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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.
HPX is validated prognostic, high expression is favorable 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
1427.5
Number of samples
362
Samples
Sample
Description
TPM
TCGA-ZP-A9D0-01A
67 years, female, black or african american, stage:'--, alive, 1091 days
5396.5
TCGA-HP-A5N0-01A
90 years, female, stage:'--, dead, 752 days
4847.8
TCGA-G3-A7M5-01A
76 years, male, asian, stage:Stage I, alive, 447 days
4616.5
TCGA-DD-A11D-01A
57 years, female, white, stage:Stage I, dead, 1560 days
4500.3
TCGA-2Y-A9GZ-01A
82 years, female, white, stage:Stage II, dead, 848 days
4427.2
TCGA-DD-A118-01A
77 years, female, white, stage:Stage II, alive, 3437 days
4347.8
TCGA-ES-A2HT-01A
54 years, male, black or african american, stage:Stage I, dead, 438 days
4323.8
TCGA-BC-A69I-01A
69 years, male, white, stage:Stage I, alive, 387 days
4113.5
TCGA-K7-A5RF-01A
64 years, male, white, stage:Stage I, alive, 631 days
4108.3
TCGA-DD-A4NP-01A
32 years, male, white, stage:Stage I, alive, 3308 days
4092.9
TCGA-DD-A4NL-01A
46 years, male, white, stage:Stage I, alive, 1711 days
4056.5
TCGA-G3-A7M8-01A
31 years, male, asian, stage:Stage I, alive, 430 days
3917.0
TCGA-ZP-A9CY-01A
66 years, female, white, stage:'--, alive, 782 days
3897.4
TCGA-LG-A6GG-01A
79 years, female, white, stage:Stage II, alive, 387 days
3876.7
TCGA-2Y-A9GV-01A
54 years, female, white, stage:Stage I, dead, 2532 days
3765.7
TCGA-BC-A110-01A
51 years, female, black or african american, stage:'--, dead, 2116 days
3743.2
TCGA-G3-AAV2-01A
50 years, male, white, stage:Stage I, alive, 372 days
3734.5
TCGA-G3-A5SM-01A
58 years, male, white, stage:Stage II, alive, 520 days
3673.4
TCGA-DD-AAE7-01A
72 years, male, asian, stage:Stage I, alive, 644 days
3664.8
TCGA-G3-A6UC-01A
65 years, male, white, stage:Stage IIIB, alive, 671 days
3544.9
TCGA-2Y-A9H8-01A
85 years, female, white, stage:'--, dead, 633 days
3523.1
TCGA-G3-A5SI-01A
44 years, male, asian, stage:Stage II, dead, 768 days
3494.3
TCGA-DD-A3A5-01A
66 years, female, white, stage:Stage III, dead, 3125 days
3422.5
TCGA-DD-A4NO-01A
65 years, male, white, stage:Stage I, alive, 2245 days
3422.1
TCGA-LG-A9QD-01A
68 years, male, white, stage:Stage IIIA, alive, 366 days
3325.8
TCGA-DD-AAC9-01A
51 years, male, asian, stage:Stage I, alive, 347 days
3321.6
TCGA-DD-A4NK-01A
80 years, female, white, stage:Stage IIIA, dead, 1210 days
3298.7
TCGA-2Y-A9GT-01A
51 years, male, white, stage:Stage I, dead, 1624 days
3282.0
TCGA-ZS-A9CE-01A
79 years, female, white, stage:Stage II, alive, 1241 days
3222.3
TCGA-G3-A3CK-01A
61 years, male, asian, stage:Stage I, alive, 585 days
3202.3
TCGA-2Y-A9H6-01A
68 years, female, white, stage:Stage I, alive, 357 days
3163.0
TCGA-BC-A10X-01A
52 years, female, white, stage:Stage IIIA, dead, 770 days
3125.0
TCGA-UB-AA0V-01A
69 years, female, white, stage:Stage I, alive, 314 days
3122.9
TCGA-ZP-A9D1-01A
56 years, female, white, stage:'--, alive, 21 days
3120.1
TCGA-2Y-A9H3-01A
45 years, male, white, stage:Stage II, alive, 1516 days
3055.5
TCGA-G3-A5SK-01A
58 years, male, white, stage:Stage I, alive, 744 days
3032.0
TCGA-2Y-A9HB-01A
66 years, male, stage:Stage I, alive, 260 days
3030.8
TCGA-FV-A3R3-01A
38 years, female, white, stage:Stage I, dead, 366 days
3026.3
TCGA-2Y-A9H9-01A
70 years, male, white, stage:Stage I, alive, 697 days
3020.8
TCGA-DD-AAD3-01A
43 years, male, asian, stage:Stage I, alive, 1295 days
3016.9
TCGA-DD-AADK-01A
68 years, female, asian, stage:Stage II, alive, 1049 days
2946.0
TCGA-DD-A4ND-01A
56 years, female, white, stage:Stage I, alive, 2746 days
2929.3
TCGA-DD-A1ED-01A
68 years, male, white, stage:Stage I, alive, 2301 days
2927.6
TCGA-G3-AAV0-01A
58 years, male, asian, stage:Stage I, alive, 476 days
2851.5
TCGA-G3-A25Z-01A
58 years, male, asian, stage:Stage I, alive, 655 days
2819.1
TCGA-2Y-A9GU-01A
55 years, female, white, stage:Stage I, alive, 1939 days
2807.2
TCGA-MR-A520-01A
58 years, male, white, stage:Stage I, alive, 229 days
2799.2
TCGA-G3-A3CG-01A
80 years, male, white, stage:Stage I, alive, 673 days
2797.7
TCGA-ED-A7XO-01A
29 years, male, asian, stage:Stage IIIA, alive, 427 days
2732.8
TCGA-FV-A23B-01A
70 years, female, white, stage:Stage II, dead, 1852 days
2689.7
TCGA-DD-A3A4-01A
37 years, male, white, stage:Stage IIIA, dead, 612 days
2681.3
TCGA-DD-A11B-01A
73 years, male, white, stage:Stage I, dead, 14 days
2680.9
TCGA-5R-AAAM-01A
65 years, female, white, stage:Stage II, dead, 46 days
2660.0
TCGA-DD-AACY-01A
61 years, male, asian, stage:Stage I, alive, 1450 days
2653.6
TCGA-ED-A627-01A
74 years, male, white, stage:Stage I, alive, 423 days
2635.8
TCGA-K7-A6G5-01A
66 years, male, white, stage:Stage I, alive, 512 days
2614.6
TCGA-DD-A11C-01A
69 years, male, white, stage:Stage I, alive, 662 days
2583.1
TCGA-DD-A73C-01A
65 years, female, white, stage:Stage IIIA, alive, 701 days
2574.5
TCGA-DD-AAVZ-01A
38 years, male, asian, stage:Stage I, alive, 1900 days
2516.8
TCGA-DD-A73G-01A
73 years, female, white, stage:Stage I, alive, 3478 days
2503.9
TCGA-G3-A25V-01A
68 years, male, white, stage:Stage I, alive, 860 days
2498.9
TCGA-BD-A3EP-01A
75 years, female, black or african american, stage:Stage I, alive, 409 days
2496.2
TCGA-DD-AADG-01A
70 years, male, asian, stage:Stage IIIA, alive, 1145 days
2463.2
TCGA-DD-AAVY-01A
56 years, male, asian, stage:Stage IIIA, alive, 1970 days
2434.1
TCGA-UB-A7MD-01A
67 years, male, black or african american, stage:Stage I, dead, 52 days
2402.4
TCGA-G3-A7M7-01A
65 years, male, white, stage:Stage I, alive, 361 days
2393.0
TCGA-FV-A3I1-01A
81 years, female, white, stage:Stage II, dead, 247 days
2389.6
TCGA-DD-AACC-01A
61 years, male, asian, stage:Stage I, dead, 1685 days
2351.5
TCGA-G3-A3CI-01A
71 years, male, white, stage:Stage I, alive, 180 days
