Peiling Chen, Xin Zheng, Caichen Li, Jianfu Li, Chen Yang, Yi Feng, Bo Cheng, Hengrui Liang, Zhichao Liu, Yi Zhao, Shan Xiong, Feng Li, Ran Zhong, Shuting Zhan, Huiting Wang, Yang Xiang, Wenhai Fu, Wenjun Ye, Bo'ao Jiang, Xianzhe Fan, Jun Liu, Jianxing He, Wenhua Liang
{"title":"非小细胞肺癌中存在的疾病与主要驱动突变和PD-L1表达的关系","authors":"Peiling Chen, Xin Zheng, Caichen Li, Jianfu Li, Chen Yang, Yi Feng, Bo Cheng, Hengrui Liang, Zhichao Liu, Yi Zhao, Shan Xiong, Feng Li, Ran Zhong, Shuting Zhan, Huiting Wang, Yang Xiang, Wenhai Fu, Wenjun Ye, Bo'ao Jiang, Xianzhe Fan, Jun Liu, Jianxing He, Wenhua Liang","doi":"10.1136/bmjresp-2024-002571","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to explore how pre-existing conditions such as blood types, family history of cancer and comorbid diseases correlate with the genetic and programmed death-ligand 1 (PD-L1) expression that contributes to the heterogeneous biological behaviours of non-small cell lung cancer (NSCLC).</p><p><strong>Materials and methods: </strong>A cohort of 5507 NSCLC patients who underwent surgical resection between January 2014 and July 2018 was studied. Targeted next-generation sequencing was used to detect mutations in nine pivotal cancer-related genes, and immunohistochemical staining was applied to assess PD-L1 expression. Logistic regression analysis was employed to identify significant correlations.</p><p><strong>Results: </strong>All patients underwent NGS, with 1839 were also evaluated for PD-L1 expression. Several significant findings were found: ROS1 mutations were closely associated with a family history of lung cancer (OR 7.499, 95% CI 1.094 to 30.940, p=0.013). Epidermal growth factor receptor (EGFR) L858R mutations were common among patients with a family history of non-lung cancers and those with hypertension (OR 2.089, 95% CI 1.029 to 4.135, p=0.037 and OR 1.252, 95% CI 1.001 to 1.562, p=0.048, respectively). Pre-existing conditions such as diabetes and hepatitis B surface antigen positivity (OR 1.468, 95% CI 1.042 to 2.047, p=0.026 and OR 1.373, 95% CI 1.012 to 1.847, p=0.038, respectively) were correlated with EGFR exon 19 deletions. RhD negativity showed potential ties to BRAF mutations (OR 0.010, 95% CI 0.001 to 0.252, p=0.001). A history of tuberculosis linked to increased PD-L1 expression in immune cells (OR 3.597, 95% CI 1.295 to 14.957, p=0.034).</p><p><strong>Conclusion: </strong>This large-scale, cross-sectional study reveals a complex interplay between genetic mutations, immunological features and pre-existing conditions in NSCLC patients, offering insights that could inform personalised treatment strategies.</p>","PeriodicalId":9048,"journal":{"name":"BMJ Open Respiratory Research","volume":"11 1","pages":""},"PeriodicalIF":3.6000,"publicationDate":"2024-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11624786/pdf/","citationCount":"0","resultStr":"{\"title\":\"Association of pre-existing conditions with major driver mutations and PD-L1 expression in NSCLC.\",\"authors\":\"Peiling Chen, Xin Zheng, Caichen Li, Jianfu Li, Chen Yang, Yi Feng, Bo Cheng, Hengrui Liang, Zhichao Liu, Yi Zhao, Shan Xiong, Feng Li, Ran Zhong, Shuting Zhan, Huiting Wang, Yang Xiang, Wenhai Fu, Wenjun Ye, Bo'ao Jiang, Xianzhe Fan, Jun Liu, Jianxing He, Wenhua Liang\",\"doi\":\"10.1136/bmjresp-2024-002571\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>This study aims to explore how pre-existing conditions such as blood types, family history of cancer and comorbid diseases correlate with the genetic and programmed death-ligand 1 (PD-L1) expression that contributes to the heterogeneous biological behaviours of non-small cell lung cancer (NSCLC).</p><p><strong>Materials and methods: </strong>A cohort of 5507 NSCLC patients who underwent surgical resection between January 2014 and July 2018 was studied. Targeted next-generation sequencing was used to detect mutations in nine pivotal cancer-related genes, and immunohistochemical staining was applied to assess PD-L1 expression. Logistic regression analysis was employed to identify significant correlations.</p><p><strong>Results: </strong>All patients underwent NGS, with 1839 were also evaluated for PD-L1 expression. Several significant findings were found: ROS1 mutations were closely associated with a family history of lung cancer (OR 7.499, 95% CI 1.094 to 30.940, p=0.013). Epidermal growth factor receptor (EGFR) L858R mutations were common among patients with a family history of non-lung cancers and those with hypertension (OR 2.089, 95% CI 1.029 to 4.135, p=0.037 and OR 1.252, 95% CI 1.001 to 1.562, p=0.048, respectively). Pre-existing conditions such as diabetes and hepatitis B surface antigen positivity (OR 1.468, 95% CI 1.042 to 2.047, p=0.026 and OR 1.373, 95% CI 1.012 to 1.847, p=0.038, respectively) were correlated with EGFR exon 19 deletions. RhD negativity showed potential ties to BRAF mutations (OR 0.010, 95% CI 0.001 to 0.252, p=0.001). A history of tuberculosis linked to increased PD-L1 expression in immune cells (OR 3.597, 95% CI 1.295 to 14.957, p=0.034).