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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.
EMC7 is not prognostic in Liver Hepatocellular Carcinoma (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
69.3
Number of samples
362
Samples
Sample
Description
TPM
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
163.6
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
162.6
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
159.3
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
149.7
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
145.0
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
141.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
134.6
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
132.2
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
128.8
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
126.2
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
122.9
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
122.6
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
121.2
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
121.1
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
121.0
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
121.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
119.3
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
117.8
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
117.6
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
115.5
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
113.2
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
112.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
108.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
108.0
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
107.4
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
106.9
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
106.9
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
105.1
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
104.7
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
104.3
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
102.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
102.5
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
102.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
102.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
101.9
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
101.5
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
100.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
100.0
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
98.5
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
97.6
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
97.5
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
97.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
96.2
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
96.1
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
95.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
95.5
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
95.2
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
94.5
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
94.4
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
94.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
94.0
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
93.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
93.4
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
93.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
92.4
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
92.4
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
92.3
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
92.1
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
91.9
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
91.5
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
91.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
91.1
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
90.8
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
90.3
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
90.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
89.5
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
89.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
89.0
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
87.9
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
87.9
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
87.6
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
87.4
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
86.7
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
86.3
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
86.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
86.0
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
85.9
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
85.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
85.2
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
85.0
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
85.0
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
84.9
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
84.8
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
84.8
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
84.4
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
84.3
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
84.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
84.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
83.2
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
82.7
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
82.6
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
82.2
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
81.7
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
81.5
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
81.0
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
80.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
80.9
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
80.8
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
80.7
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
80.3
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
80.0
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
79.9
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
79.5
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
79.5
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
79.0
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
79.0
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
78.8
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
78.6
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
78.6
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
78.4
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
78.3
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
78.1
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
78.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
77.9
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
77.8
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
77.8
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
77.8
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
77.6
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
77.5
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
77.4
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
77.3
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
77.2
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
77.2
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
77.1
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
77.1
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
76.6
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
76.6
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
76.2
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
76.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
76.1
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
76.0
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
75.9
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
75.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
75.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
75.4
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
75.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
75.0
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
74.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
74.0
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
73.7
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
73.5
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
73.2
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
73.2
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
73.0
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
72.0
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
72.0
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
71.9
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
71.1
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
70.9
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
70.4
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
70.3
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
70.3
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
70.2
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
70.0
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
70.0
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
70.0
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
70.0
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
70.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
69.5
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
69.2
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
69.2
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
69.0
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
68.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
68.7
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
68.5
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
68.5
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
68.4
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
68.0
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
67.7
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
67.5
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
67.4
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
67.4
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
67.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
67.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
67.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
66.3
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
65.9
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
65.8
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
65.7
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
65.5
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
65.4
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
65.4
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
64.9
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
64.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
64.6
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
64.6
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
64.3
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
64.0
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
63.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
63.4
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
63.2
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
62.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
62.7
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
62.7
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
62.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
62.3
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
62.1
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
61.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
61.6
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
61.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
61.6
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
61.4
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
61.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
61.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
60.9
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
60.8
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
60.8
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
60.6
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
60.6
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
60.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
60.4
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
60.2
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
59.8
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
59.8
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
59.8
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
59.6
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
59.5
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
59.1
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
58.9
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
58.7
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
58.6
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
58.5
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
58.4
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
58.4
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
58.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
57.9
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
57.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
57.9
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
57.8
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
57.7
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
57.7
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
57.6
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
57.6
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
57.6
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
57.4
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
57.4
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
57.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
57.2
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
56.7
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
56.7
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
56.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
56.4
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
56.3
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
56.3
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
56.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
56.2
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
55.9
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
55.7
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
55.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
55.7
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
55.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
55.4
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
55.4
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
55.1
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
55.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
54.9
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
54.9
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
54.9
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
54.8
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
54.8
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
54.5
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
54.2
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
54.1
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
54.0
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
53.8
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
53.8
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
53.7
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
53.5
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
53.2
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
53.2
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
52.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
52.5
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
52.5
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
52.4
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
52.4
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
52.1
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
52.1
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
51.9
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
51.7
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
51.1
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
51.0
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
50.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
50.8
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
50.6
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
50.2
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
50.1
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
49.7
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
49.7
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
48.9
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
48.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
48.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
48.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
48.5
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
48.3
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
48.3
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
48.2
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
48.1
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
47.7
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
47.6
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
47.5
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
47.5
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
47.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
46.5
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
46.5
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
46.4
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
45.3
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
45.2
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
45.0
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
44.8
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
44.5
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
44.3
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
44.2
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
44.1
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
44.1
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
43.9
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
43.9
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
43.3
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
43.2
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
43.1
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
43.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
43.0
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
42.9
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
42.8
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
42.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
42.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
42.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
42.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
42.0
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
42.0
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
41.8
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
41.4
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
41.1
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
41.0
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
40.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
40.7
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
40.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
39.2
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
39.2
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
38.8
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
38.5
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
38.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
38.1
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
37.9
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
37.8
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
37.2
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
37.1
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
36.4
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
36.0
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
35.1
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
35.0
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
34.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
34.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
34.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
33.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
33.3
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
33.1
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
32.3
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
28.5
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
26.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
25.9
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
22.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 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.
