Rahman S M Jamshedur, Chen Sheau-Chiann, Wang Yi-Ting, Gao Yuqian, Schepmoes Athena A, Fillmore Thomas L, Shi Tujin, Chen Heidi, Rodland Karin D, Massion Pierre P, Grogan Eric L, Liu Tao
Division of Allergy, Pulmonary and Critical Care Medicine, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Department of Biostatistics, Vanderbilt University, Nashville, TN 37203, USA.
Cancers (Basel). 2023 Sep 10;15(18):4504. doi: 10.3390/cancers15184504.
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.
肺癌防治的一项重大挑战在于识别最终会患肺癌的高危人群。此前,我们报告了从肺癌高危个体的支气管刷检样本中收集的细胞学正常支气管上皮细胞的蛋白质组学改变。本研究的目的是在一个独立队列中,使用选择反应监测(SRM)的灵敏靶向蛋白质组学方法,验证一份与肺癌风险相关的55种候选蛋白质的清单。从肺癌低风险和高风险个体以及肺癌患者中收集支气管刷检样本,这些样本来自原始队列的一个子集(批次1:每组n = 10)和一个149名个体的独立队列(批次2:低风险(n = 32)、高风险(n = 34)和肺癌(n = 83)),使用多重SRM分析方法进行分析。在批次1和批次2的刷检样本以及批次1的活检样本中,均发现ALDH3A1和AKR1B10在高风险组中持续过表达。通过SRM在更大的独立队列中对高鉴别性蛋白质和代谢酶进行验证,支持了它们用于识别肺癌高危患者的用途。