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Potential Predictive Biomarkers of Systemic Drug Therapy for Hepatocellular Carcinoma: Anticipated Usefulness in Clinical Practice.

Author: KogaYuta, KuwanoAkifumi, MasumotoAkihide, MotomuraKenta, TanakaKosuke, YadaMasayoshi

Journal ArticleAn article published in an academic or professional journal that reports original research or scholarly analysis.
ReviewAn article that critically examines existing research on a particular topic and summarizes the current state of knowledge in the field.

Overview

This review provides an overview of systemic treatments for hepatocellular carcinoma (HCC), a type of liver cancer. It discusses the evolution of treatment options, from tyrosine kinase inhibitors (TKIs) to immune checkpoint inhibitors, and explores the need for biomarkers to predict the effectiveness of these treatments.
Paper Details　
Original Abstract of the Article :
In the systemic drug treatment of hepatocellular carcinoma, only the tyrosine kinase inhibitor (TKI) sorafenib was available for a period. This was followed by the development of regorafenib as a second-line treatment after sorafenib, and then lenvatinib, a new TKI, proved non-inferiority to sorafen...See full text at original site
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ラクダ博士は、Health Journal が論文の内容を分かりやすく解説するために作成した架空のキャラクターです。
難解な医学論文を、専門知識のない方にも理解しやすいように、噛み砕いて説明することを目指しています。

* ラクダ博士による解説は、あくまで論文の要点をまとめたものであり、原論文の完全な代替となるものではありません。詳細な内容については、必ず原論文をご参照ください。
* ラクダ博士は架空のキャラクターであり、実際の医学研究者や医療従事者とは一切関係がありません。
* 解説の内容は Health Journal が独自に解釈・作成したものであり、原論文の著者または出版社の見解を反映するものではありません。


引用元：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486942/

データ提供：米国国立医学図書館（NLM）

Predicting Treatment Efficacy in Hepatocellular Carcinoma: A Quest for Biomarkers

The systemic treatment of hepatocellular carcinoma (HCC) has progressed significantly, with the development of various tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors. However, predicting treatment efficacy remains a challenge. This [review] explores the potential of biomarkers to predict therapeutic efficacy in HCC, focusing on the need for practical tools to guide treatment decisions.

A Search for Predictive Power in the Desert of HCC Treatment

The authors delve into the vast landscape of research on potential biomarkers for HCC, exploring various sources, such as blood, tissue, and imaging information. The goal is to identify reliable markers that can predict the therapeutic efficacy of systemic therapy before treatment is initiated. The authors emphasize the significance of [personalized medicine] in HCC, where tailoring treatment based on individual patient characteristics is crucial.

The Promise of Biomarkers: Guiding the Path to Effective Treatment

The potential of biomarkers to guide treatment decisions in HCC is a hopeful prospect, offering the promise of more targeted and effective therapies. Accurate prediction of therapeutic efficacy could optimize treatment outcomes and minimize the risk of adverse effects, leading to better patient care. The search for reliable and practical biomarkers continues to be a key area of focus in HCC research.

Dr. Camel's Conclusion

This review is like a map leading through the vast desert of HCC research, pointing us towards promising avenues for improving treatment outcomes. The quest for predictive biomarkers is a journey of discovery, with the ultimate goal of providing patients with the best possible care. Further research and clinical trials are essential to validate the potential of these biomarkers and translate them into practical clinical applications.
Date :
  1. Date Completed n.d.
  2. Date Revised 2023-09-11
Further Info :

Pubmed ID

37686621

DOI: Digital Object Identifier

PMC10486942

Related Literature

Article Analysis
・Side Effects of lenvatinib
SNS
PICO Info
in preparation
Languages

English

Positive IndicatorAn AI analysis index that serves as a benchmark for how positive the results of the study are. Note that it is a benchmark and requires careful interpretation and consideration of different perspectives.

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