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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.
IDH1 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
105.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
386.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
261.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
240.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
218.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
202.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
194.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
190.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
190.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
188.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
187.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
186.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
181.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
176.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
175.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
174.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
172.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
172.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
171.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
169.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
168.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
166.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
166.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
163.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
163.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
160.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
157.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
157.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
154.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
153.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
151.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
150.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
149.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
149.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
149.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
148.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
148.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
147.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
145.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
145.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
145.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
144.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
144.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
142.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
140.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
140.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
140.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
139.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
137.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
136.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
135.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
131.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
131.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
131.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
130.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
129.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
128.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
128.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
128.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
128.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
128.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
126.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
126.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
125.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
124.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
122.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
122.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
121.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
121.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
120.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
120.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
120.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
120.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
120.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
120.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
120.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
119.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
118.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
118.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
117.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
117.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
117.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
116.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
116.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
115.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
115.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
113.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
113.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
113.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
112.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
111.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
110.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
109.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
109.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
109.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
109.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
109.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
108.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
108.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
107.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
107.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
106.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
105.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
105.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
104.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
104.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
103.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
103.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
102.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
102.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
102.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
102.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
102.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
100.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
100.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
100.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
100.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
100.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
100.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
100.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
100.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
99.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
99.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
98.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
98.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
98.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
98.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
97.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
97.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
96.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
96.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
96.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
95.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
95.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
95.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
95.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
94.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
94.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
94.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
94.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
94.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
93.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
93.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
93.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
92.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
92.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
91.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
91.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
91.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
90.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
90.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
90.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
89.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
89.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
89.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
89.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
88.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
88.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
88.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
87.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
87.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
86.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
86.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
86.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
85.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
85.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
85.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
84.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
84.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
83.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
83.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
83.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
83.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
82.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
82.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
81.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
81.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
81.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
80.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
80.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
80.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
79.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
78.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
78.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
77.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
77.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
75.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
75.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
75.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
75.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
75.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
75.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
74.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
73.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
73.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
73.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
73.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
73.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
73.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
73.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
72.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
72.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
72.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
71.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
71.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
70.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
70.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
70.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
69.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
69.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
68.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
68.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
68.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
68.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
67.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
67.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
66.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
66.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
66.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
65.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
65.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
65.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
65.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
64.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
64.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
63.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
63.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
63.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
62.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
62.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
61.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
61.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
60.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
59.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
59.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
58.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
56.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
56.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
55.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
55.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
55.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
55.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
54.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
54.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
53.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
50.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
46.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
43.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
42.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
34.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
IDH1 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
88.5
Number of samples
486
Samples
Sample
Description
TPM
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
429.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
206.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
183.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
178.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
178.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
175.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
171.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
168.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
168.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
164.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
163.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
161.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
155.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
153.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
152.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
149.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
148.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
148.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
148.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
147.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
146.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
145.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
145.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
144.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
144.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
144.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
140.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
139.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
137.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
137.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
136.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
136.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
136.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
133.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
133.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
133.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
133.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
132.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
131.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
131.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
130.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
129.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
129.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
129.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
128.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
128.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
127.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
127.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
127.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
127.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
125.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
124.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
124.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
123.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
123.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
123.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
122.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
122.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
122.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
122.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
121.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
121.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
121.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
121.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
121.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
120.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
120.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
120.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
120.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
120.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
119.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
118.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
118.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
118.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
117.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
116.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
116.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
116.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
115.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
115.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
115.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
115.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
115.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
115.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
114.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
114.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
114.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
114.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
114.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
114.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
113.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
113.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
113.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
113.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
113.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
112.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
112.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
112.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
112.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
112.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
112.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
111.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
111.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
111.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
111.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
110.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
110.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
110.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
110.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
109.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
109.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
109.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
109.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
109.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
108.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
108.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
108.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
107.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
107.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
106.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
106.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
106.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
106.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
105.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
105.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
105.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
105.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
105.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
104.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
104.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
104.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
104.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
103.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
103.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
103.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
103.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
102.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
101.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
101.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
101.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
101.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
101.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
100.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
100.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
100.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
99.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
99.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
99.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
99.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
98.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
98.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
98.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
98.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
98.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
98.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
97.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
96.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
96.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
96.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
95.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
95.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
94.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
94.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
94.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
94.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
93.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
93.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
93.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
93.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
93.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
93.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
92.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
92.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
92.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
92.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
92.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
92.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
91.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
91.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
91.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
91.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
91.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
91.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
91.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
90.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
90.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
90.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
90.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
90.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
90.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
90.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
90.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
90.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
90.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
89.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
89.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
89.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
89.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
89.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
88.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
88.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
88.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
88.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
88.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
88.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
88.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
87.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
87.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
87.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
87.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
87.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
86.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
86.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
86.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
86.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
86.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
86.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
86.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
86.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
86.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
86.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
85.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
85.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
85.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
85.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
85.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
85.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
85.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
85.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
85.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
84.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
84.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
84.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
84.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
84.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
84.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
84.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
84.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
84.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
83.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
83.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
83.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
83.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
83.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
83.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
83.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
83.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
83.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
82.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
82.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
82.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
82.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
81.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
81.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
81.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
81.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
81.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
80.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
80.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
80.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
80.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
80.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
80.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
80.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
80.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
80.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
79.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
79.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
79.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
79.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
79.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
79.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
79.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
79.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
