We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
MANBAL 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
61.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
129.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
127.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
123.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
118.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
116.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
115.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
114.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
113.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
111.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
108.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
106.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
104.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
102.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
102.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
99.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
98.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
98.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
97.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
97.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
96.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
96.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
93.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
93.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
92.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
91.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
91.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
87.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
87.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
87.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
86.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
86.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
86.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
86.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
85.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
82.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
82.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
82.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
82.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
80.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
80.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
80.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
79.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
79.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
79.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
79.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
78.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
78.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
77.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
77.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
76.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
75.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
75.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
75.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
75.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
74.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
74.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
74.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
74.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
74.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
74.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
74.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
74.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
73.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
73.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
73.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
72.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
72.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
72.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
72.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
71.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
71.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
70.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
70.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
69.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
69.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
69.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
69.0
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
68.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
68.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
68.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
68.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
68.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
68.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
67.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
67.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
66.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
66.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
65.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
65.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
64.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
64.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
64.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
63.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
63.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
63.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
63.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
62.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
62.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
62.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
62.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
61.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
61.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
61.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
60.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
59.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
59.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
59.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
59.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
59.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
59.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
59.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
59.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
58.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
58.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
58.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
58.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
58.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
58.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
58.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
58.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
57.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
57.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
57.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
57.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
57.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
57.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
56.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
56.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
56.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
56.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
56.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
56.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
56.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
56.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
55.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
55.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
55.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
55.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
54.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
54.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
54.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
54.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
53.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
53.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
53.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
53.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
52.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
52.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
52.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
52.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
51.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
51.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
51.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
51.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
51.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
51.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
51.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
50.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
50.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
50.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
50.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
50.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
49.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
49.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
49.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
49.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
49.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
49.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
49.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
49.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
49.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
49.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
48.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
48.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
48.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
47.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
47.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
47.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
47.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
47.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
47.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
47.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
47.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
47.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
47.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
46.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
46.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
46.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
46.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
46.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
45.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
45.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
45.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
45.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
44.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
44.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
44.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
44.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
44.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
43.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
42.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
42.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
42.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
42.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
41.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
41.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
40.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
39.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
39.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
38.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
38.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
38.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
38.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
37.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
37.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
37.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
35.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
35.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
34.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
34.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
34.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
33.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
32.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
31.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
30.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
28.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
28.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
28.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
28.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
22.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 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.
MANBAL 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
47.5
Number of samples
486
Samples
Sample
Description
TPM
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
110.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
106.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
99.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
95.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
95.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
93.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
92.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
90.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
85.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
85.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
82.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
82.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
80.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
78.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
77.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
76.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
76.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
76.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
75.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
75.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
75.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
75.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
75.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
75.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
74.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
74.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
73.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
73.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
72.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
71.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
71.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
71.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
70.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
70.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
70.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
69.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
69.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
68.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
68.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
68.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
68.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
67.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
67.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
67.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
67.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
67.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
66.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
66.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
66.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
65.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
65.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
65.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
65.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
64.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
64.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
64.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
64.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
63.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
63.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
62.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
62.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
62.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
62.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
61.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
61.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
61.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
61.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
61.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
61.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
60.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
60.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
60.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
60.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
60.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
60.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
59.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
59.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
59.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
59.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
59.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
59.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
59.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
59.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
59.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
58.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
58.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
58.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
58.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
58.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
58.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
58.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
58.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
58.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
58.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
57.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
57.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
57.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
57.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
57.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
57.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
57.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
57.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
57.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
56.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
56.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
56.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
56.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
56.5
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
56.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
56.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
55.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
55.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
55.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
55.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
55.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
54.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
54.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
54.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
54.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
54.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
54.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
54.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
53.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
53.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
53.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
53.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
53.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
53.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
52.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
52.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
52.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
52.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
52.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
52.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
52.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
52.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
52.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
52.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
51.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
51.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
51.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
51.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
51.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
51.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
51.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
51.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
51.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
51.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
51.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
51.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
51.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
50.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
50.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
50.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
50.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
50.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
50.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
50.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
50.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
50.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
50.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
50.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
50.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
49.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
49.8
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
49.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
49.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
49.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
49.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
49.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
49.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
49.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
49.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
49.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
49.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
48.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
48.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
48.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
48.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
48.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
48.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
48.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
48.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
48.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
48.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
47.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
47.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
47.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
47.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
47.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
47.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
47.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
47.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
47.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
47.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
47.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
47.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
47.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
47.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
47.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
46.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
46.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
46.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
46.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
46.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
46.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
46.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
46.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
46.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
46.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
46.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
46.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
46.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
46.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
46.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
46.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
45.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
45.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
45.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
45.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
45.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
45.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
45.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
45.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
45.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
45.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
