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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.
TMUB1 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
69.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
139.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
136.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
132.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
131.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
129.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
128.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
121.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
121.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
117.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
114.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
113.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
113.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
112.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
108.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
108.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
108.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
105.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
104.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
102.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
101.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
101.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
100.2
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
99.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
99.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
99.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
98.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
98.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
97.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
96.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
95.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
95.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
94.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
93.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
92.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
92.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
90.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
89.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
89.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
89.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
88.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
88.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
88.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
87.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
87.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
86.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
86.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
85.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
85.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
85.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
84.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
84.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
84.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
84.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
83.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
83.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
83.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
83.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
82.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
82.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
82.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
82.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
81.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
80.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
80.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
80.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
80.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
80.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
79.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
78.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
78.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
78.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
78.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
78.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
78.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
78.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
77.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
77.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
77.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
76.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
76.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
75.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
75.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
75.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
75.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
74.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
74.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
74.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
73.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
73.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
73.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
73.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
72.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
72.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
72.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
72.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
71.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
71.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
71.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
71.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
71.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
71.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
71.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
70.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
70.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
70.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
70.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
70.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
70.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
70.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
70.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
70.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
69.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
69.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
69.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
69.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
69.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
69.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
68.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
68.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
67.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
67.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
67.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
67.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
67.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
67.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
66.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
66.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
66.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
66.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
66.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
66.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
66.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
65.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
65.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
65.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
65.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
65.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
65.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
64.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
64.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
63.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
63.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
63.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
63.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
63.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
63.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
62.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
62.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
62.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
62.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
62.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
62.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
61.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
61.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
61.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
61.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
60.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
60.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
60.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
60.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
60.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
60.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
60.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
60.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
59.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
59.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
59.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
58.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
58.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
58.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
58.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
58.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
57.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
57.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
57.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
57.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
57.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
57.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
56.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
56.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
56.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
56.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
56.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
56.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
56.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
55.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
55.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
55.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
55.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
55.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
55.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
54.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
54.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
54.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
53.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
53.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
52.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
52.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
52.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
52.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
51.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
51.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
51.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
51.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
51.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
50.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
50.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
50.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
49.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
49.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
49.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
49.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
48.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
48.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
48.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
47.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
47.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
47.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
47.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
46.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
46.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
46.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
45.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
45.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
44.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
44.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
44.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
44.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
43.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
43.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
43.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
42.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
42.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
41.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
41.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
41.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
40.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
39.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
39.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
37.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
36.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
35.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
32.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
32.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
29.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
24.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
24.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
TMUB1 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
49.8
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
105.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
99.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
95.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
94.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
92.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
90.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
88.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
87.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
86.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
85.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
84.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
83.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
81.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
80.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
79.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
79.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
79.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
78.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
78.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
78.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
77.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
77.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
76.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
76.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
75.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
75.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
75.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
75.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
74.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
74.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
74.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
74.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
74.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
74.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
73.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
73.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
72.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
72.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
71.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
71.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
71.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
71.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
70.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
70.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
70.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
69.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
69.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
69.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
69.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
69.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
68.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
68.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
68.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
68.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
68.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
68.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
67.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
67.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
67.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
66.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
66.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
66.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
65.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
65.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
65.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
65.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
64.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
64.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
63.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
63.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
63.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
63.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
63.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
62.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
62.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
62.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
61.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
61.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
61.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
60.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
60.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
60.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
60.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
60.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
59.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
59.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
59.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
59.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
59.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
59.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
59.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
59.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
59.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
59.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
59.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
58.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
58.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
58.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
58.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
58.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
58.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
58.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
58.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
58.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
58.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
58.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
58.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
57.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
57.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
57.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
57.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
57.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
57.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
57.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
57.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
57.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
56.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
56.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
56.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
56.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
56.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
56.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
56.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
56.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
56.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
56.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
55.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
55.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
55.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
55.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
55.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
55.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
55.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
54.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
54.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
54.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
54.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
54.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
53.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
53.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
53.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
53.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
53.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
53.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
53.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
53.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
53.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
53.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
52.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
52.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
52.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
52.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
52.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
52.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
52.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
52.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
52.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
52.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
52.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
52.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
52.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
51.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
51.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
51.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
51.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
51.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
51.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
51.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
51.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
51.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
51.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
51.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
51.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
51.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
50.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
50.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
50.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
50.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
50.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
50.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
50.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
50.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
50.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
50.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
49.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
49.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
49.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
49.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
49.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
49.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
49.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
49.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
49.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
49.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
49.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
49.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
49.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
49.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
49.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
49.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
49.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
49.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
49.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
48.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
48.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
48.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
48.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
48.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
48.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
48.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
48.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
48.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
