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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.
SRM is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
74.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
169.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
151.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
148.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
144.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
144.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
141.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
138.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
130.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
130.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
129.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
126.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
125.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
123.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
118.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
117.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
114.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
114.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
113.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
113.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
113.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
113.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
112.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
110.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
110.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
109.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
109.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
108.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
107.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
107.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
107.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
107.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
107.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
106.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
105.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
104.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
104.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
102.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
101.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
100.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
100.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
99.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
99.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
98.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
97.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
96.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
96.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
95.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
95.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
94.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
94.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
93.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
92.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
92.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
91.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
91.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
91.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
90.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
89.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
89.6
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
88.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
88.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
88.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
87.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
87.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
87.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
87.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
87.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
86.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
86.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
85.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
85.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
85.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
85.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
84.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
84.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
84.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
84.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
83.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
83.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
82.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
82.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
82.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
81.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
81.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
81.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
81.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
81.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
81.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
80.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
80.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
80.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
80.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
79.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
79.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
79.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
79.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
79.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
79.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
79.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
79.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
78.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
78.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
78.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
78.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
78.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
78.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
78.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
77.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
77.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
77.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
76.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
76.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
76.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
76.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
75.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
75.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
75.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
75.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
75.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
75.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
75.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
75.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
74.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
74.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
74.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
74.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
74.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
74.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
74.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
74.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
73.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
73.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
73.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
72.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
72.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
72.6
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
72.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
71.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
71.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
70.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
70.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
69.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
69.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
69.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
68.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
68.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
68.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
68.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
67.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
67.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
67.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
67.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
67.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
67.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
66.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
66.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
65.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
65.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
65.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
64.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
64.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
64.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
64.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
64.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
63.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
63.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
63.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
62.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
61.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
61.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
61.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
61.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
60.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
60.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
59.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
59.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
59.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
58.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
57.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
57.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
57.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
56.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
56.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
56.6
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
56.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
56.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
56.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
56.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
55.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
55.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
55.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
55.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
55.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
54.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
53.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
53.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
53.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
52.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
52.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
52.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
52.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
52.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
52.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
51.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
51.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
51.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
50.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
49.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
49.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
48.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
46.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
45.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
45.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
44.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
44.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
44.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
44.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
43.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
42.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
41.5
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
41.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
41.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
41.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
40.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
40.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
39.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
38.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
38.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
37.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
35.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
33.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
33.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
32.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
32.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
31.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
30.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
30.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
21.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
17.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
14.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
12.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SRM 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
61.3
Number of samples
486
Samples
Sample
Description
TPM
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
191.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
136.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
132.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
130.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
128.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
121.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
120.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
115.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
113.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
112.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
110.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
110.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
108.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
108.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
107.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
106.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
106.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
105.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
104.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
103.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
103.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
101.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
100.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
100.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
99.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
98.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
97.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
97.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
97.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
97.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
97.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
97.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
96.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
95.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
95.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
95.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
94.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
94.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
93.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
93.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
93.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
93.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
92.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
90.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
90.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
90.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
90.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
89.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
89.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
89.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
89.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
88.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
88.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
88.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
87.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
87.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
87.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
87.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
86.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
86.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
86.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
86.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
86.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
86.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
85.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
85.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
85.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
85.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
85.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
84.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
84.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
84.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
84.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
84.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
84.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
84.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
84.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
83.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
83.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
83.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
83.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
82.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
82.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
81.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
81.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
81.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
81.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
81.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
80.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
80.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
80.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
79.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
79.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
79.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
78.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
78.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
78.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
78.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
77.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
77.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
77.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
77.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
77.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
77.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
77.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
77.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
77.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
76.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
76.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
76.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
75.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
75.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
75.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
75.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
75.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
75.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
74.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
73.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
73.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
73.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
73.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
73.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
73.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
72.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
72.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
72.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
71.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
71.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
71.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
71.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
71.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
70.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
70.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
70.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
70.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
70.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
70.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
70.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
70.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
70.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
70.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
69.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
69.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
69.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
69.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
69.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
69.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
69.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
69.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
69.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
69.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
68.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
68.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
68.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
68.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
67.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
67.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
67.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
67.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
67.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
67.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
67.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
66.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
66.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
66.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
66.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
66.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
66.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
66.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
65.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
65.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
65.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
65.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
65.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
65.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
65.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
65.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
65.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
65.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
64.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
64.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
64.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
64.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
64.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
64.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
64.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
63.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
63.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
63.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
63.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
63.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
63.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
63.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
63.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
63.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
62.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
62.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
62.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
62.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
62.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
61.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
61.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
61.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
61.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
61.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
61.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
61.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
61.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
61.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
60.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
60.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
60.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
60.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
60.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
60.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
60.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
60.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
60.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
59.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
59.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
59.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
59.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
59.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
59.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
59.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
59.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
59.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
58.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
58.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
58.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
