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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.
CORO1B 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
96.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
183.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
182.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
180.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
170.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
164.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
162.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
161.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
158.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
152.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
151.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
150.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
149.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
148.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
146.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
141.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
140.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
140.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
139.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
137.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
137.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
137.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
136.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
135.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
135.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
134.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
133.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
132.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
131.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
131.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
129.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
128.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
127.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
126.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
125.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
125.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
124.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
124.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
124.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
124.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
122.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
122.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
122.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
121.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
121.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
121.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
120.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
120.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
120.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
120.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
119.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
119.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
119.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
119.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
119.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
118.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
118.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
118.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
117.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
117.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
117.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
117.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
117.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
116.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
115.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
114.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
113.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
112.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
112.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
112.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
111.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
111.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
111.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
110.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
110.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
110.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
109.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
109.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
108.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
108.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
108.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
108.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
108.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
108.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
108.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
107.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
107.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
107.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
106.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
106.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
106.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
105.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
105.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
105.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
105.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
104.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
104.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
104.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
103.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
103.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
103.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
102.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
102.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
102.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
101.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
101.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
101.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
101.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
101.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
101.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
100.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
100.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
100.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
100.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
100.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
99.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
99.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
99.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
99.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
99.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
98.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
98.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
97.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
97.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
97.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
97.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
96.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
96.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
96.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
95.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
95.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
95.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
95.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
94.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
94.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
93.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
93.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
92.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
92.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
92.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
92.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
92.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
91.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
91.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
91.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
91.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
90.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
90.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
90.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
88.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
87.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
86.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
86.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
86.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
86.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
86.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
86.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
85.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
85.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
84.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
84.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
84.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
83.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
83.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
83.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
83.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
83.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
83.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
81.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
81.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
81.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
81.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
81.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
80.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
80.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
80.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
80.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
79.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
79.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
79.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
79.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
78.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
78.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
77.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
77.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
77.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
77.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
76.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
76.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
76.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
76.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
76.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
76.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
75.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
75.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
74.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
74.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
74.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
74.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
74.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
73.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
73.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
73.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
73.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
72.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
72.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
72.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
72.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
71.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
71.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
71.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
70.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
68.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
68.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
68.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
67.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
67.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
65.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
65.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
65.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
63.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
62.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
62.5
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
62.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
61.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
61.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
61.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
60.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
60.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
59.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
59.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
58.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
58.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
57.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
57.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
57.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
56.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
56.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
54.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
53.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
51.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
51.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
51.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
50.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
47.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
43.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
40.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
35.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
30.9
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.
CORO1B 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
56.4
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
129.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
100.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
98.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
97.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
96.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
95.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
93.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
92.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
91.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
90.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
90.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
89.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
89.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
89.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
89.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
88.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
87.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
87.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
87.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
86.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
85.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
85.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
84.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
84.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
83.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
83.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
83.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
82.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
82.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
82.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
81.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
81.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
81.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
80.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
80.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
80.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
80.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
80.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
80.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
80.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
79.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
79.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
79.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
79.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
79.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
79.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
78.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
78.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
78.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
78.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
77.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
77.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
77.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
77.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
76.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
76.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
76.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
76.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
76.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
76.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
76.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
76.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
76.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
76.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
76.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
75.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
75.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
75.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
75.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
74.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
74.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
74.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
74.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
74.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
73.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
73.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
73.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
72.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
72.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
72.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
72.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
72.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
72.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
71.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
71.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
71.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
71.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
71.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
71.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
71.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
71.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
70.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
70.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
70.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
70.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
70.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
70.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
70.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
70.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
70.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
69.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
69.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
69.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
69.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
69.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
69.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
69.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
69.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
69.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
69.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
68.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
68.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
68.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
68.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
67.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
67.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
67.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
67.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
67.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
66.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
66.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
66.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
66.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
66.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
65.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
65.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
65.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
65.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
65.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
65.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
65.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
65.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
65.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
65.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
64.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
64.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
64.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
64.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
64.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
64.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
64.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
64.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
64.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
63.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
63.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
63.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
63.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
63.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
63.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
62.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
62.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
62.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
62.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
62.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
62.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
61.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
61.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
61.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
61.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
61.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
61.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
61.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
61.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
61.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
61.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
61.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
60.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
60.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
60.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
60.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
60.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
59.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
59.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
59.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
59.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
59.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
59.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
59.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
59.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
59.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
58.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
58.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
58.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
58.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
58.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
58.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
58.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
58.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
58.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
58.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
57.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
57.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
57.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
57.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
57.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
57.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
57.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
57.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
57.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
56.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
56.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
56.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
56.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
56.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
56.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