78.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
78.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
78.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
78.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
78.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
78.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
78.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
78.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
77.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
77.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
77.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
77.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
77.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
77.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
77.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
77.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
77.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
77.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
77.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
77.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
76.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
76.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
76.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
76.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
76.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
76.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
76.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
76.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
76.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
76.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
76.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
75.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
75.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
75.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
75.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
74.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
74.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
74.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
74.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
74.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
74.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
74.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
74.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
74.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
73.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
73.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
73.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
73.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
73.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
73.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
73.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
73.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
72.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
72.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
72.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
72.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
72.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
72.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
72.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
71.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
71.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
71.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
70.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
70.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
70.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
70.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
70.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
70.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
70.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
70.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
69.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
69.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
69.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
69.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
69.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
68.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
68.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
68.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
68.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
68.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
68.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
68.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
68.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
68.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
68.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
68.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
67.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
67.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
67.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
67.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
67.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
67.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
67.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
66.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
66.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
66.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
66.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
66.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
66.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
66.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
66.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
66.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
66.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
66.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
65.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
65.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
65.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
64.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
64.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
64.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
64.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
63.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
63.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
63.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
62.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
62.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
62.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
62.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
61.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
61.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
61.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
61.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
61.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
61.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
61.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
61.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
61.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
60.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
60.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
60.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
60.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
60.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
59.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
59.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
59.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
58.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
58.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
58.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
58.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
58.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
58.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
58.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
57.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
57.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
57.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
57.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
57.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
57.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
56.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
56.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
56.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
55.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
55.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
54.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
54.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
54.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
53.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
53.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
53.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
53.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
52.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
52.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
52.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
52.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
51.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
51.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
51.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
50.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
50.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
49.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
49.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
48.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
48.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
47.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
47.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
46.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
46.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
46.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
45.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
45.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
44.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
43.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
43.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
42.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
42.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
42.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
39.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
37.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
36.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
26.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.4
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.
IDH1 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
104.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
272.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
208.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
205.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
185.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
182.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
180.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
172.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
168.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
165.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
161.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
156.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
154.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
153.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
152.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
151.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
150.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
148.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
146.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
139.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
126.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
126.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
122.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
121.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
120.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
119.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
117.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
114.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
113.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
112.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
112.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
112.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
109.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
108.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
107.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
105.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
104.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
102.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
102.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
102.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
99.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
99.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
97.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
95.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
94.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
94.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
94.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
93.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
92.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
92.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
90.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
89.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
88.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
88.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
87.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
87.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
86.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
85.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
85.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
84.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
83.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
83.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
81.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
78.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
78.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
76.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
76.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
74.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
74.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
74.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
73.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
72.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
69.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
67.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
65.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
64.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
63.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
61.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
60.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
58.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
46.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
45.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
36.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
32.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
30.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IDH1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
74.6
Number of samples
207
Samples
Sample
Description
TPM
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
207.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
148.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
147.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
141.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
136.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
132.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
130.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
127.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
123.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
122.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
118.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
118.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
115.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
113.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
113.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
113.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
111.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
110.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
108.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
106.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
105.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
105.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
105.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
102.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
102.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
102.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
102.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
102.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
101.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
101.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
101.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
99.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
99.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
98.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
98.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
97.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
97.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
96.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
96.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
95.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
95.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
95.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
94.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
93.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
93.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
93.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
91.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
90.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
90.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
90.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
89.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
89.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
88.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
88.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
88.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
87.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
87.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
86.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
86.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
86.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
85.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
85.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
85.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
84.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
84.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
84.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
84.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
83.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
83.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
83.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
82.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
82.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
82.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
82.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
82.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
81.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
81.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
81.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
81.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
79.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
78.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
78.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
77.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
75.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
75.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
75.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
75.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
75.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
73.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
73.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
72.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
72.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
72.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
72.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
72.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
72.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
72.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
71.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
71.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
71.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
71.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
70.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
70.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
70.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
70.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
70.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
70.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
69.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
69.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
69.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
68.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
68.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
68.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
67.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
67.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
67.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
67.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
66.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
65.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
65.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
65.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
65.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
64.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
63.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
63.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
63.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
63.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
62.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
62.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
61.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
61.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
61.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
61.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
61.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
61.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
60.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
60.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
59.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
59.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
59.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
59.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
58.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
58.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
58.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
58.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
58.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
56.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
56.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
56.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
56.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
55.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
54.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
53.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
53.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
53.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
52.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
52.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
51.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
51.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
50.7
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
50.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
50.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
50.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
50.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
48.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
48.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
48.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
48.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
47.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
47.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
46.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
43.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
42.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
42.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
42.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
41.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
41.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
40.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
39.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
38.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
38.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
35.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
34.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
24.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.4
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Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.2
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Normal
0.2
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Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
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Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
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Tumor
0.2
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Tumor
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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Normal
0.2
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Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
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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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
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
05a33362-82bb-48ac-8feb-ad2ea1_D2
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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Normal
0.1
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Normal
0.1
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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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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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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
-0.1
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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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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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Normal
-0.1
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Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
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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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Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
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Normal
-0.2
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Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
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Tumor
-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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Normal
-0.2
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Tumor
-0.2
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Tumor
-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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Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.3
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Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-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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Normal
-0.3
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Tumor
-0.3
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Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
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Normal
-0.5
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Tumor
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
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Tumor
-0.5
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Normal
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
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Normal
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
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Tumor
-0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
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Tumor
-0.7
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Normal
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.9
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
