代谢组学在乳腺癌研究中的应用。

Julia Füreder,Eva S Schernhammer,A Heather Eliassen,Sabina Sieri,Benedikt Warth
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引用次数: 0

摘要

乳腺癌(BC)仍然是世界范围内女性中最普遍的恶性肿瘤。虽然遗传易感性和生殖史是其发展的关键因素,但可改变的风险因素也很重要,特别是那些与生活方式行为有关的因素,往往影响内源性代谢组。在过去的十年中,基于质谱的代谢组学已经能够对代谢组学和BC风险之间的相关性进行不可知的研究。在这里,我们回顾了前瞻性巢式病例对照研究的最新结果,这些研究已经确定了随后发生BC的女性和未发生BC的女性之间代谢物的显著差异。由于这些发现的复制仍然有限,我们强调需要进行强有力的定量验证研究,在不同人群中进行癌症亚型特异性分析,并扩大分析分析的化学空间覆盖范围。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Metabolomics-enabled biomarker discovery in breast cancer research.
Breast cancer (BC) remains the most prevalent malignancy among women worldwide. While genetic predisposition and reproductive history are key contributors to its development, modifiable risk factors are also important, particularly those linked to lifestyle behaviors, often influencing the endogenous metabolome. Over the past decade, mass spectrometry-based metabolomics has enabled agnostic investigations into correlations between the metabolome and BC risk. Here we review recent results from prospective nested case-control studies, which have led to the identification of significantly different metabolites between women who subsequently developed BC and those who did not. As replication of these findings remains limited, we emphasize the need for robust quantitative validation studies, cancer subtype-specific analyses in diverse populations, and expanded chemical space coverage of analytical assays.
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