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肺癌转基因小鼠模型中辐射增强的肺癌进展可预测人类肺癌和乳腺癌的预后。

Radiation-enhanced lung cancer progression in a transgenic mouse model of lung cancer is predictive of outcomes in human lung and breast cancer.

作者信息

Delgado Oliver, Batten Kimberly G, Richardson James A, Xie Xian-Jin, Gazdar Adi F, Kaisani Aadil A, Girard Luc, Behrens Carmen, Suraokar Milind, Fasciani Gail, Wright Woodring E, Story Michael D, Wistuba Ignacio I, Minna John D, Shay Jerry W

机构信息

Authors' Affiliations: Departments of Cell Biology; Pathology; Molecular Biology; Plastic Surgery; and Clinical Sciences; Simmons Comprehensive Cancer Center; Hamon Center for Therapeutic Oncology; Departments of Internal Medicine; Pharmacology; and Radiation Oncology, UT Southwestern Medical Center, Dallas; Departments of Thoracic/Head and Neck Medical Oncology; and Translational Molecular Pathology; The University of Texas MD Anderson Cancer Center, Houston, Texas; and Center of Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah, Saudi Arabia.

出版信息

Clin Cancer Res. 2014 Mar 15;20(6):1610-22. doi: 10.1158/1078-0432.CCR-13-2589. Epub 2014 Jan 31.

Abstract

PURPOSE

Carcinogenesis is an adaptive process between nascent tumor cells and their microenvironment, including the modification of inflammatory responses from antitumorigenic to protumorigenic. Radiation exposure can stimulate inflammatory responses that inhibit or promote carcinogenesis. The purpose of this study is to determine the impact of radiation exposure on lung cancer progression in vivo and assess the relevance of this knowledge to human carcinogenesis.

EXPERIMENTAL DESIGN

K-ras(LA1) mice were irradiated with various doses and dose regimens and then monitored until death. Microarray analyses were performed using Illumina BeadChips on whole lung tissue 70 days after irradiation with a fractionated or acute dose of radiation and compared with age-matched unirradiated controls. Unique group classifiers were derived by comparative genomic analysis of three experimental cohorts. Survival analyses were performed using principal component analysis and k-means clustering on three lung adenocarcinoma, three breast adenocarcinoma, and two lung squamous carcinoma annotated microarray datasets.

RESULTS

Radiation exposure accelerates lung cancer progression in the K-ras(LA1) lung cancer mouse model with dose fractionation being more permissive for cancer progression. A nonrandom inflammatory signature associated with this progression was elicited from whole lung tissue containing only benign lesions and predicts human lung and breast cancer patient survival across multiple datasets. Immunohistochemical analyses suggest that tumor cells drive predictive signature.

CONCLUSIONS

These results demonstrate that radiation exposure can cooperate with benign lesions in a transgenic model of cancer by affecting inflammatory pathways, and that clinically relevant similarities exist between human lung and breast carcinogenesis.

摘要

目的

肿瘤发生是新生肿瘤细胞与其微环境之间的适应性过程,包括炎症反应从抗肿瘤向促肿瘤的转变。辐射暴露可刺激抑制或促进肿瘤发生的炎症反应。本研究的目的是确定辐射暴露对体内肺癌进展的影响,并评估这一知识与人类肿瘤发生的相关性。

实验设计

用不同剂量和剂量方案对K-ras(LA1)小鼠进行辐射,然后监测直至死亡。在用分次或急性剂量辐射70天后,使用Illumina BeadChips对全肺组织进行微阵列分析,并与年龄匹配的未辐射对照进行比较。通过对三个实验队列的比较基因组分析得出独特的组分类器。使用主成分分析和k均值聚类对三个肺腺癌、三个乳腺腺癌和两个肺鳞癌注释微阵列数据集进行生存分析。

结果

在K-ras(LA1)肺癌小鼠模型中,辐射暴露加速肺癌进展,剂量分割对癌症进展更有利。从仅含有良性病变的全肺组织中引发了与这种进展相关的非随机炎症特征,并预测了多个数据集中人类肺癌和乳腺癌患者的生存情况。免疫组织化学分析表明肿瘤细胞驱动预测特征。

结论

这些结果表明,在癌症转基因模型中,辐射暴露可通过影响炎症途径与良性病变协同作用,并且人类肺癌和乳腺癌发生之间存在临床相关的相似性。

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