56.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
55.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
55.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
55.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
55.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
55.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
55.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
54.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
54.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
54.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
54.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
54.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
54.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
54.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
54.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
54.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
54.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
54.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
54.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
53.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
53.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
53.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
53.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
53.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
53.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
53.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
53.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
53.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
53.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
53.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
53.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
53.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
52.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
52.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
52.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
52.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
52.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
52.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
52.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
52.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
52.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
52.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
51.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
51.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
51.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
51.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
51.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
51.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
51.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
51.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
51.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
51.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
51.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
50.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
50.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
50.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
50.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
50.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
50.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
49.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
49.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
49.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
49.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
49.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
49.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
49.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
49.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
49.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
49.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
49.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
48.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
48.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
48.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
48.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
48.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
48.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
48.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
47.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
47.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
47.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
47.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
47.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
47.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
47.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
47.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
47.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
47.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
46.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
46.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
46.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
46.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
46.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
46.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
45.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
45.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
45.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
45.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
45.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
45.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
45.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
45.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
45.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
45.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
44.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
44.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
44.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
44.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
44.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
44.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
44.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
44.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
44.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
44.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
43.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
43.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
43.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
43.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
43.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
43.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
43.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
43.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
43.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
43.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
43.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
43.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
43.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
43.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
43.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
43.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
42.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
42.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
42.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
42.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
42.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
42.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
41.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
41.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
41.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
41.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
41.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
41.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
40.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
40.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
40.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
40.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
40.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
40.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
40.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
40.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
40.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
40.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
40.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
40.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
40.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
40.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
39.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
39.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
39.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
39.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
39.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
39.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
39.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
39.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
38.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
38.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
38.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
38.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
38.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
37.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
37.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
37.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
37.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
37.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
36.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
36.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
36.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
36.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
36.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
36.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
36.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
36.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
35.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
35.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
35.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
34.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
34.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
34.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
34.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
34.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
34.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
33.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
33.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
33.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
33.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
33.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
32.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
31.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
29.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
28.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
28.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
28.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
28.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
25.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
15.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
CORO1B 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
92.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
234.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
158.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
156.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
150.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
149.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
145.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
144.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
142.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
139.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
137.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
134.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
130.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
123.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
123.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
121.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
118.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
118.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
113.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
112.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
112.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
111.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
111.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
109.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
109.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
108.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
107.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
105.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
104.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
103.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
100.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
100.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
100.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
99.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
99.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
98.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
95.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
95.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
95.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
94.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
92.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
92.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
91.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
91.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
90.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
89.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
88.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
88.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
88.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
87.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
85.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
85.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
84.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
83.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
82.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
81.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
81.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
81.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
78.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
77.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
76.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
76.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
74.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
74.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
73.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
73.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
71.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
70.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
69.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
68.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
67.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
66.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
60.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
60.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
60.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
59.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
59.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
54.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
46.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
46.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
46.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
42.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
39.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
37.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
35.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
35.2
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.
CORO1B 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
49.5
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
125.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
93.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
91.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
84.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
83.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
82.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
82.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
82.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
79.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
79.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
78.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
77.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
76.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
75.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
74.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
74.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
73.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
71.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
70.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
70.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
69.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
69.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
67.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
67.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
67.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
66.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
66.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
66.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
66.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
66.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
66.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
65.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
65.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
65.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
64.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
63.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
63.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
63.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
62.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
62.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
62.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
61.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
60.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
60.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
59.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
59.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
59.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
58.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
58.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
58.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
58.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
57.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
57.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
57.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
56.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
56.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
56.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
55.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
54.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
54.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
54.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
54.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
53.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
53.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
53.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
53.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
52.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
52.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
52.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
52.5
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
52.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
52.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
52.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
51.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
51.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
51.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
50.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
50.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
50.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
49.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
49.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
48.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
48.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
48.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
48.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
47.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
47.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
46.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
45.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
45.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
45.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
44.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
44.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
44.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
43.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
43.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
42.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
42.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
42.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
42.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
41.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
41.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
40.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
40.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
40.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
39.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
38.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
38.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
38.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
38.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
37.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
36.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
36.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
36.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
36.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
36.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
35.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
35.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
34.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
34.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
34.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
34.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
33.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
33.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
33.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
33.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
33.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
32.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
32.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
31.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
31.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
31.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
30.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
30.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
29.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
28.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
28.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
28.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
27.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
26.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
26.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
25.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
24.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
23.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
23.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
20.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
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Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
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Normal
0.2
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Normal
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
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Normal
0.2
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Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.1
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Normal
0.1
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Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.1
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Tumor
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Tumor
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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Tumor
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Normal
-0.2
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Tumor
-0.2
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Tumor
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Tumor
-0.2
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Tumor
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