2317.6
TCGA-DD-A113-01A
55 years, female, white, stage:Stage II, alive, 2425 days
2276.2
TCGA-MI-A75E-01A
61 years, male, white, stage:Stage IIIC, alive, 507 days
2253.4
TCGA-DD-AAE3-01A
50 years, male, asian, stage:Stage I, alive, 566 days
2244.2
TCGA-UB-A7ME-01A
51 years, male, asian, stage:Stage I, alive, 486 days
2241.5
TCGA-DD-AADY-01A
55 years, female, asian, stage:Stage I, alive, 555 days
2238.9
TCGA-DD-AACF-01A
68 years, male, asian, stage:Stage I, dead, 365 days
2237.8
TCGA-2Y-A9H4-01A
68 years, male, black or african american, stage:Stage I, alive, 1452 days
2197.2
TCGA-DD-A3A8-01A
75 years, male, white, stage:Stage II, dead, 11 days
2190.9
TCGA-DD-A1EG-01A
76 years, male, white, stage:Stage I, dead, 1372 days
2188.4
TCGA-DD-A3A3-01A
45 years, male, asian, stage:Stage I, dead, 535 days
2186.6
TCGA-BC-A10Y-01A
76 years, male, white, stage:'--, dead, 711 days
2178.7
TCGA-DD-AADS-01A
63 years, male, asian, stage:Stage I, alive, 474 days
2177.8
TCGA-O8-A75V-01A
54 years, male, stage:Stage I, alive, 538 days
2164.7
TCGA-DD-AAW1-01A
55 years, male, asian, stage:Stage IIIA, alive, 1989 days
2162.5
TCGA-UB-AA0U-01A
60 years, male, white, stage:Stage II, alive, 327 days
2116.5
TCGA-DD-AADM-01A
58 years, male, asian, stage:Stage II, dead, 12 days
2097.6
TCGA-DD-A4NI-01A
67 years, male, white, stage:Stage II, alive, 816 days
2070.3
TCGA-CC-A7IH-01A
58 years, male, asian, stage:Stage IIIA, alive, 365 days
2053.3
TCGA-BD-A3ER-01A
62 years, male, white, stage:Stage II, alive, 1115 days
2037.1
TCGA-DD-AADV-01A
50 years, male, asian, stage:Stage I, alive, 574 days
2031.8
TCGA-ZS-A9CD-01A
73 years, male, white, stage:Stage II, dead, 1386 days
2018.1
TCGA-BD-A2L6-01A
69 years, male, white, stage:'--, alive, 1363 days
2006.4
TCGA-2Y-A9GX-01A
68 years, male, white, stage:Stage I, alive, 2442 days
2003.6
TCGA-DD-A119-01A
40 years, male, asian, stage:Stage IV, dead, 223 days
1999.9
TCGA-2Y-A9GW-01A
64 years, male, white, stage:Stage I, dead, 1271 days
1985.9
TCGA-WQ-AB4B-01A
62 years, male, white, stage:Stage II, alive, 395 days
1964.5
TCGA-DD-AAE4-01A
49 years, female, asian, stage:Stage I, alive, 608 days
1951.6
TCGA-DD-A1EI-01A
46 years, male, asian, stage:Stage I, alive, 183 days
1948.6
TCGA-ED-A4XI-01A
58 years, male, asian, stage:Stage II, alive, 819 days
1948.2
TCGA-ED-A459-01A
47 years, male, asian, stage:Stage II, alive, 910 days
1941.5
TCGA-RC-A7S9-01A
47 years, female, asian, stage:Stage I, alive, 640 days
1941.1
TCGA-DD-AADQ-01A
59 years, male, asian, stage:Stage II, alive, 436 days
1940.1
TCGA-G3-AAUZ-01A
48 years, male, stage:Stage I, alive, 480 days
1936.0
TCGA-DD-AADA-01A
66 years, female, asian, stage:Stage I, alive, 1233 days
1926.1
TCGA-DD-AAVX-01A
38 years, male, asian, stage:Stage II, alive, 1718 days
1924.0
TCGA-DD-AADR-01A
58 years, male, asian, stage:Stage I, alive, 2028 days
1920.1
TCGA-FV-A2QR-01A
75 years, male, white, stage:Stage I, dead, 581 days
1913.7
TCGA-G3-A25S-01A
64 years, male, white, stage:Stage I, dead, 416 days
1912.5
TCGA-DD-A73F-01A
77 years, female, white, stage:Stage I, alive, 1085 days
1909.6
TCGA-HP-A5MZ-01A
78 years, male, stage:Stage I, dead, 91 days
1900.6
TCGA-RC-A6M5-01A
20 years, female, white, stage:Stage IVA, alive, 15 days
1876.7
TCGA-PD-A5DF-01A
58 years, female, white, stage:Stage IIIB, dead, 639 days
1874.7
TCGA-DD-AAW0-01A
54 years, male, asian, stage:Stage I, alive, 2015 days
1869.1
TCGA-4R-AA8I-01A
66 years, male, white, stage:Stage II, dead, 262 days
1849.0
TCGA-WX-AA46-01A
61 years, male, white, stage:Stage II, alive, 756 days
1833.9
TCGA-BC-A10S-01A
81 years, male, white, stage:'--, dead, 1423 days
1817.9
TCGA-BC-A10R-01A
66 years, female, white, stage:'--, dead, 308 days
1805.9
TCGA-DD-A1EB-01A
72 years, female, stage:Stage I, alive, 2017 days
1797.0
TCGA-ES-A2HS-01A
80 years, male, white, stage:Stage I, dead, 688 days
1795.2
TCGA-FV-A496-01A
84 years, female, white, stage:Stage I, alive, 10 days
1792.4
TCGA-2Y-A9H5-01A
59 years, female, white, stage:Stage I, dead, 555 days
1770.3
TCGA-DD-AAEK-01A
51 years, male, asian, stage:Stage II, alive, 1067 days
1765.3
TCGA-DD-A4NV-01A
61 years, male, white, stage:Stage IIIA, alive, 2398 days
1756.4
TCGA-EP-A12J-01A
62 years, male, black or african american, stage:Stage I, alive, 570 days
1728.8
TCGA-ZS-A9CF-01A
64 years, male, white, stage:Stage II, alive, 2412 days
1721.2
TCGA-3K-AAZ8-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 396 days
1716.9
TCGA-DD-AACE-01A
62 years, male, asian, stage:Stage I, alive, 2184 days
1709.2
TCGA-EP-A3RK-01A
73 years, male, white, stage:Stage IIIA, alive, 363 days
1700.0
TCGA-DD-AAD2-01A
66 years, male, asian, stage:Stage I, alive, 658 days
1697.6
TCGA-ZP-A9CV-01A
59 years, male, white, stage:'--, dead, 1088 days
1690.5
TCGA-DD-AACV-01A
53 years, male, asian, stage:Stage I, alive, 1531 days
1685.7
TCGA-DD-AACD-01A
48 years, male, asian, stage:Stage I, dead, 381 days
1665.0
TCGA-2Y-A9H7-01A
81 years, female, white, stage:Stage I, alive, 1168 days
1659.0
TCGA-DD-A4NR-01A
85 years, female, white, stage:Stage I, dead, 9 days
1634.9
TCGA-DD-AACT-01A
69 years, female, asian, stage:Stage I, alive, 1562 days
1633.0
TCGA-2Y-A9H1-01A
58 years, male, white, stage:Stage I, dead, 1229 days
1632.0
TCGA-DD-AACH-01A
69 years, male, asian, stage:Stage II, dead, 195 days
1625.3
TCGA-ZP-A9D4-01A
64 years, female, white, stage:'--, alive, 395 days
1608.0
TCGA-DD-AAVU-01A
46 years, male, asian, stage:Stage II, alive, 2202 days
1577.6
TCGA-DD-AAEI-01A
72 years, male, asian, stage:Stage I, alive, 1531 days
1576.7
TCGA-MI-A75H-01A
77 years, male, white, stage:'--, alive, 747 days
1571.3
TCGA-DD-A4NN-01A
56 years, female, white, stage:Stage I, dead, 899 days
1536.3
TCGA-2Y-A9GS-01A
58 years, male, white, stage:'--, dead, 724 days
1533.4
TCGA-DD-A1EA-01A
68 years, male, asian, stage:Stage II, alive, 2415 days
