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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.
MYO1E 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
46.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
137.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
112.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
111.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
105.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
98.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
94.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
91.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
90.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
89.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
87.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
86.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
85.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
81.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
81.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
80.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
77.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
77.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
77.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
76.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
76.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
75.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
74.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
73.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
73.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
73.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
72.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
71.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
71.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
69.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
68.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
67.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
67.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
67.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
67.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
66.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
66.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
65.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
65.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
65.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
65.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
64.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
64.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
63.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
63.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
62.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
61.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
60.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
60.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
60.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
60.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
60.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
60.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
59.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
59.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
59.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
58.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
58.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
58.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
58.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
57.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
57.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
57.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
56.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
56.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
55.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
55.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
54.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
54.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
54.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
54.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
53.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
52.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
52.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
52.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
52.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
52.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
51.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
51.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
50.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
50.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
50.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
50.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
50.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
49.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
49.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
49.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
49.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
49.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
49.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
48.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
48.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
48.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
48.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
48.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
48.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
48.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
47.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
47.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
47.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
47.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
47.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
47.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
47.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
47.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
46.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
46.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
45.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
45.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
45.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
45.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
45.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
44.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
44.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
44.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
44.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
44.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
43.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
43.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
43.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
43.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
43.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
43.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
43.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
43.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
43.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
42.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
42.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
42.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
41.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
41.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
41.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
41.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
40.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
40.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
40.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
40.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
40.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
40.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
40.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
39.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
39.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
39.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
39.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
39.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
38.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.6
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
38.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
38.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
37.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
37.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
37.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
37.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
37.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
37.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
37.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
37.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
37.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
36.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
36.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
36.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
36.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
36.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
35.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
35.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
34.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
33.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
33.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
33.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
33.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
33.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
33.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
33.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
33.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
33.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
32.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
32.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
32.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
32.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
32.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
32.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
31.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
31.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
31.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
31.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
31.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
30.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
30.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
29.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
29.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
29.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
29.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
29.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
29.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
29.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
29.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
29.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
29.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
28.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
28.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
28.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
28.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
28.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
27.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
27.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
27.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
26.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
26.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
26.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
26.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
25.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
25.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
25.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
24.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
24.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
24.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
24.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
23.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
23.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
22.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
20.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
20.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
20.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
17.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
17.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
17.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
16.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
15.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
13.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
MYO1E 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
72.2
Number of samples
486
Samples
Sample
Description
TPM
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
201.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
171.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
158.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
146.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
143.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
139.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
138.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
135.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
135.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
132.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
131.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
130.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
129.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
128.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
128.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
128.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
128.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
126.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
126.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
125.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
122.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
121.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
120.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
118.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
118.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
118.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
118.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
116.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
116.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
113.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
113.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
112.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
111.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
111.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
110.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
109.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
109.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
109.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
107.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
107.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
106.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
106.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
105.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
105.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
105.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
104.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
104.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
102.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
102.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
102.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
101.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
101.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
101.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
101.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
101.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
101.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
100.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
100.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
100.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
99.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
99.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
99.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
98.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
98.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
98.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
98.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
98.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
97.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
97.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
96.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
96.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
95.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
95.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
95.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
95.7
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
95.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
95.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
94.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
94.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
94.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
94.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
94.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
93.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
93.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
93.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
93.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
92.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
92.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
91.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
91.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
91.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
91.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
91.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
91.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
90.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
90.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
90.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
90.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
90.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
89.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
88.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
88.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
88.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
88.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
87.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
87.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
87.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
87.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
86.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
86.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
86.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
85.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
85.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
85.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
85.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
85.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
84.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
84.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
84.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
84.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
84.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
83.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
83.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
83.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
83.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
83.4
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
83.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
83.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
82.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
82.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
82.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
82.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
82.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
82.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
82.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
82.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
82.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
82.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
82.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
82.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
82.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
82.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
81.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
81.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
81.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
81.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
81.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
80.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
80.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
79.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
79.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
79.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
78.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
78.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
78.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
78.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
78.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
78.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
77.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
77.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
77.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
77.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
77.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
77.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
77.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
76.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
76.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
76.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
76.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
75.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
75.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
75.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
75.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
75.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
75.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
75.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
75.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
75.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
75.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
75.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
74.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
74.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
74.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
74.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
74.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
73.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
73.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
73.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
73.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
73.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
73.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
73.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
73.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
73.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
73.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
72.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
72.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
72.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
72.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
72.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
71.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
71.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
71.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
71.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
71.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
71.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
71.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
70.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
70.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
70.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
70.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
70.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
70.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
70.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
70.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
69.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
69.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
69.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
69.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
69.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
69.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
69.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
69.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
69.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
69.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
69.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
69.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
68.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
68.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
68.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
68.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
68.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
68.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
68.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
68.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
67.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
67.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
67.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
67.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
67.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
67.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
67.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
67.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
67.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
67.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
66.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
66.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
66.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
66.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
66.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
66.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
66.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
66.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
66.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
66.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
65.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
65.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
65.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
65.5
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
65.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
