Validation of a Proteomic Signature of Lung Cancer Risk from Bronchial Specimens of Risk-Stratified Individuals

Author:

Rahman S.M. Jamshedur1,Chen Sheau-Chiann2ORCID,Wang Yi-Ting3,Gao Yuqian3ORCID,Schepmoes Athena A.3,Fillmore Thomas L.4,Shi Tujin3ORCID,Chen Heidi2,Rodland Karin D.5,Massion Pierre P.16,Grogan Eric L.67,Liu Tao3ORCID

Affiliation:

1. Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA

2. Department of Biostatistics, Vanderbilt University, Nashville, TN 37203, USA

3. Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA

4. Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA

5. Department of Cell, Developmental, and Cancer Biology, Oregon Health and Science University, Portland, OR 97201, USA

6. Veterans Affairs Tennessee Valley Healthcare System, Nashville, TN 37232, USA

7. Department of Thoracic Surgery, Vanderbilt University Medical Center, Nashville, TN 37232, USA

Abstract

A major challenge in lung cancer prevention and cure hinges on identifying the at-risk population that ultimately develops lung cancer. Previously, we reported proteomic alterations in the cytologically normal bronchial epithelial cells collected from the bronchial brushings of individuals at risk for lung cancer. The purpose of this study is to validate, in an independent cohort, a selected list of 55 candidate proteins associated with risk for lung cancer with sensitive targeted proteomics using selected reaction monitoring (SRM). Bronchial brushings collected from individuals at low and high risk for developing lung cancer as well as patients with lung cancer, from both a subset of the original cohort (batch 1: n = 10 per group) and an independent cohort of 149 individuals (batch 2: low risk (n = 32), high risk (n = 34), and lung cancer (n = 83)), were analyzed using multiplexed SRM assays. ALDH3A1 and AKR1B10 were found to be consistently overexpressed in the high-risk group in both batch 1 and batch 2 brushing specimens as well as in the biopsies of batch 1. Validation of highly discriminatory proteins and metabolic enzymes by SRM in a larger independent cohort supported their use to identify patients at high risk for developing lung cancer.

Funder

National Cancer Institute

Publisher

MDPI AG

Subject

Cancer Research,Oncology

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