1525.2
TCGA-DD-AAVV-01A
56 years, male, asian, stage:Stage II, alive, 2455 days
1521.5
TCGA-G3-A5SL-01A
70 years, male, white, stage:Stage II, alive, 621 days
1514.2
TCGA-CC-A3MC-01A
54 years, male, asian, stage:Stage IIIA, alive, 363 days
1497.1
TCGA-DD-A1EH-01A
23 years, male, white, stage:Stage III, alive, 1495 days
1484.6
TCGA-DD-AAE2-01A
51 years, male, asian, stage:Stage I, alive, 638 days
1461.7
TCGA-EP-A2KC-01A
62 years, male, black or african american, stage:Stage I, dead, 19 days
1458.1
TCGA-G3-A25Y-01A
52 years, female, asian, stage:Stage I, dead, 452 days
1440.0
TCGA-DD-AAEB-01A
60 years, male, asian, stage:Stage I, alive, 478 days
1435.7
TCGA-DD-AADF-01A
64 years, female, asian, stage:Stage I, dead, 115 days
1428.6
TCGA-CC-A9FS-01A
55 years, male, asian, stage:Stage II, alive, 211 days
1420.9
TCGA-DD-AAEH-01A
73 years, male, asian, stage:Stage I, alive, 784 days
1412.9
TCGA-5C-A9VH-01A
70 years, male, white, stage:Stage I, alive, 322 days
1408.0
TCGA-DD-AACU-01A
59 years, male, asian, stage:Stage I, alive, 1567 days
1403.7
TCGA-RC-A7SK-01A
59 years, male, asian, stage:Stage I, alive, 472 days
1398.4
TCGA-DD-A3A1-01A
65 years, male, stage:Stage IIIA, dead, 233 days
1394.7
TCGA-DD-A39V-01A
77 years, male, white, stage:Stage II, dead, 643 days
1393.4
TCGA-DD-A1EK-01A
64 years, female, white, stage:Stage IVB, dead, 558 days
1366.4
TCGA-XR-A8TF-01A
74 years, male, white, stage:Stage I, dead, 693 days
1360.1
TCGA-DD-A3A2-01A
76 years, female, white, stage:Stage I, dead, 2131 days
1360.0
TCGA-ZS-A9CG-01A
55 years, male, white, stage:Stage II, alive, 341 days
1357.8
TCGA-DD-A73A-01A
71 years, male, white, stage:Stage I, alive, 728 days
1357.7
TCGA-DD-A115-01A
53 years, male, white, stage:Stage IIIA, dead, 2542 days
1343.4
TCGA-BC-A10W-01A
50 years, male, asian, stage:'--, dead, 91 days
1333.8
TCGA-DD-A4NF-01A
72 years, male, white, stage:Stage I, alive, 942 days
1329.5
TCGA-KR-A7K0-01A
65 years, male, white, stage:Stage I, dead, 65 days
1294.7
TCGA-DD-AAVR-01A
44 years, male, asian, stage:Stage I, alive, 2513 days
1276.0
TCGA-5R-AA1C-01A
57 years, male, white, stage:Stage II, alive, 520 days
1273.3
TCGA-DD-A4NE-01A
75 years, female, white, stage:Stage IIIA, dead, 660 days
1270.7
TCGA-GJ-A9DB-01A
68 years, male, white, stage:Stage I, dead, 67 days
1266.0
TCGA-DD-A4NB-01A
25 years, male, white, stage:Stage I, alive, 989 days
1263.2
TCGA-DD-AACN-01A
32 years, male, asian, stage:Stage I, alive, 1302 days
1262.4
TCGA-G3-A3CJ-01A
52 years, male, american indian or alaska native, stage:Stage II, alive, 594 days
1260.4
TCGA-K7-A5RG-01A
66 years, male, black or african american, stage:Stage I, alive, 519 days
1253.7
TCGA-DD-AAVW-01A
35 years, male, asian, stage:Stage I, alive, 2317 days
1232.9
TCGA-DD-AAE1-01A
52 years, male, asian, stage:Stage I, alive, 552 days
1216.0
TCGA-DD-AADJ-01A
70 years, female, asian, stage:Stage I, alive, 1066 days
1211.2
TCGA-FV-A495-01A
51 years, female, white, stage:Stage II, alive, 1 days
1210.9
TCGA-T1-A6J8-01A
68 years, male, white, stage:'--, alive, 23 days
1187.8
TCGA-ED-A7XP-01A
53 years, female, asian, stage:Stage II, alive, 400 days
1179.9
TCGA-XR-A8TG-01A
58 years, male, white, stage:Stage I, alive, 898 days
1178.1
TCGA-DD-A4NS-01A
61 years, female, white, stage:Stage I, dead, 2456 days
1172.2
TCGA-G3-A3CH-01A
53 years, male, asian, stage:Stage IIIA, alive, 780 days
1159.8
TCGA-DD-AADU-01A
60 years, male, asian, stage:Stage II, alive, 554 days
1146.2
TCGA-DD-AACJ-01A
75 years, male, asian, stage:Stage II, alive, 2102 days
1128.4
TCGA-DD-A4NJ-01A
54 years, female, white, stage:Stage II, alive, 928 days
1126.4
TCGA-BC-A217-01A
75 years, female, white, stage:Stage II, dead, 1397 days
1125.6
TCGA-DD-AAD1-01A
51 years, female, asian, stage:Stage I, alive, 564 days
1123.7
TCGA-DD-AAVS-01A
56 years, male, asian, stage:Stage I, alive, 1823 days
1100.8
TCGA-BC-A216-01A
62 years, female, white, stage:Stage IIIA, alive, 1351 days
1100.4
TCGA-G3-AAV3-01A
58 years, female, white, stage:Stage II, alive, 412 days
1098.6
TCGA-DD-AACI-01A
69 years, male, asian, stage:Stage II, alive, 1618 days
1097.5
TCGA-DD-AAW2-01A
69 years, male, asian, stage:Stage I, alive, 1855 days
1097.1
TCGA-CC-A8HS-01A
18 years, male, asian, stage:Stage IIIC, dead, 300 days
1093.1
TCGA-GJ-A6C0-01A
75 years, female, white, stage:Stage II, dead, 31 days
1087.1
TCGA-XR-A8TC-01A
43 years, female, white, stage:Stage I, alive, 1339 days
1086.5
TCGA-DD-AAEG-01A
59 years, female, asian, stage:Stage I, alive, 719 days
1076.1
TCGA-UB-A7MF-01A
56 years, male, white, stage:Stage IIIA, dead, 214 days
1068.8
TCGA-RC-A6M4-01A
74 years, female, white, stage:Stage IIIA, alive, 22 days
1067.7
TCGA-BW-A5NO-01A
50 years, male, black or african american, stage:Stage IIIA, alive, 20 days
1058.8
TCGA-DD-AACK-01A
70 years, male, asian, stage:Stage I, alive, 9 days
1053.2
TCGA-QA-A7B7-01A
48 years, male, black or african american, stage:Stage II, alive, 94 days
1043.8
TCGA-DD-A39Y-01A
67 years, male, asian, stage:Stage I, dead, 171 days
1040.4
TCGA-RC-A7SB-01A
53 years, male, asian, stage:Stage II, alive, 588 days
1033.5
TCGA-CC-A5UE-01A
48 years, male, asian, stage:Stage IIIB, dead, 272 days
1019.2
TCGA-EP-A3JL-01A
76 years, male, white, stage:Stage I, alive, 303 days
1010.0
TCGA-2Y-A9HA-01A
70 years, male, white, stage:Stage II, dead, 36 days
997.0
TCGA-DD-AAW3-01A
69 years, male, asian, stage:Stage I, alive, 1633 days
983.0
TCGA-NI-A4U2-01A
71 years, male, white, stage:Stage IIIA, dead, 1791 days
970.9
TCGA-CC-A9FW-01A
68 years, male, asian, stage:Stage IIIA, alive, 248 days
970.8
TCGA-DD-AACS-01A
39 years, male, asian, stage:Stage I, alive, 1804 days
963.6
TCGA-CC-A3MB-01A
36 years, male, asian, stage:Stage IIIA, dead, 315 days
960.4
TCGA-DD-A3A9-01A
64 years, female, white, stage:Stage IVB, dead, 931 days
