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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.
CFB 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 pTPM
1490.2
Number of samples
362
Samples
Sample
Description
pTPM
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
10875.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
9102.1
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
6203.5
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
5744.5
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
5709.3
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
4726.9
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
4700.3
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
4664.4
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
4387.2
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
4383.4
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
4347.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
4234.6
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
4121.0
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
4112.4
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
4061.4
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
3975.7
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
3923.7
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
3802.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3712.8
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
3692.1
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
3643.3
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
3574.5
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3558.4
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
3526.6
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
3521.4
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
3511.4
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
3365.3
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
3349.7
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
3316.3
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
3267.3
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
3256.3
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3194.7
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
3183.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
3182.3
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
3182.1
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
3015.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
2978.8
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
2943.7
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
2929.4
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
2928.9
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2882.9
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
2857.1
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
2809.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2755.4
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
2734.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
2723.7
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2679.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
2654.5
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
2630.4
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2625.4
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2619.1
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
2571.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
2538.5
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
2469.3
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
2455.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2439.6
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
2426.3
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
2418.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
2368.3
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
2359.1
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
2355.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
2350.8
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
2344.4
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
2341.7
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
2338.8
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
2322.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
2308.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
2296.8
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
2293.1
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2281.2
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2270.8
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
2263.3
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
2255.3
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
2246.1
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2214.1
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
2206.1
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
2160.9
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
2148.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2112.4
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
2101.4
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
2080.9
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
