Unveiling causal immune cell–gene associations in multiple myeloma: insights from systematic reviews and Mendelian randomization analyses
BackgroundThe efficacy of novel chimeric antigen receptor T-cell (CAR-T) therapy is inconsistent, likely due to an incomplete understanding of the tumor microenvironment (TME). This study utilized meta-analysis to evaluate CAR-T-cell therapy efficacy and safety and employed two-sample Mendelian rand...
Saved in:
Main Authors: | , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Medicine |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1456732/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832591676143566848 |
---|---|
author | Hui Zhang Hui Zhang Ling Zhang Jing-Xuan Lian Zhi-Fu Kou Yu Zhu Yu Zhu Li-Tian Ma Li-Tian Ma Jin Zheng Jin Zheng Can-Jun Zhao Can-Jun Zhao |
author_facet | Hui Zhang Hui Zhang Ling Zhang Jing-Xuan Lian Zhi-Fu Kou Yu Zhu Yu Zhu Li-Tian Ma Li-Tian Ma Jin Zheng Jin Zheng Can-Jun Zhao Can-Jun Zhao |
author_sort | Hui Zhang |
collection | DOAJ |
description | BackgroundThe efficacy of novel chimeric antigen receptor T-cell (CAR-T) therapy is inconsistent, likely due to an incomplete understanding of the tumor microenvironment (TME). This study utilized meta-analysis to evaluate CAR-T-cell therapy efficacy and safety and employed two-sample Mendelian randomization (MR) analysis to investigate the causal links between immune cells and Multiple Myeloma (MM).MethodOur literature review, conducted from January 1, 2019, to August 30, 2024, across Medline/PubMed, Scopus, and Web of Science, identified 2,709 articles, 34 of which met our inclusion criteria. We utilized MR analysis of GWAS data to identify immune cells causally related to multiple myeloma, followed by SMR analysis to highlight associated pathogenic genes and colocalisation analysis for validation.ResultsThe meta-analysis revealed an 82.2% overall response rate to CAR-T-cell therapy, characterized by a safe profile with a grade 3 or higher CRS of 6.3% and neurotoxicity of 0.9%. BCMA, CD38, and GPRC5D CAR-T-cell therapies had superior response rates, whereas BCMA and CD3 CAR-T-cell therapy rates lagged at 61.8%. Post-adjustment for multiple testing, the levels of seven types of immune cells (two types of Treg, two types of TNBK, two types of B cells, and one type of Myeloid cell) were found to be elevated in association with an increased risk of multiple myeloma (MM), while the levels of another eight types of immune cells (one types of Treg, three types of TNBK, one type of MT cells, and two types of Myeloid cell and one type of cDC cells) were demonstrated to be associated with a decreased risk of MM. As supported by sensitivity analysis. SMR analysis pinpointed the risk genes VDR, VHL, POMC, and FANCD2, with VHL and POMC correlating at the methylation level. VDR was not significantly correlated with MM after correction for multiple tests. NCAM1 also exhibited a significant methylation-level association with disease.ConclusionOur study supports the efficacy and safety of CAR-T-cell therapy in rrMM patients, with an 82.2% ORR and low rates of severe CRS (6.3%) and neurotoxicity (0.9%). This finding also suggests that BCMA/CD19 bispecific CAR-T cells have a superior ORR, pending clinical confirmation. MR analysis reveals links between immune cells, genes such as VDR and VHL, and MM, enhancing our understanding of its pathophysiology. |
format | Article |
id | doaj-art-0f8e183f47604ade9f4267177458e745 |
institution | Kabale University |
issn | 2296-858X |
language | English |
publishDate | 2025-01-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Medicine |
spelling | doaj-art-0f8e183f47604ade9f4267177458e7452025-01-22T07:11:52ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2025-01-011210.3389/fmed.2025.14567321456732Unveiling causal immune cell–gene associations in multiple myeloma: insights from systematic reviews and Mendelian randomization analysesHui Zhang0Hui Zhang1Ling Zhang2Jing-Xuan Lian3Zhi-Fu Kou4Yu Zhu5Yu Zhu6Li-Tian Ma7Li-Tian Ma8Jin Zheng9Jin Zheng10Can-Jun Zhao11Can-Jun Zhao12Department of Traditional Chinese Medicine, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, ChinaKey Laboratory of Integrated Traditional Chinese and Western Medicine Tumor Diagnosis and Treatment in Shaanxi Province, Xi’an, ChinaDepartment of Otorhinolaryngology Head and Neck Surgery, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, ChinaDepartment of Hematology, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, ChinaDepartment of Gastroenterology, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, ChinaCollege of Health, Dongguan Polytechnic, Dongguan, ChinaThe Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, ChinaKey Laboratory of Integrated Traditional Chinese and Western Medicine Tumor Diagnosis and Treatment in Shaanxi Province, Xi’an, ChinaDepartment of Thoracic Surgery, Tangdu Hospital Air Force Medical University (Fourth Military Medical University), Xi’an, ChinaDepartment of Traditional Chinese Medicine, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, ChinaKey Laboratory of Integrated Traditional Chinese and Western Medicine Tumor Diagnosis and Treatment in Shaanxi Province, Xi’an, ChinaDepartment of Traditional Chinese Medicine, Tangdu