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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.
ABHD14B 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
78.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
183.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
170.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
157.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
156.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
155.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
154.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
150.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
147.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
135.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
134.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
134.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
130.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
127.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
127.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
127.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
127.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
126.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
125.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
124.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
124.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
119.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
117.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
116.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
116.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
115.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
114.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
113.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
112.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
111.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
111.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
111.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
111.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
110.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
110.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
109.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
108.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
108.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
108.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
107.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
107.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
107.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
106.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
106.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
106.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
105.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
104.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
104.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
102.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
100.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
100.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
99.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
99.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
99.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
97.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
97.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
97.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
96.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
96.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
96.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
96.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
95.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
95.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
95.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
95.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
94.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
94.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
93.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
93.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
92.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
92.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
92.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
92.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
91.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
91.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
91.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
90.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
90.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
90.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
90.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
89.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
89.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
89.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
88.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
88.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
88.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
87.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
87.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
86.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
86.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
86.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
86.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
86.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
85.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
85.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
84.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
83.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
83.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
83.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
82.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
81.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
80.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
80.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
80.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
80.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
79.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
79.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
78.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
78.7
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
78.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
78.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
78.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
78.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
78.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
78.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
77.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
77.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
77.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
76.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
76.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
76.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
76.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
76.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
76.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
75.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
75.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
75.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
75.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
74.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
74.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
73.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
73.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
72.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
72.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
72.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
72.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
72.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
71.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
71.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
71.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
71.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
71.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
71.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
70.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
70.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
70.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
70.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
70.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
70.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
68.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
68.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
68.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
67.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
67.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
67.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
67.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
67.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
66.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
66.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
66.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
66.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
66.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
66.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
66.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
65.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
65.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
65.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
65.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
65.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
64.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
64.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
64.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
64.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
64.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
64.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
63.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
63.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
63.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
62.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
62.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
62.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
61.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
61.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
60.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
60.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
60.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
60.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
60.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
59.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
59.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
59.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
58.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
58.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
58.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
56.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
55.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
54.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
54.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
54.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
54.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
53.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
53.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
53.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
53.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
53.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
53.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
53.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
53.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
52.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
52.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
52.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
52.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
51.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
51.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
50.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
50.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
49.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
49.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
49.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
48.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
48.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
48.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
47.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
47.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
47.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
47.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
47.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
46.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
46.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
46.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
45.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
42.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
42.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
40.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
39.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
38.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
35.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
35.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
30.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
28.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
24.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
ABHD14B 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
58.9
Number of samples
486
Samples
Sample
Description
TPM
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
128.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
119.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
118.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
117.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
114.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
113.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
107.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
106.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
106.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
106.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
105.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
105.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
104.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
103.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
103.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
102.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
99.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
99.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
99.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
97.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
96.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
96.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
95.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
95.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
94.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
94.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
94.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
93.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
93.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
93.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
91.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
91.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
91.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
90.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
90.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
88.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
88.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
88.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
88.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
88.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
87.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
87.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
87.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
87.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
87.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
86.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
86.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
86.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
85.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
85.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
85.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
84.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
84.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
84.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
84.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
84.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
83.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
83.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
83.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
83.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
83.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
82.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
82.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
82.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
82.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
81.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
81.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
81.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
81.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
81.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
81.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
81.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
81.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
81.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
81.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
80.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
80.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
80.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
80.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
79.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
79.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
78.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
78.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
78.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
78.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
78.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
77.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
77.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
77.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
77.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
77.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
77.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
76.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
76.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
76.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
75.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
75.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
75.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
75.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
75.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
74.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
74.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
73.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
72.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
72.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
72.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
71.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
71.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
70.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
70.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
70.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
70.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
69.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
69.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
69.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
69.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
69.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
69.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
68.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
68.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
68.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
68.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
68.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
68.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
67.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
67.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
67.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
67.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
67.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
67.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
67.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
67.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
67.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
67.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
66.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
66.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
66.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
66.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
66.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
66.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
66.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
66.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
66.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
66.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
66.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
65.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
65.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
65.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
65.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
65.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
65.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
65.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
65.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
64.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
64.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
64.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
64.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
64.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
64.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
64.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
64.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
64.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
63.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
63.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
63.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
63.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
63.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
63.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
63.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
63.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
63.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
62.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
62.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
62.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
62.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
62.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
62.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
61.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
61.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
61.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
61.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
61.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
61.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
61.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
61.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
61.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
61.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
61.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
61.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
61.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
61.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
60.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
60.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
60.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
60.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
60.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
60.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
59.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
59.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
59.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
59.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
59.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
59.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
58.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
58.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
58.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
58.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
58.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
57.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
57.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
57.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
57.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