2058.6
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2047.8
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
2047.0
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2034.7
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
2029.3
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1992.0
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
1987.0
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
1977.6
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
1972.1
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1971.2
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
1957.5
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1950.1
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1938.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
1933.6
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1927.6
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1914.3
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
1907.2
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
1904.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1890.0
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
1881.1
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
1845.4
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
1842.7
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
1827.1
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
1801.8
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1798.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
1792.0
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
1791.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
1788.3
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1753.2
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
1728.9
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
1701.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1694.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
1691.7
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
1672.8
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
1664.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
1661.4
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
1660.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
1658.1
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
1632.0
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1631.1
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
1625.6
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
1617.2
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1616.2
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
1600.1
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
1571.5
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
1553.0
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
1549.5
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
1545.0
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
1538.8
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
1518.0
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
1515.5
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
1507.8
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1503.2
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
1478.2
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1477.1
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
1461.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
1460.3
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
1454.7
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1435.5
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1434.2
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
1433.3
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
1423.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
1420.6
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
1419.5
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1415.8
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
1408.9
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1405.0
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1402.4
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1398.6
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1397.7
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
1393.8
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
1392.1
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
1382.5
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1373.3
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
1372.2
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1363.3
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
1358.6
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
1355.6
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1353.2
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
1341.4
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1327.2
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1323.1
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
1315.3
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
1307.1
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1304.9
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