48.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
48.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
48.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
47.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
47.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
47.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
47.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
47.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
47.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
47.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
47.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
47.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
46.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
46.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
46.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
46.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
46.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
46.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
46.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
46.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
46.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
46.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
46.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
46.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
46.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
46.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
46.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
46.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
46.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
46.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
45.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
45.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
45.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
45.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
45.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
45.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
45.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
45.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
45.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
45.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
45.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
45.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
45.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
44.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
44.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
44.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
44.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
44.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
44.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
44.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
44.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
44.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
44.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
43.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
43.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
43.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
43.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
43.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
43.8
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
43.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
43.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
43.6
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
43.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
43.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
43.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
43.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
43.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
43.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
43.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
43.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
42.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
42.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
42.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
42.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
42.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
42.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
42.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
42.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
42.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
42.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
42.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
41.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
41.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
41.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
41.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
41.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
41.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
41.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
41.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
41.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
41.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
41.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
41.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
41.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
41.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
40.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
40.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
40.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
40.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
40.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
40.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
40.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
40.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
40.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
40.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
40.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
40.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
39.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
39.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
39.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
39.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
39.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
39.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
39.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
39.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
39.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
39.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
39.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
39.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
39.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
39.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
39.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
39.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
38.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
38.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
38.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
38.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
38.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
38.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
38.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
38.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
38.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
37.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
37.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
37.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
37.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
37.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
37.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
37.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
37.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
37.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
37.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
37.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
36.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
36.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
36.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
36.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
36.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
36.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
36.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
36.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
36.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
36.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
36.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
36.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
36.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
36.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
36.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
36.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
35.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
35.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
35.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
35.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
35.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
34.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
34.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
34.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
34.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
34.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
34.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
34.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
34.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
33.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
33.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
33.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
33.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
32.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
32.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
32.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
32.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
32.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
32.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
32.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
31.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
31.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
31.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
31.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
31.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
31.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
31.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
30.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
30.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
30.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
30.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
29.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
29.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
28.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
28.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
28.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
27.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
26.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
26.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
22.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
21.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.0
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.
TMUB1 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
63.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
130.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
122.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
109.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
107.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
101.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
99.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
94.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
91.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
88.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
87.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
85.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
85.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
83.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
83.0
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
79.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
79.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
78.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
77.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
77.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
76.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
76.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
76.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
75.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
72.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
71.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
71.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
70.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
70.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
68.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
68.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
67.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
66.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
66.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
66.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
66.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
65.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
64.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
64.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
64.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
63.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
63.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
62.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
62.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
61.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
60.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
60.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
60.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
60.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
59.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
59.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
59.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
58.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
57.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
56.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
56.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
55.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
54.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
54.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
53.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
53.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
52.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
52.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
52.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
51.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
51.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
51.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
50.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
48.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
47.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
45.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
45.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
45.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
45.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
44.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
44.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
43.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
43.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
42.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
38.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
37.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
37.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
36.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
35.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
33.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
28.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TMUB1 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
44.5
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
103.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
85.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
78.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
78.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
71.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
71.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
71.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
70.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
69.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
69.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
65.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
65.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
65.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
64.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
63.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
62.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
62.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
59.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
59.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
58.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
56.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
56.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
56.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
56.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
55.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
55.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
55.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
55.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
55.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
55.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
55.1
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
54.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
54.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
54.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
53.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
53.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
53.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
52.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
52.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
52.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
52.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
51.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
51.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
51.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
51.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
51.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
51.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
51.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
50.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
50.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
50.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
50.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
49.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
49.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
49.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
49.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
48.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
48.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
48.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
48.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
48.2
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
48.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
48.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
47.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
47.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
46.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
46.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
46.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
46.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
45.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
45.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
45.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
45.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
45.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
45.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
45.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
45.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
45.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
45.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
45.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
45.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
44.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
44.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
44.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
44.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
44.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
43.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
43.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
43.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
43.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
43.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
43.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
43.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
43.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
42.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
42.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
42.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
42.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
42.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
42.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
42.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
41.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
41.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
41.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
40.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
40.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
40.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
40.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
40.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
40.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
40.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
40.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
39.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
38.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
38.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
38.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
38.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
38.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
38.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
37.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
37.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
37.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
36.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
36.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
36.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
36.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
36.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
35.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
35.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
35.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
35.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
35.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
35.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
35.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
34.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
34.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
34.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
34.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
34.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
33.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
33.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
33.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
33.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
33.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
32.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
32.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
31.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
31.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
31.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
30.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
30.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
30.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
30.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
30.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
30.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
30.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
29.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
29.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
28.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
28.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
27.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
26.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
26.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
24.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
23.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
23.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
22.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
22.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
1.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.7
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
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
