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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.
METTL26 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
67.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
193.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
167.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
154.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
153.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
146.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
145.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
144.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
140.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
137.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
127.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
122.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
120.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
110.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
109.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
105.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
105.8
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
104.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
101.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
101.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
99.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
98.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
96.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
93.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
93.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
93.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
92.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
92.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
91.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
91.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
91.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
90.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
89.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
89.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
89.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
88.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
87.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
87.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
86.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
85.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
85.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
85.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
84.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
84.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
83.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
82.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
81.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
81.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
81.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
80.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
80.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
80.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
80.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
79.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
79.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
79.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
79.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
79.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
79.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
79.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
78.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
78.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
78.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
78.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
78.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
77.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
77.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
77.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
77.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
77.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
76.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
76.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
76.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
76.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
76.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
76.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
75.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
75.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
75.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
75.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
75.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
75.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
75.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
75.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
74.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
74.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
74.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
74.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
74.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
74.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
73.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
73.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
73.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
73.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
73.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
73.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
72.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
72.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
71.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
71.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
71.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
70.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
70.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
70.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
70.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
69.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
69.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
69.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
69.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
68.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
68.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
67.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
67.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
67.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
67.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
67.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
67.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
66.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
66.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
66.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
66.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
66.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
66.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
65.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
65.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
65.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
65.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
64.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
64.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
64.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
64.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
64.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
63.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
63.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
63.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
63.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
63.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
63.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
62.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
61.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
61.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
61.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
61.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
60.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
60.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
60.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
60.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
60.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
59.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
59.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
59.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
59.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
58.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
58.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
58.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
58.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
57.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
57.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
57.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
57.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
57.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
56.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
56.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
56.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
56.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
56.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
56.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
56.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
55.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
55.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
54.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
54.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
54.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
53.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
53.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
53.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
53.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
53.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
52.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
52.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
52.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
52.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
51.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
51.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
51.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
51.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
51.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
51.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
50.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
49.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
49.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
49.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
49.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
49.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
48.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
48.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
48.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
47.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
47.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
46.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
46.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
46.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
45.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
45.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
45.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
44.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
44.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
44.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
43.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
43.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
43.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
42.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
42.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
41.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
40.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
39.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
38.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
37.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
37.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
36.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
36.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
36.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
35.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
35.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
34.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
34.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
34.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
32.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
30.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
30.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
27.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
26.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
23.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
23.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
18.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
17.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
METTL26 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
37.0
Number of samples
486
Samples
Sample
Description
TPM
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
79.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
73.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
73.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
68.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
68.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
68.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
67.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
67.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
67.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
66.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
66.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
65.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
64.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
61.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
60.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
59.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
59.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
59.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
58.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
58.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
58.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
56.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
56.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
55.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
54.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
54.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
54.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
53.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
53.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
53.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
53.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
53.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
53.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
53.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
52.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
52.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
52.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
51.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
51.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
51.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
50.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
50.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
50.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
50.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
50.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
50.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
50.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
50.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
49.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
49.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
48.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
48.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
48.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
48.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
48.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
48.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
48.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
47.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
47.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
47.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
47.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
47.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
47.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
47.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
47.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
47.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
46.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
46.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
46.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
46.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
46.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
46.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
46.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
46.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
46.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
46.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
46.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
45.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
45.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
45.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
45.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
45.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
45.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
45.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
45.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
44.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
44.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
44.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
44.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
44.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
44.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
44.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
43.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
43.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
43.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
43.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
43.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
43.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
43.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
43.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
43.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
43.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
43.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
43.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
43.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
42.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
42.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
42.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
42.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
42.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
42.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
42.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
42.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
42.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
42.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
42.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
42.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
42.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
42.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
42.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
42.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
41.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
41.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
41.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
41.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
41.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
41.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
41.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
41.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
41.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
41.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
40.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
40.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
40.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
40.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
40.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
40.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
40.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
40.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
40.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
40.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
40.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
40.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
40.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
40.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
40.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
40.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
39.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
39.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
39.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
39.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
39.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
39.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
39.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
38.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
38.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
38.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
38.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
38.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
38.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
38.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
38.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
38.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
38.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
37.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
37.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
37.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
37.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
37.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
37.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
37.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
37.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
37.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
37.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
37.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
37.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
37.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
37.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
37.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
37.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
37.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
36.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
36.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
36.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
36.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
36.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
36.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
36.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
36.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
36.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
36.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
36.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
36.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
36.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
36.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
36.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
36.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
36.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
36.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
36.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
35.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
35.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
35.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
35.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
35.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
35.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
35.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
35.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
35.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
35.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
35.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
35.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
