The 5-year survival for patients with lung cancer remains dismal at approximately 15%. It has been estimated that early diagnosis of lung cancer can provide a 60-80% survival benefit. The National Lung Screening Trial (NLST) demonstrated a 20% relative reduction in lung cancer mortality with the use of annual low-dose computed tomography (LDCT) screening compared to annual chest x-ray. The difference in lung cancers identified was due to the identification of more early-stage lung cancers, as there was no difference in the number of stage IIB-IV cancers between groups. The authors concluded that LDCT screening reduced lung cancer mortality in appropriately selected high-risk patients. Unfortunately, nearly 40% of patients in the NLST had a positive screen at one point, with 96.4% of these being false positives. Accordingly, the International Association for the Study of Lung Cancer (IASLC) and the Strategic CT Screening Advisory Committee (SSAC) published a position statement calling for the increased use of blood-based biomarkers to augment the diagnostic accuracy of LDCT screening, so it is urgently necessary to develop new non-invasive methods, such as identifying blood molecular biomarkers, for early detection of lung cancer. Our immediate objective for this proposal is to identify circulating non-coding RNA (ncRNA) markers for the early detection of lung cancer using prospectively collected human blood samples. Very few studies have compared the expression profiles of circulating miRNA between benign lesions and lung cancer. Therefore, it is important to validate existing miRNA studies and identify potential novel circulating miRNA markers for early detection of lung cancer. In addition, recent studies have shown that other types of small ncRNAs such as small nucleolar RNAs (snoRNAs) and transfer RNAs (tRNAs) play important roles in cancer development and progression. However, there are no reports which use other types of circulating small ncRNAs as markers for lung cancer early detection. We hypothesize that circulating ncRNA could be used as biomarkers for early detection of lung cancer. Based on next generation small RNA sequencing, we have identified circulating plasma ncRNAs that are significantly differentiated in expression between non-malignant and lung cancer biospecimens. Moreover, although a series of publications have reported the potential circulating miRNA markers for early detection of lung cancer, they are quite inconsistent. In order to increase our sequencing power, evaluate our previous finding and other published biomarkers for early detection of lung cancer. Using prospectively collected plasma samples, in the proposed study, we would like to reach the following aims: 1. Measure the types and levels of ncRNA expression in human plasma from non-malignant and lung cancer biospecimens. 2. Evaluate ncRNA markers that vary reproducibly between non-malignant samples and lung cancer samples based on the real- time PCR platform. 3. Validate and test the predictive value of the ncRNA markers using independent samples.

Public Health Relevance

We seek to identify circulating small non-coding RNA (ncRNA) biomarkers in human blood for the early detection of lung cancer using new cutting technologies such as next generation small RNA sequencing, which aims to measure all the small circulating ncRNAs in a human body. The current CT scan approach has high false positive rate for distinguishing benign from malignant pulmonary nodules, and patients are frequently over-diagnosed and require further invasive screening. Results from the proposed work will be of significant value to public health because we can eventually develop a non- invasive, accurate test tool to be clinically used for the early detection of lung cancer, which can save thousands of lives.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA223490-02
Application #
9772403
Study Section
Cancer Biomarkers Study Section (CBSS)
Program Officer
Sorbara, Lynn R
Project Start
2018-09-01
Project End
2023-08-31
Budget Start
2019-09-01
Budget End
2020-08-31
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of Hawaii
Department
Type
Schools of Medicine
DUNS #
965088057
City
Honolulu
State
HI
Country
United States
Zip Code
96822
Fang, Rui; Zhu, Yong; Khadka, Vedbar S et al. (2018) The Evaluation of Serum Biomarkers for Non-small Cell Lung Cancer (NSCLC) Diagnosis. Front Physiol 9:1710