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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.
EFHD2 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
104.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
255.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
230.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
226.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
224.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
220.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
218.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
199.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
192.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
188.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
186.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
186.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
182.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
179.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
179.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
167.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
166.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
165.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
165.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
165.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
165.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
162.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
157.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
151.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
149.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
147.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
147.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
146.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
144.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
144.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
141.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
141.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
141.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
140.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
138.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
137.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
137.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
137.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
136.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
136.6
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
135.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
134.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
133.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
133.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
132.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
132.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
131.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
130.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
130.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
129.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
129.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
129.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
129.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
129.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
128.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
128.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
128.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
127.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
127.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
127.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
126.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
125.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
125.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
125.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
125.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
124.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
123.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
123.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
123.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
123.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
122.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
122.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
122.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
121.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
120.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
120.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
119.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
119.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
119.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
118.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
118.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
118.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
118.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
118.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
117.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
117.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
116.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
116.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
116.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
115.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
115.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
115.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
115.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
115.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
115.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
115.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
113.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
112.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
112.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
112.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
111.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
111.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
111.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
110.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
109.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
109.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
108.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
108.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
108.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
108.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
106.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
106.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
106.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
105.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
105.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
105.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
105.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
104.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
104.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
104.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
103.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
103.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
103.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
101.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
101.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
100.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
100.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
100.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
100.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
99.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
99.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
99.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
99.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
98.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
98.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
98.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
97.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
97.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
96.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
96.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
96.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
95.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
95.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
94.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
94.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
93.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
93.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
93.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
93.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
92.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
92.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
92.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
92.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
91.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
91.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
90.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
90.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
90.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
90.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
89.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
89.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
89.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
88.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
88.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
88.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
87.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
86.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
86.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
85.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
85.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
84.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
84.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
83.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
83.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
83.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
82.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
82.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
81.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
81.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
81.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
80.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
80.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
79.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
79.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
79.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
79.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
78.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
78.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
78.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
77.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
77.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
76.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
76.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
76.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
75.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
75.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
75.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
75.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
74.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
74.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
74.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
74.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
73.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
73.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
72.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
72.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
72.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
72.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
72.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
71.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
70.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
69.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
69.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
69.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
69.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
68.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
68.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
68.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
67.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
67.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
67.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
67.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
66.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
66.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
66.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
65.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
64.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
63.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
63.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
62.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
62.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
61.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
60.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
59.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
58.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
58.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
56.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
56.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
56.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
56.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
55.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
54.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
53.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
51.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
50.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
48.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
46.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
46.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
44.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
44.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
42.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
36.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
34.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EFHD2 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
79.8
Number of samples
486
Samples
Sample
Description
TPM
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
170.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
159.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
154.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
146.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
145.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
143.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
139.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
138.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
130.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
129.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
128.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
128.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
127.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
127.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
126.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
125.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
125.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
123.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
122.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
121.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
120.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
120.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
120.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
119.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
119.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
119.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
119.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
118.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
117.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
117.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
116.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
116.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
115.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
114.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
113.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
113.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
112.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
112.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
112.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
111.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
111.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
110.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
110.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
110.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
109.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
109.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
109.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
109.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
109.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
108.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
108.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
108.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
107.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
107.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
107.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
107.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
107.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
107.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
107.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
106.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
106.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
106.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
106.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
106.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
106.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
105.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
105.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
105.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
105.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
105.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
105.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
105.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
105.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
104.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
104.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
103.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
103.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
103.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
103.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
103.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
103.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
102.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
102.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
102.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
102.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
102.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
102.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
102.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
102.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
101.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
101.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
101.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
101.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
101.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
100.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
99.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
99.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
99.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
99.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
99.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
99.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
98.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
98.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
97.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
97.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
97.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
97.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
97.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
97.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
97.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
97.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
96.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
96.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
96.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
96.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
96.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
95.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
95.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
95.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
95.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
95.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
94.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
94.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
94.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
93.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
93.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
93.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
92.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
92.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
92.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
92.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
92.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
91.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
91.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
91.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
91.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
90.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
90.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
90.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
90.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
90.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
90.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
90.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
90.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
89.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
89.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
89.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
89.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
89.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
89.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
89.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
88.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
88.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
88.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
88.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
88.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
88.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
88.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
88.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
88.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
88.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
87.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
87.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
87.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
87.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
87.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
87.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
87.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
87.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
86.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
86.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
86.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
86.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
86.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
86.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
86.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
85.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
85.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
85.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
85.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
85.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
85.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
85.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
85.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
84.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
84.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
84.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
84.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
84.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
83.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
83.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
83.7
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
83.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
83.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
83.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
83.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
83.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
83.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
83.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
83.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
83.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
83.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
83.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
83.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
83.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
82.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
82.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
82.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
82.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
82.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
82.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
82.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
82.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
82.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
81.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
81.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
81.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
81.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
81.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
80.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
80.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
80.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
80.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
80.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
80.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
80.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
80.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
80.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
79.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
79.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
79.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
79.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
79.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
79.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
79.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
79.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
79.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
79.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
78.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
78.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
78.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