Hospital, Air Force Medical University (Fourth Military Medical University), Xi’an, ChinaKey Laboratory of Integrated Traditional Chinese and Western Medicine Tumor Diagnosis and Treatment in Shaanxi Province, Xi’an, ChinaBackgroundThe efficacy of novel chimeric antigen receptor T-cell (CAR-T) therapy is inconsistent, likely due to an incomplete understanding of the tumor microenvironment (TME). This study utilized meta-analysis to evaluate CAR-T-cell therapy efficacy and safety and employed two-sample Mendelian randomization (MR) analysis to investigate the causal links between immune cells and Multiple Myeloma (MM).MethodOur literature review, conducted from January 1, 2019, to August 30, 2024, across Medline/PubMed, Scopus, and Web of Science, identified 2,709 articles, 34 of which met our inclusion criteria. We utilized MR analysis of GWAS data to identify immune cells causally related to multiple myeloma, followed by SMR analysis to highlight associated pathogenic genes and colocalisation analysis for validation.ResultsThe meta-analysis revealed an 82.2% overall response rate to CAR-T-cell therapy, characterized by a safe profile with a grade 3 or higher CRS of 6.3% and neurotoxicity of 0.9%. BCMA, CD38, and GPRC5D CAR-T-cell therapies had superior response rates, whereas BCMA and CD3 CAR-T-cell therapy rates lagged at 61.8%. Post-adjustment for multiple testing, the levels of seven types of immune cells (two types of Treg, two types of TNBK, two types of B cells, and one type of Myeloid cell) were found to be elevated in association with an increased risk of multiple myeloma (MM), while the levels of another eight types of immune cells (one types of Treg, three types of TNBK, one type of MT cells, and two types of Myeloid cell and one type of cDC cells) were demonstrated to be associated with a decreased risk of MM. As supported by sensitivity analysis. SMR analysis pinpointed the risk genes VDR, VHL, POMC, and FANCD2, with VHL and POMC correlating at the methylation level. VDR was not significantly correlated with MM after correction for multiple tests. NCAM1 also exhibited a significant methylation-level association with disease.ConclusionOur study supports the efficacy and safety of CAR-T-cell therapy in rrMM patients, with an 82.2% ORR and low rates of severe CRS (6.3%) and neurotoxicity (0.9%). This finding also suggests that BCMA/CD19 bispecific CAR-T cells have a superior ORR, pending clinical confirmation. MR analysis reveals links between immune cells, genes such as VDR and VHL, and MM, enhancing our understanding of its pathophysiology.https://www.frontiersin.org/articles/10.3389/fmed.2025.1456732/fullimmune cellsMendelian randomizationmultiple myelomasummary data-based Mendelian randomizationmeta-analysis |
spellingShingle | Hui Zhang Hui Zhang Ling Zhang Jing-Xuan Lian Zhi-Fu Kou Yu Zhu Yu Zhu Li-Tian Ma Li-Tian Ma Jin Zheng Jin Zheng Can-Jun Zhao Can-Jun Zhao Unveiling causal immune cell–gene associations in multiple myeloma: insights from systematic reviews and Mendelian randomization analyses Frontiers in Medicine immune cells Mendelian randomization multiple myeloma summary data-based Mendelian randomization meta-analysis |
title | Unveiling causal immune cell–gene associations in multiple myeloma: insights from systematic reviews and Mendelian randomization analyses |
title_full | Unveiling causal immune cell–gene associations in multiple myeloma: insights from systematic reviews and Mendelian randomization analyses |
title_fullStr | Unveiling causal immune cell–gene associations in multiple myeloma: insights from systematic reviews and Mendelian randomization analyses |
title_full_unstemmed | Unveiling causal immune cell–gene associations in multiple myeloma: insights from systematic reviews and Mendelian randomization analyses |
title_short | Unveiling causal immune cell–gene associations in multiple myeloma: insights from systematic reviews and Mendelian randomization analyses |
title_sort | unveiling causal immune cell gene associations in multiple myeloma insights from systematic reviews and mendelian randomization analyses |
topic | immune cells Mendelian randomization multiple myeloma summary data-based Mendelian randomization meta-analysis |
url | https://www.frontiersin.org/articles/10.3389/fmed.2025.1456732/full |
work_keys_str_mv | AT huizhang unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT huizhang unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT lingzhang unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT jingxuanlian unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT zhifukou unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT yuzhu unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT yuzhu unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT litianma unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT litianma unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT jinzheng unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT jinzheng unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT canjunzhao unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses AT canjunzhao unveilingcausalimmunecellgeneassociationsinmultiplemyelomainsightsfromsystematicreviewsandmendelianrandomizationanalyses |