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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MARCKS 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
52.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
128.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
124.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
120.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
118.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
100.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
98.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
97.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
94.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
92.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
91.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
90.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
90.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
88.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
87.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
87.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
86.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
86.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
84.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
84.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
83.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
82.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
81.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
81.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
80.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
79.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
77.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
77.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
76.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
76.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
75.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
74.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
74.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
74.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
74.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
74.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
73.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
73.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
73.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
73.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
72.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
72.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
71.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
71.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
71.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
71.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
71.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
71.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
70.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
69.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
68.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
67.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
66.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
66.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
66.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
65.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
64.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
64.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
64.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
64.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
64.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
64.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
63.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
63.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
63.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
62.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
61.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
61.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
61.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
61.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
61.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
60.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
60.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
60.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
60.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
59.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
59.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
59.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
58.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
58.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
58.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
58.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
57.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
57.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
57.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
57.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
57.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
57.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
57.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
57.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
57.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
56.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
56.5
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
56.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
55.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
55.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
54.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
54.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
54.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
54.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
54.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
54.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
54.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
54.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
54.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
54.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
54.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
53.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
53.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
53.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
52.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
52.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
52.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
51.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
51.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
50.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
50.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
50.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
50.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
50.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
49.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
49.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
49.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
48.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
48.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
48.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
48.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
48.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
48.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
48.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
48.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
47.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
47.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
47.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
47.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
46.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
46.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
46.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
46.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
46.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
46.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
46.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
46.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
46.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
46.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
45.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
45.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
45.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
45.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
45.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
45.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
45.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
45.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
44.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
44.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
44.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
44.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
44.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
43.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
42.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
42.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
42.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
42.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
42.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
41.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
41.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
41.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
41.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
41.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
40.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
40.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
40.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
39.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
39.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
39.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
39.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
38.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
38.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
38.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
38.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
37.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
37.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
37.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
36.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
36.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
36.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
36.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
36.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
35.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
35.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
35.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
35.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
35.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
35.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
34.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
34.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
34.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
34.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
34.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
34.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
33.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
33.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
32.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
32.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
32.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
30.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
30.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
30.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
28.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
28.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
27.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
27.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
27.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
27.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
27.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
26.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
26.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
26.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
25.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
24.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
24.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
22.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
22.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
21.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
20.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
20.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
20.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
19.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
18.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
16.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
16.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 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.
MARCKS 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
81.8
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
213.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
183.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
177.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
167.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
164.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
153.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
153.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
150.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
149.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
144.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
142.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
140.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
139.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
139.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
138.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
137.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
136.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
134.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
134.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
134.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
133.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
132.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
132.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
131.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
131.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
129.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
129.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
127.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
126.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
126.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
125.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
125.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
125.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
124.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
124.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
124.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
123.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
122.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
122.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
121.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
121.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
121.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
118.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
118.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
118.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
117.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
117.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
117.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
117.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
117.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
117.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
117.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
116.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
116.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
115.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
115.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
115.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
115.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
114.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
114.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
114.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
114.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
114.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
113.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
113.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
112.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
112.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
111.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
110.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
109.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
109.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
108.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
108.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
108.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
107.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
107.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
106.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
106.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
106.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
105.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
105.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
105.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
105.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
105.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
105.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
105.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
105.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
104.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
104.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
104.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
104.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
104.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
104.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
103.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
103.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
103.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
102.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
102.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
102.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
102.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
101.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
101.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
101.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
100.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
100.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
100.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
99.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
99.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
99.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
99.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
98.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
98.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
98.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
98.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
97.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
97.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
96.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
96.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
96.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
96.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
96.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
95.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
95.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
95.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
95.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
94.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
94.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
94.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
94.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
94.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
93.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
93.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
93.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
93.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
93.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
93.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
92.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
92.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
92.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
92.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
92.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
92.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
92.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
91.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
91.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
91.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
91.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
91.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
91.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
91.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
91.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
90.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
90.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
90.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
90.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
90.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
90.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
90.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
90.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
90.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
90.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
90.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
89.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
89.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
89.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
88.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
88.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
88.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
88.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
88.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
88.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
88.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
88.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
87.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
87.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
87.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
87.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
87.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
87.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
87.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
87.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
87.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
86.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
86.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
86.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
86.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
86.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
86.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
86.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
86.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
86.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
85.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
85.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
85.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
85.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
85.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
84.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
84.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
84.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
84.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
84.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
84.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
84.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
84.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
84.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
84.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
84.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
84.2
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
84.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
84.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
83.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
83.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
83.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
83.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
83.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
83.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
83.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
83.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
83.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
83.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
82.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
82.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
82.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
82.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
82.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
82.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
82.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
82.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
81.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
81.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
81.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
81.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
81.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
81.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
81.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
81.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
81.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
81.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
81.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
81.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
81.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
81.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
81.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
80.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
80.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
80.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
80.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
80.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
80.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
80.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
80.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
80.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
80.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
79.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
79.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
79.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
79.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