947.3
TCGA-EP-A26S-01A
70 years, male, white, stage:Stage I, alive, 608 days
944.7
TCGA-DD-A39X-01A
78 years, female, white, stage:Stage I, dead, 1694 days
943.8
TCGA-FV-A2QQ-01A
80 years, male, white, stage:Stage I, alive, 729 days
942.1
TCGA-MI-A75G-01A
63 years, male, white, stage:Stage II, alive, 698 days
916.4
TCGA-CC-5258-01A
48 years, male, asian, stage:Stage II, dead, 129 days
914.9
TCGA-ED-A66X-01A
35 years, male, asian, stage:Stage IIIA, alive, 406 days
910.7
TCGA-BC-A10U-01A
69 years, male, white, stage:'--, dead, 837 days
903.2
TCGA-DD-AAD8-01A
73 years, female, asian, stage:Stage I, alive, 1219 days
902.4
TCGA-DD-A73E-01A
66 years, male, white, stage:Stage I, alive, 44 days
889.9
TCGA-5R-AA1D-01A
17 years, female, white, stage:Stage IIIA, alive, 449 days
883.5
TCGA-DD-AAD0-01A
73 years, female, asian, stage:Stage I, alive, 137 days
882.1
TCGA-ED-A97K-01A
54 years, male, asian, stage:Stage IIIA, alive, 6 days
876.7
TCGA-UB-A7MA-01A
62 years, female, white, stage:Stage II, alive, 848 days
853.7
TCGA-ED-A8O5-01A
59 years, female, asian, stage:Stage IIIA, alive, 406 days
851.7
TCGA-ED-A7PY-01A
20 years, female, asian, stage:Stage II, alive, 390 days
848.1
TCGA-DD-A39Z-01A
43 years, female, stage:Stage II, dead, 601 days
845.3
TCGA-DD-AADL-01A
58 years, male, asian, stage:Stage I, alive, 636 days
841.6
TCGA-DD-AACQ-01A
50 years, male, asian, stage:Stage II, dead, 432 days
837.8
TCGA-G3-A25U-01A
63 years, female, asian, stage:Stage I, alive, 1636 days
826.4
TCGA-CC-5262-01A
67 years, male, asian, stage:Stage IIIC, dead, 103 days
825.1
TCGA-RC-A7SF-01A
66 years, male, asian, stage:Stage I, alive, 579 days
810.8
TCGA-WJ-A86L-01A
68 years, female, white, stage:Stage I, alive, 345 days
810.1
TCGA-DD-A73B-01A
72 years, female, white, stage:Stage I, dead, 283 days
807.1
TCGA-DD-A116-01A
68 years, male, asian, stage:Stage IIIA, dead, 1622 days
804.0
TCGA-CC-A123-01A
24 years, female, asian, stage:Stage IIIA, alive, 219 days
801.3
TCGA-CC-5259-01A
60 years, female, asian, stage:Stage IIIC, alive, 250 days
798.4
TCGA-FV-A3R2-01A
75 years, male, white, stage:Stage I, dead, 194 days
798.2
TCGA-DD-AACZ-01A
63 years, female, asian, stage:Stage I, dead, 171 days
798.1
TCGA-5C-A9VG-01A
58 years, male, white, stage:Stage II, alive, 328 days
797.5
TCGA-DD-AAEA-01A
65 years, male, asian, stage:Stage I, alive, 575 days
789.9
TCGA-DD-AACW-01A
43 years, male, asian, stage:Stage I, alive, 1424 days
785.8
TCGA-EP-A2KB-01A
46 years, female, white, stage:Stage I, dead, 596 days
774.8
TCGA-DD-AAEE-01A
55 years, male, asian, stage:Stage I, alive, 810 days
727.8
TCGA-CC-5261-01A
44 years, male, asian, stage:Stage II, dead, 97 days
718.8
TCGA-DD-AACO-01A
40 years, male, asian, stage:Stage I, alive, 1876 days
717.9
TCGA-KR-A7K2-01A
64 years, male, white, stage:Stage I, alive, 829 days
706.6
TCGA-CC-A7IF-01A
59 years, male, asian, stage:Stage IIIA, dead, 649 days
703.0
TCGA-UB-A7MC-01A
59 years, male, white, stage:Stage IIIA, alive, 500 days
693.8
TCGA-BC-A10Z-01A
62 years, female, white, stage:Stage I, dead, 34 days
688.5
TCGA-ZP-A9CZ-01A
72 years, male, asian, stage:'--, alive, 706 days
659.6
TCGA-CC-A7IL-01A
61 years, male, asian, stage:Stage IIIA, dead, 278 days
659.3
TCGA-ED-A8O6-01A
50 years, female, asian, stage:Stage IIIA, dead, 56 days
649.8
TCGA-DD-AADW-01A
48 years, male, asian, stage:Stage I, alive, 587 days
648.1
TCGA-DD-A73D-01A
68 years, female, white, stage:Stage II, alive, 693 days
644.0
TCGA-DD-AAVQ-01A
38 years, male, asian, stage:Stage I, alive, 2728 days
642.9
TCGA-DD-AADP-01A
45 years, male, asian, stage:Stage I, alive, 458 days
642.2
TCGA-BC-A3KF-01A
66 years, female, white, stage:Stage I, alive, 8 days
641.1
TCGA-G3-AAV5-01A
67 years, male, white, stage:Stage II, alive, 354 days
620.3
TCGA-DD-AAVP-01A
48 years, male, asian, stage:Stage I, alive, 2752 days
618.9
TCGA-DD-AAE9-01A
69 years, male, asian, stage:Stage I, alive, 722 days
597.4
TCGA-WX-AA47-01A
33 years, female, white, stage:Stage IIIA, dead, 556 days
596.5
TCGA-DD-AACA-01A
65 years, male, asian, stage:Stage I, alive, 2301 days
587.8
TCGA-BC-A10T-01A
76 years, male, white, stage:'--, dead, 837 days
585.7
TCGA-DD-AADO-01A
55 years, male, asian, stage:Stage I, alive, 453 days
582.8
TCGA-ZP-A9D2-01A
51 years, male, white, stage:'--, dead, 765 days
575.8
TCGA-NI-A8LF-01A
74 years, male, white, stage:Stage I, alive, 799 days
569.2
TCGA-DD-A4NG-01A
77 years, male, white, stage:Stage IIIA, dead, 802 days
567.0
TCGA-XR-A8TD-01A
49 years, female, white, stage:Stage IIIB, alive, 1030 days
563.5
TCGA-DD-A1EE-01A
73 years, male, white, stage:Stage IIIA, dead, 349 days
552.5
TCGA-GJ-A3OU-01A
59 years, male, white, stage:Stage I, alive, 879 days
549.8
TCGA-DD-AADI-01A
43 years, female, asian, stage:Stage I, alive, 1085 days
547.5
TCGA-CC-A8HU-01A
39 years, female, asian, stage:Stage IIIA, dead, 344 days
538.6
TCGA-CC-A5UC-01A
63 years, male, asian, stage:Stage IIIA, dead, 347 days
533.5
TCGA-BC-A3KG-01A
68 years, female, white, stage:Stage II, alive, 680 days
533.5
TCGA-WX-AA44-01A
64 years, female, white, stage:Stage I, alive, 615 days
522.5
TCGA-MI-A75C-01A
64 years, male, white, stage:Stage I, alive, 291 days
507.9
TCGA-G3-A25X-01A
73 years, male, asian, stage:Stage II, alive, 1779 days
498.8
TCGA-G3-AAV6-01A
53 years, female, white, stage:Stage IIIA, dead, 65 days
496.2
TCGA-MR-A8JO-01A
34 years, male, white, stage:Stage I, alive, 330 days
485.8
TCGA-DD-AADB-01A
51 years, male, asian, stage:Stage I, alive, 1242 days
482.6
TCGA-CC-5264-01A
71 years, male, asian, stage:Stage IIIA, dead, 102 days
481.7
TCGA-G3-A7M6-01A
60 years, female, white, stage:Stage I, alive, 632 days
472.7
TCGA-G3-AAV1-01A
51 years, male, asian, stage:Stage IIIC, dead, 359 days
425.4
TCGA-2Y-A9H2-01A
64 years, female, white, stage:Stage I, alive, 1731 days
421.0