1300.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
1296.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
1294.3
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1290.9
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1290.1
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1289.0
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
1287.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
1279.7
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
1270.3
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
1257.7
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1232.3
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
1229.4
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
1226.0
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
1224.6
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
1207.2
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1200.8
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1197.1
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1195.2
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
1181.7
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
1174.9
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
1174.3
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
1171.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
1166.3
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
1162.4
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
1157.5
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
1151.4
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1150.2
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
1140.4
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1117.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
1115.8
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
1110.2
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1109.5
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
1108.8
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
1106.0
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
1105.7
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1092.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1090.7
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
1087.3
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
1087.0
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
1071.3
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1070.0
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
1063.1
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
1061.8
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
1061.7
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
1055.6
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1047.7
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
1038.2
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1031.8
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
1026.0
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
1020.9
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1019.1
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
996.5
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
989.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
988.8
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
974.4
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
967.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
960.4
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
951.3
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
948.9
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
948.6
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
943.3
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
937.3
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
937.3
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
931.1
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
930.4
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
929.9
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
929.5
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
920.7
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
917.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
915.6
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
889.1
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
884.5
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
879.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
866.4
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
864.2
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
864.2
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
859.8
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
839.0
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
837.0
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
821.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
817.5
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
815.2
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
808.1
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
799.5
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
799.4
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
793.1
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
