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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.
TIMM50 is potential prognostic, high expression is favorable 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
77.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
170.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
160.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
160.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
153.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
146.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
133.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
133.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
127.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
126.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
126.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
125.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
123.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
120.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
120.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
117.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
116.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
116.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
114.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
114.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
114.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
113.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
113.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
110.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
110.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
107.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
107.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
106.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
106.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
106.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
104.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
102.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
102.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
101.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
100.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
100.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
100.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
100.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
100.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
99.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
99.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
98.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
98.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
97.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
97.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
96.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
96.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
96.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
96.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
95.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
95.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
95.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
95.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
94.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
93.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
93.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
93.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
93.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
93.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
91.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
91.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
91.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
90.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
90.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
90.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
90.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
89.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
88.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
87.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
87.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
87.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
86.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
85.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
85.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
85.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
85.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
85.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
85.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
84.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
83.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
83.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
83.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
82.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
82.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
82.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
82.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
81.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
81.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
81.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
81.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
80.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
80.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
80.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
80.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
80.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
79.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
79.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
79.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
79.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
79.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
79.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
79.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
78.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
78.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
78.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
77.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
77.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
77.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
77.3
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
76.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
76.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
76.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
76.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
75.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
75.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
75.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
75.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
75.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
75.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
74.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
74.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
73.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
73.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
73.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
73.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
72.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
72.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
72.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
71.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
71.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
71.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
71.2
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
71.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
71.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
70.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
70.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
70.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
70.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
70.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
70.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
70.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
69.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
69.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
69.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
69.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
69.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
69.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
69.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
69.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
68.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
68.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
68.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
67.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
67.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
67.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
67.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
67.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
67.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
67.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
66.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
66.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
66.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
66.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
66.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
66.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
66.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
65.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
65.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
65.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
64.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
64.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
64.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
64.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
64.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
63.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
63.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
63.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
62.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
62.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
62.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
62.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
62.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
62.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
61.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
61.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
61.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
61.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
61.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
60.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
60.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
60.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
60.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
59.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
59.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
59.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
58.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
58.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
58.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
57.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
57.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
56.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
56.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
56.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
56.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
56.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
56.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
55.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
55.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
54.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
54.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
54.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
54.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
54.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
54.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
53.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
53.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
53.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
53.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
53.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
52.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
52.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
52.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
52.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
52.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
52.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
51.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
51.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
51.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
51.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
51.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
50.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
50.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
49.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
48.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
46.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
46.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
44.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
43.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
42.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
42.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
40.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
36.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
33.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
28.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
TIMM50 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
67.9
Number of samples
486
Samples
Sample
Description
TPM
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
238.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
179.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
154.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
145.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
141.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
139.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
123.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
122.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
122.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
114.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
112.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
112.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
112.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
112.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
109.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
109.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
108.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
108.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
106.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
105.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
102.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
102.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
102.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
102.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
101.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
100.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
99.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
98.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
98.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
98.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
98.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
98.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
96.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
96.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
95.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
95.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
95.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
94.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
93.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
93.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
93.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
93.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
93.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
93.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
92.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
92.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
92.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
92.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
92.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
92.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
92.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
91.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
91.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
91.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
91.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
90.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
90.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
89.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
89.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
89.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
89.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
89.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
88.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
88.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
88.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
87.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
87.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
87.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
87.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
86.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
86.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
86.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
86.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
85.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
85.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
85.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
85.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
85.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
85.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
85.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
84.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
84.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
84.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
84.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
83.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
83.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
83.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
83.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
83.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
83.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
83.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
82.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
82.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
82.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
82.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
82.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
82.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
82.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
82.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
82.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
81.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
81.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
81.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
81.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
81.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
81.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
81.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
81.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
81.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
81.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
80.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
80.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
80.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
80.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
80.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
80.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
80.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
80.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
79.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
79.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
79.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
79.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
79.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
79.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
79.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
79.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
78.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
78.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
78.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
78.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
78.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
77.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
77.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
77.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
77.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
77.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
77.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
77.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
77.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
77.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
77.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
76.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
76.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
76.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
76.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
76.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
76.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
76.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
75.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
75.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
75.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
75.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
75.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
75.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
75.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
75.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
75.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
75.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
74.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
74.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
74.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
74.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
74.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
74.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
74.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
74.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
74.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
74.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
74.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
74.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
74.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
73.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
73.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
73.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
73.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
73.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
73.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
73.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
73.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
73.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
73.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
73.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
73.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
72.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
72.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
72.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
72.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
72.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
72.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
72.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
71.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
71.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
71.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
71.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
71.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
71.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
71.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
71.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
71.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
71.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
70.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
70.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
70.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
70.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
70.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
69.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
69.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
69.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
69.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
69.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
69.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
69.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
69.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
68.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
68.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
68.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
68.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
68.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
68.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
68.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
68.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
68.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
68.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
68.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
68.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
68.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
68.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
67.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
67.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
67.6
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
67.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