Survival analysis data not available.
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
1013
Tumor
0.8
481
Tumor
0.7
557
Tumor
0.7
1027
Tumor
0.7
571
Tumor
0.6
857
Tumor
0.6
741
Tumor
0.6
685
Tumor
0.6
313
Tumor
0.5
861
Tumor
0.5
635
Tumor
0.5
411
Tumor
0.5
863
Tumor
0.5
873
Tumor
0.5
721
Tumor
0.5
785
Tumor
0.5
435
Tumor
0.4
135
Tumor
0.4
745
Tumor
0.4
123
Tumor
0.4
981
Tumor
0.4
393
Tumor
0.4
915
Tumor
0.4
918
Normal
0.3
957
Tumor
0.3
112
Tumor
0.3
984
Normal
0.3
261
Tumor
0.3
527
Tumor
0.3
937
Tumor
0.3
351
Tumor
0.3
627
Tumor
0.3
665
Tumor
0.3
977
Tumor
0.3
954
Normal
0.3
724
Normal
0.3
433
Tumor
0.3
965
Tumor
0.3
913
Tumor
0.3
851
Tumor
0.3
923
Tumor
0.3
567
Tumor
0.3
926
Normal
0.3
491
Tumor
0.3
536
Normal
0.3
227
Tumor
0.2
473
Tumor
0.2
1032
Normal
0.2
452
Normal
0.2
445
Tumor
0.2
1014
Normal
0.2
921
Tumor
0.2
513
Tumor
0.2
467
Tumor
0.2
922
Normal
0.2
978
Normal
0.2
514
Normal
0.2
944
Normal
0.2
451
Tumor
0.2
938
Normal
0.2
127
Tumor
0.2
815
Tumor
0.2
647
Tumor
0.2
963
Tumor
0.2
728
Normal
0.2
982
Normal
0.2
257
Tumor
0.2
171
Tumor
0.2
277
Tumor
0.2
137
Tumor
0.2
558
Normal
0.2
518
Normal
0.2
723
Tumor
0.2
953
Tumor
0.2
286
Normal
0.2
744
Normal
0.2
387
Tumor
0.2
464
Normal
0.2
1015
Tumor
0.2
355
Tumor
0.2
868
Normal
0.2
497
Tumor
0.2
388
Normal
0.2
615
Tumor
0.2
328
Normal
0.2
113
Tumor
0.2
955
Tumor
0.2
1028
Normal
0.2
357
Tumor
0.2
466
Normal
0.2
392
Normal
0.2
228
Normal
0.2
914
Normal
0.1
952
Normal
0.1
327
Tumor
0.1
412
Normal
0.1
431
Tumor
0.1
231
Tumor
0.1
356
Normal
0.1
958
Normal
0.1
394
Normal
0.1
1045
Tumor
0.1
867
Tumor
0.1
258
Normal
0.1
568
Normal
0.1
911
Tumor
0.1
487
Tumor
0.1
213
Tumor
0.1
1016
Normal
0.1
554
Normal
0.1
696
Normal
0.1
813
Tumor
0.1
172
Normal
0.1
572
Normal
0.1
224
Normal
0.1
865
Tumor
0.1
284
Normal
0.1
1044
Normal
0.1
884
Normal
0.1
1042
Normal
0.1
852
Normal
0.1
866
Normal
0.1
916
Normal
0.1
478
Normal
0.1
564
Normal
0.1
361
Tumor
0.1
141
Tumor
0.1
232
Normal
0.1
968
Normal
0.1
924
Normal
0.1
697
Tumor
0.1
912
Normal
0.1
537
Tumor
0.1
516
Normal
0.1
983
Tumor
0.1
742
Normal
0.1
546
Normal
0.1
528
Normal
0.1
191
Tumor
0.1
268
Normal
0.1
777
Tumor
0.1
823
Tumor
0.1
314
Normal
0.1
1022
Normal
0.1
145
Tumor
0.1
128
Normal
0.1
881
Tumor
0.1
494
Normal
0.1
221
Tumor
0.1
864
Normal
0.1
943
Tumor
0.1
1046
Normal
0.1
283
Tumor
0.1
375
Tumor
0.1
538
Normal
0.1
493
Tumor
0.1
311
Tumor
0.1
878
Normal
0.1
267
Tumor
0.1
636
Normal
0.1
738
Normal
0.1
456
Normal
0.1
824
Normal
0.1
272
Normal
0.1
383
Tumor
0.1
126
Normal
0.1
956
Normal
0.1
755
Tumor
0.1
426
Normal