TCGA-RC-A7SH-01A
42 years, male, asian, stage:Stage II, alive, 468 days
419.1
TCGA-RC-A6M6-01A
75 years, male, white, stage:Stage II, alive, 9 days
413.0
TCGA-KR-A7K7-01A
61 years, female, white, stage:Stage II, alive, 951 days
377.9
TCGA-UB-A7MB-01A
24 years, male, white, stage:Stage II, alive, 601 days
373.3
TCGA-EP-A2KA-01A
52 years, female, white, stage:Stage IIIA, dead, 627 days
372.9
TCGA-ED-A7PZ-01A
61 years, male, asian, stage:Stage II, alive, 6 days
372.5
TCGA-DD-AACP-01A
64 years, male, asian, stage:Stage I, alive, 415 days
370.9
TCGA-DD-A4NH-01A
65 years, female, white, stage:Stage IIIB, alive, 917 days
353.2
TCGA-MI-A75I-01A
61 years, male, black or african american, stage:'--, alive, 630 days
351.2
TCGA-2Y-A9H0-01A
49 years, male, white, stage:Stage IIIA, alive, 3675 days
349.3
TCGA-DD-A1EF-01A
57 years, female, white, stage:Stage I, dead, 394 days
347.9
TCGA-ED-A5KG-01A
60 years, female, asian, stage:Stage II, alive, 854 days
344.4
TCGA-DD-AACB-01A
74 years, female, asian, stage:Stage I, alive, 2324 days
340.6
TCGA-DD-A4NQ-01A
60 years, male, white, stage:Stage II, dead, 373 days
338.9
TCGA-DD-AAD5-01A
54 years, male, asian, stage:Stage I, alive, 1345 days
326.1
TCGA-5C-AAPD-01A
61 years, male, asian, stage:Stage II, alive, 20 days
316.3
TCGA-DD-A1EJ-01A
71 years, female, white, stage:Stage IIIC, dead, 1005 days
310.3
TCGA-FV-A4ZQ-01A
52 years, male, white, stage:Stage I, alive, 12 days
303.1
TCGA-CC-A8HV-01A
51 years, female, asian, stage:Stage II, dead, 279 days
302.6
TCGA-DD-AACG-01A
52 years, male, asian, stage:Stage II, dead, 469 days
292.3
TCGA-G3-A25T-01A
45 years, female, white, stage:Stage IIIA, alive, 1553 days
275.6
TCGA-KR-A7K8-01A
57 years, male, stage:Stage I, alive, 906 days
272.8
TCGA-DD-AAED-01A
51 years, male, asian, stage:Stage I, alive, 763 days
272.1
TCGA-DD-A1EL-01A
23 years, male, black or african american, stage:Stage II, dead, 415 days
249.7
TCGA-DD-AAE0-01A
45 years, female, asian, stage:Stage IIIA, alive, 555 days
239.6
TCGA-BC-A8YO-01A
66 years, female, white, stage:Stage IIIC, alive, 562 days
239.5
TCGA-DD-A114-01A
42 years, male, black or african american, stage:Stage II, dead, 1149 days
232.7
TCGA-WQ-A9G7-01A
71 years, female, white, stage:'--, alive, 30 days
231.1
TCGA-BC-A69H-01A
64 years, male, white, stage:Stage II, alive, 444 days
229.9
TCGA-DD-AAC8-01A
72 years, male, asian, stage:Stage I, dead, 16 days
227.6
TCGA-DD-AACL-01A
66 years, female, asian, stage:Stage I, dead, 107 days
222.8
TCGA-YA-A8S7-01A
68 years, male, white, stage:Stage IIIA, dead, 412 days
215.8
TCGA-DD-AADD-01A
51 years, male, asian, stage:Stage I, alive, 1231 days
199.1
TCGA-CC-A7IE-01A
57 years, male, asian, stage:Stage IIIA, dead, 217 days
197.7
TCGA-DD-AADC-01A
53 years, male, asian, stage:Stage I, dead, 425 days
196.0
TCGA-K7-AAU7-01A
61 years, male, white, stage:Stage II, alive, 359 days
194.8
TCGA-CC-A8HT-01A
74 years, male, asian, stage:Stage IIIA, dead, 140 days
194.2
TCGA-CC-A3MA-01A
61 years, male, asian, stage:Stage IIIA, dead, 303 days
190.1
TCGA-G3-A7M9-01A
70 years, male, white, stage:Stage IIIB, dead, 56 days
184.6
TCGA-CC-A7IG-01A
47 years, male, asian, stage:Stage II, dead, 299 days
178.0
TCGA-DD-AADN-01A
59 years, male, asian, stage:Stage I, alive, 898 days
161.5
TCGA-ED-A66Y-01A
51 years, female, asian, stage:Stage IIIA, dead, 296 days
152.0
TCGA-G3-AAV7-01A
38 years, male, asian, stage:Stage II, alive, 361 days
150.2
TCGA-DD-AACX-01A
66 years, male, asian, stage:Stage II, alive, 170 days
145.8
TCGA-DD-AAE6-01A
59 years, female, asian, stage:Stage I, alive, 141 days
143.4
TCGA-CC-A7IK-01A
59 years, male, asian, stage:Stage IIIA, dead, 262 days
138.3
TCGA-CC-5263-01A
35 years, male, asian, stage:Stage IIIA, dead, 129 days
125.4
TCGA-DD-AAD6-01A
66 years, male, asian, stage:Stage IIIA, alive, 672 days
122.1
TCGA-RG-A7D4-01A
69 years, male, black or african american, stage:Stage II, alive, 1098 days
117.4
TCGA-CC-A7II-01A
54 years, male, asian, stage:Stage IIIA, alive, 399 days
113.2
TCGA-DD-A3A7-01A
67 years, male, stage:Stage IIIB, dead, 419 days
111.6
TCGA-CC-A1HT-01A
50 years, male, asian, stage:Stage IIIA, dead, 101 days
108.6
TCGA-FV-A4ZP-01A
78 years, male, white, stage:Stage IIIA, dead, 2486 days
102.4
TCGA-XR-A8TE-01A
16 years, male, white, stage:Stage IIIA, alive, 925 days
98.0
TCGA-BC-A5W4-01A
69 years, male, white, stage:Stage IIIA, dead, 547 days
91.6
TCGA-2Y-A9GY-01A
64 years, female, white, stage:Stage II, dead, 757 days
84.0
TCGA-DD-A39W-01A
29 years, female, white, stage:Stage III, dead, 827 days
83.8
TCGA-LG-A9QC-01A
48 years, male, white, stage:Stage I, alive, 425 days
76.8
TCGA-G3-A5SJ-01A
59 years, male, white, stage:Stage I, alive, 698 days
47.8
TCGA-DD-A1EC-01A
20 years, female, white, stage:Stage I, alive, 602 days
47.3
TCGA-DD-A4NA-01A
67 years, female, white, stage:Stage IIIC, alive, 1008 days
38.2
TCGA-DD-AA3A-01A
81 years, female, white, stage:Stage I, dead, 410 days
32.3
TCGA-G3-AAV4-01A
83 years, female, white, stage:Stage I, dead, 27 days
23.1
TCGA-ED-A7PX-01A
48 years, female, asian, stage:Stage II, alive, 6 days
17.0
TCGA-CC-A5UD-01A
45 years, male, asian, stage:Stage IIIA, dead, 304 days
15.9
TCGA-BC-A112-01A
80 years, male, white, stage:'--, dead, 153 days
7.3
TCGA-FV-A3I0-01A
76 years, female, white, stage:Stage II, alive, 848 days
4.7
TCGA-DD-A3A6-01A
72 years, female, white, stage:Stage II, dead, 3258 days
3.8
TCGA-BC-A10Q-01A
72 years, female, white, stage:'--, dead, 1135 days
2.4
TCGA-CC-5260-01A
61 years, female, asian, stage:Stage IIIC, dead, 87 days
2.2
TCGA-ED-A82E-01A
60 years, female, asian, stage:Stage IIIA, alive, 408 days
1.6
TCGA-CC-A3M9-01A
45 years, male, asian, stage:Stage IIIA, dead, 300 days
0.6
TCGA-CC-A7IJ-01A
56 years, male, asian, stage:Stage II, alive, 382 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.
