Literature DB >> 29264740

CTLA-4 polymorphisms are associated with treatment outcomes of patients with multiple myeloma receiving bortezomib-based regimens.

Xiao-Ying Qin1,2, Jin Lu1,2, Guo-Xuan Li1,2, Lei Wen1,2, Yang Liu1,2, Lan-Ping Xu1,2, Ying-Jun Chang1,2, Kai-Yan Liu1,2, Zheng-Fan Jiang3,4, Xiao-Jun Huang5,6,7.   

Abstract

Single-nucleotide polymorphisms (SNPs) of cytotoxic T lymphocyte antigen-4 (CTLA-4) are important risk factors associated with autoimmune diseases and malignancies. This study explored the association of CTLA-4SNPs with the development of myeloma and evaluated the outcome of patients receiving bortezomib-based regimens in relation to CTLA-4SNPs. Peripheral blood samples from 86 patients with multiple myeloma (MM) and 154 healthy controls were obtained to investigate CTLA4 polymorphisms. Five SNP genotypes of CTLA-4, namely, -1772 (rs733618), -1661 (rs4553808), -318 (rs5742909), CT60 (rs3087243), and +49 (rs231775), were evaluated through TaqMan SNP genotyping assays (Applied Biosystems). Some of the CTLA-4 polymorphisms displayed frequencies that vary among ethnic groups. Kaplan-Meier analysis revealed that patients with rs733618 GG showed a significantly lower disease-free survival (0 vs. 57.4%, P = 0.020) and overall survival (46.3 vs. 83.3%, P = 0.026) than those with GA+AA following bortezomib-based therapy. Multivariate analyses showed that rs733618 GG was a risk factor for OS (HR = 0.012; 95% CI = 0.001-0.199; P = 0.002). The incidence of nonhematologic grade 3/4 adverse events significantly increased in the rs4553808 GG+GA group compared with that in the AA group (P = 0.036). CTLA-4 rs733618 GG reduced the progression-free survival and the overall survival of patients with MM who received bortezomib-based therapy. Information regarding CTLA-4 polymorphisms and haplotypes may be used to improve MM therapy. Future studies must determine the precise effect of CTLA-4 polymorphisms and haplotypes on MM therapy outcomes by using different cohorts with a large number of subjects.

Entities:  

Keywords:  Bortezomib; CTLA-4 polymorphisms; Multiple myeloma; Nonhematologic adverse events; Survival

Mesh:

Substances:

Year:  2017        PMID: 29264740     DOI: 10.1007/s00277-017-3203-7

Source DB:  PubMed          Journal:  Ann Hematol        ISSN: 0939-5555            Impact factor:   3.673


  5 in total

1.  Single-Nucleotide Polymorphisms Within Non-HLA Regions Are Associated With Engraftment Effectiveness for Patients With Unrelated Cord Blood Transplantation.

Authors:  Ding-Ping Chen; Tang-Her Jaing; Ai-Ling Hour; Wei-Tzu Lin; Fang-Ping Hsu
Journal:  Front Immunol       Date:  2022-06-13       Impact factor: 8.786

2.  Comprehensive Analysis of 29,464 Cancer Cases and 35,858 Controls to Investigate the Effect of the Cytotoxic T-Lymphocyte Antigen 4 Gene rs231775 A/G Polymorphism on Cancer Risk.

Authors:  Hongyuan Wan; Hangsheng Zhou; Yanyan Feng; Yongquan Chen; Lijie Zhu; Yuanyuan Mi
Journal:  Front Oncol       Date:  2022-05-04       Impact factor: 5.738

3.  PDCD1 and PDCD1LG1 polymorphisms affect the susceptibility to multiple myeloma.

Authors:  Tetsuhiro Kasamatsu; Maaya Awata; Rei Ishihara; Yuki Murakami; Nanami Gotoh; Morio Matsumoto; Morio Sawamura; Akihiko Yokohama; Hiroshi Handa; Norifumi Tsukamoto; Takayuki Saitoh; Hirokazu Murakami
Journal:  Clin Exp Med       Date:  2019-10-16       Impact factor: 3.984

4.  Investigation of the Correlation between Graves' Ophthalmopathy and CTLA4 Gene Polymorphism.

Authors:  Ding-Ping Chen; Yen-Chang Chu; Ying-Hao Wen; Wei-Tzu Lin; Ai-Ling Hour; Wei-Ting Wang
Journal:  J Clin Med       Date:  2019-11-02       Impact factor: 4.241

5.  Current perspectives on interethnic variability in multiple myeloma: Single cell technology, population pharmacogenetics and molecular signal transduction.

Authors:  Manav Gandhi; Viral Bakhai; Jash Trivedi; Adarsh Mishra; Fernando De Andrés; Adrián LLerena; Rohit Sharma; Sujit Nair
Journal:  Transl Oncol       Date:  2022-09-11       Impact factor: 4.803

  5 in total

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