0.0
262
Normal
0.0
484
Normal
0.0
925
Tumor
0.0
365
Tumor
0.0
545
Tumor
0.0
217
Tumor
0.0
533
Tumor
0.0
524
Normal
0.0
468
Normal
0.0
188
Normal
0.0
376
Normal
0.0
1041
Tumor
0.0
862
Normal
0.0
672
Normal
0.0
195
Tumor
0.0
883
Tumor
0.0
526
Normal
0.0
917
Tumor
0.0
534
Normal
0.0
686
Normal
0.0
966
Normal
0.0
422
Normal
0.0
142
Normal
0.0
358
Normal
0.0
114
Normal
0.0
344
Normal
0.0
472
Normal
0.0
212
Normal
0.0
662
Normal
0.0
477
Tumor
0.0
882
Normal
0.0
465
Tumor
0.0
415
Tumor
0.0
214
Normal
0.0
874
Normal
0.0
525
Tumor
0.0
331
Tumor
0.0
715
Tumor
0.0
462
Normal
0.0
474
Normal
0.0
448
Normal
0.0
386
Normal
0.0
648
Normal
0.0
786
Normal
0.0
976
Normal
0.0
535
Tumor
0.0
628
Normal
0.0
362
Normal
0.0
1026
Normal
0.0
368
Normal
0.0
444
Normal
0.0
366
Normal
0.0
298
Normal
0.0
278
Normal
0.0
498
Normal
0.0
124
Normal
0.0
714
Normal
0.0
132
Normal
0.0
492
Normal
0.0
192
Normal
0.0
196
Normal
0.0
341
Tumor
0.0
396
Normal
0.0
353
Tumor
0.0
364
Normal
0.0
312
Normal
0.0
1043
Tumor
0.0
642
Normal
0.0
187
Tumor
0.0
737
Tumor
0.0
446
Normal
0.0
414
Normal
0.0
964
Normal
0.0
563
Tumor
0.0
616
Normal
0.0
951
Tumor
0.0
743
Tumor
0.0
816
Normal
0.0
716
Normal
0.0
342
Normal
0.0
218
Normal
0.0
436
Normal
0.0
515
Tumor
0.0
641
Tumor
0.0
663
Tumor
0.0
713
Tumor
0.0
722
Normal
-0.1
332
Normal
-0.1
416
Normal
-0.1
384
Normal
-0.1
756
Normal
-0.1
352
Normal
-0.1
136
Normal
-0.1
222
Normal
-0.1
161
Tumor
-0.1
423
Tumor
-0.1
664
Normal
-0.1
698
Normal
-0.1
618
Normal
-0.1
975
Tumor
-0.1
482
Normal
-0.1
111
Normal
-0.1
573
Tumor
-0.1
858
Normal
-0.1
814
Normal
-0.1
138
Normal
-0.1
553
Tumor
-0.1
343
Tumor
-0.1
125
Tumor
-0.1
817
Tumor
-0.1
818
Normal
-0.1
147
Tumor
-0.1
354
Normal
-0.1
162
Normal
-0.1
421
Tumor
-0.1
574
Normal
-0.1
778
Normal
-0.1
434
Normal
-0.1
447
Tumor
-0.1
746
Normal
-0.1
617
Tumor
-0.1
148
Normal
-0.1
463
Tumor
-0.1
427
Tumor
-0.1
695
Tumor
-0.1
185
Tumor
-0.1
661
Tumor
-0.1
483
Tumor
-0.1
186
Normal
-0.1
425
Tumor
-0.1
1021
Tumor
-0.1
211
Tumor
-0.1
428
Normal
-0.1
432
Normal
-0.2
455
Tumor
-0.2
488
Normal
-0.2
271
Tumor
-0.2
1025
Tumor
-0.2
367
Tumor
-0.2
666
Normal
-0.2
391
Tumor
-0.2
385
Tumor
-0.2
671
Tumor
-0.2
146
Normal
-0.2
443
Tumor
-0.2
424
Normal
-0.2
395
Tumor
-0.2
727
Tumor
-0.2
461
Tumor
-0.2
297
Tumor
-0.2
1031
Tumor
-0.3
223
Tumor
-0.3
413
Tumor
-0.3
523
Tumor
-0.3
363
Tumor
-0.3
285
Tumor
-0.3
877
Tumor
-0.3
471
Tumor
-0.3
967
Tumor
-0.4
517
Tumor
-0.5
131
Tumor
-0.9
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LIVER 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