</p><p><strong>Conclusion: </strong>This large-scale, cross-sectional study reveals a complex interplay between genetic mutations, immunological features and pre-existing conditions in NSCLC patients, offering insights that could inform personalised treatment strategies.</p>\",\"PeriodicalId\":9048,\"journal\":{\"name\":\"BMJ Open Respiratory Research\",\"volume\":\"11 1\",\"pages\":\"\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2024-12-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11624786/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMJ Open Respiratory Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1136/bmjresp-2024-002571\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"RESPIRATORY SYSTEM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMJ Open Respiratory Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1136/bmjresp-2024-002571","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RESPIRATORY SYSTEM","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究旨在探讨血型、癌症家族史和共病等既往病史如何与非小细胞肺癌(NSCLC)异质性生物学行为的遗传和程序性死亡配体1 (PD-L1)表达相关。材料和方法:对2014年1月至2018年7月期间接受手术切除的5507例非小细胞肺癌患者进行队列研究。采用靶向新一代测序检测9个关键癌症相关基因的突变,并采用免疫组织化学染色评估PD-L1的表达。采用Logistic回归分析确定显著相关性。结果:所有患者均接受了NGS,其中1839例患者也进行了PD-L1表达评估。有几个显著发现:ROS1突变与肺癌家族史密切相关(OR 7.499, 95% CI 1.094 ~ 30.940, p=0.013)。表皮生长因子受体(EGFR) L858R突变在有非肺癌家族史和高血压患者中较为常见(OR分别为2.089,95% CI 1.029 ~ 4.135, p=0.037; OR为1.252,95% CI 1.001 ~ 1.562, p=0.048)。既往疾病如糖尿病和乙型肝炎表面抗原阳性(OR分别为1.468,95% CI 1.042至2.047,p=0.026和OR分别为1.373,95% CI 1.012至1.847,p=0.038)与EGFR外显子19缺失相关。RhD阴性与BRAF突变有潜在联系(OR 0.010, 95% CI 0.001 ~ 0.252, p=0.001)。结核病史与免疫细胞中PD-L1表达增加有关(OR 3.597, 95% CI 1.295至14.957,p=0.034)。结论:这项大规模的横断面研究揭示了非小细胞肺癌患者基因突变、免疫特征和既往疾病之间复杂的相互作用,为个性化治疗策略提供了见解。
Association of pre-existing conditions with major driver mutations and PD-L1 expression in NSCLC.
Objectives: This study aims to explore how pre-existing conditions such as blood types, family history of cancer and comorbid diseases correlate with the genetic and programmed death-ligand 1 (PD-L1) expression that contributes to the heterogeneous biological behaviours of non-small cell lung cancer (NSCLC).
Materials and methods: A cohort of 5507 NSCLC patients who underwent surgical resection between January 2014 and July 2018 was studied. Targeted next-generation sequencing was used to detect mutations in nine pivotal cancer-related genes, and immunohistochemical staining was applied to assess PD-L1 expression. Logistic regression analysis was employed to identify significant correlations.
Results: All patients underwent NGS, with 1839 were also evaluated for PD-L1 expression. Several significant findings were found: ROS1 mutations were closely associated with a family history of lung cancer (OR 7.499, 95% CI 1.094 to 30.940, p=0.013). Epidermal growth factor receptor (EGFR) L858R mutations were common among patients with a family history of non-lung cancers and those with hypertension (OR 2.089, 95% CI 1.029 to 4.135, p=0.037 and OR 1.252, 95% CI 1.001 to 1.562, p=0.048, respectively). Pre-existing conditions such as diabetes and hepatitis B surface antigen positivity (OR 1.468, 95% CI 1.042 to 2.047, p=0.026 and OR 1.373, 95% CI 1.012 to 1.847, p=0.038, respectively) were correlated with EGFR exon 19 deletions. RhD negativity showed potential ties to BRAF mutations (OR 0.010, 95% CI 0.001 to 0.252, p=0.001). A history of tuberculosis linked to increased PD-L1 expression in immune cells (OR 3.597, 95% CI 1.295 to 14.957, p=0.034).
Conclusion: This large-scale, cross-sectional study reveals a complex interplay between genetic mutations, immunological features and pre-existing conditions in NSCLC patients, offering insights that could inform personalised treatment strategies.
期刊介绍:
BMJ Open Respiratory Research is a peer-reviewed, open access journal publishing respiratory and critical care medicine. It is the sister journal to Thorax and co-owned by the British Thoracic Society and BMJ. The journal focuses on robustness of methodology and scientific rigour with less emphasis on novelty or perceived impact. BMJ Open Respiratory Research operates a rapid review process, with continuous publication online, ensuring timely, up-to-date research is available worldwide. The journal publishes review articles and all research study types: Basic science including laboratory based experiments and animal models, Pilot studies or proof of concept, Observational studies, Study protocols, Registries, Clinical trials from phase I to multicentre randomised clinical trials, Systematic reviews and meta-analyses.