HPX is validated 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 TPM
1142.0
Number of samples
231
Samples
Sample
Description
TPM
DO227643
79 years, male, NA, stage:2, alive, 1260 days
4078.9
DO48674
80 years, male, NA, stage:2, alive, 1260 days
4078.2
DO45094
76 years, male, NA, stage:3, alive, 1650 days
3955.4
DO45195
62 years, male, NA, stage:1, alive, 390 days
3948.3
DO45167
67 years, male, NA, stage:2, dead, 1440 days
3920.8
DO23518
67 years, male, NA, stage:2, alive, 1320 days
3894.0
DO23527
72 years, male, NA, stage:1, alive, 1050 days
3386.6
DO50832
73 years, male, NA, stage:3, alive, 90 days
3277.8
DO48760
70 years, female, NA, stage:2, alive, 690 days
3264.9
DO45175
74 years, male, NA, stage:2, alive, 1140 days
3168.0
DO23538
67 years, male, NA, stage:2, alive, 450 days
3159.7
DO23544
67 years, male, NA, stage:2, alive, 960 days
3064.6
DO45111
74 years, male, NA, stage:2, alive, 1590 days
3045.8
DO45129
61 years, male, NA, stage:3, alive, 1470 days
2998.8
DO23531
78 years, female, NA, stage:3, alive, 900 days
2865.1
DO23517
62 years, male, NA, stage:2, alive, 1200 days
2862.6
DO23551
73 years, male, NA, stage:3, dead, 150 days
2831.5
DO50819
72 years, female, NA, stage:2, alive, 510 days
2828.9
DO50807
67 years, male, NA, stage:1, alive, 540 days
2682.8
DO45109
63 years, male, NA, stage:2, alive, 1590 days
2569.5
DO48701
78 years, male, NA, stage:2, alive, 780 days
2560.1
DO45179
78 years, female, NA, stage:2, alive, 600 days
2506.4
DO50776
75 years, male, NA, stage:1, alive, 690 days
2496.9
DO48742
76 years, male, NA, stage:2, alive, 600 days
2471.0
DO45125
58 years, male, NA, stage:3, alive, 1680 days
2283.2
DO50805
72 years, male, NA, stage:2, alive, 690 days
2236.5
DO45257
46 years, male, NA, stage:3, alive, 810 days
2234.2
DO50800
74 years, male, NA, stage:2, alive, 510 days
2147.2
DO45177
81 years, female, NA, stage:3, alive, 1260 days
2140.4
DO48693
71 years, male, NA, stage:2, alive, 900 days
2139.8
DO45137
38 years, male, NA, stage:1, alive, 1320 days
2135.9
DO45181
84 years, female, NA, stage:2, alive, 1200 days
2122.7
DO50789
73 years, female, NA, stage:2, alive, 570 days
2096.5
DO45229
74 years, male, NA, stage:1, alive, 990 days
2075.7
DO45215
65 years, male, NA, stage:2, alive, 1170 days
2040.4
DO50845
72 years, male, NA, stage:3, alive, 210 days
1984.4
DO23550
69 years, male, NA, stage:1, alive, 990 days
1977.1
DO50818
65 years, male, NA, stage:2, alive, 510 days
1972.6
DO45096
69 years, male, NA, stage:2, dead, 1290 days
1960.7
DO50839
47 years, female, NA, stage:3, alive, 330 days
1930.8
DO45199
86 years, female, NA, stage:2, alive, 1350 days
1860.6
DO50774
68 years, female, NA, stage:2, alive, 720 days
1761.2
DO50825
70 years, male, NA, stage:2, alive, 390 days
1745.9
DO45255
81 years, male, NA, stage:3, alive, 720 days
1721.2
DO50840
49 years, male, NA, stage:2, alive, 330 days
1713.7
DO45153
77 years, female, NA, stage:2, alive, 1380 days
1698.7
DO45141
73 years, male, NA, stage:2, alive, 1320 days
1696.1
DO45107
63 years, female, NA, stage:2, alive, 1710 days
1696.0
DO23534
60 years, male, NA, stage:2, alive, 840 days
1682.1
DO48759
73 years, male, NA, stage:3, alive, 720 days
1667.7
DO48761
55 years, male, NA, stage:2, alive, 870 days
1667.1
DO45133
64 years, male, NA, stage:3, dead, 660 days
1662.6
DO45241
49 years, male, NA, stage:1, alive, 1080 days
1656.9
DO45143
69 years, male, NA, stage:3, alive, 1290 days
1653.2
DO227801
77 years, female, NA, stage:1, alive, 660 days
1634.0
DO45101
63 years, male, NA, stage:2, alive, 1680 days
1603.6
DO50850
74 years, male, NA, stage:3, alive, 720 days
1593.0
DO48704
68 years, female, NA, stage:3, alive, 750 days
1592.7
DO50787
63 years, male, NA, stage:3, alive, 480 days
1572.8
DO48733
72 years, male, NA, stage:2, alive, 600 days
1561.0
DO50813
56 years, male, NA, stage:2, alive, 420 days
1551.9
DO50816
63 years, male, NA, stage:2, alive, 390 days
1547.2
DO48716
71 years, male, NA, stage:2, alive, 720 days
1519.9
DO50803
62 years, female, NA, stage:1, alive, 540 days
1512.0
DO23510
80 years, female, NA, stage:2, alive, 870 days
1503.0
DO23541
65 years, male, NA, stage:2, alive, 930 days
1491.9
DO45171
56 years, male, NA, stage:3, alive, 600 days
1469.0
DO50808
68 years, male, NA, stage:2, alive, 570 days
1448.3
DO23552
80 years, female, NA, stage:1, alive, 810 days
1400.4
DO50802
49 years, male, NA, stage:2, alive, 930 days
1396.9
DO45261
74 years, male, NA, stage:3, alive, 990 days
1386.5
DO48727
81 years, female, NA, stage:2, dead, 390 days
1382.2
DO23512
60 years, male, NA, stage:1, alive, 1260 days
1363.4
DO50783
62 years, male, NA, stage:3, alive, 480 days
1352.2
DO45091
56 years, male, NA, stage:2, dead, 1320 days
1351.8
DO45135
77 years, male, NA, stage:1, alive, 1410 days
1344.0
DO45203
71 years, female, NA, stage:2, alive, 1170 days
1336.2
DO45117
73 years, female, NA, stage:2, dead, 1110 days
1324.2
DO45231
84 years, male, NA, stage:2, alive, 930 days
1298.6
DO48746
76 years, male, NA, stage:3, alive, 570 days
1297.1
DO45197
51 years, male, NA, stage:2, alive, 1170 days
1293.8
DO45159
65 years, male, NA, stage:3, alive, 1470 days
1279.3
DO45095
66 years, male, NA, stage:2, alive, 1620 days
1278.6
DO48712
50 years, male, NA, stage:2, alive, 810 days
1260.7
DO48677
58 years, male, NA, stage:3, alive, 1140 days
1245.3
DO45273
62 years, male, NA, stage:2, alive, 480 days
1240.3
DO45121
61 years, male, NA, stage:3, alive, 1530 days
1223.6
DO48736
76 years, female, NA, stage:1, alive, 600 days
1201.9
DO45201
49 years, male, NA, stage:1, alive, 900 days
1197.1
DO48732
73 years, male, NA, stage:3, alive, 630 days
1174.6
DO45207
68 years, male, NA, stage:1, alive, 1050 days
1161.8
DO48743
69 years, female, NA, stage:2, alive, 570 days
1145.1
DO23540
73 years, male, NA, stage:1, alive, 750 days
1130.8
DO50798
77 years, male, NA, stage:3, dead, 30 days
1119.9
DO23529
72 years, male, NA, stage:4, alive, 930 days
1113.9
DO23533
61 years, male, NA, stage:2, alive, 900 days
1101.9
DO48725
66 years, male, NA, stage:1, alive, 780 days
1096.9
DO45223
67 years, male, NA, stage:4, alive, 1020 days
1091.5
DO45099
46 years, male, NA, stage:3, alive, 1590 days
1088.1
DO50844
75 years, male, NA, stage:4, alive, 300 days
1071.2
DO48700
78 years, female, NA, stage:2, alive, 810 days
1069.9
DO48721
58 years, female, NA, stage:1, alive, 900 days
1068.0
DO45183
72 years, female, NA, stage:2, dead, 570 days
1058.6
DO50820
