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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.
MYO1C is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
56.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
211.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
125.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
123.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
114.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
111.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
110.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
110.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
110.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
109.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
103.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
103.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
102.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
101.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
99.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
97.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
97.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
95.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
95.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
93.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
93.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
93.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
92.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
92.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
91.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
91.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
90.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
90.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
90.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
89.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
88.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
88.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
88.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
88.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
86.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
86.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
85.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
85.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
84.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
84.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
84.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
83.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
82.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
81.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
81.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
80.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
79.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
79.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
79.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
79.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
78.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
77.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
77.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
75.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
74.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
74.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
72.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
71.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
71.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
71.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
70.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
70.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
70.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
69.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
68.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
68.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
68.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
67.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
67.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
67.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
66.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
66.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
66.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
65.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
65.3
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
64.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
64.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
64.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
64.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
64.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
63.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
63.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
62.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
62.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
62.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
62.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
62.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
61.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
61.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
61.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
60.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
60.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
60.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
60.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
59.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
59.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
59.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
59.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
59.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
58.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
58.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
58.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
58.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
58.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
58.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
57.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
57.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
57.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
57.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
57.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
55.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
55.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
55.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
55.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
55.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
55.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
54.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
54.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
54.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
54.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
54.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
54.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
54.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
54.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
53.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
53.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
53.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
53.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
53.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
53.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
51.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
51.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
51.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
50.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
50.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
50.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
50.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
49.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
48.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
48.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
48.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
48.4
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
48.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
48.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
47.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
47.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
47.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
47.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
47.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
46.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
46.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
46.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
46.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
46.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
46.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
46.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
45.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
45.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
45.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
45.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
45.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
45.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
44.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
44.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
44.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
44.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
43.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
43.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
43.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
43.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
42.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
42.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
42.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
42.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
41.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
41.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
41.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
41.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
40.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
40.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
40.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
40.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
40.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
40.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
39.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
39.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
39.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
38.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
38.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
38.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
38.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
37.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
37.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
37.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
37.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
37.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
37.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
37.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
36.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
36.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
35.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
35.3
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
35.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
35.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
34.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
33.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
33.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
33.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
33.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
33.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
32.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
32.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
32.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
32.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
32.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
31.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
31.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
31.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
30.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
30.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
30.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
29.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
29.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
29.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
26.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
26.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
26.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
26.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
25.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
24.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
24.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
23.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
23.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
23.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
23.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
22.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
22.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
21.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
21.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
20.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
18.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 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.
MYO1C 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
86.4
Number of samples
486
Samples
Sample
Description
TPM
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
212.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
191.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
189.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
177.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
175.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
168.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
166.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
164.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
160.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
157.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
154.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
153.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
150.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
149.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
146.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
144.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
143.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
143.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
143.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
142.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
142.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
138.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
136.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
135.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
135.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
134.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
133.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
133.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
133.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
132.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
132.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
131.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
131.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
130.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
130.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
129.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
129.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
129.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
128.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
128.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
128.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
127.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
127.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
127.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
126.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
126.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
125.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
125.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
125.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
125.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
123.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
123.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
122.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
122.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
121.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
120.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
120.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
120.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
119.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
119.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
119.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
119.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
118.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
118.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
118.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
117.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
117.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
117.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
116.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
116.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
115.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
115.8
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
115.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
115.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
114.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
114.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
114.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
113.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
112.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
112.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
112.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
112.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
112.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
111.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
111.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
111.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
110.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
110.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
110.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
110.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
110.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
109.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
109.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
109.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
109.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
108.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
108.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
107.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
107.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
107.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
106.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
106.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
106.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
106.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
106.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
106.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
106.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
106.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
106.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
105.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
105.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
105.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
105.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
104.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
104.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
104.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
104.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
104.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
104.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
104.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
103.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
103.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
102.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
102.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
102.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
101.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
101.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
100.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
100.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
100.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
100.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
100.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
100.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
100.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
100.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
100.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
99.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
99.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
99.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
99.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
99.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
99.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
98.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
98.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
98.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
98.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
97.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
97.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
97.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
96.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
96.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
96.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
96.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
95.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
95.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
95.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
95.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
95.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
95.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
94.8
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
94.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
94.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
94.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
93.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
92.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
92.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
92.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
92.4
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
92.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
92.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
92.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
92.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
92.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
92.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
91.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
91.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
91.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
91.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
91.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
91.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
90.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
90.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
90.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
90.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
90.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
90.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
90.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
90.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
90.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
89.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
89.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
89.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
89.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
88.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
88.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
88.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
88.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
88.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
88.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
88.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
88.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
88.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
88.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
87.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
87.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
87.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
87.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
87.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
87.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
87.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
87.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
87.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
87.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
87.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
86.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
86.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
86.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
86.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
86.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
85.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
85.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
85.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
85.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
85.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
85.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
85.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
85.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
85.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
85.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
85.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
85.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
85.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
84.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
84.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
84.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
83.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
83.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
83.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
83.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
83.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
83.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
83.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
83.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
83.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
83.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
83.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
82.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
82.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
82.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
82.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
82.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
82.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
82.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
81.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
81.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
81.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
81.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
81.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
81.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
81.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
81.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
81.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
80.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
80.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
80.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