35.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
35.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
35.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
35.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
34.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
34.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
34.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
34.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
34.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
34.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
34.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
34.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
34.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
34.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
34.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
34.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
34.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
34.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
34.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
34.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
34.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
34.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
33.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
33.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
33.9
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
33.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
33.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
33.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
33.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
33.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
33.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
33.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
33.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
33.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
33.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
32.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
32.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
32.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
32.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
32.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
32.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
32.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
32.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
32.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
32.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
32.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
32.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
32.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
32.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
31.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
31.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
31.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
31.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
31.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
31.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
31.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
31.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
31.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
31.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
30.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
30.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
30.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
30.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
30.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
30.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
30.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
30.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
30.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
30.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
30.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
30.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
30.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
30.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
30.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
30.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
30.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
30.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
30.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
30.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
30.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
29.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.8
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
29.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
29.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
29.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
29.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
29.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
29.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
29.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
29.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
29.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
29.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
29.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
29.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
29.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
29.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
29.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
28.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
28.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
28.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
28.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
28.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
28.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
28.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
28.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
28.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
27.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
27.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
27.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
27.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
27.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
27.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
27.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
27.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
27.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
27.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
27.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
27.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
27.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
27.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
27.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
26.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
26.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
26.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
26.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
26.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
26.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
26.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
26.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
26.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
25.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
25.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
25.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
25.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
25.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
25.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
25.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
25.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
24.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
24.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
24.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
24.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
24.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
24.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
24.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
24.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
24.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
24.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
23.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
23.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
23.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
23.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
23.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
23.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
23.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
23.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
23.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
23.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
23.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
22.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
22.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
22.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
22.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
22.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
22.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
22.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
22.1
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
21.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
21.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
21.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
21.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
21.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
21.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
20.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
20.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
20.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
20.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
20.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
20.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
20.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
20.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
19.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
19.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
19.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
18.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
18.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
18.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
18.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
17.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
17.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
17.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
17.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
16.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
15.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
15.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
14.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
14.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
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.
METTL26 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
69.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
645.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
139.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
121.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
119.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
107.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
105.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
102.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
102.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
97.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
95.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
93.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
91.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
87.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
87.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
84.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
79.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
77.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
76.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
76.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
75.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
74.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
74.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
74.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
72.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
72.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
70.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
68.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
67.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
66.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
66.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
65.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
65.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
65.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
64.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
63.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
63.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
62.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
62.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
62.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
60.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
60.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
60.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
58.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
57.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
56.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
56.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
55.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
54.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
54.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
53.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
53.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
53.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
53.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
53.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
52.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
51.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
50.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
50.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
50.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
49.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
48.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
48.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
46.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
45.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
45.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
44.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
44.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
43.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
43.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
42.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
42.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
42.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
41.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
40.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
38.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
38.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
32.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
METTL26 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
32.2
Number of samples
207
Samples
Sample
Description
TPM
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
71.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
66.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
61.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
59.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
57.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
55.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
53.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
51.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
51.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
51.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
48.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
47.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
47.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
46.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
45.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
44.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
44.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
43.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
43.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
43.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
42.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
42.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
42.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
42.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
42.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
41.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
41.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
40.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
40.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
40.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
40.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
39.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
39.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
39.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
39.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
39.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
38.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
37.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
37.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
37.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
37.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
37.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
37.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
37.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
36.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
36.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
36.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
36.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
36.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
36.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
35.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
35.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
35.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
35.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
34.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
34.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
34.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
34.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
34.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
33.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
33.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
33.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
33.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
33.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
33.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
33.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
32.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
32.4
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
32.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
32.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
31.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
31.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
31.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
31.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
31.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
31.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
31.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
31.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
31.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
30.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
30.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
30.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
30.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
30.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
30.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
30.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
30.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
29.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
29.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
29.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
29.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
29.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
29.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
28.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
28.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
28.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
27.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
27.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
27.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
27.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
27.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
27.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
27.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
27.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
27.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
27.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
27.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
27.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
27.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
26.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
26.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
26.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
26.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
26.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
26.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
25.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
25.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
25.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
25.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
25.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
25.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
25.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
25.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
25.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
25.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
25.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
25.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
25.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
24.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
24.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
23.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
23.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
23.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
23.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
23.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
23.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
23.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
23.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
23.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
23.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
22.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
22.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
22.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
22.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
21.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
21.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
21.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
21.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
21.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
20.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
20.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
19.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
19.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
19.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
19.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
19.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
17.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
17.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
17.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
17.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
16.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
15.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
15.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
14.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
14.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
13.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
12.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
11.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.9
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
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Tumor
0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
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Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
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Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