788.1
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
782.5
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
750.1
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
733.8
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
731.6
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
730.2
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
723.8
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
714.2
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
702.0
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
699.2
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
698.6
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
698.5
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
683.6
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
682.7
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
677.6
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
676.2
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
672.1
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
668.6
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
661.7
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
659.5
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
650.9
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
639.5
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
633.9
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
631.3
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
620.4
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
612.6
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
593.5
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
588.2
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
574.3
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
562.3
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
555.7
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
549.8
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
548.2
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
530.5
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
530.4
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
529.8
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
528.6
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
517.8
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
512.2
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
511.4
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
506.3
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
504.6
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
496.9
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
496.7
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
490.4
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
489.5
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
476.1
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
473.1
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
469.2
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
465.3
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
463.5
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
462.0
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
439.7
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
430.4
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
428.0
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
425.6
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
421.4
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
415.4
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
405.0
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
397.5
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
383.8
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
378.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
364.9
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
362.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
345.8
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
343.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
343.2
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
342.0
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
340.0
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
328.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
328.1
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
308.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
302.1
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
302.0
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
301.4
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
284.9
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
276.6
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
269.1
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
266.2
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
253.3
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
243.5
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
235.3
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
233.8
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
231.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
203.3
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
191.3
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
191.0
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
188.0
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
187.4
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
181.2
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
179.2
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
168.3
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
158.3
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
156.0
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
137.8
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
125.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
122.2
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
121.9
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
119.8
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
104.8
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
93.1
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
90.3
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
75.1
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
72.8
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
52.0
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
39.1
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
18.0
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 days
17.2
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
10.8
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 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.
CFB is potential prognostic, high expression is favorable in Liver Hepatocellular Carcinoma (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 pTPM
2109.4
Number of samples
231
Samples
Sample
Description
pTPM
DO45199
86 years, female, NA, stage:2, alive, 1350 days
8784.4
DO45091
56 years, male, NA, stage:2, dead, 1320 days
8474.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
7686.3
DO48746
76 years, male, NA, stage:3, alive, 570 days
6658.9
DO23527
72 years, male, NA, stage:1, alive, 1050 days
6589.7
DO23518
67 years, male, NA, stage:2, alive, 1320 days
6270.6
DO50845
72 years, male, NA, stage:3, alive, 210 days
6142.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
5911.4
DO45094
76 years, male, NA, stage:3, alive, 1650 days
5424.4
DO48733
72 years, male, NA, stage:2, alive, 600 days
5259.5
DO45241
49 years, male, NA, stage:1, alive, 1080 days
4970.1
DO45225
69 years, male, NA, stage:1, alive, 1050 days
4941.6
DO23512
60 years, male, NA, stage:1, alive, 1260 days
4917.5
DO48716
71 years, male, NA, stage:2, alive, 720 days
4703.4
DO48723
73 years, male, NA, stage:1, alive, 600 days
4611.1
DO50811
62 years, male, NA, stage:1, alive, 450 days
4458.5
DO45141
73 years, male, NA, stage:2, alive, 1320 days
4454.2
DO45115
81 years, male, NA, stage:2, alive, 840 days
4319.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
4097.1
DO45237
58 years, male, NA, stage:2, alive, 900 days
4042.5
DO50798
77 years, male, NA, stage:3, dead, 30 days
3939.3
DO50807
67 years, male, NA, stage:1, alive, 540 days
3938.8
DO45255
81 years, male, NA, stage:3, alive, 720 days
3864.0
DO50819
72 years, female, NA, stage:2, alive, 510 days
3858.0
DO48760
70 years, female, NA, stage:2, alive, 690 days
3840.5
DO23516
69 years, male, NA, stage:3, dead, 20 days
3823.4
DO23537
79 years, male, NA, stage:2, dead, 900 days
3812.6
DO45257
46 years, male, NA, stage:3, alive, 810 days
3795.8
DO23551
73 years, male, NA, stage:3, dead, 150 days
3730.8
DO45247
31 years, female, NA, stage:2, alive, 210 days
3717.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
3656.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
3643.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
3554.3
DO23548
78 years, female, NA, stage:1, alive, 840 days
3552.2
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3518.2
DO227643
79 years, male, NA, stage:2, alive, 1260 days
3505.7
DO50818
65 years, male, NA, stage:2, alive, 510 days
3388.4
DO45263
67 years, male, NA, stage:3, dead, 270 days
3314.4
DO50832
73 years, male, NA, stage:3, alive, 90 days
3283.5
DO45227
57 years, female, NA, stage:2, alive, 1020 days
3241.5
DO50783
62 years, male, NA, stage:3, alive, 480 days
3182.2
DO23528
45 years, female, NA, stage:2, alive, 1020 days
3175.5
DO23544
67 years, male, NA, stage:2, alive, 960 days
3162.0
DO45261
74 years, male, NA, stage:3, alive, 990 days
3145.4
DO45231
84 years, male, NA, stage:2, alive, 930 days
3139.0
DO50789
73 years, female, NA, stage:2, alive, 570 days
3103.3
DO50806
70 years, male, NA, stage:4, alive, 540 days
3102.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
3100.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
3054.6
DO45113
58 years, male, NA, stage:3, alive, 1560 days
3041.8
DO23538
67 years, male, NA, stage:2, alive, 450 days
3031.6
DO48725
66 years, male, NA, stage:1, alive, 780 days
3019.1
DO48677
58 years, male, NA, stage:3, alive, 1140 days
3010.7
DO48712
50 years, male, NA, stage:2, alive, 810 days
2997.6
DO45159
65 years, male, NA, stage:3, alive, 1470 days
2986.8
DO48672
81 years, male, NA, stage:2, alive, 450 days
2914.2
DO23529
72 years, male, NA, stage:4, alive, 930 days
2873.6
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2849.8
DO45179