65.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
65.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
64.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
64.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
64.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
64.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
64.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
64.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
64.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
64.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
64.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
64.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
64.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
64.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
63.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
63.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
63.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
63.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
63.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
63.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
63.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
63.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
63.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
62.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
62.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
62.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
62.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
62.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
62.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
62.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
62.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
62.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
62.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
62.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
62.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
61.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
61.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
61.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
61.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
61.5
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
61.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
61.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
61.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
61.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
61.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
61.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
61.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
60.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
60.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
60.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
60.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
60.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
60.1
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
60.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
60.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
59.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
59.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
59.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
59.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
59.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
59.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
58.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
58.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
58.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
58.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
58.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
58.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
58.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
58.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
58.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
58.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
58.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
58.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
57.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
57.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
57.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
57.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
57.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
57.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
57.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
57.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
57.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
56.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
56.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
56.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
56.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
56.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
56.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
56.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
55.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
55.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
55.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
55.6
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
55.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
55.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
55.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
55.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
55.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
55.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
54.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
54.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
54.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
54.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
54.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
54.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
54.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
53.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
53.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
53.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
53.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
53.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
52.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
52.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
52.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
52.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
52.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
52.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
52.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
52.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
52.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
52.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
51.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
51.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
51.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
51.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
51.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
51.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
51.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
51.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
50.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
50.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
50.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
50.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
50.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
50.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
50.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
49.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
49.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
49.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
49.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
49.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
49.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
49.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
49.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
49.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
49.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
48.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
48.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
48.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
48.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
48.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
48.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
48.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
48.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
47.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
47.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
47.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
47.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
47.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
46.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
46.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
45.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
45.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
45.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
45.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
45.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
45.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
45.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
45.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
44.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
44.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
43.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
43.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
43.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
43.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
43.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
41.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
41.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
41.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
40.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
40.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
40.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
40.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
39.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
39.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
38.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
38.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
37.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
36.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
36.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
36.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
35.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
34.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
33.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
33.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
32.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
30.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
28.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MYO1E 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
47.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
108.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
106.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
93.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
84.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
81.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
81.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
80.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
76.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
76.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
74.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
72.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
68.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
67.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
67.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
66.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
66.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
64.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
62.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
60.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
60.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
59.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
59.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
57.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
55.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
54.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
54.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
54.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
53.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
52.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
52.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
52.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
51.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
50.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
48.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
47.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
47.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
46.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
46.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
45.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
43.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
43.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
43.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
43.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
43.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
43.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
41.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
41.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
41.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
39.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
39.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
39.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
39.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
39.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
38.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
38.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
38.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
38.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
38.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
38.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
37.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
36.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
35.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
35.2
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
34.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
33.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.7
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
30.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
30.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
29.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
29.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
28.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
28.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
28.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
27.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
26.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
25.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
24.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
23.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
20.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
19.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
16.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 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.
MYO1E 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
72.0
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
260.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
190.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
184.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
167.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
163.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
146.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
144.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
142.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
132.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
121.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
117.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
110.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
108.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
105.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
102.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
102.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
100.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
100.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
100.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
98.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
98.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
97.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
95.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
94.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
94.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
92.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
92.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
91.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
90.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
90.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
90.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
90.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
90.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
89.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
89.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
89.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
88.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
88.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
88.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
87.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
87.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
87.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
86.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
85.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
85.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
85.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
82.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
82.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
82.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
82.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
82.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
81.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
81.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
81.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
81.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
80.9
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
79.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
79.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
79.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
77.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
77.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
77.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
77.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
77.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
76.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
76.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
75.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
75.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
75.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
75.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
75.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
75.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
74.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
74.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
74.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
74.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
74.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
74.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
73.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
73.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
73.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
72.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
72.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
72.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
72.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
72.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
71.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
71.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
71.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
69.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
69.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
69.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
69.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
69.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
69.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
69.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
68.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
68.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
68.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
67.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
67.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
67.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
67.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
67.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
67.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
67.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
67.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
66.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
66.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
66.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
66.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
65.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
65.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
65.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
65.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
65.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
65.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
64.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
64.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
64.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
64.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
64.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
64.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
64.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
64.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
63.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
63.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
62.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
62.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
61.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
61.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
61.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
60.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
60.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
59.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
59.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
59.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
59.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
59.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
59.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
58.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
58.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
58.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
57.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
57.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
56.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
56.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
56.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
56.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
55.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
55.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
55.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
54.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
54.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
54.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
53.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
53.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
53.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
52.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
52.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
52.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
51.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
51.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
51.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
51.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
51.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
51.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
50.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
50.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
50.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
50.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
49.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
49.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
49.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
48.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
48.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
48.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
47.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
47.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
46.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
46.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
46.2
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
45.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
44.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
44.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
43.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
42.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
42.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
41.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
40.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
40.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
39.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
38.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
38.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
38.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
37.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
37.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
35.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
34.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
16.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.7
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
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Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
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Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
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Normal
0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
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Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
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Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
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Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
