Enrico Oddone, Luca D'Amato, Roberta Pernetti, Domenico Madeo, Luca Toschi, Sara Farinatti, Giulia Riva, Lucrezia Spina, Luigia Ferrante, Catharina Conde, Laura Deborah Locati, Federico Sottotetti, Franca Barbic
{"title":"Exposure to Occupational Carcinogens and Non-Oncogene Addicted Phenotype in Lung Cancer: Results from a Real-Life Observational Study.","authors":"Enrico Oddone, Luca D'Amato, Roberta Pernetti, Domenico Madeo, Luca Toschi, Sara Farinatti, Giulia Riva, Lucrezia Spina, Luigia Ferrante, Catharina Conde, Laura Deborah Locati, Federico Sottotetti, Franca Barbic","doi":"10.3390/cancers17182997","DOIUrl":null,"url":null,"abstract":"<p><p><b>Background/Objectives</b>: Lung cancer (LC) remains one of the most lethal malignancies worldwide, with both environmental and occupational exposures contributing to its incidence. While oncogene-addicted tumors-defined by single driver mutations-have garnered attention due to their therapeutic implications, less is known about the mutational landscape of tumors potentially arising from occupational exposure to carcinogens. This real-life observational study aimed to assess whether previous occupational exposure to lung carcinogens correlates with distinct LC phenotypes, particularly non-oncogene-addicted (nOA) profiles. <b>Methods</b>: A total of 199 LC patients were enrolled across two specialized oncology centers in Northern Italy between 2021 and 2023. Each participant underwent detailed occupational history taking and molecular characterization using next-generation sequencing. Patients were stratified into nonexposed (NE), low exposed (LE), and high exposed (HE) to carcinogens for lung based on standardized questionnaires and sector-specific assessments. <b>Results</b>: No significant differences were found in histological subtypes across exposure groups. However, people with adenocarcinoma and high occupational exposure to lung carcinogens were more frequently characterized by a nOA phenotype compared to those with low occupational exposure. Logistic regression models-adjusted for age, sex, and smoking habits-confirmed that HE patients had a significantly higher likelihood of developing nOA tumors (OR = 3.07; 95% CI: 1.16-8.11; <i>p</i> = 0.023). This association persisted after adjusting for smoking habits Exposures occurring 5-10 years before diagnosis seemed to be associated with an increased nOA profile. <b>Conclusions</b>: These findings suggest that high levels of exposure to occupational carcinogens impact LC phenotypes. Indeed, these phenotypes are more complex to treat and show the worst prognosis. Assessing the occupational exposure to lung carcinogens during work may offer prognostic insights and support the request for more adequate compensation for the patients. Further studies are warranted to validate these results and to explain the mechanisms that produce the differences observed in LC phenotypes in people with high exposure to occupational carcinogens.</p>","PeriodicalId":9681,"journal":{"name":"Cancers","volume":"17 18","pages":""},"PeriodicalIF":4.4000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12468263/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cancers","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3390/cancers17182997","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background/Objectives: Lung cancer (LC) remains one of the most lethal malignancies worldwide, with both environmental and occupational exposures contributing to its incidence. While oncogene-addicted tumors-defined by single driver mutations-have garnered attention due to their therapeutic implications, less is known about the mutational landscape of tumors potentially arising from occupational exposure to carcinogens. This real-life observational study aimed to assess whether previous occupational exposure to lung carcinogens correlates with distinct LC phenotypes, particularly non-oncogene-addicted (nOA) profiles. Methods: A total of 199 LC patients were enrolled across two specialized oncology centers in Northern Italy between 2021 and 2023. Each participant underwent detailed occupational history taking and molecular characterization using next-generation sequencing. Patients were stratified into nonexposed (NE), low exposed (LE), and high exposed (HE) to carcinogens for lung based on standardized questionnaires and sector-specific assessments. Results: No significant differences were found in histological subtypes across exposure groups. However, people with adenocarcinoma and high occupational exposure to lung carcinogens were more frequently characterized by a nOA phenotype compared to those with low occupational exposure. Logistic regression models-adjusted for age, sex, and smoking habits-confirmed that HE patients had a significantly higher likelihood of developing nOA tumors (OR = 3.07; 95% CI: 1.16-8.11; p = 0.023). This association persisted after adjusting for smoking habits Exposures occurring 5-10 years before diagnosis seemed to be associated with an increased nOA profile. Conclusions: These findings suggest that high levels of exposure to occupational carcinogens impact LC phenotypes. Indeed, these phenotypes are more complex to treat and show the worst prognosis. Assessing the occupational exposure to lung carcinogens during work may offer prognostic insights and support the request for more adequate compensation for the patients. Further studies are warranted to validate these results and to explain the mechanisms that produce the differences observed in LC phenotypes in people with high exposure to occupational carcinogens.
期刊介绍:
Cancers (ISSN 2072-6694) is an international, peer-reviewed open access journal on oncology. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.