78 years, female, NA, stage:2, alive, 600 days
2826.4
DO45207
68 years, male, NA, stage:1, alive, 1050 days
2819.3
DO45197
51 years, male, NA, stage:2, alive, 1170 days
2747.8
DO48704
68 years, female, NA, stage:3, alive, 750 days
2709.1
DO23536
56 years, male, NA, stage:2, alive, 930 days
2699.9
DO50787
63 years, male, NA, stage:3, alive, 480 days
2692.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
2687.9
DO45203
71 years, female, NA, stage:2, alive, 1170 days
2681.6
DO45099
46 years, male, NA, stage:3, alive, 1590 days
2651.6
DO48717
54 years, male, NA, stage:4, dead, 180 days
2644.5
DO23532
71 years, female, NA, stage:1, alive, 960 days
2625.5
DO23531
78 years, female, NA, stage:3, alive, 900 days
2617.3
DO45097
69 years, male, NA, stage:3, alive, 1620 days
2576.9
DO227801
77 years, female, NA, stage:1, alive, 660 days
2574.1
DO45096
69 years, male, NA, stage:2, dead, 1290 days
2562.6
DO48721
58 years, female, NA, stage:1, alive, 900 days
2518.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
2494.5
DO50804
81 years, male, NA, stage:2, alive, 720 days
2481.0
DO48701
78 years, male, NA, stage:2, alive, 780 days
2479.6
DO23552
80 years, female, NA, stage:1, alive, 810 days
2466.5
DO50813
56 years, male, NA, stage:2, alive, 420 days
2458.2
DO45161
74 years, male, NA, stage:2, dead, 540 days
2440.1
DO45249
57 years, male, NA, stage:1, alive, 630 days
2417.6
DO48693
71 years, male, NA, stage:2, alive, 900 days
2335.0
DO45265
73 years, male, NA, stage:3, alive, 1020 days
2302.1
DO48743
69 years, female, NA, stage:2, alive, 570 days
2275.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
2272.2
DO23543
63 years, male, NA, stage:2, alive, 1020 days
2252.7
DO45117
73 years, female, NA, stage:2, dead, 1110 days
2242.2
DO45123
78 years, female, NA, stage:2, dead, 570 days
2234.2
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2197.9
DO45195
62 years, male, NA, stage:1, alive, 390 days
2196.4
DO23534
60 years, male, NA, stage:2, alive, 840 days
2193.4
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2126.3
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2121.9
DO45092
62 years, male, NA, stage:4, dead, 1200 days
2096.5
DO48674
80 years, male, NA, stage:2, alive, 1260 days
2095.9
DO23525
71 years, male, NA, stage:4, alive, 1050 days
2090.7
DO45135
77 years, male, NA, stage:1, alive, 1410 days
2088.3
DO45229
74 years, male, NA, stage:1, alive, 990 days
2083.4
DO50774
68 years, female, NA, stage:2, alive, 720 days
2029.3
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1999.3
DO50817
75 years, male, NA, stage:2, alive, 390 days
1993.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
1983.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
1982.8
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1978.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
1970.7
DO45187
32 years, female, NA, stage:1, alive, 1260 days
1966.8
DO45239
42 years, male, NA, stage:2, alive, 870 days
1943.3
DO23533
61 years, male, NA, stage:2, alive, 900 days
1942.8
DO48727
81 years, female, NA, stage:2, dead, 390 days
1942.4
DO45105
61 years, male, NA, stage:1, alive, 1680 days
1936.4
DO48759
73 years, male, NA, stage:3, alive, 720 days
1933.4
DO48719
80 years, male, NA, stage:2, alive, 690 days
1910.5
DO45213
58 years, male, NA, stage:1, alive, 1200 days
1908.1
DO50857
72 years, male, NA, stage:2, alive, 210 days
1878.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
1832.1
DO23549
74 years, male, NA, stage:3, alive, 990 days
1829.1
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1826.5
DO45177
81 years, female, NA, stage:3, alive, 1260 days
1818.8
DO50822
66 years, male, NA, stage:2, alive, 510 days
1798.5
DO50839
47 years, female, NA, stage:3, alive, 330 days
1786.5
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1785.5
DO45235
68 years, female, NA, stage:1, alive, 900 days
1773.0
DO45201
49 years, male, NA, stage:1, alive, 900 days
1759.5
DO45163
76 years, male, NA, stage:2, alive, 960 days
1756.7
DO23545
67 years, male, NA, stage:2, dead, 570 days
1724.6
DO23511
83 years, female, NA, stage:3, dead, 180 days
1706.8
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1706.3
DO45221
75 years, female, NA, stage:4, dead, 390 days
1704.2
DO45125
58 years, male, NA, stage:3, alive, 1680 days
1687.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
1667.8
DO23510
80 years, female, NA, stage:2, alive, 870 days
1621.3
DO23514
64 years, male, NA, stage:2, alive, 1290 days
1620.1
DO45233
83 years, male, NA, stage:3, alive, 900 days
1604.6
DO45173
63 years, male, NA, stage:3, alive, 1170 days
1587.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
1578.1
DO45305
66 years, male, NA, stage:4, alive, 300 days
1527.0
DO48761
55 years, male, NA, stage:2, alive, 870 days
1522.1
DO50850
74 years, male, NA, stage:3, alive, 720 days
1509.8
DO45155
69 years, male, NA, stage:2, alive, 2160 days
1489.2
DO48737
52 years, male, NA, stage:1, alive, 720 days
1485.6
DO48720
62 years, female, NA, stage:2, alive, 570 days
1479.7
DO45253
50 years, male, NA, stage:2, alive, 870 days
1470.6
DO50802
49 years, male, NA, stage:2, alive, 930 days
1461.5
DO23541
65 years, male, NA, stage:2, alive, 930 days
