Wendong Sun , Liwei Liao , Ruochen Zhu , Yuexiang Wang , Keren Chen , Gang Hou , Shuo Chen
{"title":"Precise diagnosis of small cell and non-small cell lung cancer based on Raman spectroscopy","authors":"Wendong Sun , Liwei Liao , Ruochen Zhu , Yuexiang Wang , Keren Chen , Gang Hou , Shuo Chen","doi":"10.1016/j.pdpdt.2025.104747","DOIUrl":null,"url":null,"abstract":"<div><div>Lung cancer has been the second most prevalent cancer globally and the leading cause of cancer-related mortality. Due to the similar clinical symptoms but different treatment protocols for different subtypes of lung cancer, precise diagnosis between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) is of paramount importance for guiding treatment and improving outcomes. In this study, we explored an innovative diagnostic approach that combines Raman spectroscopy with partial least squares analysis and linear discriminant analysis (PLS-LDA) to identify the presence of lung cancer and differentiate its specific subtype. Based on biochemical analysis results, statistically significant differences between SCLC and NSCLC groups were observed in levels of amino acids, nucleic acids, and collagen. In addition, high diagnostic accuracy rates of up to 100 % for in vitro cultured cell samples and 93.75 % for ex-vivo tissue samples were achieved to differentiate SCLC and NSCLC. The proposed method offers great potential in the precise diagnosis of lung cancer with different histologic subtypes, benefiting timely and rational treatment for lung cancer patients.</div></div>","PeriodicalId":20141,"journal":{"name":"Photodiagnosis and Photodynamic Therapy","volume":"55 ","pages":"Article 104747"},"PeriodicalIF":2.6000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Photodiagnosis and Photodynamic Therapy","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1572100025002790","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Lung cancer has been the second most prevalent cancer globally and the leading cause of cancer-related mortality. Due to the similar clinical symptoms but different treatment protocols for different subtypes of lung cancer, precise diagnosis between small cell lung cancer (SCLC) and non-small cell lung cancer (NSCLC) is of paramount importance for guiding treatment and improving outcomes. In this study, we explored an innovative diagnostic approach that combines Raman spectroscopy with partial least squares analysis and linear discriminant analysis (PLS-LDA) to identify the presence of lung cancer and differentiate its specific subtype. Based on biochemical analysis results, statistically significant differences between SCLC and NSCLC groups were observed in levels of amino acids, nucleic acids, and collagen. In addition, high diagnostic accuracy rates of up to 100 % for in vitro cultured cell samples and 93.75 % for ex-vivo tissue samples were achieved to differentiate SCLC and NSCLC. The proposed method offers great potential in the precise diagnosis of lung cancer with different histologic subtypes, benefiting timely and rational treatment for lung cancer patients.
期刊介绍:
Photodiagnosis and Photodynamic Therapy is an international journal for the dissemination of scientific knowledge and clinical developments of Photodiagnosis and Photodynamic Therapy in all medical specialties. The journal publishes original articles, review articles, case presentations, "how-to-do-it" articles, Letters to the Editor, short communications and relevant images with short descriptions. All submitted material is subject to a strict peer-review process.