Mendelian randomization study reveals causal association between skin microbiome and skin cancers
Increasing evidence indicates a link between the skin microbiome and different types of skin cancer, but it is still uncertain if this connection is causal. This study aimed to investigate the causal relationship between genetically predicted skin microbiome and skin cancer, including basal cell car...
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Published in | Scientific reports Vol. 15; no. 1; pp. 21590 - 9 |
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01.07.2025
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Abstract | Increasing evidence indicates a link between the skin microbiome and different types of skin cancer, but it is still uncertain if this connection is causal. This study aimed to investigate the causal relationship between genetically predicted skin microbiome and skin cancer, including basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (CSCC), cutaneous melanoma (CM), and actinic keratosis (AK). A two-sample Mendelian randomization (MR) analysis was conducted using summary datasets of public genome-wide association study (GWAS) statistics. Multiple methods, including inverse variance weighted (IVW), MR-Egger, weighted median, weighted mode, and robust adjusted profile score (RAPS), were applied. Sensitivity analyses were performed to assess the robustness of the results, and a reverse MR analysis was conducted to evaluate potential reverse causality. A total of 1224 SNPs were selected as instrumental variables (IVs) for 78 genus-level skin microbes. Six genus-level skin microbes exhibited suggestive associations with skin cancer. Sensitivity and horizontal pleiotropy analyses confirmed the robustness of these relationships. Reverse MR analysis showed no evidence of reverse causality between the identified skin microbiota taxa and skin cancers. This study identifies potential causal relationships between skin microbiota and four skin cancers. Additional studies are needed to confirm these results and elucidate the underlying mechanisms. |
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AbstractList | Increasing evidence indicates a link between the skin microbiome and different types of skin cancer, but it is still uncertain if this connection is causal. This study aimed to investigate the causal relationship between genetically predicted skin microbiome and skin cancer, including basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (CSCC), cutaneous melanoma (CM), and actinic keratosis (AK). A two-sample Mendelian randomization (MR) analysis was conducted using summary datasets of public genome-wide association study (GWAS) statistics. Multiple methods, including inverse variance weighted (IVW), MR-Egger, weighted median, weighted mode, and robust adjusted profile score (RAPS), were applied. Sensitivity analyses were performed to assess the robustness of the results, and a reverse MR analysis was conducted to evaluate potential reverse causality. A total of 1224 SNPs were selected as instrumental variables (IVs) for 78 genus-level skin microbes. Six genus-level skin microbes exhibited suggestive associations with skin cancer. Sensitivity and horizontal pleiotropy analyses confirmed the robustness of these relationships. Reverse MR analysis showed no evidence of reverse causality between the identified skin microbiota taxa and skin cancers. This study identifies potential causal relationships between skin microbiota and four skin cancers. Additional studies are needed to confirm these results and elucidate the underlying mechanisms. Abstract Increasing evidence indicates a link between the skin microbiome and different types of skin cancer, but it is still uncertain if this connection is causal. This study aimed to investigate the causal relationship between genetically predicted skin microbiome and skin cancer, including basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (CSCC), cutaneous melanoma (CM), and actinic keratosis (AK). A two-sample Mendelian randomization (MR) analysis was conducted using summary datasets of public genome-wide association study (GWAS) statistics. Multiple methods, including inverse variance weighted (IVW), MR-Egger, weighted median, weighted mode, and robust adjusted profile score (RAPS), were applied. Sensitivity analyses were performed to assess the robustness of the results, and a reverse MR analysis was conducted to evaluate potential reverse causality. A total of 1224 SNPs were selected as instrumental variables (IVs) for 78 genus-level skin microbes. Six genus-level skin microbes exhibited suggestive associations with skin cancer. Sensitivity and horizontal pleiotropy analyses confirmed the robustness of these relationships. Reverse MR analysis showed no evidence of reverse causality between the identified skin microbiota taxa and skin cancers. This study identifies potential causal relationships between skin microbiota and four skin