| Literature DB >> 27398029 |
Ranjit Chauhan1, Nivedita Lahiri2.
Abstract
Hepatocellular carcinoma (HCC), one of the leading causes of cancer deaths in the world, is offering a challenge to human beings, with the current modes of treatment being a palliative approach. Lack of proper curative or preventive treatment methods encouraged extensive research around the world with an aim to detect a vaccine or therapeutic target biomolecule that could lead to development of a drug or vaccine against HCC. Biomarkers or biological disease markers have emerged as a potential tool as drug/vaccine targets, as they can accurately diagnose, predict, and even prevent the diseases. Biomarker expression in tissue, serum, plasma, or urine can detect tumor in very early stages of its development and monitor the cancer progression and also the effect of therapeutic interventions. Biomarker discoveries are driven by advanced techniques, such as proteomics, transcriptomics, whole genome sequencing, micro- and micro-RNA arrays, and translational clinics. In this review, an overview of the potential of tissue- and serum-associated HCC biomarkers as diagnostic, prognostic, and therapeutic targets for drug development is presented. In addition, we highlight recently developed micro-RNA, long noncoding RNA biomarkers, and single-nucleotide changes, which may be used independently or as complementary biomarkers. These active investigations going on around the world aimed at conquering HCC might show a bright light in the near future.Entities:
Keywords: HCC; biomarker; liver; lncRNA; miRNA; prevention; prognosis; therapeutic
Year: 2016 PMID: 27398029 PMCID: PMC4933537 DOI: 10.4137/BIC.S34413
Source DB: PubMed Journal: Biomark Cancer ISSN: 1179-299X
Figure 1Stages of Hepatocellular carcinoma development and induction of biomarkers. Highlighted liver indicates decisive stage during which liver is either dysregulated by insult or it tolerates such insult till certain limits.
Figure 2Main factors and signaling involved in hepatocarcinogenesis.
Figure 3Mechanism of action of sGPC3. (A) Wild-type GPC3 bound to the cell membrane facilitates/stabilizes the interaction of Wnt and other growth factors (bFGF and HGF) with their signaling receptors. (B) sGPC3 sequesters growth factors and inhibits their interaction with signaling receptors. © 2009 UICC, reused with permission from Zittermann SI, Capurro MI, Shi W, Filmus J. Soluble glypican 3 inhibits the growth of hepatocellular carcinoma in vitro and in vivo. Int J Cancer. 2010;126:1291–1301.
Figure 414-3-3–HSF-1/HSP70 cell signaling in HCC cells. Modified from Wu YJ, Jan YJ, Ko BS, Liang SM, Liou JY. Involvement of 14-3-3 proteins in regulating tumor progression of hepatocellular carcinoma. Cancers. 2015;7(2):1022–1036, under the Creative Commons Attribution License.
Biomarkers, their origin, and the significance.
| NAME | CATEGORY | DESCRIPTION | REFERENCE |
|---|---|---|---|
| Alpha Fetoprotein (AFP) | Serum glycoprotein antigen | AFP >500 ng/mL are indicative of HCC, early diagnosis and monitoring | |
| Glypican 3 (GPC3) | Tissue biomarker-membrane bound heparin sulfate proteoglycan | GPC3 mRNA and protein significantly upregulated in HCC specifically, early diagnosis | |
| Des-Gamma Carboxyl Prothrombin (DCP) | Cellular enzyme-secreted by the cancerous hepatocyte (serum biomarker) | DCP >0.1 AU/mL (100 ng/mL) are highly suggestive of HCC, early diagnoses, metastasis | |
| Gamma Glutamyl Transferase (GGT) | Serum biomarker | GGTII isoform significantly upregulated in HCC | |
| Alpha-1-Fucosidase (AFU) | Lysosomal enzyme, serum biomarker | More than 2-fold increase in HCC patients compared to normal, liver cirrhosis or chronic hepatitis patients, early diagnosis | |
| DKK-1 | Serum/secreted protein biomarker | Enhances HCC progression by accumulation of beta-catenin by Wnt signaling, early HCC biomarker | |
| Human carbonyl reductase-2 | Secreted by Liver and kidney, serum biomarker | Detoxicating enzyme, level falls in HCC, prognosis | |
