| Literature DB >> 35847843 |
Xiaofeng Yuan1, Ming Zhuang1, Xi Zhu1,2, Dong Cheng1, Jie Liu1, Donglin Sun1, Xubin Qiu1, Yunjie Lu1, Kurt Sartorius3,4,5.
Abstract
Recent evidence suggests the global incidence and mortality of hepatocellular carcinoma (HCC) are increasing. Although the highest incidence of HCC remains entrenched in WHO regions with high levels of HBV-HCV infection, the etiology of this disease is rapidly changing to include other lifestyle risk factors. Extrahepatic metastasis is a frequent feature of advanced HCC and most commonly locates in the lungs and bone. Bone metastasis in HCC (HCC-BM) signals a more aggressive stage of disease and a poorer prognosis, simultaneously HCC-BM compromises the function and integrity of bone tissue. HCC induced osteolysis is a prominent feature of metastasis that complicates treatment needed for pathologic fractures, bone pain and other skeletal events like hypercalcemia and nerve compression. Early detection of bone metastases facilitates the treatment strategy for avoiding and relieving complications. Although recent therapeutic advances in HCC like targeting agents and immunotherapy have improved survival, the prognosis for patients with HCC-BM remains problematic. The identification of critical HCC-BM pathways in the bone microenvironment could provide important insights to guide future detection and therapy. This review presents an overview of the clinical development of bone metastases in HCC, identifying key clinical features and identifying potential molecular targets that can be deployed as diagnostic tools or therapeutic agents.Entities:
Keywords: biomarkers; bone metastasis; bone remodeling; hepatocellular carcinoma (HCC); osteolysis
Year: 2022 PMID: 35847843 PMCID: PMC9277479 DOI: 10.3389/fonc.2022.943866
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1Bone metastatic steps of HCC cells. In situ hepatocellular carcinoma results from the mutation of protooncogenes or suppressor genes in normal cells as a combined result of physical, chemical or biological factors. Cancer cells stimulate angiogenesis to fulfill its nutritional needs. During tumor growth, the extracellular matrix is dissolved, which causes the invasion of the lymphatic and circulatory systems. But only a small proportion of cancer cells can survive and form a tumor thrombus in the circulatory system due to immune surveillance. Meanwhile, CTCs and ctDNA can be detected by the liquid biopsy for monitoring tumor in real time. At the proper time, the surviving cells migrate from the circulatory system to the target organ or tissue and colonize the area. Metastatic tumor cells in distant locations are inactive for a period of time in order to adapt to stress stimuli and survive a hostile environment. When stimulated by an appropriate signal, dormant tumor cells become active and continue to behave in a malignant fashion.
Figure 2HCC biomarkers for Bone metastasis. Early HCC-BM biomarkers expressed by the tumor-environment include chemokine receptor type 4 (CXCR4), connective tissue growth factor (CTGF)/interleuken 11(Il-11), radial basis function neural network (RBFNN) algorithm containing six peptides, Secreted Frizzled Related Protein 3 (FRZB), neuron cytoplasmic protein 9.5 (PGP 9.5), microRNA-34a (miR-34a), N-terminal telopeptide (NTx), long non-coding RNA 34 (Lnc34), hemoglobin (HGB)/ platelet count (PLT), alkaline phosphatase (ALP).
Clinical studies about molecular markers in HCC-BM.
| Year | Patient | Type of specimens | Biomarker | Status in HCC-BM | Clinical value | Refs |
|---|---|---|---|---|---|---|
| 2009 | HCC patients with/without BM (n = 43/138) | TMA | CXCR4 expression | Increase | An independent risk factor may be associated with poor clinical outcomes. | ( |
| 2011 | HCC patients with/without BM (n = 24/24) and an independent cohort of 350 HCC patients which was conducted to evaluate the clinical significance of the candidate genes | FFPE, TMA | Intratumoral CTGF combined | Increase | An independent risk factor for HCC-BM | ( |
| 2014 | HCC patients with/without BM (n = 66/72) | Serum | RBFNN model based on six significant peptides (m/z for these six peptides were 1535.4, 1780.7, 1866.5, 2131.6, 2880.4, and 2901.9) | Increase | A serological diagnosis tool for HCC-BM | ( |
| 2015 | HCC patients with synchronous or metachronous BM received surgery (n=13) | FFPE | FRZB expression | Increase | A novel predictor for poor prognosis of HCC-BM after surgical resection | ( |
| 2015 | HCC patients with sBM or mBM who received surgery (n=13) | FFPE | PGP9.5 expression | Increase | A potential role of the PNI in HCC-BM | ( |
| 2016 | HCC patients with/without BM (n = 10/10) and an independent cohort of 106 HCC patients for evaluating candidate miRNAs and 296 HCC patients for evaluating the clinical significance of miRNA-34a | Serum, TMA | miRNA-34a expression levels in serum and intratumoral tissue | Decrease | An independent risk factor for HCC-BM | ( |
| 2017 | HCC patients with BM who had been treated with ZOL (n=99) | Serum | The baseline serum NTX | Decrease | Reflecting longer progression-free survival | ( |
| 2021 | HCC patients who underwent curative hepatectomy (n=157) | Serum | Circulating lnc34a expression | Increase | An independent risk factor for HCC-BM | ( |
| 2022 | HCC patients with sBM or mBM (n=77/51) | Serum | Serum HGB, PLT and ALP level | Decrease/Decrease/Increase | Risk factors for HCC-BM. | ( |
IHC, immunohistochemistry; TMA, the tissue microarray; MALDI-TOF-MS, Matrix-assisted laser desorption ionization-time of flight mass spectrometry; LC-MS, liquid chromatography-mass spectrometry; m/z, Mass to charge ratio; RBFNN, radial basis function neural network; sBM, synchronous bone metastasis; mBM, metachronous bone metastasis; FRZB, frizzled-related protein; PGP9.5, protein gene product 9.5; PNI, perineural invasion; qRT-PCR, real-time quantitative polymerase chain reaction; ISH, in situ hybridization; ZOL, zoledronic acid; NTX, N-telopeptide of type I collagen; HGB, hemoglobin; PLT, platelet; ALP, alkaline phosphatase.
Recent advances in molecular mechanisms and oncogenes in HCC-BM.
| Target | Clinical association | Location | Main mechanism | Blocking method | Refs |
|---|---|---|---|---|---|
| LGALS3 | LGALS3- overexpression promotes HCC bone metastasis | The outermost covering of OP cells | Promoting differentiation and Activation of Osteoclasts by activating CD98- and integrin αv/β3 complex-mediated fusion and podosome formation | LGALS3 neutralizing antibody or YAP inhibitor verteporfin | ( |
| H19 | H19-overexpression promotes HCC bone metastasis | Chromosome 11p15.5 | Reducing OPG expression | P38 inhibitor | ( |
| LncZEB1-AS1 | LncZEB1-AS1-overexpression promotes HCC bone metastasis | Chromosome 10p11.22 region contiguous with ZEB1 | Inducing MMP2, MMP7 and MMP9 upregulation | Compounds targeting the lncZEB1-AS1‐miR-302b-EGFR axis | ( |
| Lnc34a | Lnc34a-overexpression promotes HCC bone metastasis | Enriching in colon cancer stem cells (CCSCs) | Recruiting Dnmt3a | Increasing miR-34a or decreasing Smad4 | ( |