cancers. Additional studies are needed to confirm these results and elucidate the underlying mechanisms. Increasing evidence indicates a link between the skin microbiome and different types of skin cancer, but it is still uncertain if this connection is causal. This study aimed to investigate the causal relationship between genetically predicted skin microbiome and skin cancer, including basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (CSCC), cutaneous melanoma (CM), and actinic keratosis (AK). A two-sample Mendelian randomization (MR) analysis was conducted using summary datasets of public genome-wide association study (GWAS) statistics. Multiple methods, including inverse variance weighted (IVW), MR-Egger, weighted median, weighted mode, and robust adjusted profile score (RAPS), were applied. Sensitivity analyses were performed to assess the robustness of the results, and a reverse MR analysis was conducted to evaluate potential reverse causality. A total of 1224 SNPs were selected as instrumental variables (IVs) for 78 genus-level skin microbes. Six genus-level skin microbes exhibited suggestive associations with skin cancer. Sensitivity and horizontal pleiotropy analyses confirmed the robustness of these relationships. Reverse MR analysis showed no evidence of reverse causality between the identified skin microbiota taxa and skin cancers. This study identifies potential causal relationships between skin microbiota and four skin cancers. Additional studies are needed to confirm these results and elucidate the underlying mechanisms.Increasing evidence indicates a link between the skin microbiome and different types of skin cancer, but it is still uncertain if this connection is causal. This study aimed to investigate the causal relationship between genetically predicted skin microbiome and skin cancer, including basal cell carcinoma (BCC), cutaneous squamous cell carcinoma (CSCC), cutaneous melanoma (CM), and actinic keratosis (AK). A two-sample Mendelian randomization (MR) analysis was conducted using summary datasets of public genome-wide association study (GWAS) statistics. Multiple methods, including inverse variance weighted (IVW), MR-Egger, weighted median, weighted mode, and robust adjusted profile score (RAPS), were applied. Sensitivity analyses were performed to assess the robustness of the results, and a reverse MR analysis was conducted to evaluate potential reverse causality. A total of 1224 SNPs were selected as instrumental variables (IVs) for 78 genus-level skin microbes. Six genus-level skin microbes exhibited suggestive associations with skin cancer. Sensitivity and horizontal pleiotropy analyses confirmed the robustness of these relationships. Reverse MR analysis showed no evidence of reverse causality between the identified skin microbiota taxa and skin cancers. This study identifies potential causal relationships between skin microbiota and four skin cancers. Additional studies are needed to confirm these results and elucidate the underlying mechanisms. |
ArticleNumber | 21590 |
Author | Qian, Leqi Jiang, Mingjun Li, Liming Li, Yuancheng Wang, Xiaoke He, Yong Yang, Jiajia |
Author_xml | – sequence: 1 givenname: Yong surname: He fullname: He, Yong organization: Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College – sequence: 2 givenname: Liming surname: Li fullname: Li, Liming organization: Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Key Laboratory of Basic and Translational Research on Immune-Mediated Skin Diseases, Chinese Academy of Medical Sciences – sequence: 3 givenname: Yuancheng surname: Li fullname: Li, Yuancheng organization: Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College – sequence: 4 givenname: Xiaoke surname: Wang fullname: Wang, Xiaoke organization: Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College – sequence: 5 givenname: Leqi surname: Qian fullname: Qian, Leqi organization: Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College – sequence: 6 givenname: Jiajia surname: Yang fullname: Yang, Jiajia email: yangjiajia_1230@163.com organization: Department of Infection Management, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Gusu School, Nanjing Medical University – sequence: 7 givenname: Mingjun surname: Jiang fullname: Jiang, Mingjun email: drmingjunjiang@163.com organization: Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College |
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Keywords | Genetic correlation Mendelian randomization Skin microbiome Skin cancer |
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Title | Mendelian randomization study reveals causal association between skin microbiome and skin cancers |
URI | https://link.springer.com/article/10.1038/s41598-025-07265-2 https://www.ncbi.nlm.nih.gov/pubmed/40596493 https://www.proquest.com/docview/3226356146 https://pubmed.ncbi.nlm.nih.gov/PMC12219653 https://doaj.org/article/bd0115807059435f948bf45c8ff2c942 |
Volume | 15 |
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