58.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
58.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
58.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
58.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
58.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
58.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
58.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
57.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
57.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
57.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
57.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
57.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
57.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
57.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
57.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
56.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
56.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
56.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
56.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
56.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
56.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
56.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
56.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
56.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
55.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
55.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
55.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
55.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
55.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
55.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
55.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
55.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
54.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
54.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
54.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
54.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
54.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
54.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
54.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
54.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
53.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
53.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
53.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
53.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
53.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
53.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
53.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
53.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
53.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
53.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
53.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
53.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
52.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
52.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
52.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
51.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
51.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
51.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
51.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
51.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
51.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
51.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
51.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.9
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
50.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
50.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
50.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
50.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
50.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
50.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
50.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
50.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
49.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
49.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
49.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
49.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
49.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
49.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
49.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
49.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
49.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
49.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
49.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
49.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
49.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
49.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
49.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
49.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
48.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
48.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
48.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
48.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
48.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
48.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
48.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
47.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
47.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
47.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
47.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
47.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
46.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
46.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
46.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
46.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
46.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
45.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
45.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
45.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
45.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
45.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
44.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
44.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
44.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
44.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
44.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
44.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
44.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
43.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
42.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
42.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
42.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
42.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
42.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
42.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
42.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
42.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
42.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
42.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
41.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
41.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
41.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
41.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
41.6
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
41.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
41.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
41.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
41.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
40.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
40.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
40.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
40.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
40.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
39.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
39.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
39.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
39.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
39.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
38.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
38.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
38.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
38.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
38.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
38.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
38.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
37.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
37.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
37.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
37.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
37.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
37.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
37.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
36.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
36.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
36.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
36.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
36.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
36.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
36.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
36.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
36.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
35.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
35.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
34.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
34.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
33.1
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
32.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
32.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
32.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
32.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
31.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
31.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
30.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
30.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
30.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
30.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
30.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
26.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
26.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
26.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
23.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
23.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
23.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
21.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
16.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
16.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.3
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.
SRM 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
71.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
168.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
166.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
135.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
127.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
124.8
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
122.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
114.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
111.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
111.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
108.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
104.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
98.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
98.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
96.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
95.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
94.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
94.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
91.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
90.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
89.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
85.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
85.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
85.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
83.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
82.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
81.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
81.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
80.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
80.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
78.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
78.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
78.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
77.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
77.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
76.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
75.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
74.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
74.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
70.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
70.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
69.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
68.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
68.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
68.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
64.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
64.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
63.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
63.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
61.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
61.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
60.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
60.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
59.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
59.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
58.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
58.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
55.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
55.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
54.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
53.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
51.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
51.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
50.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
49.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
49.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
48.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
47.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
46.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
46.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
45.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
43.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
43.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
43.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
42.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
40.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
40.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
40.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
40.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
38.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
38.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
37.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
36.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
35.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
34.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SRM 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
54.2
Number of samples
207
Samples
Sample
Description
TPM
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
138.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
132.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
113.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
95.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
94.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
93.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
89.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
87.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
86.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
86.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
85.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
83.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
82.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
82.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
81.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
81.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
78.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
78.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
77.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
77.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
77.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
76.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
76.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
75.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
74.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
74.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
73.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
72.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
71.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
71.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
71.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
70.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
70.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
69.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
69.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
69.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
69.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
68.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
68.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
68.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
67.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
67.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
67.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
67.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
66.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
66.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
66.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
65.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
64.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
64.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
64.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
64.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
64.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
63.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
62.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
62.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
62.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
62.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
62.1
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
62.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
62.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
62.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
61.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
61.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
61.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
60.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
59.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
59.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
59.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
59.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
59.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
57.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
57.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
57.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
57.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
56.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
56.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
55.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
55.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
55.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
54.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
54.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
54.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
53.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
53.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
53.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
52.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.5
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
52.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
52.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
51.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
51.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
51.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
51.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
51.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
50.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
50.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
50.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
50.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
49.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
49.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
49.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
48.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
48.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
48.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
48.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
48.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
48.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
48.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
47.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
47.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
47.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
47.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
46.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
46.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
46.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
46.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
45.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
45.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
45.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
44.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
44.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
44.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
44.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
43.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
43.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
42.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
42.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
42.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
41.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
41.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
41.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
41.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
41.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
40.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
40.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
40.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
40.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
39.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
38.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
38.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
38.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
37.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
37.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
37.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
37.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
37.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
35.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
35.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
35.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
34.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
34.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
34.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
33.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
32.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
29.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
29.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
29.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
28.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
28.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
28.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
28.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
27.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
27.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
23.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
21.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_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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Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_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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Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
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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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
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
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
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Normal
0.1
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Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
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Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
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Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
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Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
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Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
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Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
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Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
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Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.2
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Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
