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探索局部晚期直肠癌新辅助放化疗反应的新型遗传和血液学预测指标。

Exploring novel genetic and hematological predictors of response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer.

作者信息

Marinkovic Mladen, Stojanovic-Rundic Suzana, Stanojevic Aleksandra, Ostojic Marija, Gavrilovic Dusica, Jankovic Radmila, Maksimovic Natasa, Stroggilos Rafael, Zoidakis Jerome, Castellví-Bel Sergi, Fijneman Remond J A, Cavic Milena

机构信息

Department of Radiation Oncology, Clinic for Radiation Oncology and Diagnostics, Institute for Oncology and Radiology of Serbia, Belgrade, Serbia.

Faculty of Medicine, University of Belgrade, Belgrade, Serbia.

出版信息

Front Genet. 2023 Aug 31;14:1245594. doi: 10.3389/fgene.2023.1245594. eCollection 2023.

Abstract

The standard treatment for locally advanced rectal cancer (LARC) is neoadjuvant chemoradiotherapy (nCRT). To select patients who would benefit the most from nCRT, there is a need for predictive biomarkers. The aim of this study was to evaluate the role of clinical, pathological, radiological, inflammation-related genetic, and hematological parameters in the prediction of post-nCRT response. analysis of published transcriptomics datasets was conducted to identify candidate genes, whose expression will be measured using quantitative Real Time PCR (qRT-PCR) in pretreatment formaline-fixed paraffin-embedded (FFPE) samples. In this study, 75 patients with LARC were prospectively included between June 2020-January 2022. Patients were assessed for tumor response in week 8 post-nCRT with pelvic MRI scan and rigid proctoscopy. For patients with a clinical complete response (cCR) and initially distant located tumor no immediate surgery was suggested ("watch and wait" approach). The response after surgery was assessed using histopathological tumor regression grading (TRG) categories from postoperative specimens by Mandard. Responders (R) were defined as patients with cCR without operative treatment, and those with TRG 1 and TRG 2 postoperative categories. Non-responders (NR) were patients classified as TRG 3-5. Responders group comprised 35 patients (46.6%) and NR group 53.4% of patients. Analysis of published transcriptomics data identified genes that could predict response to treatment and their significance was assessed in our cohort by qRT-PCR. When comparison was made in the subgroup of patients who were operated (TRG1 vs. TRG4), the expression of IDO1 was significantly deregulated ( < 0.05). Among hematological parameters between R and NR a significant difference in the response was detected for neutrophil-to-monocyte ratio (NMR), initial basophil, eosinophil and monocyte counts ( < 0.01). According to MRI findings, non-responders more often presented with extramural vascular invasion ( < 0.05). Based on logistic regression model, factors associated with favorable response to nCRT were tumor morphology and hematological parameters which can be easily and routinely derived from initial laboratory results (NMR, eosinophil, basophil and monocyte counts) in a minimally invasive manner. Using various metrics, an aggregated score of the initial eosinophil, basophil, and monocyte counts demonstrated the best predictive performance.

摘要

局部晚期直肠癌(LARC)的标准治疗方法是新辅助放化疗(nCRT)。为了选择能从nCRT中获益最大的患者,需要预测性生物标志物。本研究的目的是评估临床、病理、放射学、炎症相关基因和血液学参数在预测nCRT后反应中的作用。对已发表的转录组学数据集进行分析以识别候选基因,其表达将在预处理的福尔马林固定石蜡包埋(FFPE)样本中使用定量实时聚合酶链反应(qRT-PCR)进行测量。在本研究中,2020年6月至2022年1月前瞻性纳入了75例LARC患者。在nCRT后第8周,通过盆腔磁共振成像(MRI)扫描和硬性直肠镜检查评估患者的肿瘤反应。对于临床完全缓解(cCR)且最初肿瘤位于远处的患者,不建议立即手术(“观察等待”方法)。术后使用曼德尔(Mandard)提出的组织病理学肿瘤退缩分级(TRG)类别评估手术反应。反应者(R)定义为未经手术治疗的cCR患者,以及术后TRG 1和TRG 2类别的患者。无反应者(NR)为分类为TRG 3 - 5的患者。反应者组包括35例患者(46.6%),NR组占患者的53.4%。对已发表的转录组学数据的分析确定了可预测治疗反应的基因,并通过qRT-PCR在我们的队列中评估了它们的意义。在接受手术的患者亚组(TRG1与TRG4)中进行比较时,吲哚胺2,3-双加氧酶1(IDO1)的表达有显著失调(<0.05)。在R组和NR组的血液学参数中,检测到中性粒细胞与单核细胞比值(NMR)、初始嗜碱性粒细胞、嗜酸性粒细胞和单核细胞计数的反应存在显著差异(<0.01)。根据MRI结果,无反应者更常出现壁外血管侵犯(<0.05)。基于逻辑回归模型,与nCRT良好反应相关的因素是肿瘤形态和血液学参数,这些参数可以以微创方式轻松且常规地从初始实验室结果(NMR、嗜酸性粒细胞、嗜碱性粒细胞和单核细胞计数)中获得。使用各种指标,初始嗜酸性粒细胞、嗜碱性粒细胞和单核细胞计数的综合评分显示出最佳预测性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27d2/10501402/fbf7dc4d09e5/fgene-14-1245594-g001.jpg

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