80.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
80.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
80.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
80.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
79.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
79.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
79.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
79.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
79.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
79.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
79.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
78.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
78.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
78.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
78.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
78.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
77.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
77.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
77.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
77.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
76.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
76.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
76.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
76.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
76.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
76.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
76.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
76.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
76.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
75.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
74.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
74.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
74.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
74.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
74.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
74.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
74.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
74.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
74.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
73.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
73.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
73.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
73.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
73.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
73.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
73.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
73.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
72.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
72.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
72.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
72.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
72.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
71.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
71.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
71.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
71.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
71.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
71.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
71.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
71.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
70.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
70.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
70.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
70.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
70.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
70.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
70.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
70.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
70.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
70.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
70.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
69.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
69.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
69.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
69.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
68.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
68.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
68.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
68.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
68.1
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
68.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
67.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
67.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
67.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
67.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
67.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
67.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
67.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
67.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
67.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
67.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
67.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
67.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
66.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
66.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
66.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
66.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
65.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
65.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
65.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
65.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
65.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
65.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
64.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
64.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
64.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
64.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
64.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
64.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
64.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
64.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
63.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
63.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
63.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
63.6
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
63.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
63.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
63.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
63.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
62.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
62.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
62.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
62.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
62.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
62.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
61.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
61.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
61.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
61.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
61.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
61.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
60.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
60.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
60.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
60.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
60.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
60.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
60.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
60.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
59.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
59.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
59.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
59.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
58.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
58.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
58.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
58.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
58.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
57.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
57.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
57.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
57.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
57.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
57.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
56.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
56.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
56.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
56.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
56.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
56.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
55.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
55.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
55.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
55.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
55.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
55.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
55.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
55.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
54.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
54.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
53.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
53.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
53.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
53.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
53.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
52.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
52.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
52.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
52.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
51.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
51.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
51.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
50.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
49.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
49.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
49.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
48.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
48.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
47.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
47.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
46.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
46.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
43.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
43.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
40.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
40.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
38.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
38.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
37.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
34.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
33.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
32.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
32.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
31.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.6
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.
MYO1C 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
49.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
115.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
98.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
98.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
96.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
87.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
80.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
79.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
76.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
72.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
71.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
71.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
67.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
66.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
66.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
66.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
65.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
63.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
63.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
63.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
62.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
61.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
60.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
59.4
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
58.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
58.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
56.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
55.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
55.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
53.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
53.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
52.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
52.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
52.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
50.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
50.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
49.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
49.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
49.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
47.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
47.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
46.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
45.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
45.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
45.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
45.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
44.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
44.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
43.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
42.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
41.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
41.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
40.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
39.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
39.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
38.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
38.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
37.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
37.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
36.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
36.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
35.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
35.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
34.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
33.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
33.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
33.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
32.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
32.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
31.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
31.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
31.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
30.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
30.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
30.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
29.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
29.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
27.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
27.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
26.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
19.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
17.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MYO1C 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
76.5
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
197.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
148.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
144.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
138.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
132.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
130.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
119.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
119.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
119.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
115.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
113.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
112.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
112.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
111.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
111.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
110.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
110.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
110.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
109.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
109.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
108.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
107.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
106.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
105.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
105.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
104.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
104.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
103.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
101.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
101.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
101.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
100.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
100.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
100.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
99.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
98.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
97.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
97.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
96.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
96.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
95.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
95.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
95.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
94.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
94.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
94.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
94.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
93.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
93.5
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
92.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
92.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
91.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
91.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
90.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
89.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
89.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
88.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
88.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
87.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
87.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
86.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
86.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
86.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
84.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
84.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
84.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
84.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
83.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
83.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
82.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
82.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
82.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
82.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
82.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
81.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
81.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
81.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
81.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
81.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
81.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
81.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
81.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
80.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
80.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
80.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
80.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
79.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
79.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
79.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
79.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
78.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
78.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
78.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
77.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
77.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
76.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
76.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
76.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
75.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
75.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
74.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
74.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
74.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
73.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
73.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
73.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
73.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
73.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
73.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
72.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
72.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
72.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
71.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
71.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
71.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
71.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
70.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
70.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
70.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
69.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
69.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
69.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
68.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
68.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
68.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
68.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
67.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
67.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
67.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
67.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
66.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
66.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
65.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
65.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
65.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
64.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
64.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
64.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
64.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
63.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
63.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
63.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
62.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
62.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
61.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
61.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
61.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
61.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
60.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
59.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
59.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
58.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
58.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
58.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
58.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
58.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
57.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
57.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
57.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
56.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
56.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
56.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
55.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
55.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
54.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
54.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
53.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
52.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
52.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
52.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
51.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
50.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
50.8
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
49.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
49.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
49.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
49.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
48.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
48.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
48.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
48.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
47.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
46.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
45.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
45.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
45.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
45.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
45.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
44.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
44.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
43.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
41.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
37.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
31.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
1.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
1.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
1.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
1.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
1.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
1.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.9
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.9
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.9
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.9
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.9
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.9
41a04113-2061-4923-bca5-da586c_D2
Normal
0.8
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.8
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.8
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.8
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.7
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.7
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.5
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.5
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.6
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.8
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.8
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.8
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.8
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.8
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.8
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.8
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.9
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.9
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.3
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
