Biomarker discovery in hepatocellular carcinoma (HCC) for personalized treatment and enhanced prognosis

IF 9.3 2区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Baofa Yu , Wenxue Ma
{"title":"Biomarker discovery in hepatocellular carcinoma (HCC) for personalized treatment and enhanced prognosis","authors":"Baofa Yu ,&nbsp;Wenxue Ma","doi":"10.1016/j.cytogfr.2024.08.006","DOIUrl":null,"url":null,"abstract":"<div><p>Hepatocellular carcinoma (HCC) is a leading contributor to cancer-related deaths worldwide and presents significant challenges in diagnosis and treatment due to its heterogeneous nature. The discovery of biomarkers has become crucial in addressing these challenges, promising early detection, precise diagnosis, and personalized treatment plans. Key biomarkers, such as alpha fetoprotein (AFP) glypican 3 (GPC3) and des gamma carboxy prothrombin (DCP) have shown potential in improving clinical results. Progress in proteomic technologies, including next-generation sequencing (NGS), mass spectrometry, and liquid biopsies detecting circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA), has deepened our understanding of HCC’s molecular landscape. Immunological markers, like PD-L1 expression and tumor-infiltrating lymphocytes (TILs), also play a crucial role in guiding immunotherapy decisions. Despite these advancements, challenges remain in biomarker validation, standardization, integration into clinical practice, and cost-related barriers. Emerging technologies like single-cell sequencing and machine learning offer promising avenues for further exploration. Continued investment in research and collaboration among researchers, healthcare providers, and policymakers is vital to harness the potential of biomarkers fully, ultimately revolutionizing HCC management and improving patient outcomes through personalized treatment approaches.</p></div>","PeriodicalId":11132,"journal":{"name":"Cytokine & Growth Factor Reviews","volume":"79 ","pages":"Pages 29-38"},"PeriodicalIF":9.3000,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cytokine & Growth Factor Reviews","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1359610124000674","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Hepatocellular carcinoma (HCC) is a leading contributor to cancer-related deaths worldwide and presents significant challenges in diagnosis and treatment due to its heterogeneous nature. The discovery of biomarkers has become crucial in addressing these challenges, promising early detection, precise diagnosis, and personalized treatment plans. Key biomarkers, such as alpha fetoprotein (AFP) glypican 3 (GPC3) and des gamma carboxy prothrombin (DCP) have shown potential in improving clinical results. Progress in proteomic technologies, including next-generation sequencing (NGS), mass spectrometry, and liquid biopsies detecting circulating tumor cells (CTCs) and circulating tumor DNA (ctDNA), has deepened our understanding of HCC’s molecular landscape. Immunological markers, like PD-L1 expression and tumor-infiltrating lymphocytes (TILs), also play a crucial role in guiding immunotherapy decisions. Despite these advancements, challenges remain in biomarker validation, standardization, integration into clinical practice, and cost-related barriers. Emerging technologies like single-cell sequencing and machine learning offer promising avenues for further exploration. Continued investment in research and collaboration among researchers, healthcare providers, and policymakers is vital to harness the potential of biomarkers fully, ultimately revolutionizing HCC management and improving patient outcomes through personalized treatment approaches.

发现肝细胞癌(HCC)的生物标志物,以实现个性化治疗并改善预后。
肝细胞癌(HCC)是导致全球癌症相关死亡的主要因素,由于其异质性,给诊断和治疗带来了巨大挑战。生物标志物的发现已成为应对这些挑战的关键,有望实现早期检测、精确诊断和个性化治疗方案。甲胎蛋白(AFP)、糖蛋白3(GPC3)和去γ-羧基凝血酶原(DCP)等关键生物标志物已显示出改善临床结果的潜力。蛋白质组学技术(包括下一代测序 (NGS)、质谱法和检测循环肿瘤细胞 (CTC) 和循环肿瘤 DNA (ctDNA) 的液体活检)的进步加深了我们对 HCC 分子状况的了解。免疫标记物,如 PD-L1 表达和肿瘤浸润淋巴细胞 (TIL) 也在指导免疫疗法决策方面发挥着至关重要的作用。尽管取得了这些进展,但生物标记物的验证、标准化、与临床实践的整合以及与成本相关的障碍等方面仍然存在挑战。单细胞测序和机器学习等新兴技术为进一步探索提供了前景广阔的途径。要充分利用生物标志物的潜力,最终通过个性化治疗方法彻底改变 HCC 的管理并改善患者的预后,研究人员、医疗保健提供者和政策制定者之间的持续研究与合作投资至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cytokine & Growth Factor Reviews
Cytokine & Growth Factor Reviews 生物-生化与分子生物学
CiteScore
21.10
自引率
1.50%
发文量
61
审稿时长
22 days
期刊介绍: Cytokine & Growth Factor Reviews is a leading publication that focuses on the dynamic fields of growth factor and cytokine research. Our journal offers a platform for authors to disseminate thought-provoking articles such as critical reviews, state-of-the-art reviews, letters to the editor, and meeting reviews. We aim to cover important breakthroughs in these rapidly evolving areas, providing valuable insights into the multidisciplinary significance of cytokines and growth factors. Our journal spans various domains including signal transduction, cell growth and differentiation, embryonic development, immunology, tumorigenesis, and clinical medicine. By publishing cutting-edge research and analysis, we aim to influence the way researchers and experts perceive and understand growth factors and cytokines. We encourage novel expressions of ideas and innovative approaches to organizing content, fostering a stimulating environment for knowledge exchange and scientific advancement.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信