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一种基于放疗的六基因预后和预测标志物,用于非小细胞肺癌早期和局部晚期阶段

A Six-Gene Prognostic and Predictive Radiotherapy-Based Signature for Early and Locally Advanced Stages in Non-Small-Cell Lung Cancer.

作者信息

Peinado-Serrano Javier, Quintanal-Villalonga Álvaro, Muñoz-Galvan Sandra, Verdugo-Sivianes Eva M, Mateos Juan C, Ortiz-Gordillo María J, Carnero Amancio

机构信息

Instituto de Biomedicina de Sevilla, IBIS, Hospital Universitario Virgen del Rocío, Consejo Superior de Investigaciones Científicas, Universidad de Sevilla, Avda. Manuel Siurot s/n, 41013 Seville, Spain.

CIBERONC, Instituto de Salud Carlos III, 28029 Madrid, Spain.

出版信息

Cancers (Basel). 2022 Apr 19;14(9):2054. doi: 10.3390/cancers14092054.

DOI:10.3390/cancers14092054
PMID:35565183
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9099638/
Abstract

Non-small-cell lung cancer (NSCLC) is the leading cause of cancer death worldwide, generating an enormous economic and social impact that has not stopped growing in recent years. Cancer treatment for this neoplasm usually includes surgery, chemotherapy, molecular targeted treatments, and ionizing radiation. The prognosis in terms of overall survival (OS) and the disparate therapeutic responses among patients can be explained, to a great extent, by the existence of widely heterogeneous molecular profiles. The main objective of this study was to identify prognostic and predictive gene signatures of response to cancer treatment involving radiotherapy, which could help in making therapeutic decisions in patients with NSCLC. To achieve this, we took as a reference the differential gene expression pattern among commercial cell lines, differentiated by their response profile to ionizing radiation (radiosensitive versus radioresistant lines), and extrapolated these results to a cohort of 107 patients with NSCLC who had received radiotherapy (among other therapies). We obtained a six-gene signature (, , , , , and ) with the ability to predict overall survival and progression-free survival (PFS), which could translate into a prediction of the response to the cancer treatment received. Patients who had an unfavorable prognostic signature had a median OS of 24.13 months versus 71.47 months for those with a favorable signature, and the median PFS was 12.65 months versus 47.11 months, respectively. We also carried out a univariate analysis of multiple clinical and pathological variables and a bivariate analysis by Cox regression without any factors that substantially modified the HR value of the proposed gene signature.

摘要

非小细胞肺癌(NSCLC)是全球癌症死亡的主要原因,产生了巨大的经济和社会影响,且近年来这种影响一直在持续增长。针对这种肿瘤的癌症治疗通常包括手术、化疗、分子靶向治疗和电离辐射。总体生存(OS)方面的预后以及患者之间不同的治疗反应,在很大程度上可以通过广泛存在的异质性分子特征来解释。本研究的主要目的是确定涉及放疗的癌症治疗反应的预后和预测基因特征,这有助于为NSCLC患者做出治疗决策。为实现这一目标,我们以商业细胞系之间的差异基因表达模式为参考,这些细胞系根据其对电离辐射的反应特征(放射敏感与放射抗性细胞系)进行区分,并将这些结果外推至107例接受过放疗(以及其他治疗)的NSCLC患者队列。我们获得了一个六基因特征(、、、、、和),其能够预测总体生存和无进展生存(PFS),这可以转化为对所接受癌症治疗反应的预测。预后特征不利的患者中位OS为24.13个月,而预后特征良好的患者为71.47个月,中位PFS分别为12.65个月和47.11个月。我们还对多个临床和病理变量进行了单变量分析,并通过Cox回归进行了双变量分析,没有任何因素能显著改变所提出基因特征的HR值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/b7f0d491026b/cancers-14-02054-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/0ff67380de60/cancers-14-02054-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/725a7282844c/cancers-14-02054-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/76bd11b914bc/cancers-14-02054-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/fd1e0c0453b5/cancers-14-02054-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/dcb2f04fb4b5/cancers-14-02054-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/b7f0d491026b/cancers-14-02054-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/0ff67380de60/cancers-14-02054-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/725a7282844c/cancers-14-02054-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/76bd11b914bc/cancers-14-02054-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/fd1e0c0453b5/cancers-14-02054-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/dcb2f04fb4b5/cancers-14-02054-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d3f/9099638/b7f0d491026b/cancers-14-02054-g006.jpg

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