CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:DCIS Progression and the Tumor Microenvironment: Molecular Insights and Prognostic Challenges.
DCIS Progression and the Tumor Microenvironment: Molecular Insights and Prognostic Challenges.
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导管原位癌(DCIS)是最常见的非浸润性乳腺癌形式,也是公认的浸润性导管癌(IDC)前驱病变。尽管DCIS本身局限于乳腺导管内且不会立即危及生命,但其进展为浸润性疾病的潜力要求进行谨慎的临床管理。由于影像学技术的进步和广泛筛查项目的开展,DCIS的检出率增加,这引发了关于其分类、预后和最佳治疗策略的关键问题。虽然大多数病例表现为惰性行为,但其他病例具有驱动恶性转化的分子特征。一个关键挑战在于区分可能永远不会进展的低风险DCIS与需要干预的侵袭性病例。肿瘤微环境动态、免疫细胞浸润以及分子改变,包括激素受体(HR)状态、人表皮生长因子2(HER2)表达和基因突变,在决定疾病轨迹中发挥关键作用。本综述探讨DCIS进展的生物学和分子机制,重点关注肌上皮细胞、TIL(肿瘤浸润淋巴细胞)和微环境因素。通过整合近期研究发现,本文旨在完善风险分层方法并指导未来个性化DCIS管理策略。改进的预后生物标志物和靶向治疗干预有助于优化治疗决策,在有效预防癌症的需求与尽量减少低风险患者过度治疗之间取得平衡。
Ductal carcinoma in situ (DCIS) is the most common form of non-invasive breast cancer and a recognized precursor to invasive ductal carcinoma (IDC). Although DCIS itself is confined to the milk duct and not immediately life-threatening, its potential for progression to invasive disease necessitates careful clinical management. The increased detection of DCIS due to advancements in imaging and widespread screening programs has raised critical questions regarding its classification, prognosis, and optimal treatment strategies. While most cases exhibit indolent behavior, others harbor molecular characteristics that drive malignant transformation. A key challenge lies in distinguishing low-risk DCIS, which may never progress, from aggressive cases requiring intervention.
Tumor microenvironment dynamics, immune cell infiltration, and molecular alterations, including hormone receptor (HR) status, human epidermal growth factor 2 (HER2) expression, and genetic mutations, play crucial roles in determining disease trajectory. This review explores the biological and molecular mechanisms underlying DCIS progression, with an emphasis on myoepithelial cells, tumor-infiltrating lymphocytes, and microenvironmental factors.
By integrating recent findings, this article aims to refine risk stratification approaches and guide future strategies for personalized DCIS management. Improved prognostic biomarkers and targeted therapeutic interventions could help optimize treatment decisions, balancing the need for effective cancer prevention while minimizing overtreatment in low-risk patients.
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