77 years, female, NA, stage:3, alive, 510 days
1037.9
DO45227
57 years, female, NA, stage:2, alive, 1020 days
1035.4
DO45233
83 years, male, NA, stage:3, alive, 900 days
1015.7
DO48695
77 years, male, NA, stage:2, alive, 720 days
1014.9
DO45123
78 years, female, NA, stage:2, dead, 570 days
1003.8
DO23513
76 years, male, NA, stage:3, alive, 1200 days
998.9
DO50806
70 years, male, NA, stage:4, alive, 540 days
997.7
DO45243
74 years, female, NA, stage:3, alive, 930 days
997.5
DO45219
78 years, male, NA, stage:2, alive, 1080 days
991.8
DO45103
47 years, male, NA, stage:3, alive, 450 days
981.9
DO48679
72 years, male, NA, stage:2, alive, 1200 days
979.2
DO50817
75 years, male, NA, stage:2, alive, 390 days
972.9
DO45213
58 years, male, NA, stage:1, alive, 1200 days
967.4
DO23536
56 years, male, NA, stage:2, alive, 930 days
958.8
DO45139
63 years, male, NA, stage:3, alive, 1320 days
956.7
DO50855
47 years, male, NA, stage:2, alive, 570 days
951.7
DO50822
66 years, male, NA, stage:2, alive, 510 days
949.2
DO48715
58 years, female, NA, stage:2, dead, 690 days
949.0
DO45173
63 years, male, NA, stage:3, alive, 1170 days
944.0
DO50857
72 years, male, NA, stage:2, alive, 210 days
938.7
DO45235
68 years, female, NA, stage:1, alive, 900 days
929.5
DO23535
67 years, male, NA, stage:1, alive, 960 days
923.8
DO45165
75 years, male, NA, stage:2, alive, 690 days
919.8
DO23514
64 years, male, NA, stage:2, alive, 1290 days
897.7
DO45191
61 years, female, NA, stage:2, alive, 1200 days
890.2
DO50793
76 years, male, NA, stage:4, alive, 540 days
885.9
DO50814
83 years, male, NA, stage:3, alive, 420 days
879.2
DO45163
76 years, male, NA, stage:2, alive, 960 days
868.3
DO48720
62 years, female, NA, stage:2, alive, 570 days
868.2
DO48682
72 years, female, NA, stage:3, dead, 120 days
857.3
DO23532
71 years, female, NA, stage:1, alive, 960 days
857.3
DO45263
67 years, male, NA, stage:3, dead, 270 days
851.5
DO48723
73 years, male, NA, stage:1, alive, 600 days
848.0
DO45169
74 years, male, NA, stage:3, alive, 1350 days
824.7
DO45247
31 years, female, NA, stage:2, alive, 210 days
823.9
DO45187
32 years, female, NA, stage:1, alive, 1260 days
815.5
DO50791
79 years, female, NA, stage:1, dead, 480 days
793.2
DO45265
73 years, male, NA, stage:3, alive, 1020 days
790.3
DO45115
81 years, male, NA, stage:2, alive, 840 days
770.9
DO45155
69 years, male, NA, stage:2, alive, 2160 days
766.3
DO45105
61 years, male, NA, stage:1, alive, 1680 days
744.4
DO48728
74 years, female, NA, stage:2, alive, 150 days
726.0
DO23539
77 years, male, NA, stage:1, alive, 1110 days
724.6
DO50804
81 years, male, NA, stage:2, alive, 720 days
720.1
DO48717
54 years, male, NA, stage:4, dead, 180 days
719.6
DO23549
74 years, male, NA, stage:3, alive, 990 days
699.8
DO45281
83 years, male, NA, stage:4, alive, 750 days
690.9
DO48719
80 years, male, NA, stage:2, alive, 690 days
671.7
DO45239
42 years, male, NA, stage:2, alive, 870 days
665.7
DO23525
71 years, male, NA, stage:4, alive, 1050 days
663.1
DO23548
78 years, female, NA, stage:1, alive, 840 days
661.5
DO23546
63 years, male, NA, stage:2, alive, 1050 days
658.9
DO23528
45 years, female, NA, stage:2, alive, 1020 days
645.7
DO48697
64 years, female, NA, stage:2, dead, 810 days
623.6
DO23509
60 years, male, NA, stage:3, dead, 780 days
609.9
DO48706
72 years, male, NA, stage:2, alive, 870 days
607.9
DO48672
81 years, male, NA, stage:2, alive, 450 days
600.5
DO23542
66 years, male, NA, stage:3, alive, 960 days
587.4
DO50811
62 years, male, NA, stage:1, alive, 450 days
581.0
DO45092
62 years, male, NA, stage:4, dead, 1200 days
579.8
DO45157
62 years, male, NA, stage:2, alive, 1980 days
576.8
DO48730
73 years, female, NA, stage:2, alive, 630 days
571.9
DO23515
71 years, male, NA, stage:2, alive, 1230 days
570.6
DO48737
52 years, male, NA, stage:1, alive, 720 days
561.5
DO23537
79 years, male, NA, stage:2, dead, 900 days
552.9
DO45221
75 years, female, NA, stage:4, dead, 390 days
549.5
DO45185
89 years, male, NA, stage:2, alive, 600 days
545.7
DO45225
69 years, male, NA, stage:1, alive, 1050 days
515.4
DO45119
74 years, male, NA, stage:3, dead, 510 days
508.8
DO23524
71 years, female, NA, stage:2, alive, 1050 days
496.7
DO45161
74 years, male, NA, stage:2, dead, 540 days
486.1
DO23516
69 years, male, NA, stage:3, dead, 20 days
478.7
DO50859
77 years, male, NA, stage:2, alive, 180 days
475.0
DO23545
67 years, male, NA, stage:2, dead, 570 days
466.1
DO23530
53 years, male, NA, stage:4, dead, 180 days
446.0
DO45253
50 years, male, NA, stage:2, alive, 870 days
445.9
DO23543
63 years, male, NA, stage:2, alive, 1020 days
441.0
DO23547
74 years, male, NA, stage:1, alive, 1020 days
422.7
DO45113
58 years, male, NA, stage:3, alive, 1560 days
422.6
DO50809
56 years, male, NA, stage:3, dead, 720 days
400.2
DO23508
79 years, female, NA, stage:2, alive, 390 days
347.5
DO50778
60 years, male, NA, stage:4, alive, 630 days
346.1
DO45217
69 years, female, NA, stage:3, dead, 270 days
333.4
DO45275
65 years, male, NA, stage:3, dead, 10 days
325.6
DO48741
64 years, male, NA, stage:3, alive, 240 days
305.4
DO50799
66 years, female, NA, stage:2, alive, 540 days
300.3
DO23526
66 years, male, NA, stage:3, alive, 1050 days
298.8
DO23521
63 years, male, NA, stage:3, alive, 1110 days
284.1
DO45149
70 years, female, NA, stage:2, alive, 1260 days
281.5
DO45249
57 years, male, NA, stage:1, alive, 630 days
273.7
DO45237
58 years, male, NA, stage:2, alive, 900 days
254.1
DO45193
68 years, female, NA, stage:4, dead, 120 days
244.9
DO50815
62 years, male, NA, stage:3, alive, 150 days
228.0
DO45269
59 years, male, NA, stage:3, alive, 750 days
221.9
DO23511
83 years, female, NA, stage:3, dead, 180 days
210.8
DO45251
57 years, female, NA, stage:2, alive, 900 days
206.4
DO45097
69 years, male, NA, stage:3, alive, 1620 days
181.9
DO45189
85 years, female, NA, stage:2, alive, 1200 days
171.1
DO45267
73 years, male, NA, stage:3, dead, 570 days
140.2
DO50829
78 years, male, NA, stage:3, alive, 570 days
128.7
DO48747
62 years, male, NA, stage:3, alive, 540 days
120.3
DO50785
37 years, male, NA, stage:4, dead, 90 days
110.4
DO45301
56 years, male, NA, stage:2, dead, 1440 days
103.6
DO48757
68 years, female, NA, stage:3, alive, 480 days
91.9
DO48681
57 years, male, NA, stage:2, alive, 900 days
82.4
DO45209
70 years, male, NA, stage:4, alive, 1350 days
77.3
DO45131
53 years, male, NA, stage:4, dead, 360 days
66.8
DO45205
67 years, female, NA, stage:2, dead, 90 days
