Plasma Cell-Free DNA Concentration and Fragmentomes Predict Neoadjuvant Chemotherapy Response in Cervical Cancer Patients.

IF 14.3 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Ting Peng, Haiqiang Zhang, Lingguo Li, Canhui Cao, Miaochun Xu, Xiaojie Liu, Shitong Lin, Ping Wu, Tian Chu, Binghan Liu, Yashi Xu, Yan Zhang, Yeqin Wang, Jinjin Yu, Wencheng Ding, Xin Jin, Peng Wu
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引用次数: 0

Abstract

Cervical cancer remains one of the most lethal gynecological malignancies. However, biomarkers for more precise patient care are an unmet need. Herein, the concentration of 285 plasma cell-free DNA (cfDNA) samples are analyzed from 84 cervical patients and the clinical significance of cfDNA fragmentomic characteristics across the neoadjuvant chemotherapy (NACT) treatment. Patients with poor NACT response exhibit a significantly greater escalation in cfDNA levels following the initial cycle of treatment, in comparison to patients with a favorable response. Distinctive end motif profiles and promoter coverages of cfDNA in initial plasma are observed between patients with differing NACT responses. Notably, the DNASE1L3 analysis further demonstrates the intrinsic association between cfDNA characteristics and chemotherapy resistance. The cfDNA and motif ratios show a good discriminative capacity for predicting non-responders from responders (area under the curve (AUC) > 0.8). In addition, transcriptional start sites (TSS) coverages around promoters discern the alteration of biological processes associated with chemotherapy resistance and reflect the potential value in predicting chemotherapy response. These findings in predictive biomarkers may optimize treatment selection, minimize unnecessary treatment, and assist in establishing personalized treatment strategies for cervical cancer patients.

血浆游离 DNA 浓度和片段组预测宫颈癌患者的新辅助化疗反应
宫颈癌仍然是最致命的妇科恶性肿瘤之一。然而,为患者提供更精确治疗的生物标志物仍是一项尚未满足的需求。本文分析了来自84名宫颈癌患者的285份血浆无细胞DNA(cfDNA)样本的浓度,以及cfDNA片段组学特征在新辅助化疗(NACT)治疗中的临床意义。与反应良好的患者相比,对新辅助化疗(NACT)反应不佳的患者在初始治疗周期后的 cfDNA 水平明显升高。在 NACT 反应不同的患者之间,初始血浆中 cfDNA 的末端基序图谱和启动子覆盖率各不相同。值得注意的是,DNASE1L3 分析进一步证明了 cfDNA 特征与化疗耐药性之间的内在联系。cfDNA 和图案比在预测非应答者和应答者方面显示出良好的鉴别能力(曲线下面积 (AUC) > 0.8)。此外,启动子周围的转录起始位点(TSS)覆盖率可判别与化疗耐药性相关的生物过程的改变,并反映出预测化疗反应的潜在价值。这些预测性生物标志物的发现可优化治疗选择,减少不必要的治疗,并有助于为宫颈癌患者制定个性化治疗策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advanced Science
Advanced Science CHEMISTRY, MULTIDISCIPLINARYNANOSCIENCE &-NANOSCIENCE & NANOTECHNOLOGY
CiteScore
18.90
自引率
2.60%
发文量
1602
审稿时长
1.9 months
期刊介绍: Advanced Science is a prestigious open access journal that focuses on interdisciplinary research in materials science, physics, chemistry, medical and life sciences, and engineering. The journal aims to promote cutting-edge research by employing a rigorous and impartial review process. It is committed to presenting research articles with the highest quality production standards, ensuring maximum accessibility of top scientific findings. With its vibrant and innovative publication platform, Advanced Science seeks to revolutionize the dissemination and organization of scientific knowledge.
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