45.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
45.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
45.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
45.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
44.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
44.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
44.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
44.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
44.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
44.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
44.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
44.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
44.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
44.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
44.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
44.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
44.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
44.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
44.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
44.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
43.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
43.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
43.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
43.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
43.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
43.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
43.3
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
43.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
43.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
43.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
42.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
42.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
42.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
42.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
42.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
42.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
42.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
42.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
42.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
42.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
42.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
42.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
42.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
41.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
41.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
41.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
41.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
41.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
41.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
41.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
41.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
41.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
41.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
41.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
41.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
41.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
41.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
40.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
40.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
40.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
40.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
40.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
40.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
40.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
40.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
40.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
40.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
39.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
39.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
39.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
39.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
39.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
39.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
39.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
39.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
39.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
39.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
39.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
39.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
39.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
39.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
39.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
38.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
38.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
38.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
38.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
38.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
38.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
38.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
38.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
38.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
38.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
37.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
37.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
37.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
37.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
37.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
37.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
37.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
37.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
37.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
37.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
37.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
36.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
36.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
36.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
36.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
36.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
36.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
36.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
36.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
36.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
36.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
36.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
36.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
36.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
36.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
35.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
35.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
35.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
35.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
35.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
35.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
35.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
35.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
35.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
35.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
35.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
34.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
34.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
34.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
34.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
34.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
34.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
34.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
34.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
34.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
34.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
34.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
33.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
33.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
33.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
33.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
33.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
32.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
32.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
32.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
32.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
32.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
32.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
32.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
32.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
32.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
32.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
32.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
32.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
31.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
31.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
31.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
31.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
31.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
31.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
31.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
31.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
31.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
30.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
30.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
30.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
30.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
30.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
30.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
29.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
29.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
28.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
28.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
28.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
28.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
28.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
28.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
28.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
28.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
28.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
27.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
27.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
26.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
26.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
26.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
26.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
24.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
24.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
23.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
23.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
21.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
18.5
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.
MANBAL 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
66.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
171.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
109.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
100.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
99.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
95.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
91.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
90.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
90.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
90.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
90.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
89.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
89.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
89.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
86.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
86.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
84.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
84.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
83.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
82.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
79.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
77.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
76.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
75.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
75.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
74.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
74.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
74.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
73.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
73.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
73.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
72.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
71.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
70.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
68.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
67.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
67.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
66.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
66.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
66.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
66.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
65.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
64.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
63.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
62.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
62.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
61.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
61.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
61.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
61.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
61.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
59.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
59.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
59.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
58.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
58.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
58.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
57.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
57.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
55.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
55.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
54.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
54.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
52.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
52.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
52.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
51.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
51.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
50.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
48.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
48.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
48.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
47.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
47.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
46.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
43.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
43.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
43.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
41.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
40.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
39.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
39.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
38.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
38.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
35.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
35.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
33.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 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.
MANBAL 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
46.8
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
112.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
81.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
80.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
78.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
74.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
73.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
71.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
70.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
70.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
70.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
69.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
69.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
68.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
68.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
66.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
66.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
65.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
65.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
64.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
64.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
63.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
63.2
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
62.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
62.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
62.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
61.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
60.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
60.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
59.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
58.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.3
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
57.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
57.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
57.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
57.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
56.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
56.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
56.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.2
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
56.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
55.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
55.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
55.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
55.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
54.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
54.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
53.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
53.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
53.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
53.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
53.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
53.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
52.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
52.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
52.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
52.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
52.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
52.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
51.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
51.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
51.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
50.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
50.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
50.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
50.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
50.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
50.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
49.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
49.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
49.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
49.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
49.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
49.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
48.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
48.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
48.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
48.0
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
47.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
47.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
47.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
47.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
46.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
46.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
46.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
46.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
46.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
46.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
46.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
46.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
45.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
45.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
45.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
45.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
44.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
44.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
44.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
44.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
44.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
44.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
44.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
44.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
43.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
43.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
43.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
43.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
43.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
43.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
43.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
43.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
43.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
42.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
42.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
42.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
41.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
41.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
41.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
41.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
40.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
40.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
40.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
39.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
39.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
39.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
39.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
39.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
39.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
39.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
39.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
39.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
39.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
39.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
38.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
38.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
38.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
38.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
38.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
38.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
38.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
38.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
38.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
37.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
37.7
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
37.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
37.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
37.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
37.3
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
37.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
37.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
37.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
36.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
36.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
36.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
35.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
35.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
34.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
33.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
33.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
33.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
33.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
32.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
32.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
31.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.2
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
30.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
30.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
29.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
28.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
28.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
28.3
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
27.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
27.2
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
26.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
26.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
25.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
22.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
18.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
1.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.7
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
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