61.7
DO23519
65 years, male, NA, stage:3, alive, 630 days
50.6
DO45145
78 years, male, NA, stage:3, dead, 60 days
49.6
DO45305
66 years, male, NA, stage:4, alive, 300 days
43.6
DO45093
71 years, male, NA, stage:2, dead, 720 days
40.0
DO45287
74 years, male, NA, stage:1, alive, 390 days
38.9
DO45127
73 years, male, NA, stage:3, dead, 420 days
35.6
DO45259
65 years, male, NA, stage:3, alive, 330 days
18.8
DO45289
78 years, female, NA, stage:3, alive, 360 days
16.7
DO45283
60 years, male, NA, stage:3, alive, 510 days
15.5
DO48751
68 years, male, NA, stage:2, dead, 480 days
11.2
DO45245
75 years, female, NA, stage:2, dead, 240 days
6.6
DO45277
64 years, male, NA, stage:3, alive, 600 days
6.5
DO45279
67 years, male, NA, stage:3, alive, 1290 days
6.0
DO23523
52 years, male, NA, stage:3, alive, 1080 days
4.9
DO45297
61 years, female, NA, stage:4, dead, 1260 days
3.7
DO45285
59 years, male, NA, stage:3, alive, 480 days
3.5
DO45303
62 years, female, NA, stage:3, alive, 990 days
2.0
DO45211
76 years, male, NA, stage:3, alive, 240 days
1.8
DO45307
54 years, female, NA, stage:4, dead, 240 days
1.5
DO45299
70 years, female, NA, stage:1, alive, 1440 days
1.2
Show allShow less
LIVER HEPATOCELLULAR CARCINOMA - Protein relative expression (CPTAC)
Number of samples
330
Samples
Sample ID
Sample type
nRPX
343
Tumor
1.7
877
Tumor
1.4
192
Normal
1.0
375
Tumor
0.9
785
Tumor
0.9
671
Tumor
0.8
813
Tumor
0.7
1045
Tumor
0.6
217
Tumor
0.6
425
Tumor
0.6
635
Tumor
0.6
391
Tumor
0.5
863
Tumor
0.5
744
Normal
0.5
777
Tumor
0.5
395
Tumor
0.5
311
Tumor
0.4
713
Tumor
0.4
778
Normal
0.4
746
Normal
0.4
455
Tumor
0.4
697
Tumor
0.4
393
Tumor
0.4
283
Tumor
0.4
816
Normal
0.4
141
Tumor
0.4
636
Normal
0.4
618
Normal
0.4
223
Tumor
0.4
125
Tumor
0.4
665
Tumor
0.4
142
Normal
0.4
261
Tumor
0.4
817
Tumor
0.3
218
Normal
0.3
224
Normal
0.3
344
Normal
0.3
461
Tumor
0.3
741
Tumor
0.3
365
Tumor
0.3
737
Tumor
0.3
297
Tumor
0.3
615
Tumor
0.3
491
Tumor
0.3
525
Tumor
0.3
384
Normal
0.3
924
Normal
0.2
1028
Normal
0.2
553
Tumor
0.2
642
Normal
0.2
126
Normal
0.2
917
Tumor
0.2
517
Tumor
0.2
627
Tumor
0.2
545
Tumor
0.2
881
Tumor
0.2
444
Normal
0.2
967
Tumor
0.2
743
Tumor
0.2
327
Tumor
0.2
342
Normal
0.2
383
Tumor
0.2
396
Normal
0.1
815
Tumor
0.1
921
Tumor
0.1
368
Normal
0.1
111
Normal
0.1
394
Normal
0.1
421
Tumor
0.1
367
Tumor
0.1
124
Normal
0.1
487
Tumor
0.1
535
Tumor
0.1
568
Normal
0.1
851
Tumor
0.1
186
Normal
0.1
474
Normal
0.1
113
Tumor
0.1
538
Normal
0.1
135
Tumor
0.1
1041
Tumor
0.1
911
Tumor
0.1
672
Normal
0.1
574
Normal
0.1
695
Tumor
0.1
982
Normal
0.1
286
Normal
0.1
464
Normal
0.1
285
Tumor
0.1
573
Tumor
0.1
563
Tumor
0.1
376
Normal
0.1
452
Normal
0.1
195
Tumor
0.1
138
Normal
0.1
328
Normal
0.0
386
Normal
0.0
114
Normal
0.0
536
Normal
0.0
878
Normal
0.0
857
Tumor
0.0
447
Tumor
0.0
1026
Normal
0.0
385
Tumor
0.0
185
Tumor
0.0
546
Normal
0.0
492
Normal
0.0
392
Normal
0.0
884
Normal
0.0
814
Normal
0.0
191
Tumor
0.0
358
Normal
0.0
862
Normal
0.0
1046
Normal
0.0
1015
Tumor
0.0
526
Normal
0.0
738
Normal
0.0
786
Normal
0.0
952
Normal
0.0
554
Normal
0.0
914
Normal
0.0
354
Normal
0.0
567
Tumor
0.0
228
Normal
0.0
823
Tumor
0.0
647
Tumor
0.0
414
Normal
0.0
867
Tumor
0.0
868
Normal
0.0
1022
Normal
0.0
388
Normal
0.0
564
Normal
0.0
616
Normal
0.0
137
Tumor
0.0
964
Normal
0.0
883
Tumor
0.0
222
Normal
0.0
666
Normal
0.0
938
Normal
0.0
146
Normal
0.0
915
Tumor
0.0
663
Tumor
0.0
363
Tumor
0.0
456
Normal
-0.1
426
Normal
-0.1
366
Normal
-0.1
468
Normal
-0.1
715
Tumor
-0.1
232
Normal
-0.1
874
Normal
-0.1
332
Normal
-0.1
424
Normal
-0.1
472
Normal
-0.1
341
Tumor
-0.1
963
Tumor
-0.1
648
Normal
-0.1
196
Normal
-0.1
818
Normal
-0.1
488
Normal
-0.1
221
Tumor
-0.1
756
Normal
-0.1
975
Tumor
-0.1
1016
Normal
-0.1
571
Tumor
-0.1
467
Tumor
-0.1
353
Tumor
-0.1
428
Normal
-0.1
136
Normal
-0.1
572
Normal
-0.1
966
Normal
-0.1
112
Tumor
-0.1
284
Normal
-0.1
463
Tumor
-0.1
462
Normal
-0.1
866
Normal
-0.1
515
Tumor
-0.1
723
Tumor
-0.1
128
Normal
-0.1
262
Normal
-0.1
214
Normal
-0.1
312
Normal
-0.1
861
Tumor
-0.1
968
Normal
-0.1
696
Normal
-0.1
716
Normal
-0.1
728
Normal
-0.1
148
Normal
-0.1
981
Tumor
-0.1
1044
Normal
-0.1
448
Normal
-0.1
983
Tumor
-0.1
268
Normal
-0.2
518
Normal
-0.2
466
Normal
-0.2
722
Normal
-0.2
956
Normal
-0.2
745
Tumor
-0.2
1027
Tumor
-0.2
686
Normal
-0.2
641
Tumor
-0.2
852
Normal
-0.2
188
Normal
-0.2
298
Normal
-0.2
685
Tumor
-0.2
436
Normal
-0.2
362
Normal
-0.2
352
Normal
-0.2
145
Tumor
-0.2
364
Normal
-0.2
422
Normal
-0.2
916
Normal
-0.2
212
Normal
-0.2
858
Normal
-0.2
213
Tumor
-0.2
755
Tumor
-0.2
527
Tumor
-0.2
662
Normal
-0.2
1025
Tumor
-0.2
912
Normal
-0.2
278
Normal
-0.2
922
Normal
-0.2
742
Normal
-0.2
132
Normal
-0.2
617
Tumor
-0.2
937
Tumor
-0.2
446
Normal
-0.2
432
Normal
-0.2
314
Normal
-0.2
172
Normal
-0.2
824
Normal
-0.2
557
Tumor
-0.2
258
Normal
-0.2
664
Normal
-0.2
465
Tumor
-0.2
187
Tumor
-0.3
162
Normal
-0.3
361
Tumor
-0.3
423
Tumor
-0.3
331
Tumor
-0.3
923
Tumor
-0.3
558
Normal
-0.3
698
Normal
-0.3
965
Tumor
-0.3
131
Tumor
-0.3
434
Normal
-0.3
513
Tumor
-0.3
918
Normal
-0.3
864
Normal
-0.3
628
Normal
-0.3
1043
Tumor
-0.3
951
Tumor
-0.3
416
Normal
-0.3
882
Normal
-0.3
147
Tumor
-0.3
272
Normal
-0.3
277
Tumor
-0.3
471
Tumor
-0.3
481
Tumor
-0.3
913
Tumor
-0.3
351
Tumor
-0.3
714
Normal
-0.3
943
Tumor
-0.3
498
Normal
-0.3
412
Normal
-0.3
483
Tumor
-0.4
516
Normal
-0.4
478
Normal
-0.4
433
Tumor
-0.4
873
Tumor
-0.4
211
Tumor
-0.4
271
Tumor
-0.4
977
Tumor
-0.4
356
Normal
-0.4
482
Normal
-0.4
387
Tumor
-0.4
431
Tumor
-0.4
494
Normal
-0.4
958
Normal
-0.4
484
Normal
-0.4
451
Tumor
-0.4
514
Normal
-0.4
721
Tumor
-0.4
227
Tumor
-0.4
528
Normal
-0.4
1042
Normal
-0.4
1014
Normal
-0.4
976
Normal
-0.4
413
Tumor
-0.4
944
Normal
-0.5
954
Normal
-0.5
953
Tumor
-0.5
123
Tumor
-0.5
534
Normal
-0.5
445
Tumor
-0.5
257
Tumor
-0.5
313
Tumor
-0.5
984
Normal
-0.5
1032
Normal
-0.5
926
Normal
-0.5
925
Tumor
-0.5
411
Tumor
-0.5
724
Normal
-0.5
231
Tumor
-0.5
355
Tumor
-0.5
161
Tumor
-0.5
477
Tumor
-0.5
727
Tumor
-0.6
865
Tumor
-0.6
267
Tumor
-0.6
443
Tumor
-0.6
1021
Tumor
-0.6
493
Tumor
-0.6
435
Tumor
-0.6
955
Tumor
-0.6
661
Tumor
-0.6
127
Tumor
-0.6
497
Tumor
-0.6
171
Tumor
-0.7
427
Tumor
-0.7
415
Tumor
-0.7
978
Normal
-0.7
357
Tumor
-0.7
523
Tumor
-0.8
537
Tumor
-0.8
1013
Tumor
-0.9
1031
Tumor
-0.9
957
Tumor
-0.9
524
Normal
-0.9
533
Tumor
-1.0
473
Tumor
-1.1
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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.