67.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
67.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
67.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
67.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
66.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
66.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
66.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
66.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
66.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
66.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
66.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
66.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
66.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
66.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
66.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
66.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
65.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
65.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
65.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
65.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
65.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
65.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
65.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
65.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
64.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
64.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
64.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
64.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
64.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
64.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
64.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
64.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
63.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
63.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
63.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
63.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
63.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
63.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
63.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
62.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
62.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
62.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
62.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
62.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
62.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
62.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
61.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
61.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
61.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
61.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
61.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
61.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
61.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
60.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
60.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
60.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
60.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
60.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
60.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
60.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
60.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
60.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
60.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
59.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
59.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
59.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
59.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
59.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
59.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
59.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
59.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
59.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
58.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
58.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
58.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
58.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
58.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
58.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
57.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
57.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
57.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
57.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
57.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
57.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
57.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
57.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
57.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
57.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
57.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
56.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
56.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
56.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
56.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
56.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
55.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
55.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
55.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
55.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
55.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
55.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
55.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
55.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
55.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
55.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
55.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
55.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
55.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
55.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
55.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
54.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
54.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
54.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
54.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
54.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
54.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
53.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
53.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
53.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
53.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
53.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
53.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
53.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
52.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
52.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
52.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
52.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
52.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
51.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
51.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
51.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
51.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
51.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
51.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
51.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
50.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
50.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
50.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
50.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
50.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
50.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
50.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
50.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
50.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
50.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
49.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
49.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
49.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
49.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
48.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
48.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
47.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
47.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
47.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
46.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
46.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
46.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
45.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
45.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
45.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
45.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
45.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
45.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
44.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
44.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
44.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
44.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
43.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
43.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
43.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
43.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
42.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
42.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
42.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
41.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
41.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
41.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
41.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
41.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
41.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
41.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
41.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
40.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
40.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
39.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
39.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
39.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
39.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
38.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
38.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
37.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
36.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
35.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
35.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
35.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
35.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
35.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
34.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
34.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
34.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
34.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
32.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
31.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
31.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
27.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
26.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
TIMM50 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
79.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
590.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
199.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
149.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
142.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
131.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
119.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
118.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
113.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
111.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
103.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
102.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
100.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
97.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
96.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
95.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
94.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
92.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
90.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
89.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
89.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
89.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
88.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
86.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
85.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
85.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
83.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
82.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
82.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
80.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
79.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
79.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
78.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
77.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
76.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
76.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
75.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
75.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
74.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
73.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
73.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
72.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
72.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
71.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
71.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
71.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
69.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
69.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
68.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
66.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
65.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
65.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
64.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
64.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
63.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
61.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
61.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
60.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
60.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
59.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
59.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
58.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
58.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
57.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
56.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
56.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
55.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
55.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
54.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
53.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
53.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
52.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
51.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
50.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
50.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
49.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
47.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
46.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
45.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
45.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
43.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
42.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
39.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
35.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
23.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
TIMM50 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
60.3
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
428.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
280.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
152.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
129.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
106.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
102.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
101.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
101.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
99.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
98.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
96.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
91.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
89.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
88.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
84.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
81.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
81.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
80.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
79.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
79.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
78.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
78.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
78.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
77.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
77.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
77.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
77.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
77.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
77.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
76.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
74.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
74.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
73.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
73.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
72.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
72.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
72.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
71.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
71.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
71.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
70.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
70.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
70.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
68.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
68.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
68.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
67.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
67.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
67.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
67.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
67.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
67.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
67.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
66.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
66.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
66.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
65.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
65.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
65.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
65.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
65.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
64.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
64.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
64.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
64.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
63.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
63.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
62.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
61.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
60.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
60.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
60.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
60.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
60.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
59.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
59.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
59.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
58.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
58.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
57.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
57.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
57.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
57.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
57.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
56.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
56.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
56.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
55.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
55.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
55.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
55.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
55.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
55.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
55.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
54.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
54.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
54.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
54.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
54.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
53.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
53.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
53.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
53.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
53.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
52.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
52.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
51.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
51.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
51.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
50.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
50.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
50.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
49.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
49.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
49.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
49.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
49.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
48.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
48.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
48.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
48.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
48.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
47.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
46.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
46.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
45.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
45.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
45.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
45.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
45.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
43.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
43.0
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
42.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
42.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
42.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
41.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
41.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
41.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
41.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
40.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
40.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
39.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
39.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
39.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
39.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
39.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
39.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
38.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
38.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
38.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
37.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
36.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
36.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
36.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
35.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
35.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
35.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
35.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
35.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
34.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
34.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
34.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
33.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
32.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
30.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
29.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
28.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
24.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
1.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.4
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Tumor
0.4
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Tumor
0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
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Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
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Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
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Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
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Normal
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
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Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
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Normal
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
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Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
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Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
b2400046-1d25-429d-a821-6040a6
Tumor
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-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
