Analysis of the Radiosensitivity Index (RSI) in Paired Pre- and Post-Neoadjuvant Therapy Triple-Negative Breast Cancer.

IF 6.5 1区 医学 Q1 ONCOLOGY
Shane R Stecklein, Roberto Salgado, Julia R White, Bruce F Kimler, Rachel Yoder, Joshua M Staley, Anne P O'Dea, Lauren E Nye, Deepti Satelli, Gregory J Crane, Rashna Madan, Maura F O'Neil, Andrew K Godwin, Harsh Pathak, Qamar J Khan, Joyce O'Shaughnessy, Priyanka Sharma
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引用次数: 0

Abstract

Purpose: The radiosensitivity index (RSI) is a validated gene expression-based biomarker that can predict intrinsic radiosensitivity and has been shown to be associated with local control in triple-negative breast cancer (TNBC) patients treated with upfront surgery. Currently, most patients with TNBC receive neoadjuvant systemic therapy (NAST). Whether the RSI predicts response to NAST and how the RSI and predicted radiosensitivity are altered by exposure to NAST is unknown.

Methods: Total RNA was extracted from pre-treatment core needle biopsy specimens from 197 TNBC patients treated on the *** (***) and *** (***) trials. Total RNA was also extracted from paired post-NAST (residual disease) tumor tissue on 58 patients. A published algorithm using 10 genes was used to compute the RSI for each tumor. Stromal tumor infiltrating lymphocytes (sTILs) were scored on pre-treatment and post-NAST samples by one expert breast pathologist according to international consensus guidelines. CIBERSORTx was used to impute leukocyte fractions in samples using RNA sequencing data.

Results: Cluster analysis of RSI genes in pre-treatment samples revealed immune-depleted (RSI-iD) and immune-enriched (RSI-iE) groups, and this classification was strongly associated with sTIL infiltration (P<0.0001) and likelihood of achieving pathologic complete response (pCR) (P=0.001). RSI showed associations (FDR q<0.01) with M0 and M1 macrophages, CD4+ memory resting, CD4+ memory activated, CD8+, and follicular helper T-cells, activated NK cells, naïve and memory B cells, and resting dendritic cells on CIBERSORTx leukocyte deconvolution. In the entire cohort, NAST-induced change in RSI was variable, but amongst initially RSI-iE tumors that did not achieve pCR, there was a significant decrease in predicted radiosensitivity between paired pre-treatment and post-NAST samples. NAST-induced reduction in sTILs and naïve B cells may be associated with this decrease in radiosensitivity.

Conclusions: Pre-treatment RSI cluster identity is associated with the degree of immune enrichment and response to NAST in TNBC. Initially immune-enriched TNBCs that do not achieve a pathologic complete response to NAST exhibit a decrease in predicted radiosensitivity compared to paired pre-treatment tumors.

配对新辅助治疗前后三阴性乳腺癌放射敏感性指数(RSI)分析。
目的:放射敏感性指数(RSI)是一种经过验证的基于基因表达的生物标志物,可以预测内在的放射敏感性,并已被证明与接受前期手术治疗的三阴性乳腺癌(TNBC)患者的局部控制相关。目前,大多数TNBC患者接受新辅助全身治疗(NAST)。RSI是否能预测对NAST的反应,以及RSI和预测的放射敏感性如何因暴露于NAST而改变尚不清楚。方法:从***(***)和***(***)试验中治疗的197例TNBC患者的治疗前针芯活检标本中提取总RNA。我们还从58例患者的配对后残留瘤组织中提取了总RNA。使用已发表的使用10个基因的算法来计算每个肿瘤的RSI。由一位乳腺病理学专家根据国际共识指南对治疗前和治疗后的样品进行基质肿瘤浸润淋巴细胞(sTILs)评分。CIBERSORTx使用RNA测序数据对样品中的白细胞组分进行估算。结果:预处理样本RSI基因聚类分析显示免疫缺失(RSI- id)和免疫富集(RSI- ie)组,这种分类与sTIL浸润密切相关(p)结论:预处理RSI聚类身份与TNBC中免疫富集程度和对NAST的反应有关。与配对的治疗前肿瘤相比,最初免疫富集的tnbc未达到对NAST的病理完全反应,其预测的放射敏感性降低。
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来源期刊
CiteScore
11.00
自引率
7.10%
发文量
2538
审稿时长
6.6 weeks
期刊介绍: International Journal of Radiation Oncology • Biology • Physics (IJROBP), known in the field as the Red Journal, publishes original laboratory and clinical investigations related to radiation oncology, radiation biology, medical physics, and both education and health policy as it relates to the field. This journal has a particular interest in original contributions of the following types: prospective clinical trials, outcomes research, and large database interrogation. In addition, it seeks reports of high-impact innovations in single or combined modality treatment, tumor sensitization, normal tissue protection (including both precision avoidance and pharmacologic means), brachytherapy, particle irradiation, and cancer imaging. Technical advances related to dosimetry and conformal radiation treatment planning are of interest, as are basic science studies investigating tumor physiology and the molecular biology underlying cancer and normal tissue radiation response.
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