多基因检测及二代测序在乳腺癌精准治疗与预后评估中的应用进展
Advances in the Application of Polygenic Testing and Next-Generation Sequencing in Precision Therapy and Prognostic Evaluation of Breast Cancer
摘要: 乳腺癌是严重危害女性健康的常见恶性肿瘤,优化其治疗策略始终是临床研究的核心方向。分子生物学技术的飞速发展,使多基因检测与二代测序(NGS)逐步成为推动乳腺癌精准诊疗的重要技术手段。这些方法可全面识别癌症驱动基因,依据基因变异特征匹配靶向药物,并借助循环肿瘤DNA (ctDNA)分析等技术实时监测疗效,为及时调整治疗策略提供依据。目前,多个与乳腺癌预后及治疗反应密切相关的基因已被发现并投入临床应用。本文系统回顾多基因检测与NGS在乳腺癌个体化治疗及预后评估中的最新研究进展,以期为临床工作提供借鉴。
Abstract: Breast cancer continues to be a major contributor to cancer-related illness and death in women globally, prompting ongoing efforts to optimize treatment strategies. Progress in molecular biology has accelerated the adoption of polygenic testing and next-generation sequencing (NGS) as essential components of breast cancer care. These approaches allow for the detection of driver mutations, facilitate the selection of targeted therapies according to genetic characteristics, and employ circulating tumor DNA (ctDNA) analysis for real-time tracking of therapeutic response. A growing number of genes linked to treatment efficacy and prognosis have been identified through continuous investigation. This article systematically reviews the latest research progress of polygenic testing and NGS in the personalized treatment and prognostic assessment of breast cancer, aiming to provide insights for clinical practice.
文章引用:吴雷. 多基因检测及二代测序在乳腺癌精准治疗与预后评估中的应用进展[J]. 临床医学进展, 2025, 15(12): 2376-2381. https://doi.org/10.12677/acm.2025.15123666

参考文献

[1] 曹晓珊, 丛斌斌. 精准医学时代三阴性乳腺癌治疗的研究进展[J]. 中国癌症杂志, 2019, 29(12): 971-976.
[2] 潘锋. 乳腺癌放疗步入个体化精准治疗时代——访中国工程院院士、山东省肿瘤医院院长于金明教授[J]. 中国当代医药, 2019, 26(36): 1-3.
[3] Callens, C., Driouch, K., Boulai, A., Tariq, Z., Comte, A., Berger, F., et al. (2021) Molecular Features of Untreated Breast Cancer and Initial Metastatic Event Inform Clinical Decision-Making and Predict Outcome: Long-Term Results of ESOPE, a Single-Arm Prospective Multicenter Study. Genome Medicine, 13, Article No. 44. [Google Scholar] [CrossRef] [PubMed]
[4] 张燕娜, 周易冬, 茅枫, 等. 21基因检测复发风险评分在激素受体阳性早期乳腺癌临床治疗和预后评估中的价值[J]. 中华肿瘤杂志, 2018, 40(2): 110-114.
[5] Wilson, P.C., Chagpar, A.B., Cicek, A.F., Bossuyt, V., Buza, N., Mougalian, S., et al. (2018) Breast Cancer Histopathology Is Predictive of Low-Risk Oncotype Dx Recurrence Score. The Breast Journal, 24, 976-980. [Google Scholar] [CrossRef] [PubMed]
[6] 邵志敏, 沈镇宇, 徐冰河. 乳腺肿瘤学[M]. 上海: 复旦大学出版社, 2022: 343-344.
[7] Audeh, W., Blumencranz, L., Kling, H., Trivedi, H. and Srkalovic, G. (2019) Prospective Validation of a Genomic Assay in Breast Cancer: The 70-Gene Mammaprint Assay and the MINDACT Trial. Acta Medica Academica, 48, 18-34. [Google Scholar] [CrossRef] [PubMed]
[8] Piccart, M., Veer, L.J., Poncet, C., Lopes Cardozo, J.M.N., Delaloge, S., Pierga, J., et al. (2021) 70-Gene Signature as an Aid for Treatment Decisions in Early Breast Cancer: Updated Results of the Phase 3 Randomised MINDACT Trial with an Exploratory Analysis by Age. The Lancet Oncology, 22, 476-488. [Google Scholar] [CrossRef] [PubMed]
[9] Shi, Y., Tsang, J.Y.S., Ni, Y., Chan, S., Chan, K. and Tse, G.M. (2015) FGFR1 Is an Adverse Outcome Indicator for Luminal a Breast Cancers. Oncotarget, 7, 5063-5073. [Google Scholar] [CrossRef] [PubMed]
[10] 杨玉庆, 黄美玲, 李南林, 等. 21基因在乳腺癌患者复发风险评估中的临床意义[J]. 西部医学, 2019, 31(7): 1030-1033+1042.
[11] Bartlett, J.M.S., Sgroi, D.C., Treuner, K., Zhang, Y., Ahmed, I., Piper, T., et al. (2019) Breast Cancer Index and Prediction of Benefit from Extended Endocrine Therapy in Breast Cancer Patients Treated in the Adjuvant Tamoxifen—To Offer More? (Attom) Trial. Annals of Oncology, 30, 1776-1783. [Google Scholar] [CrossRef] [PubMed]
[12] Kodali, S., Tipirneni, E. and Dittus, K. (2019) Utility of the Breast Cancer Index (BCI) in the Clinical Practice. Journal of Clinical Oncology, 37, e14723-e14723. [Google Scholar] [CrossRef
[13] Goldhirsch, A., Winer, E.P., Coates, A.S., et al. (2013) Personalizing the Treatment of Women with Early Breast Cancer: Highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Annals of Oncology, 24, 2206-2223.
[14] Palviainen, M., Laukkanen, K., Tavukcuoglu, Z., Velagapudi, V., Kärkkäinen, O., Hanhineva, K., et al. (2020) Cancer Alters the Metabolic Fingerprint of Extracellular Vesicles. Cancers, 12, Article 3292. [Google Scholar] [CrossRef] [PubMed]
[15] Shaw, J.A., Guttery, D.S., Hills, A., Fernandez-Garcia, D., Page, K., Rosales, B.M., et al. (2017) Mutation Analysis of Cell-Free DNA and Single Circulating Tumor Cells in Metastatic Breast Cancer Patients with High Circulating Tumor Cell Counts. Clinical Cancer Research, 23, 88-96. [Google Scholar] [CrossRef] [PubMed]
[16] Sestak, I., Filipits, M., Buus, R., Rudas, M., Balic, M., Knauer, M., et al. (2020) Prognostic Value of Endopredict in Women with Hormone Receptor-Positive, HER2-Negative Invasive Lobular Breast Cancer. Clinical Cancer Research, 26, 4682-4687. [Google Scholar] [CrossRef] [PubMed]