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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.
MYO7B is potential prognostic, high expression is favorable 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
40.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
150.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
114.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
108.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
106.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
99.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
98.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
97.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
94.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
92.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
92.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
90.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
89.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
85.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
83.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
81.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
81.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
79.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
78.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
76.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
74.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
73.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
73.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
70.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
68.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
68.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
68.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
68.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
68.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
67.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
67.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
67.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
67.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
66.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
65.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
65.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
65.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
64.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
64.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
64.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
63.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
61.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
60.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
60.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
58.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
56.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
56.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
56.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
55.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
55.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
55.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
54.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
54.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
54.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
54.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
54.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
53.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
53.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
53.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
53.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
52.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
52.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
52.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
51.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
51.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
51.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
50.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
50.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
49.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
49.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
49.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
48.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
48.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
48.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
48.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
48.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
47.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
47.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
47.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
47.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
46.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
46.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
45.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
45.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
45.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
45.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
45.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
44.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
44.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
44.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
43.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
43.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
43.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
43.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
42.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
42.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
42.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
42.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
41.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
41.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
41.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
41.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
41.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
40.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
40.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
39.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
38.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
38.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
38.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
38.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
37.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
37.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
37.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
37.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
37.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
37.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
37.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
36.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
36.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
36.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
36.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
35.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
35.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
35.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
34.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
34.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
34.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
34.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
34.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
34.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
34.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
33.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
33.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
33.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
33.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
32.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
32.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
32.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
32.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
32.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
32.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
32.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
31.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
31.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
31.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
30.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
30.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
30.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
30.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
30.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
29.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
29.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
29.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
29.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
29.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
29.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
29.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
28.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
28.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
28.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
28.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
28.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
28.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
28.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
27.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
26.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
26.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
26.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
26.6
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
26.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
26.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
26.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
26.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
26.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
26.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
25.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
25.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
25.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
25.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
24.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
24.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
24.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
24.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
24.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
23.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
23.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
23.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
23.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
22.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
22.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
22.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
21.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
21.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
21.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
20.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
20.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
20.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
19.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
18.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
16.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
16.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
16.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
15.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
15.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
14.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
13.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
13.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
13.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
12.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
12.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
11.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
11.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
11.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
11.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
11.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
10.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
9.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
9.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
8.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
5.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
4.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
4.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 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.
MYO7B 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
66.8
Number of samples
486
Samples
Sample
Description
TPM
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
197.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
170.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
167.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
166.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
164.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
163.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
161.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
160.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
147.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
145.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
143.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
140.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
139.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
137.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
131.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
130.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
130.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
129.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
127.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
126.3
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
123.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
120.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
119.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
118.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
116.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
116.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
115.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
114.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
114.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
113.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
112.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
111.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
111.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
108.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
107.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
107.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
107.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
106.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
106.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
106.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
106.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
104.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
104.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
104.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
104.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
104.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
103.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
103.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
102.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
101.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
101.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
101.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
101.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
101.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
100.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
100.7
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
100.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
100.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
100.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
100.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
99.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
99.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
99.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
98.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
98.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
98.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
98.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
98.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
98.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
98.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
97.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
97.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
97.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
96.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
95.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
95.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
95.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
95.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
94.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
94.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
94.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
94.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
92.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
92.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
92.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
92.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
92.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
92.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
91.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
91.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
90.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
90.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
90.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
89.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
89.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
89.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
88.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
88.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
88.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
88.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
88.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
87.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
87.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
87.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
87.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
86.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
86.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
86.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
86.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
85.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
85.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
85.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
85.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
84.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
84.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
84.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
84.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
83.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
83.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
83.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
83.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
83.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
83.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
83.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
82.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
82.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
82.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
82.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
82.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
82.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
82.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
82.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
82.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
82.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
82.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
82.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
81.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
81.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
81.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
81.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
80.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
80.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
80.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
79.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
79.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
79.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
79.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
78.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
78.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
78.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
78.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
78.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
78.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
77.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
77.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
77.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
77.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
77.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
77.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
77.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
76.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
76.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
76.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
76.3
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
75.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
75.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
75.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
75.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
75.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
75.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
75.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
74.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
74.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
74.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
74.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
73.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
73.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
73.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
73.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
73.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
73.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
73.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
73.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
72.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
72.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
72.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
72.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
72.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
72.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
71.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
71.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
71.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
71.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
71.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
71.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
70.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
70.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
70.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
70.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
69.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
69.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
69.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
69.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
69.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
69.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
68.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
68.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
68.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
68.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
68.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
67.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
67.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
67.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
67.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
67.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
66.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
66.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
66.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
66.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
66.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
66.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
65.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
65.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
65.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
65.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
65.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
65.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
65.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
64.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
64.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
64.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
64.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
64.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
63.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
63.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
63.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
63.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
63.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
63.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
63.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
63.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
63.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
63.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
62.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
62.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
62.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
62.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
62.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
62.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
62.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
62.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
62.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
61.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
61.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
61.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
60.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
60.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
60.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
60.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
60.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
60.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
60.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
60.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
60.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
59.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
59.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
59.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
59.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
58.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
58.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
58.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
58.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
57.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
57.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
57.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
57.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
57.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
57.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
56.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
