Analysis of microRNA Expression in Liquid-Based Cytology Samples May Be Useful for Primary Lung Cancer Diagnosis

Author:

Araki Yusuke1ORCID,Arihiro Koji2,Yamaguchi Kakuhiro1,Sakamoto Shinjiro1,Horimasu Yasushi1,Masuda Takeshi1,Miyamoto Shintaro1,Nakashima Taku1,Iwamoto Hiroshi1ORCID,Fujitaka Kazunori1,Hamada Hironobu3,Hattori Noboru1

Affiliation:

1. Department of Molecular and Internal Medicine, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

2. Department of Anatomical Pathology, Hiroshima University Hospital, Hiroshima, Japan

3. Department of Physical Analysis and Therapeutic Sciences, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan

Abstract

Abstract Objectives Bronchoscopy is frequently performed for patients suspected of having lung cancer; however, we sometimes fail to make a definitive diagnosis, resulting in additional invasive testing. Many studies indicate that microRNAs (miRs) are abnormally expressed in cancers. We examined the diagnostic value of 4 miRs (miR-21, miR-31, miR-182, and miR-183) extracted from liquid-based cytology (LBC) samples and validated whether they were diagnostically useful. Methods We collected 18 surgically resected tissue samples and 136 LBC specimens obtained during bronchoscopic examination at Hiroshima University Hospital. We extracted RNA from these samples and compared the expression of 4 miRs by reverse transcription–quantitative polymerase chain reaction. Results We confirmed that expression of the 4 miRs was significantly higher in cancer tissues than in tumor-adjacent normal tissues. We examined the expression of these miRs in 125 (cancer cases, 83; noncancer cases, 42) of 136 cytologic samples. Expression of all 4 miRs was significantly higher in patients with lung cancer than in those without lung cancer. Among samples judged as benign or indeterminate, levels of these miRs were also significantly higher in patients with lung cancer than in those without lung cancer. Conclusions The analysis of miR expression in LBC samples might be helpful for primary lung cancer diagnosis.

Publisher

Oxford University Press (OUP)

Subject

General Medicine

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