| Golgi Phosphoprotein-2 (GOLPH2)/Golgi protein 73 (GP73) | Serum biomarker | Increased significantly, higher sensitivity than AFP, tumor aggressiveness | |
| Transforming Growth factor beta (TGF-beta) | Serum biomarker | Tumor invasiveness, mRNA overexpressed in HCC tissue | |
| Epidermal Growth Factor Receptor Family (EGFR) | Cellular (transmembrane) biomarker | Early recurrence and reduced disease-free survival following resection of hepatocellular carcinoma | |
| Hepatocyte Growth Factor (HGF) | Serum biomarker (cytokine) | Prognosis, invasiveness and metastasis | |
| Fibroblast Growth factor (FGF) | Heparin binding polypeptide | FGF level >10.8 pg/mL predicts HCC and reduced disease free survival | |
| Molecular markers | Serum biomarker HCC tissue | Increased postsurgical circulation depicts more chances of recurrence, extrahepatic metastasis, monitoring of postoperative recurrence, tumor spread and survival | |
| Pathological biomarkers | Tissue biomarker | Increased transformed cell proliferation, survival, cell-to-cell adhesion, neoangiogenesis | |
| Hepatocyte Paraffin 1 (HepPar1) | Tissue biomarker | Decreased expression in HCC cells | |
| Squamous Cell Carcinoma Antigen (SCCA)-IgM immunocomplex | Serum biomarker | Significant enhancement during progression to HCC | |
| Tumor Associated Glycoprotein 72 (TAG-72) | Tissue biomarker | Upregulation indicates tumor progression and metastasis, associated with poor survival | |
| Zinc-α2-glycoprotein (ZAG) | Serum biomarker (soluble glycoprotein) | Overexpressed in HCC | |
| DLK-1 (Delta like protein-1) | Embryonic, kidney and neural tissue | Significantly elevated in HCC | |
| Villin 1 (Vil1) | HCC tumor tissue | Upregulated Vil1 indicates transformation, vascular invasion and cancer progression |
Figure 5TAG-72 as a potent prognostic marker in various cancers: Curves showing an estimate of overall survivability of cancer patients with absence of TAG-72 expression and presence of TAG-72 expression in cancer tissue after days of treatment.
Figure 6(A) Alignment of the amino acid sequence of the two isoforms of GP73 taken from Uniprot protein ID-Q8NBJ4-1 and Uniprot protein ID-Q8NBJ4-2. Three blue box represents the glycosylation sites in two isoforms. Compared to isoform-1, isoform-2 is 10 amino acid shorter in N-terminal region. (B) Increased expression of GP73 in cirrhosis and HCC compared to the healthy controls. Increased expression of GP73 in patients infected with HBV-associated HCC and cirrhosis. Increased expression also correlates with the grading of the liver necroinflammation. Panel (B) is reused from Xu Z, Liu L, Pan X, et al. Serum golgi protein 73 (GP73) is a diagnostic and prognostic marker of chronic HBV liver disease. Tarantino G, ed. Medicine. 2015;94(12):e659, under the Creative Commons Attribution License.
Figure 7Interaction between VEGF, VEGFR-2, and sVEGFR-2 via MAPK pathway. Modified from Ratnasari N, Yano Y. Do soluble vascular endothelial growth factor and its receptors predict the progression of chronic hepatitis to hepatocellular carcinoma? Hepatitis. 2015;1(1):4, under the Creative Commons Attribution License.
Figure 8Biogenesis of miRNA. Modified from Anwar SL, Lehmann U. MicroRNAs: Emerging novel clinical biomarkers for hepatocellular carcinomas. Journal of Clinical Medicine. 2015;4(8):1631–1650, under the Creative Commons Attribution License.
Figure 9Mature miRNAs silenced by aberrant DNA methylation and their affected target genes and pathways that are important in the development and progression of HCC.
Abbreviations: PI3K, phosphatidylinositol-3-kinase; MAPK, mitogen-activated protein kinase; EGF, epidermal growth factor; PDGF, platelet-derived growth factor; HGF, hepatocyte growth factor; mTOR, mammalian target of rapamycin; VEGF, vascular endothelial growth factor; MMP, matrix metalloproteinase; APC, activated protein C; CTNNB1, β-catenin.
Figure 10Summary of miRNAs and their targets associated with HCC, liver fibrosis, NAFLD, and hepatitis (HBV or HCV infection). miRNAs that are upregulated are indicated by red text, and miRNAs that are downregulated are indicated by green text.
