Department of Biotechnology, Karpagam Academy of Higher Education, Coimbatore, 641021, Tamil Nadu, India.
Virus Research and Diagnostics Laboratory, Department of Microbiology, Coimbatore Medical College, Coimbatore, India.
Med Oncol. 2023 Jul 14;40(8):238. doi: 10.1007/s12032-023-02111-9.
As the most frequent and vulnerable malignancy among women, breast cancer universally manifests a formidable healthcare challenge. From a biological and molecular perspective, it is a heterogenous disease and is stratified based on the etiological factors driving breast carcinogenesis. Notably, genetic predispositions and epigenetic impacts often constitute the heterogeneity of this disease. Typically, breast cancer is classified intrinsically into histological subtypes in clinical landscapes. These stratifications empower physicians to tailor precise treatments among the spectrum of breast cancer therapeutics. In this pursuit, numerous prognostic algorithms are extensively characterized, drastically changing how breast cancer is portrayed. Therefore, it is a basic requisite to comprehend the multidisciplinary rationales of breast cancer to assist the evolution of novel therapeutic strategies. This review aims at highlighting the molecular and genetic grounds of cancer additionally with therapeutic and phytotherapeutic context. Substantially, it also renders researchers with an insight into the breast cancer cell lines as a model paradigm for breast cancer research interventions.
作为女性中最常见和最脆弱的恶性肿瘤,乳腺癌普遍构成了严峻的医疗保健挑战。从生物学和分子角度来看,它是一种异质性疾病,并根据导致乳腺癌发生的病因因素进行分层。值得注意的是,遗传易感性和表观遗传影响通常构成了该疾病的异质性。通常,乳腺癌在临床环境中根据组织学亚型进行内在分类。这些分层使医生能够在乳腺癌治疗的范围内为患者量身定制精确的治疗方法。在这方面,许多预后算法得到了广泛的描述,极大地改变了乳腺癌的描绘方式。因此,理解乳腺癌的多学科原理以帮助制定新的治疗策略是基本要求。本综述旨在强调癌症的分子和遗传基础,以及治疗和植物治疗背景。此外,它还为研究人员提供了一个深入了解乳腺癌细胞系作为乳腺癌研究干预模型范例的机会。