57.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
57.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
56.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
56.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
56.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
56.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
56.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
55.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
55.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
55.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
55.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
55.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
55.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
55.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
55.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
55.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
55.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
55.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
55.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
54.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
54.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
54.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
54.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
54.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
54.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
54.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
54.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
54.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
54.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
54.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
54.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
54.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
54.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
54.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
54.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
54.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
54.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
54.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
53.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
53.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
53.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
53.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
53.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
53.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
53.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
52.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
52.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
52.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
52.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
52.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
52.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
52.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
52.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
52.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
51.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
51.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
51.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
51.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
51.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
51.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
51.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
51.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
51.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
51.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
50.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
50.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
50.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
50.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
50.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
50.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
49.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
49.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
49.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
49.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
48.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
48.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
48.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
48.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
48.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
48.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
48.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
48.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
48.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
48.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
48.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
47.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
47.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
47.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
47.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
47.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
47.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
47.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
46.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
46.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
46.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
46.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
45.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
45.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
45.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
45.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
45.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
45.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
45.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
45.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
44.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
44.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
44.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
44.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
44.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
44.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
43.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
43.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
43.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
43.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
43.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
43.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
43.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
43.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
43.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
43.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
43.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
43.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
42.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
42.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
42.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
42.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
42.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
42.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
42.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
41.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
41.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
41.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
41.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
41.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
41.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
41.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
41.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
41.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
41.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
40.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
40.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
40.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
40.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
40.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
40.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
39.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
39.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
39.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
39.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
38.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
38.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
38.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
38.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
38.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
38.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
37.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
37.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
37.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
37.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
37.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
37.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
37.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
36.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
36.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
36.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
35.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
35.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
35.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
35.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
35.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
34.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
33.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
32.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
32.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
32.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
32.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
31.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
31.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
31.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
31.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
30.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
30.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
29.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
29.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
28.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
28.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
27.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
26.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
26.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
26.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
26.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
25.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
25.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
25.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
24.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
24.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
23.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
22.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
20.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
ABHD14B 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
75.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
146.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
141.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
135.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
124.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
123.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
122.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
117.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
113.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
112.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
112.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
111.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
108.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
107.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
106.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
105.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
103.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
100.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
100.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
99.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
98.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
96.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
95.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
92.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
91.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
89.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
87.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
86.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
86.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
85.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
85.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
85.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
84.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
84.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
83.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
82.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
82.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
82.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
81.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
80.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
80.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
78.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
77.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
77.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
75.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
75.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
75.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
73.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
73.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
71.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
71.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
71.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
69.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
68.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
68.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
68.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
67.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
66.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
65.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
61.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
58.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
57.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
55.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
54.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
54.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
53.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
52.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
52.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
51.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
51.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
48.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
47.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
47.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
46.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
45.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
44.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
43.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
42.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
42.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
41.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
39.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
36.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
32.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
32.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
29.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
28.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 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.
ABHD14B 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
53.6
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
149.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
130.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
108.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
103.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
99.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
91.6
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
90.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
90.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
88.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
86.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
81.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
79.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
78.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
78.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
77.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
77.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
75.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
75.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
73.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
73.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
73.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
73.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
73.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
72.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
72.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
71.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
71.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
71.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
70.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
70.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
69.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
69.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
69.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
69.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
69.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
69.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
68.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
68.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
68.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
67.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
67.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
66.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
66.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
65.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
65.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
64.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
64.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
64.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
63.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
63.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
63.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
63.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
63.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
63.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
63.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
62.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
62.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
62.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
62.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
61.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
61.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
61.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
61.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
61.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
61.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
60.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
59.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
59.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
59.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
59.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
59.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
58.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
58.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
58.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
57.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
57.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
57.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
57.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
56.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
56.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
56.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
56.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
55.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
55.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
55.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
55.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
54.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
54.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
54.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
54.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
54.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
54.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
54.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
53.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
53.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
53.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
52.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
52.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
52.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
51.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
51.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
51.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
50.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
50.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
50.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
50.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
50.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
50.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
50.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
50.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
48.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
48.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
48.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
48.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
47.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
46.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
45.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
45.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
45.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
44.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
44.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
43.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
43.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
42.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
42.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
42.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
41.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
40.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
40.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
40.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
40.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
40.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
40.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
39.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
38.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
38.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
37.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
36.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
36.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
34.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
33.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
33.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
33.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
33.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
32.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
32.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
32.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
32.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
32.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
32.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
31.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
31.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
30.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
30.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
30.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
30.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
29.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
29.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
28.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
27.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
27.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
27.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
25.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
25.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
25.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
22.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
21.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.8
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.7
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.9
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.2
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.