56.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
56.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
56.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
56.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
56.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
55.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
55.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
55.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
55.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
55.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
55.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
55.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
55.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
55.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
55.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
55.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
55.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
55.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
54.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
54.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
54.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
54.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
54.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
54.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
54.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
54.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
54.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
53.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
53.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
53.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
53.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
53.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
53.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
53.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
53.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
52.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
52.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
52.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
52.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
51.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
51.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
51.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
51.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
51.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
51.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
50.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
50.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
50.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
50.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
50.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
50.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
50.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
49.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
49.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
49.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
49.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
49.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
49.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
48.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
48.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
48.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
48.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
48.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
48.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
48.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
47.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
47.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
47.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
47.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
47.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
47.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
47.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
46.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
46.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
46.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
45.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
45.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
45.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
45.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
45.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
45.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
45.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
44.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
44.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
44.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
44.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
44.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
43.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
43.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
43.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
42.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
42.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
42.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
42.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
42.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
42.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
42.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
42.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
42.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
41.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
41.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
41.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
41.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
41.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
40.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
40.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
40.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
40.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
40.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
40.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
40.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
40.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
39.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
39.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
39.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
38.8
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
38.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
38.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
37.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
37.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
37.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
37.3
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
37.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
37.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
37.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
36.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
36.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
36.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
36.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
36.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
36.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
36.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
36.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
35.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
35.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
35.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
34.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
34.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
34.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
33.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
33.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
33.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
33.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
33.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
32.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
32.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
31.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
31.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
30.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
30.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
29.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
29.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
29.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
27.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
27.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
27.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
26.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
25.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
25.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
25.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
25.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
25.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
25.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
24.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
23.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
19.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
19.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
19.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
18.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
18.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
15.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
14.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
12.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
12.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
10.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
8.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
8.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
6.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
5.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
5.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
3.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1.1
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.
MYO7B 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
35.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
79.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
73.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
65.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
64.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
63.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
63.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
62.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
62.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
61.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
60.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
60.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
59.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
57.9
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
57.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
56.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
54.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
51.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
50.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
50.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
49.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
49.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
48.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
47.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
47.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
46.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
46.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
44.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
44.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
43.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
41.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
39.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
39.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
37.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
36.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
36.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
36.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
35.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
33.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
33.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
32.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
32.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
32.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
32.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
32.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
32.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
31.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
30.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
29.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
29.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
29.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
28.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
28.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
28.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
27.0
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
26.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
26.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
25.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
25.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
24.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
23.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
23.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
23.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
23.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
21.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
18.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
17.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
16.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
16.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
16.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
15.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
13.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
8.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
7.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
6.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
5.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MYO7B 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
65.2
Number of samples
207
Samples
Sample
Description
TPM
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
165.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
138.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
135.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
135.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
129.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
122.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
122.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
121.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
120.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
119.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
118.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
113.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
112.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
109.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
109.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
108.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
107.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
107.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
107.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
105.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
100.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
100.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
96.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
94.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
94.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
93.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
92.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
92.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
92.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
92.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
90.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
90.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
90.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
89.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
89.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
88.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
87.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
87.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
87.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
87.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
86.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
85.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
85.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
85.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
84.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
84.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
83.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
83.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
83.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
83.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
82.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
82.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
81.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
80.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
79.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
78.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
78.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
78.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
78.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
76.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
76.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
75.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
75.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
74.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
74.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
74.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
74.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
74.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
73.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
73.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
72.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
72.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
70.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
70.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
70.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
69.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
68.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
68.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
68.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
67.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
66.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
66.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
66.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
65.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
65.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
65.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
64.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
64.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
64.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
64.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
63.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
63.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
63.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
62.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
62.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
62.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
61.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
61.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
61.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
61.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
60.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
60.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
59.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
59.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
59.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
59.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
59.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
59.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
59.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
59.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
59.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
58.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
58.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
58.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
58.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
57.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
57.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
57.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
57.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
57.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
57.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
56.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
56.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
55.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
55.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
54.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
54.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
54.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
54.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
54.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
53.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
53.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
53.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
53.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
53.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
52.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
52.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
52.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
52.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
51.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
51.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
50.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
49.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
49.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
48.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
48.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
48.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
47.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
47.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
47.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
47.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
47.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
46.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
46.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
46.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
45.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
45.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
43.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
43.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
43.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
43.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
43.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
42.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
42.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
42.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
42.6
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
42.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
39.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
39.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
39.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
38.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
38.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
38.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
37.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
37.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
34.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
34.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
34.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
34.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
32.5
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
32.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
31.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
31.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
30.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
25.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
24.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
24.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
24.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
24.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
22.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
20.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
15.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
13.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.9
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.8
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.6
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
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Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
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Tumor
0.2
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Normal
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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Normal
0.2
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Normal
0.2
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Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
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Normal
0.2
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Normal
0.2
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Normal
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
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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Normal
0.2
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Normal
0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.2
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Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
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Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
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
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
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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
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_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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Normal
0.0
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Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
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Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
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Tumor
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
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Normal
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
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Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
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Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
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Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.6
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Normal
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
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Tumor
-0.7
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Tumor
-0.8
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Tumor
-0.8
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Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.9
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Tumor
-0.9
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-1.1
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.