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Molecular Classification and Future Therapeutic Challenges of Triple-negative Breast Cancer

机译:分子分类和未来三重阴性乳腺癌的治疗挑战

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摘要

Triple-negative breast cancer (TNBC) is an extremely diverse group of breast tumors, with aggressive clinical behavior, higher rates of distant recurrence and worse overall survival compared to other types of breast cancers. The genetic, transcriptional histological and clinical heterogeneity of this disease has been an obstacle in the progression of targeted therapeutic approaches, as a ubiquitous TNBC marker has not yet been discerned. In terms of that, current studies focus on the classification of TNBC tumors in subgroups with similar characteristics in order to develop a treatment specialized for each group of patients. To date, a series of gene expression profiles analysis in order to identify the different molecular subtypes have been used. Complementary DNA microarrays, PAM50 assays, DNA and RNA sequencing as well as immunohistochemical analysis are some of the methods utilized to classify TNBC tumors. In 2012, the Cancer Genome Atlas (TCGA) Research Network conducted a major analysis of breast cancers using six different platforms, the genomic DNA copy number arrays, DNA methylation, exome sequencing, messenger RNA arrays, microRNA sequencing and reverse-phase protein arrays, in order to assort the tumors in homogenous subgroups. Since then, an increasing number of breast cancer data sets are being examined in an attempt to distinguish the classification with biological interpretation and clinical implementation. In this review, the progress in molecular subtyping of TNBC is discussed, providing a brief insight in novel TNBC biomarkers and therapeutic strategies.
机译:三阴性乳腺癌(TNBC)是一种极其不同的乳腺肿瘤,具有侵略性的临床行为,与其他类型的乳腺癌相比,遥远的复发率更高,总体存活率更高。这种疾病的遗传,转录组织学和临床异质性在靶向治疗方法的进展中是一种障碍,因为普遍存在的TNBC标记尚未被辨别。就此而言,目前的研究重点是具有相似特征的亚组中TNBC肿瘤的分类,以便开发专门为每组患者的治疗方法。迄今为止,已经使用了一系列基因表达谱分析以识别不同的分子亚型。互补DNA微阵列,PAM50测定,DNA和RNA测序以及免疫组化分析是用于分类TNBC肿瘤的一些方法。 2012年,癌症基因组Atlas(TCGA)研究网络使用六种不同平台进行了乳腺癌的重大分析,基因组DNA拷贝数阵列,DNA甲基化,外壳测序,信使RNA阵列,MicroRNA测序和反相蛋白阵列,为了在均质亚组中分配肿瘤。从那时起,正在检查越来越多的乳腺癌数据集,以试图将分类与生物解释和临床实施区分开来。在本综述中,讨论了TNBC分子群的进展,在新的TNBC生物标志物和治疗策略中提供了简要的洞察力。

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