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Circulating microRNA screening of high-risk individuals enrolled in COSMOS lung cancer screening trial.

ABSTRACT: Lung cancer is the leading cause of cancer death worldwide. Low-dose computed tomography screening (LDCT) was recently shown to anticipate the time of diagnosis, thus reducing lung cancer mortality. We identifed a serum microRNA signature (the miR-Test) that could identify the optimal target population for LDCT screening. Here, we performed a large-scale validation study of the miR-Test in high-risk individuals enrolled in the Continuous Observation of Smoking Subjects (COSMOS) lung cancer screening program.

ORGANISM(S): Homo sapiens

PROVIDER: GSE76462 | GEO | 2016/02/29

SECONDARY ACCESSION(S): PRJNA307356

REPOSITORIES: GEO

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Circulating microRNA screening of high-risk individuals enrolled in COSMOS lung cancer screening trial.

Project description:Lung cancer is the leading cause of cancer death worldwide. Low-dose computed tomography screening (LDCT) was recently shown to anticipate the time of diagnosis, thus reducing lung cancer mortality. We identifed a serum microRNA signature (the miR-Test) that could identify the optimal target population for LDCT screening. Here, we performed a large-scale validation study of the miR-Test in high-risk individuals enrolled in the Continuous Observation of Smoking Subjects (COSMOS) lung cancer screening program. RT-qPCR of circulating microRNA purified from serum samples. Trizol-LS and miRNEASY Mini kit (Qiagen) were used for miRNA purification. Custom TaqManÂ® Low Density Array microRNA Custom Panel (Life Technologies) was used to screen serum circulating microRNA.

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Project description:Mammographic breast cancer screening is effective in reducing breast cancer mortality. Nevertheless, several limitations are known. The objective of this study was to identify circulating microRNAs (miRs) ratios associated with BC in women attending mammography screening. A nested case-control study was conducted within the ANDROMEDA cohort (women of age 46-67 attending BC screening in northern Italy), where pre-diagnostic plasma samples, information on life-styles and common BC risk factors were collected. Small RNA sequencing was carried out on plasma samples from 65 cases and 66 controls. miR-ratios associated with BC were selected by two-sample Wilcoxon test and lasso logistic regression. Subsequent assessment by RT-qPCR of the miRs contained in the selected miR-ratios was carried out as a platform validation. Penalized logistic regression was further applied to candidate miR-ratios alone, or in combination with non-molecular factors, to build a diagnostic model.

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