1458.7
DO48679
72 years, male, NA, stage:2, alive, 1200 days
1458.0
DO48700
78 years, female, NA, stage:2, alive, 810 days
1431.6
DO45269
59 years, male, NA, stage:3, alive, 750 days
1425.3
DO48695
77 years, male, NA, stage:2, alive, 720 days
1419.6
DO48697
64 years, female, NA, stage:2, dead, 810 days
1387.9
DO48732
73 years, male, NA, stage:3, alive, 630 days
1373.7
DO23546
63 years, male, NA, stage:2, alive, 1050 days
1363.3
DO45169
74 years, male, NA, stage:3, alive, 1350 days
1361.5
DO50825
70 years, male, NA, stage:2, alive, 390 days
1361.5
DO50859
77 years, male, NA, stage:2, alive, 180 days
1346.1
DO23535
67 years, male, NA, stage:1, alive, 960 days
1321.2
DO45157
62 years, male, NA, stage:2, alive, 1980 days
1303.6
DO45219
78 years, male, NA, stage:2, alive, 1080 days
1302.1
DO50793
76 years, male, NA, stage:4, alive, 540 days
1277.0
DO50785
37 years, male, NA, stage:4, dead, 90 days
1269.7
DO45119
74 years, male, NA, stage:3, dead, 510 days
1247.4
DO23540
73 years, male, NA, stage:1, alive, 750 days
1227.8
DO48706
72 years, male, NA, stage:2, alive, 870 days
1207.0
DO50816
63 years, male, NA, stage:2, alive, 390 days
1190.7
DO45137
38 years, male, NA, stage:1, alive, 1320 days
1186.7
DO48730
73 years, female, NA, stage:2, alive, 630 days
1172.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
1135.2
DO50814
83 years, male, NA, stage:3, alive, 420 days
1118.9
DO50820
77 years, female, NA, stage:3, alive, 510 days
1115.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
1112.9
DO45139
63 years, male, NA, stage:3, alive, 1320 days
1073.8
DO23539
77 years, male, NA, stage:1, alive, 1110 days
1064.3
DO45191
61 years, female, NA, stage:2, alive, 1200 days
1040.0
DO23515
71 years, male, NA, stage:2, alive, 1230 days
1032.7
DO48681
57 years, male, NA, stage:2, alive, 900 days
1030.8
DO45145
78 years, male, NA, stage:3, dead, 60 days
991.7
DO45289
78 years, female, NA, stage:3, alive, 360 days
986.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
964.2
DO45243
74 years, female, NA, stage:3, alive, 930 days
952.7
DO23542
66 years, male, NA, stage:3, alive, 960 days
933.3
DO45223
67 years, male, NA, stage:4, alive, 1020 days
928.5
DO50855
47 years, male, NA, stage:2, alive, 570 days
918.6
DO23508
79 years, female, NA, stage:2, alive, 390 days
905.9
DO45281
83 years, male, NA, stage:4, alive, 750 days
904.8
DO45303
62 years, female, NA, stage:3, alive, 990 days
883.0
DO50815
62 years, male, NA, stage:3, alive, 150 days
847.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
828.9
DO45133
64 years, male, NA, stage:3, dead, 660 days
806.3
DO45283
60 years, male, NA, stage:3, alive, 510 days
800.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
772.5
DO45183
72 years, female, NA, stage:2, dead, 570 days
771.2
DO48741
64 years, male, NA, stage:3, alive, 240 days
751.9
DO23521
63 years, male, NA, stage:3, alive, 1110 days
737.2
DO48736
76 years, female, NA, stage:1, alive, 600 days
723.9
DO50791
79 years, female, NA, stage:1, dead, 480 days
701.5
DO45267
73 years, male, NA, stage:3, dead, 570 days
701.5
DO48715
58 years, female, NA, stage:2, dead, 690 days
701.4
DO23530
53 years, male, NA, stage:4, dead, 180 days
657.2
DO45287
74 years, male, NA, stage:1, alive, 390 days
623.6
DO45165
75 years, male, NA, stage:2, alive, 690 days
606.5
DO23519
65 years, male, NA, stage:3, alive, 630 days
583.2
DO45217
69 years, female, NA, stage:3, dead, 270 days
574.8
DO23547
74 years, male, NA, stage:1, alive, 1020 days
571.4
DO45171
56 years, male, NA, stage:3, alive, 600 days
568.0
DO50844
75 years, male, NA, stage:4, alive, 300 days
561.9
DO45285
59 years, male, NA, stage:3, alive, 480 days
509.6
DO48682
72 years, female, NA, stage:3, dead, 120 days
505.7
DO48757
68 years, female, NA, stage:3, alive, 480 days
492.1
DO45185
89 years, male, NA, stage:2, alive, 600 days
490.4
DO48747
62 years, male, NA, stage:3, alive, 540 days
488.5
DO45193
68 years, female, NA, stage:4, dead, 120 days
465.0
DO45297
61 years, female, NA, stage:4, dead, 1260 days
463.5
DO23526
66 years, male, NA, stage:3, alive, 1050 days
435.0
DO50829
78 years, male, NA, stage:3, alive, 570 days
423.6
DO45301
56 years, male, NA, stage:2, dead, 1440 days
419.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
414.1
DO45279
67 years, male, NA, stage:3, alive, 1290 days
398.5
DO45275
65 years, male, NA, stage:3, dead, 10 days
394.0
DO50778
60 years, male, NA, stage:4, alive, 630 days
376.1
DO45131
53 years, male, NA, stage:4, dead, 360 days
320.3
DO45251
57 years, female, NA, stage:2, alive, 900 days
274.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
229.9
DO48751
68 years, male, NA, stage:2, dead, 480 days
210.7
DO45259
65 years, male, NA, stage:3, alive, 330 days
198.4
DO45245
75 years, female, NA, stage:2, dead, 240 days
140.3
DO23513
76 years, male, NA, stage:3, alive, 1200 days
132.6
DO45307
54 years, female, NA, stage:4, dead, 240 days
113.4
DO45205
67 years, female, NA, stage:2, dead, 90 days
78.3
DO45299
70 years, female, NA, stage:1, alive, 1440 days
58.2
DO45211
76 years, male, NA, stage:3, alive, 240 days
52.5
DO23523
52 years, male, NA, stage:3, alive, 1080 days
24.5
