Circulating mir-320a promotes immunosuppressive macrophages M2 phenotype associated with lung cancer risk

miRNAs play a central role in the complex signaling network of cancer cells with the tumor microenvironment. Little is known on the origin of circulating miRNAs and their relationship with the tumor microenvironment in lung cancer. Here, we focused on the cellular source and relative contribution of different cell types to circulating miRNAs composing our risk classifier of lung cancer using in vitro/in vivo models and clinical samples. A cell‐type specific expression pattern and topography of several miRNAs such as mir‐145 in fibroblasts, mir‐126 in endothelial cells, mir‐133a in skeletal muscle cells was observed in normal and lung cancer tissues. Granulocytes and platelets are the major …

P2.01-017 Circulating miRNAs in Lung Cancer Are Associated to Pro-Tumorigenic and Immunosuppressive Microenvironment

Methylation profile in tumor and sputum samples of lung cancer patients detected by spiral computed tomography: A nested case-control study

We evaluated the aberrant promoter methylation profile of a panel of 3 genes in DNA from tumor and sputum samples, in view of a complementary approach to spiral computed tomography (CT) for early diagnosis of lung cancer. The aberrant promoter methylation of RARbeta2, p16(INK4A) and RASSF1A genes was evaluated by methylation-specific PCR in tumor samples of 29 CT-detected lung cancer patients, of which 18 had tumor-sputum pairs available for the analysis, and in the sputum samples from 112 cancer-free heavy smokers enrolled in a spiral CT trial. In tumor samples from 29 spiral CT-detected patients, promoter hypermethylation was identified in 19/29 (65.5%) cases for RARbeta2, 12/29 (41.4%) f…

Abstract 4981: Circulating mir-320 promotes immunosuppressive macrophages M2 phenotype associated with lung cancer progression

Abstract INTRODUCTION miRNAs play a role in the complex network of signaling between cancer cells and tumor microenvironment. We previously reported the identification of diagnostic miRNA signatures (MSC) based on 24-miRNAs in plasma samples of lung cancer patients detected by low dose computed tomography (LDCT) screening. MATERIAL and METHODS To evaluate the potential origin of the miRNAs of the diagnostic signature, we analyzed their expression by real-time or digital PCR in both cells and conditioned medium (CM) from different cell types of the lung microenvironment as well as in plasma samples of heavy smokers and patients. Lung tissues and cell-blocks were analyzed by miRNAs in situ hy…