78.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
78.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
77.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
77.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
77.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
77.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
77.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
76.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
76.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
76.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
76.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
76.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
76.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
76.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
76.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
75.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
75.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
75.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
75.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
75.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
75.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
75.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
75.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
75.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
75.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
74.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
74.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
74.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
74.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
74.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
74.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
74.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
74.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
74.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
74.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
73.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
73.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
73.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
73.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
73.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
73.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
73.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
72.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
72.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
72.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
72.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
72.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
72.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
71.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
71.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
71.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
71.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
70.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
70.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
70.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
70.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
70.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
70.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
70.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
69.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
69.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
69.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
69.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
69.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
69.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
69.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
69.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
69.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
69.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
69.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
69.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
69.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
69.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
68.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
68.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
68.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
68.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
68.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
68.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
68.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
68.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
68.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
67.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
67.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
67.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
67.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
67.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
67.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
67.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
67.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
67.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
66.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
66.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
66.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
66.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
66.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
66.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
66.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
66.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
66.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
66.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
66.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
65.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
65.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
65.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
65.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
65.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
64.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
64.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
64.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
64.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
64.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
64.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
64.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
64.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
63.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
63.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
63.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
63.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
63.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
63.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
63.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
61.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
61.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
61.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
61.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
61.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
60.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
60.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
60.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
60.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
60.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
60.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
60.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
60.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
59.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
59.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
59.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
59.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
59.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
59.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
59.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
58.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
58.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
58.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
58.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
58.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
58.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
57.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
57.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
57.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
57.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
57.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
56.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
56.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
56.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
55.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
55.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
55.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
55.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
55.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
55.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
55.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
55.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
55.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
54.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
54.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
54.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
54.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
54.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
53.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
53.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
53.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
53.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
52.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
52.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
52.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
52.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
52.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
51.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
51.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
50.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
50.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
50.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
50.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
50.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
49.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
49.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
49.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
49.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
49.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
48.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
48.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
48.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
48.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
48.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
47.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
46.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
46.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
45.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
45.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
44.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
44.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
43.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
43.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
42.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
41.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
33.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
32.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
31.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
29.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
EFHD2 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
97.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
205.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
202.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
195.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
164.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
160.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
150.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
143.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
140.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
138.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
137.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
134.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
132.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
131.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
128.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
128.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
125.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
123.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
123.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
122.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
121.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
120.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
116.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
114.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
114.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
113.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
111.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
110.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
110.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
109.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
109.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
109.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
108.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
108.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
108.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
107.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
105.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
100.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
99.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
98.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
98.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
97.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
94.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
94.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
93.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
91.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
91.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
90.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
87.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
87.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
86.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
86.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
85.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
84.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
84.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
83.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
83.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
83.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
83.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
81.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
81.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
80.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
80.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
76.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
76.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
76.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
75.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
73.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
73.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
69.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
69.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
66.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
65.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
64.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
62.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
61.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
60.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
59.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
56.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
55.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
54.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
54.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
47.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
47.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
42.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
EFHD2 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
74.2
Number of samples
207
Samples
Sample
Description
TPM
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
181.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
141.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
131.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
125.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
125.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
122.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
116.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
115.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
113.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
112.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
111.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
111.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
108.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
106.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
104.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
104.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
104.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
103.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
103.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
103.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
102.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
101.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
100.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
100.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
99.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
98.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
98.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
96.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
96.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
96.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
96.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
96.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
96.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
95.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
95.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
94.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
94.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
93.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
93.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
90.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
89.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
88.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
88.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
87.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
87.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
87.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
87.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
87.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
87.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
87.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
87.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
87.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
86.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
86.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
84.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
84.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
84.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
84.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
83.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
83.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
83.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
83.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
83.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
83.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
83.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
83.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
82.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
82.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
81.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
81.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
81.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
80.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
80.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
79.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
79.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
78.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
78.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
78.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
77.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
77.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
76.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
76.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
75.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
75.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
74.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
74.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
74.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
74.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
74.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
74.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
74.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
73.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
73.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
73.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
73.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
73.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
73.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
73.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
73.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
72.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
72.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
72.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
71.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
71.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
71.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
71.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
71.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
71.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
70.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
70.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
69.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
69.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
69.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
69.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
69.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
69.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
68.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
68.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
68.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
68.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
67.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
67.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
66.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
66.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
66.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
66.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
66.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
66.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
65.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
65.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
64.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
63.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
63.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
63.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
63.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
63.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
63.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
63.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
62.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
62.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
62.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
62.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
61.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
61.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
61.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
60.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
60.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
60.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
59.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
59.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
59.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
59.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
58.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
58.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
58.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
57.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
57.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
55.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
55.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
55.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
54.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
54.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
53.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
52.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
51.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
51.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
51.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
49.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
49.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
49.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
49.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
49.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
49.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
49.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
48.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
48.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
47.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
47.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
46.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
44.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
44.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
43.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
40.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
40.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
39.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
37.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
37.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
32.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
17.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.3
8cc7e656-0152-4359-8566-0581c3
Tumor
1.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.0
b2400046-1d25-429d-a821-6040a6
Tumor
1.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.9
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.9
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.9
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.8
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.8
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.8
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.8
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.9
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.9
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.4
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.