This table summarizes the list of miRNA from different sources, being upregulated or downregulated during HCC, and their roles in HCC progression. A. Daignostic markers. B. Prognostic markers C. Therapeutic markers.
| microRNA | REGULATION | SOURCE | INFORMATION |
|---|---|---|---|
| miR-106 | Up | Plasma | Differentiate HCC from healthy control and chronic disease |
| miR-122 | Up | Serum | Differentiate HCC from healthy control |
| miR-15b, miR-130b | Up | Serum | Differentiate HCC from healthy control |
| miR-16, miR-199a | Down | Serum | Differentiate HCC from healthy control and Chronic hepatitis |
| miR-183 | Up | Tissue | Differentiate benign and malignant liver tumor |
| miR-15b, miR-130b | Up | Serum | Differentiate HCC and healthy patients and reduce after surgery |
| miR-18a | Up | Serum | Differentiate HCC from healthy control |
| miR-122, miR-192, miR-21, miR-223, miR-26a, miR-27a, miR801- | Signature | Plasma | Differentiate HCC from healthy control |
| miR-21 | Up | Serum, Plasma | Differentiate HCC from cirrhosis and healthy controls |
| miR-375 | Up | Serum | Differentiate HBV- and HCV-related HCC from healthy controls |
| miR-483 | Up | Plasma | Differentiate HCC from healthy control |
| miR-618/miR-650 | Up | Urine | Differentiate HCC and control |
| miR-885 | Up | Serum | Differentiate HCC, cirrhosis and chronic liver patients from healthy controls |
| miR-92a | Down | Plasma | Differentiate HCC from healthy control |
| miR-25, miR-375, let-7f | Up | Serum | Differentiate HCC from healthy control |
| miR-20a-5p, miR-320a, miR-324-3p, miR-375 | Up | Plasma | Differentiate HCC from non-cancerous lesions |
| miR-29a, miR-29c, miR-133a, miR-143, miR-145, miR-192, miR-505 | Signature | Serum | Detect early stage HCC and AFP-negative HCC |
| miR-10b | Up | Tissue | Poor prognosis |
| miR-122 | Down | Tissue | Poor prognosis |
| miR-124 | Down | Tissue | Poor prognosis and aggressive type |
| miR-135a | Up | Tissue | Shorter overall survival and disease free survival |
| miR-139 | Down | Tissue | Metastasis and poor prognosis |
| miR-155 | Up | Tissue | Poor prognosis, recurrence, micro-vascular invasion |
| miR-182 | Up | Tissue | Intrahepatic metastasis and poor prognosis |
| miR-199b-5p | Down | Tissue | Shorter overall survival |
| miR-203 | Up | Tissue | Better prognosis, longer survival |
| miR-21, miR-221 | Up | Tissue | Tumor stage and poor prognosis |
| miR-22 | Down | Tissue | Poor survival |
| miR-221 | Up | Tissue | Poor survival |
| miR-29 | Down | Tissue | Shorter disease free survival |
| miR-29a-5p | Up | Tissue | Recurrence in early stage of HCC |
| miR-99a | Down | Tissue | Shorter survival |
| Let-7g | Down | Tissue | Poor survival |
| DLK1-DIO3 miRNA cluster | Up | Tissue | Poor prognosis |
| C19MC microRNA cluster | Up | Tissue | Poor clinico-pathological features, recurrence and shorter overall survival |
| miR-155, miR-15a, miR-432, miR-486-3p, miR-15b, miR-30b | Up | Tissue | Recurrence-free survival |
| miR-19a, miR-886, miR-43, miR-486-3p, miR-15b, miR-30b | Signature | Tissue | Overall survival and recurrent free survival |
| 67 miRNA signature | Signature | Tissue | Differentiate recurrence after liver transplantation |
| miR-326, miR-3677, miR-511-1, miR-511-2, miR-9-1, miR-9-2 | Signature | Tissue | Negatively associated with overall survival |
| miR-122 | Down | Cells, tissue | Decreased sensitivity to doxorubicin |
| miR-122 | Down | Cells, tissue | Decreased sensitivity to adriamycin, vincristin |
| miR-122 | Down | Cells, tissue | Suppressed sensitivity to sorafenib |
| miR-146a | Up | Cells | Suppressed sensitivity to interferon-α |
| miR-193a-3p | Down | Cells, tissue | Resistance to 5-FU |
| miR-193b | Up | Cells, tissue | Sensitivity to cisplatin |
| miR-199a-3p | Down | Cells, tissue | Increased sensitivity to doxorubicin |
| miR-1247a | Down | Cells | Resistance to sorafenib |
| miR-21 | Up | Cells, tissue | Resistance to interferon-α/5-FU in HCC cells |
| miR-34a | Down | Cells, tissue | Resistance to sorafenib |
| 13 microRNA signature | Signature | Cells, tissue | Multidrug resistance |
Note: Taken from Ref. 193.
Figure 11The distribution of upregulated exosomal miRNAs (miR-18a, miR-221, miR-222, and miR-224) in CHB patients, LC, and HCC. Reprinted by permission from Macmillan Publishers Ltd: Experimental & Molecular Medicine, Sohn W, Kim J, Kang SH. Serum exosomal microRNAs as novel biomarkers for hepatocellular carcinoma. Exp Mol Med. 2015;47:e184. Copyright 2015.