
113.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
113.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
112.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
111.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
110.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
109.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
108.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
108.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
108.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
108.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
108.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
108.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
108.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
107.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
107.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
106.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
106.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
105.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
104.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
103.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
103.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
103.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
102.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
102.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
102.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
102.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
101.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
101.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
101.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
100.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
100.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
100.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
100.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
99.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
99.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
99.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
98.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
98.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
98.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
97.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
97.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
97.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
97.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
97.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
96.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
96.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
95.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
95.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
95.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
95.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
95.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
95.2
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
93.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
93.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
93.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
92.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
91.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
91.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
91.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
90.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
90.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
89.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
89.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
88.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
88.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
88.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
87.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
86.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
86.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
86.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
86.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
85.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
85.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
84.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
84.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
84.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
83.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
83.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
83.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
83.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
82.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
82.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
82.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
81.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
81.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
80.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
80.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
80.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
80.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
80.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
79.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
79.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
79.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
78.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
77.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
77.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
76.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
75.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
75.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
75.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
75.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
75.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
75.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
74.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
74.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
74.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
74.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
74.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
73.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
73.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
73.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
73.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
73.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
71.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
71.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
71.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
70.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
69.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
69.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
68.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
68.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
66.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
66.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
66.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
66.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
65.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
64.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
64.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
64.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
64.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
64.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
63.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
63.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
63.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
63.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
63.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
62.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
62.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
61.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
61.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
61.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
61.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
60.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
60.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
58.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
58.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
58.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
57.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
57.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
56.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
55.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
54.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
54.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
53.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
53.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
51.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
51.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
50.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
50.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
50.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
50.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
49.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
49.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
48.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
48.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
48.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
47.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
47.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
47.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
46.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
46.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
46.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
46.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
46.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
45.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
45.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
45.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
44.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
42.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
42.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
41.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
40.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
39.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
39.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
39.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
38.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
37.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
36.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
34.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
32.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
32.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
32.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
32.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
32.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
31.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
31.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
31.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
31.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
30.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
29.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
28.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
27.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
27.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
27.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
25.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
25.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
25.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
25.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
25.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
25.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
24.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
23.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
23.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
23.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
22.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
20.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
20.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
20.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
19.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
19.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
19.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
17.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
17.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
16.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
16.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
16.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
15.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
14.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
14.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
14.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
13.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
13.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
12.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
12.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
12.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
10.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
8.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
7.9
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.
SELENOP 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
182.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1011.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
993.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
772.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
693.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
466.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
455.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
399.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
397.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
390.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
357.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
350.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
342.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
340.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
318.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
291.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
281.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
274.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
262.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
251.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
246.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
244.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
231.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
223.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
219.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
215.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
212.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
210.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
210.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
208.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
205.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
204.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
201.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
201.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
199.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
190.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
158.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
151.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
146.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
143.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
142.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
141.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
141.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
132.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
128.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
124.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
123.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
120.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
119.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
117.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
113.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
109.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
108.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
104.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
96.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
95.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
91.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
89.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
78.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
73.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
69.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
68.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
67.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
66.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
64.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
63.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
62.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
57.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
56.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
51.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
50.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
49.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
47.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
45.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
33.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
30.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
26.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
25.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
22.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
22.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
21.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
18.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
17.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
17.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
9.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SELENOP 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
146.5
Number of samples
207
Samples
Sample
Description
TPM
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
372.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
367.0
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
366.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
350.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
350.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
341.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
336.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
323.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
319.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
319.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
315.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
314.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
311.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
296.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
286.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
286.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
278.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
274.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
269.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
254.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
253.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
250.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
249.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
247.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
245.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
244.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
241.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
241.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
240.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
238.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
238.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
236.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
235.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
233.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
233.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
232.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
232.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
227.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
226.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
225.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
221.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
219.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
219.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
218.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
216.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
215.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
214.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
213.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
213.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
213.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
207.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
207.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
204.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
204.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
202.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
197.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
195.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
195.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
193.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
189.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
189.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
188.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
187.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
186.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
186.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
186.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
184.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
183.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
182.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
182.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
180.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
179.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
178.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
177.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
176.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
176.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
175.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
175.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
174.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
174.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
172.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
171.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
166.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
166.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
165.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
164.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
164.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
162.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
157.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
155.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
154.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
148.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
145.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
144.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
144.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
142.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
141.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
140.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
139.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
138.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
137.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
137.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
137.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
136.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
135.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
129.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
129.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
127.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
126.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
125.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
122.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
119.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
119.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
118.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
117.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
116.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
116.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
116.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
116.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
114.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
113.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
113.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
113.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
111.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
110.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
110.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
110.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
109.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
108.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
107.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
106.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
104.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
102.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
101.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
101.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
99.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
97.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
95.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
95.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
92.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
92.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
90.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
88.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
85.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
84.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
84.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
82.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
81.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
80.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
80.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
78.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
77.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
77.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
76.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
76.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
76.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
76.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
74.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
73.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
71.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
71.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
71.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
71.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
68.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
68.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
65.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
65.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
61.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
61.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
59.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
58.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
57.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
55.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
54.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
52.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
49.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
48.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
48.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
46.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
44.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
43.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
38.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
36.7
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
36.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
35.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
33.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
31.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
30.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
29.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
29.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
27.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
25.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
24.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
19.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
19.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
16.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
1.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
1.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
1.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.0
82157a70-12f1-4913-b548-d98881_D2
Normal
1.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.9
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.8
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.7
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.8
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