DO45189
85 years, female, NA, stage:2, alive, 1200 days
19.0
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
877
Tumor
1.8
343
Tumor
1.5
937
Tumor
1.3
425
Tumor
1.3
395
Tumor
1.1
823
Tumor
1.1
557
Tumor
0.9
777
Tumor
0.9
192
Normal
0.9
393
Tumor
0.8
375
Tumor
0.8
697
Tumor
0.8
112
Tumor
0.8
113
Tumor
0.8
525
Tumor
0.8
671
Tumor
0.8
863
Tumor
0.8
553
Tumor
0.8
467
Tumor
0.8
1015
Tumor
0.7
523
Tumor
0.7
785
Tumor
0.7
1045
Tumor
0.7
635
Tumor
0.7
665
Tumor
0.7
545
Tumor
0.7
217
Tumor
0.6
517
Tumor
0.6
497
Tumor
0.6
498
Normal
0.6
355
Tumor
0.6
526
Normal
0.6
857
Tumor
0.6
218
Normal
0.6
778
Normal
0.6
223
Tumor
0.5
817
Tumor
0.5
524
Normal
0.5
713
Tumor
0.5
695
Tumor
0.5
535
Tumor
0.5
191
Tumor
0.5
715
Tumor
0.5
745
Tumor
0.4
975
Tumor
0.4
536
Normal
0.4
396
Normal
0.4
538
Normal
0.4
285
Tumor
0.4
492
Normal
0.4
224
Normal
0.4
514
Normal
0.4
573
Tumor
0.4
916
Normal
0.4
883
Tumor
0.4
195
Tumor
0.3
344
Normal
0.3
391
Tumor
0.3
455
Tumor
0.3
1025
Tumor
0.3
527
Tumor
0.3
696
Normal
0.3
286
Normal
0.3
433
Tumor
0.3
977
Tumor
0.3
392
Normal
0.3
368
Normal
0.3
884
Normal
0.3
615
Tumor
0.3
353
Tumor
0.2
444
Normal
0.2
951
Tumor
0.2
746
Normal
0.2
967
Tumor
0.2
915
Tumor
0.2
672
Normal
0.2
874
Normal
0.2
813
Tumor
0.2
327
Tumor
0.2
938
Normal
0.2
546
Normal
0.2
135
Tumor
0.2
491
Tumor
0.2
212
Normal
0.2
558
Normal
0.2
917
Tumor
0.2
363
Tumor
0.2
1028
Normal
0.2
686
Normal
0.2
367
Tumor
0.2
384
Normal
0.2
952
Normal
0.2
452
Normal
0.2
364
Normal
0.2
383
Tumor
0.2
873
Tumor
0.2
881
Tumor
0.1
352
Normal
0.1
141
Tumor
0.1
471
Tumor
0.1
461
Tumor
0.1
1027
Tumor
0.1
953
Tumor
0.1
1041
Tumor
0.1
723
Tumor
0.1
878
Normal
0.1
187
Tumor
0.1
228
Normal
0.1
1046
Normal
0.1
981
Tumor
0.1
851
Tumor
0.1
513
Tumor
0.1
968
Normal
0.1
474
Normal
0.1
958
Normal
0.1
487
Tumor
0.1
528
Normal
0.1
755
Tumor
0.1
924
Normal
0.1
957
Tumor
0.1
423
Tumor
0.1
636
Normal
0.1
493
Tumor
0.1
865
Tumor
0.1
488
Normal
0.1
448
Normal
0.1
568
Normal
0.1
431
Tumor
0.1
1044
Normal
0.1
227
Tumor
0.1
145
Tumor
0.1
954
Normal
0.1
983
Tumor
0.1
447
Tumor
0.1
554
Normal
0.0
956
Normal
0.0
1022
Normal
0.0
923
Tumor
0.0
866
Normal
0.0
414
Normal
0.0
261
Tumor
0.0
421
Tumor
0.0
982
Normal
0.0
574
Normal
0.0
563
Tumor
0.0
685
Tumor
0.0
786
Normal
0.0
741
Tumor
0.0
376
Normal
0.0
1026
Normal
0.0
1043
Tumor
0.0
111
Normal
0.0
647
Tumor
0.0
394
Normal
0.0
816
Normal
0.0
142
Normal
0.0
926
Normal
0.0
728
Normal
-0.1
1016
Normal
-0.1
716
Normal
-0.1
283
Tumor
-0.1
756
Normal
-0.1
955
Tumor
-0.1
721
Tumor
-0.1
815
Tumor
-0.1
861
Tumor
-0.1
642
Normal
-0.1
341
Tumor
-0.1
922
Normal
-0.1
862
Normal
-0.1
284
Normal
-0.1
618
Normal
-0.1
494
Normal
-0.1
484
Normal
-0.1
148
Normal
-0.1
297
Tumor
-0.1
365
Tumor
-0.1
925
Tumor
-0.1
742
Normal
-0.1
1021
Tumor
-0.1
146
Normal
-0.1
277
Tumor
-0.1
918
Normal
-0.1
858
Normal
-0.1
426
Normal
-0.1
722
Normal
-0.1
196
Normal
-0.1
868
Normal
-0.1
572
Normal
-0.1
386
Normal
-0.1
443
Tumor
-0.1
666
Normal
-0.1
744
Normal
-0.1
424
Normal
-0.1
232
Normal
-0.1
451
Tumor
-0.1
662
Normal
-0.2
468
Normal
-0.2
714
Normal
-0.2
727
Tumor
-0.2
257
Tumor
-0.2
564
Normal
-0.2
385
Tumor
-0.2
354
Normal
-0.2
852
Normal
-0.2
966
Normal
-0.2
124
Normal
-0.2
328
Normal
-0.2
472
Normal
-0.2
648
Normal
-0.2
465
Tumor
-0.2
415
Tumor
-0.2
663
Tumor
-0.2
483
Tumor
-0.2
984
Normal
-0.2
818
Normal
-0.2
921
Tumor
-0.2
882
Normal
-0.2
978
Normal
-0.2
358
Normal
-0.2
1014
Normal
-0.2
976
Normal
-0.2
138
Normal
-0.2
571
Tumor
-0.2
515
Tumor
-0.2
738
Normal
-0.2
312
Normal
-0.2
534
Normal
-0.2
641
Tumor
-0.2
221
Tumor
-0.2
147
Tumor
-0.2
518
Normal
-0.2
814
Normal
-0.2
466
Normal
-0.2
1042
Normal
-0.2
416
Normal
-0.3
422
Normal
-0.3
161
Tumor
-0.3
137
Tumor
-0.3
136
Normal
-0.3
126
Normal
-0.3
477
Tumor
-0.3
185
Tumor
-0.3
462
Normal
-0.3
737
Tumor
-0.3
963
Tumor
-0.3
664
Normal
-0.3
356
Normal
-0.3
867
Tumor
-0.3
214
Normal
-0.3
864
Normal
-0.3
342
Normal
-0.3
824
Normal
-0.3
616
Normal
-0.3
188
Normal
-0.3
943
Tumor
-0.3
268
Normal
-0.3
478
Normal
-0.3
213
Tumor
-0.3
222
Normal
-0.3
311
Tumor
-0.3
162
Normal
-0.3
432
Normal
-0.3
262
Normal
-0.3
434
Normal
-0.3
914
Normal
-0.3
436
Normal
-0.3
388
Normal
-0.3
186
Normal
-0.3
258
Normal
-0.3
456
Normal
-0.3
944
Normal
-0.3
617
Tumor
-0.3
131
Tumor
-0.3
516
Normal
-0.4
332
Normal
-0.4
964
Normal
-0.4
446
Normal
-0.4
412
Normal
-0.4
464
Normal
-0.4
698
Normal
-0.4
361
Tumor
-0.4
567
Tumor
-0.4
912
Normal
-0.4
351
Tumor
-0.4
413
Tumor
-0.4
913
Tumor
-0.4
267
Tumor
-0.4
627
Tumor
-0.4
628
Normal
-0.4
132
Normal
-0.5
114
Normal
-0.5
463
Tumor
-0.5
428
Normal
-0.5
362
Normal
-0.5
211
Tumor
-0.5
724
Normal
-0.5
481
Tumor
-0.5
411
Tumor
-0.6
387
Tumor
-0.6
482
Normal
-0.6
314
Normal
-0.6
272
Normal
-0.6
661
Tumor
-0.6
366
Normal
-0.6
298
Normal
-0.6
743
Tumor
-0.6
128
Normal
-0.6
1013
Tumor
-0.6
172
Normal
-0.6
911
Tumor
-0.6
427
Tumor
-0.6
435
Tumor
-0.6
533
Tumor
-0.6
331
Tumor
-0.6
473
Tumor
-0.7
125
Tumor
-0.7
537
Tumor
-0.7
127
Tumor
-0.7
965
Tumor
-0.7
278
Normal
-0.7
231
Tumor
-0.7
445
Tumor
-0.7
1032
Normal
-0.8
123
Tumor
-0.8
357
Tumor
-0.9
271
Tumor
-1.0
171
Tumor
-1.1
1031
Tumor
-1.1
313
Tumor
-1.1
Show allShow less
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
