{"title":"Advances in research on receptor heterogeneity in breast cancer liver metastasis.","authors":"Qinyu Liu, Runze Huang, Xin Jin, Xuanci Bai, Wei Tang, Lu Wang, Kenji Karako, Weiping Zhu","doi":"10.5582/bst.2025.01046","DOIUrl":null,"url":null,"abstract":"<p><p>Breast cancer liver metastasis (BCLM) presents a critical challenge in breast cancer treatment and has substantial epidemiological and clinical significance. Receptor status is pivotal in managing both primary breast cancer and its liver metastases. Moreover, shifts in these statuses can have a profound impact on patient treatment strategies and prognoses. Research has indicated that there is significant heterogeneity in receptor status between primary breast cancer and liver metastases. This variation may be influenced by a multitude of factors, such as therapeutic pressure, inherent tumor heterogeneity, clonal evolution, and the unique microenvironment of the liver. Changes in the receptor status of BCLM are crucial for adjusting treatment strategies, and liver biopsy plays an important role in the treatment process. Directions for future research targeting changes in receptor status include in-depth study of molecular mechanisms, combined treatment strategies for receptor status reversal, development of artificial intelligence deep learning models to predict receptor status in liver metastases, and clinical research on new drug development and combination therapies. That research will provide more precise treatment strategies for patients with BCLM and improve their prognosis.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":"19 2","pages":"165-172"},"PeriodicalIF":5.7000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioscience trends","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.5582/bst.2025.01046","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/15 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Breast cancer liver metastasis (BCLM) presents a critical challenge in breast cancer treatment and has substantial epidemiological and clinical significance. Receptor status is pivotal in managing both primary breast cancer and its liver metastases. Moreover, shifts in these statuses can have a profound impact on patient treatment strategies and prognoses. Research has indicated that there is significant heterogeneity in receptor status between primary breast cancer and liver metastases. This variation may be influenced by a multitude of factors, such as therapeutic pressure, inherent tumor heterogeneity, clonal evolution, and the unique microenvironment of the liver. Changes in the receptor status of BCLM are crucial for adjusting treatment strategies, and liver biopsy plays an important role in the treatment process. Directions for future research targeting changes in receptor status include in-depth study of molecular mechanisms, combined treatment strategies for receptor status reversal, development of artificial intelligence deep learning models to predict receptor status in liver metastases, and clinical research on new drug development and combination therapies. That research will provide more precise treatment strategies for patients with BCLM and improve their prognosis.
乳腺癌肝转移(Breast cancer liver metastasis, BCLM)是乳腺癌治疗的一个重要挑战,具有重要的流行病学和临床意义。受体状态在原发性乳腺癌及其肝转移的治疗中起关键作用。此外,这些状态的变化会对患者的治疗策略和预后产生深远的影响。研究表明,原发性乳腺癌和肝转移性乳腺癌的受体状态存在显著的异质性。这种变异可能受到多种因素的影响,如治疗压力、固有的肿瘤异质性、克隆进化和肝脏独特的微环境。BCLM受体状态的变化对调整治疗策略至关重要,肝活检在治疗过程中起着重要作用。未来针对受体状态变化的研究方向包括深入研究分子机制、受体状态逆转的联合治疗策略、开发人工智能深度学习模型预测肝转移中受体状态、新药开发和联合治疗的临床研究等。该研究将为BCLM患者提供更精确的治疗策略并改善其预后。
期刊介绍:
BioScience Trends (Print ISSN 1881-7815, Online ISSN 1881-7823) is an international peer-reviewed journal. BioScience Trends devotes to publishing the latest and most exciting advances in scientific research. Articles cover fields of life science such as biochemistry, molecular biology, clinical research, public health, medical care system, and social science in order to encourage cooperation and exchange among scientists and clinical researchers.