79.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
79.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
79.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
78.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
78.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
78.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
78.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
78.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
78.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
78.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
77.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
77.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
77.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
77.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
77.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
77.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
77.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
77.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
76.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
76.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
76.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
76.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
76.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
76.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
75.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
75.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
75.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
75.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
74.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
74.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
74.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
74.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
74.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
74.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
74.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
74.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
74.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
74.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
73.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
73.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
72.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
72.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
72.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
72.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
72.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
72.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
72.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
72.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
72.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
72.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
71.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
71.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
71.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
71.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
71.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
71.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
71.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
70.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
70.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
70.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
70.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
70.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
70.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
69.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
69.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
69.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
69.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
69.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
69.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
68.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
68.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
68.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
68.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
68.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
68.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
67.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
67.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
67.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
67.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
67.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
67.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
66.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
66.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
66.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
66.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
66.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
66.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
65.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
65.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
65.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
65.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
65.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
64.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
64.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
64.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
64.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
63.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
63.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
63.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
63.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
63.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
63.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
62.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
62.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
62.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
61.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
61.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
61.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
61.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
61.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
61.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
60.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
60.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
60.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
60.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
60.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
60.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
60.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
60.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
59.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
59.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
59.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
59.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
59.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
59.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
58.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
58.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
58.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
58.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
58.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
58.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
58.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
58.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
58.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
58.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
57.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
57.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
57.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
57.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
57.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
56.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
56.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
56.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
56.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
56.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
56.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
56.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
56.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
56.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
55.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
55.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
55.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
53.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
53.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
52.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
52.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
52.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
51.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
51.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
51.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
50.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
50.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
50.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
50.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
50.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
50.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
49.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
49.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
49.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
49.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
49.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
48.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
48.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
48.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
48.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
48.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
48.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
47.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
47.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
46.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
46.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
45.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
44.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
44.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
44.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
42.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
42.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
41.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
41.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
41.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
40.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
39.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
39.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
39.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
39.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
38.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
37.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
37.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
36.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
34.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
32.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
31.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
30.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
30.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
30.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
29.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
27.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
27.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.9
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.
MARCKS 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
59.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
143.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
140.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
111.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
110.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
105.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
105.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
93.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
92.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
92.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
91.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
90.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
88.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
85.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
84.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
83.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
80.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
79.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
77.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
75.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
75.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
71.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
70.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
68.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
67.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
65.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
64.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
64.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
62.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
61.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
61.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
61.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
61.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
60.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
59.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
59.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
58.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
56.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
56.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
56.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
56.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
55.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
54.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
54.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
53.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
53.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
52.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
51.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
51.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
51.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
50.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
48.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
48.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
47.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
47.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
46.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
46.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
46.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
46.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
45.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
45.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
44.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
44.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
43.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
42.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
42.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
42.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
41.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
41.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
40.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
39.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
39.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
37.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
37.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
36.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
35.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
32.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
32.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
31.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
27.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
21.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
18.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
MARCKS 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
79.7
Number of samples
207
Samples
Sample
Description
TPM
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
146.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
144.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
143.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
133.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
132.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
130.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
130.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
128.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
127.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
126.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
125.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
125.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
122.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
122.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
121.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
120.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
120.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
118.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
118.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
116.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
116.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
115.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
115.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
114.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
111.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
108.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
108.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
107.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
106.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
106.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
106.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
104.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
103.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
103.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
102.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
102.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
102.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
101.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
101.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
100.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
100.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
99.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
99.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
98.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
98.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
98.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
97.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
97.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
97.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
96.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
96.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
96.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
96.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
96.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
95.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
95.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
95.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
94.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
94.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
93.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
93.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
93.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
92.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
92.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
92.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
92.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
91.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
90.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
90.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
90.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
89.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
89.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
89.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
89.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
88.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
88.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
87.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
87.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
86.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
86.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
85.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
85.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
85.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
85.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
84.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
84.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
84.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
84.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
83.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
83.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
82.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
82.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
82.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
81.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
81.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
80.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
80.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
80.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
79.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
79.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
79.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
78.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
78.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
78.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
77.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
77.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
77.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
77.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
76.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
75.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
74.7
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
73.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
73.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
72.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
72.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
72.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
72.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
72.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
72.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
71.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
71.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
71.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
71.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
70.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
70.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
69.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
69.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
68.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
68.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
68.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
68.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
68.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
68.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
67.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
66.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
65.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
65.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
65.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
65.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
65.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
64.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
64.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
63.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
63.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
63.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
63.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
62.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
61.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
61.7
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
61.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
61.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
59.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
59.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
59.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
59.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
58.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
58.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
58.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
57.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
57.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
57.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
57.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
56.8
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
56.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
56.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
55.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
55.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
55.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
54.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
54.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
53.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
53.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
53.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
52.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
52.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
52.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
51.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
51.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
50.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
49.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
49.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
48.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
45.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
45.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
45.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
42.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
42.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
40.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
39.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
39.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
35.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
33.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.9
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.9
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
0.6
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.7
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.7
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.7
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.8
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.9
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.8
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.