Causal relationships between immune cell subtypes and risk of Pneumocystis pneumonia and lung cancer: a Mendelian randomization study
Abstract Background Our investigation seeks to elucidate the underlying biological mechanisms by which HIV infection might contribute to lung cancer development, thereby providing valuable insights for developing targeted prevention and treatment strategies for HIV-positive populations. Methods We i...
Saved in:
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
|
| Series: | Discover Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s12672-025-02875-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849725158228492288 |
|---|---|
| author | Zhongqiu Tian Wenfang Tang Long Wen Zhixiong He Yanyan Fang Yubin Fan Yan Peng Linyan Xu Bin Li Xuelian Chen |
| author_facet | Zhongqiu Tian Wenfang Tang Long Wen Zhixiong He Yanyan Fang Yubin Fan Yan Peng Linyan Xu Bin Li Xuelian Chen |
| author_sort | Zhongqiu Tian |
| collection | DOAJ |
| description | Abstract Background Our investigation seeks to elucidate the underlying biological mechanisms by which HIV infection might contribute to lung cancer development, thereby providing valuable insights for developing targeted prevention and treatment strategies for HIV-positive populations. Methods We integrated genetic datasets, identified causal SNPs through SMR/HEIDI analysis, and developed predictive models using multiple machine learning approaches with TCGA and GEO cohorts. Survival differences between risk groups were assessed with Kaplan-Meier analysis. We characterized gene functions using GO analysis, evaluated immune cell infiltration with CIBERSORT/ESTIMATE, and performed weighted gene co-expression network analysis to identify functional gene modules associated with phenotypic traits. Results The study analyzed the association between HIV infection and lung cancer using bioinformatics. Methods Manhattan plot analysis identified 53 significantly associated SNPs shared between the two diseases, suggesting a possible common genetic basis. GOKEGG enrichment analysis revealed that related genes primarily participate in various metabolic pathways, signal transduction, and cell cycle regulation. TCGA data analysis uncovered hundreds of differentially expressed genes between tumor and control groups, including 20 downregulated and 20 upregulated genes. WGCNA network analysis identified key gene modules and confirmed significant correlations between module membership and gene significance (correlation coefficients of 0.79 and 0.58). These findings provide new insights into the molecular mechanisms linking HIV infection and lung cancer development. Conclusion This comprehensive investigation provides compelling evidence supporting early intervention strategies for lung cancer prevention in HIV-positive individuals. |
| format | Article |
| id | doaj-art-e2ca4f0f947b459993a439ab41004940 |
| institution | DOAJ |
| issn | 2730-6011 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Oncology |
| spelling | doaj-art-e2ca4f0f947b459993a439ab410049402025-08-20T03:10:32ZengSpringerDiscover Oncology2730-60112025-06-0116111510.1007/s12672-025-02875-8Causal relationships between immune cell subtypes and risk of Pneumocystis pneumonia and lung cancer: a Mendelian randomization studyZhongqiu Tian0Wenfang Tang1Long Wen2Zhixiong He3Yanyan Fang4Yubin Fan5Yan Peng6Linyan Xu7Bin Li8Xuelian Chen9Department of Tuberculosis, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South UniversityDepartment of Respiratory and Critical Care Medicine, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South University)Department of Respiratory and Critical Care Medicine, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South University)Department of Respiratory and Critical Care Medicine, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South University)Department of Respiratory and Critical Care Medicine, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South University)Department of Respiratory and Critical Care Medicine, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South University)Department of Respiratory and Critical Care Medicine, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South University)Department of Respiratory and Critical Care Medicine, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South University)Department of Respiratory and Critical Care Medicine, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South University)Department of Respiratory and Critical Care Medicine, The First Hospital of Changsha (The Affiliated Changsha Hospital of XiangyaSchool of Medicine, Central South University)Abstract Background Our investigation seeks to elucidate the underlying biological mechanisms by which HIV infection might contribute to lung cancer development, thereby providing valuable insights for developing targeted prevention and treatment strategies for HIV-positive populations. Methods We integrated genetic datasets, identified causal SNPs through SMR/HEIDI analysis, and developed predictive models using multiple machine learning approaches with TCGA and GEO cohorts. Survival differences between risk groups were assessed with Kaplan-Meier analysis. We characterized gene functions using GO analysis, evaluated immune cell infiltration with CIBERSORT/ESTIMATE, and performed weighted gene co-expression network analysis to identify functional gene modules associated with phenotypic traits. Results The study analyzed the association between HIV infection and lung cancer using bioinformatics. Methods Manhattan plot analysis identified 53 significantly associated SNPs shared between the two diseases, suggesting a possible common genetic basis. GOKEGG enrichment analysis revealed that related genes primarily participate in various metabolic pathways, signal transduction, and cell cycle regulation. TCGA data analysis uncovered hundreds of differentially expressed genes between tumor and control groups, including 20 downregulated and 20 upregulated genes. WGCNA network analysis identified key gene modules and confirmed significant correlations between module membership and gene significance (correlation coefficients of 0.79 and 0.58). These findings provide new insights into the molecular mechanisms linking HIV infection and lung cancer development. Conclusion This comprehensive investigation provides compelling evidence supporting early intervention strategies for lung cancer prevention in HIV-positive individuals.https://doi.org/10.1007/s12672-025-02875-8AIDS-associated opportunistic infectionsImmune system reconstitutionMendelian randomization |
| spellingShingle | Zhongqiu Tian Wenfang Tang Long Wen Zhixiong He Yanyan Fang Yubin Fan Yan Peng Linyan Xu Bin Li Xuelian Chen Causal relationships between immune cell subtypes and risk of Pneumocystis pneumonia and lung cancer: a Mendelian randomization study Discover Oncology AIDS-associated opportunistic infections Immune system reconstitution Mendelian randomization |
| title | Causal relationships between immune cell subtypes and risk of Pneumocystis pneumonia and lung cancer: a Mendelian randomization study |
| title_full | Causal relationships between immune cell subtypes and risk of Pneumocystis pneumonia and lung cancer: a Mendelian randomization study |
| title_fullStr | Causal relationships between immune cell subtypes and risk of Pneumocystis pneumonia and lung cancer: a Mendelian randomization study |
| title_full_unstemmed | Causal relationships between immune cell subtypes and risk of Pneumocystis pneumonia and lung cancer: a Mendelian randomization study |
| title_short | Causal relationships between immune cell subtypes and risk of Pneumocystis pneumonia and lung cancer: a Mendelian randomization study |
| title_sort | causal relationships between immune cell subtypes and risk of pneumocystis pneumonia and lung cancer a mendelian randomization study |
| topic | AIDS-associated opportunistic infections Immune system reconstitution Mendelian randomization |
| url | https://doi.org/10.1007/s12672-025-02875-8 |
| work_keys_str_mv | AT zhongqiutian causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy AT wenfangtang causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy AT longwen causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy AT zhixionghe causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy AT yanyanfang causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy AT yubinfan causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy AT yanpeng causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy AT linyanxu causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy AT binli causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy AT xuelianchen causalrelationshipsbetweenimmunecellsubtypesandriskofpneumocystispneumoniaandlungcanceramendelianrandomizationstudy |