Micrornas as novel biomarkers for the diagnosis of lung cancer

Pollet Bet benyamin,1 Mehdi norouzi,2 Saman yasamineh,3,*

1. Undergraduate cellular and molecular Biology, Institute of Higher Education Rab-Rashid, Tabriz, Iran
2. Undergraduate Genetic, Institute of Higher Education Rab-Rashid, Tabriz, Iran
3. Undergraduate Biotechnology, Institute of Higher Education Rab-Rashid, Tabriz, Iran

Abstract

Introduction

Lung cancer is one of the most common types of cancers, being divided into nsclc and sclc classes, histologically. cytology, chest radiographs and computed tomography are using in the diagnosis of lung cancer .these diagnosis methods cannot respond of lung cancer due to less precision and side effects. micrornas (mirnas) are a class of non-coding rna have 19 to 25 nucleotides. mirnas are key regulators of cancer by increasing and decreasing the expression of oncogene and tumour suppressor genes. mirnas have different function on de lung cancer inhibiting cell growth and inducing apoptosis in lung cancer cells. circulating mirnas are circulated in various body fluid they are good biomarkers for lung cancer. the expression level of mirnas can be identified by qrt-pcr, microarray, northern blotting, and nanoparticles. level of mirnas in samples such as mir-145-5p, mir-21-5p, mir-221-3p, mir-222-5p, mir-20a-5p, mir-146a-5p, mir-223-3, mir-21-5p, mir-141- 3p, mir-145-5p, mir-20a-5p, mir-155-5p, mir-223-3p, and … showed lung cancer types and stage of this cancer.

Methods

In this review we used online database such as mirbase, ncbi (pubmed), and google scholar. this research is the result of a survey of more than 190 articles of which 75 articles are directly used in this study.

Results

Mirna detection in lung cancer patients has become the core of different research. mirnas-based tests can be used for early clinical diagnosis and prediction of clinical consequences of lung cancer. studying the role of mirnas in lung cancer development and its relationship with diagnostic and prognostic parameters might help to improve the sensitivity of diagnosis and the efficacy of lung cancer treatment. detection of mirnas are very suitable, high sensitive, selective, rapid, and inexpensive, and so mirna as potential biomarkers for lung cancer. to this end, the progress of a multitude of detection method for mirna profiling analysis has been necessary.

Conclusion

In this review we focused on characterizing mirna as potential biomarkers for lung cancer. these paper can possible form the basis for the progress of a standardized diagnostic test that can be used for early diagnosis of lung cancer equally well.

Keywords

Lung cancer, microrna, circulating mirnas, diagnosis