Tanuma Mistry, Sanghamitra Sengupta, R Suresh Kumar, Nisha Thakur, Partha Nath, Neyaz Alam, Vilas D Nasare
{"title":"低BMI和ABCC2基因型对序贯蒽环类-紫杉烷化疗乳腺癌患者临床疗效的影响:一项基于医院的研究","authors":"Tanuma Mistry, Sanghamitra Sengupta, R Suresh Kumar, Nisha Thakur, Partha Nath, Neyaz Alam, Vilas D Nasare","doi":"10.1038/s41397-025-00380-3","DOIUrl":null,"url":null,"abstract":"<p><p>This study investigates combine effect of low BMI and possible pharmacogenetic influence of ABC gene polymorphisms in treatment responses of BC patients. BMI was analysed prior to commencement of chemotherapy. Clinical response was evaluated by radiological imaging and categorised as per RECISTv.1 criteria. SNPs (C1236T, C3435T, C58626A) in ABCB1 and ABCC2 gene were selected. 148 patients were analysed using PCR-RFLP. ABCC2 (58626AA) was significantly associated with treatment non-responsiveness in all genetic models namely dominant (OR 2.954; [1.442-6.051]; p = 0.003), recessive (OR 5.723; [2.48-13.20]; p < 0.0001), codominant (χ<sup>2</sup> 21.219; p < 0.0001). The proportion of ORR and NRs were significantly different between low (<18.5) and high (≥18.5) BMI classes (OR 16.097; [7.12-36.35]; p < 0.0001). Furthermore, when treatment response was combined with BMI groups, significant associations were observed for C58626A SNP across all genetic models among low BMI group: dominant (OR 3.324; [1.012-10.406]; p = 0.041), recessive (OR 7.250; [1.533-34.278]; p = 0.012) and codominant (χ<sup>2</sup> 8.657; p = 0.013). Both PFS (35.31 months; p = 0.005) and OS (39.75 months; p = 0.032) were lowered among AA genotype (ABCC2) while the hazard risk of this genotype was further increased in low BMI patients (HR 1.963). 3435CT genotypes in ABCB1 gene showed 87% reduction in risk of death (HR 0.13; p = 0.025). Low BMI independently and jointly with 58626AA genotype of ABCC2 gene was responsible for poor chemotherapy response and survival outcome among AC-T regimen receiving BC patients. Together, this study underscores the importance of genetic counselling and nutritional assessment for favourable treatment outcomes.</p>","PeriodicalId":54624,"journal":{"name":"Pharmacogenomics Journal","volume":"25 4","pages":"22"},"PeriodicalIF":2.9000,"publicationDate":"2025-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Impact of low BMI and ABCC2 genotype on the clinical response of sequential anthracycline-taxane chemotherapy receiving breast cancer patients: a hospital-based study.\",\"authors\":\"Tanuma Mistry, Sanghamitra Sengupta, R Suresh Kumar, Nisha Thakur, Partha Nath, Neyaz Alam, Vilas D Nasare\",\"doi\":\"10.1038/s41397-025-00380-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>This study investigates combine effect of low BMI and possible pharmacogenetic influence of ABC gene polymorphisms in treatment responses of BC patients. BMI was analysed prior to commencement of chemotherapy. Clinical response was evaluated by radiological imaging and categorised as per RECISTv.1 criteria. SNPs (C1236T, C3435T, C58626A) in ABCB1 and ABCC2 gene were selected. 148 patients were analysed using PCR-RFLP. ABCC2 (58626AA) was significantly associated with treatment non-responsiveness in all genetic models namely dominant (OR 2.954; [1.442-6.051]; p = 0.003), recessive (OR 5.723; [2.48-13.20]; p < 0.0001), codominant (χ<sup>2</sup> 21.219; p < 0.0001). The proportion of ORR and NRs were significantly different between low (<18.5) and high (≥18.5) BMI classes (OR 16.097; [7.12-36.35]; p < 0.0001). Furthermore, when treatment response was combined with BMI groups, significant associations were observed for C58626A SNP across all genetic models among low BMI group: dominant (OR 3.324; [1.012-10.406]; p = 0.041), recessive (OR 7.250; [1.533-34.278]; p = 0.012) and codominant (χ<sup>2</sup> 8.657; p = 0.013). Both PFS (35.31 months; p = 0.005) and OS (39.75 months; p = 0.032) were lowered among AA genotype (ABCC2) while the hazard risk of this genotype was further increased in low BMI patients (HR 1.963). 3435CT genotypes in ABCB1 gene showed 87% reduction in risk of death (HR 0.13; p = 0.025). Low BMI independently and jointly with 58626AA genotype of ABCC2 gene was responsible for poor chemotherapy response and survival outcome among AC-T regimen receiving BC patients. 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Impact of low BMI and ABCC2 genotype on the clinical response of sequential anthracycline-taxane chemotherapy receiving breast cancer patients: a hospital-based study.
This study investigates combine effect of low BMI and possible pharmacogenetic influence of ABC gene polymorphisms in treatment responses of BC patients. BMI was analysed prior to commencement of chemotherapy. Clinical response was evaluated by radiological imaging and categorised as per RECISTv.1 criteria. SNPs (C1236T, C3435T, C58626A) in ABCB1 and ABCC2 gene were selected. 148 patients were analysed using PCR-RFLP. ABCC2 (58626AA) was significantly associated with treatment non-responsiveness in all genetic models namely dominant (OR 2.954; [1.442-6.051]; p = 0.003), recessive (OR 5.723; [2.48-13.20]; p < 0.0001), codominant (χ2 21.219; p < 0.0001). The proportion of ORR and NRs were significantly different between low (<18.5) and high (≥18.5) BMI classes (OR 16.097; [7.12-36.35]; p < 0.0001). Furthermore, when treatment response was combined with BMI groups, significant associations were observed for C58626A SNP across all genetic models among low BMI group: dominant (OR 3.324; [1.012-10.406]; p = 0.041), recessive (OR 7.250; [1.533-34.278]; p = 0.012) and codominant (χ2 8.657; p = 0.013). Both PFS (35.31 months; p = 0.005) and OS (39.75 months; p = 0.032) were lowered among AA genotype (ABCC2) while the hazard risk of this genotype was further increased in low BMI patients (HR 1.963). 3435CT genotypes in ABCB1 gene showed 87% reduction in risk of death (HR 0.13; p = 0.025). Low BMI independently and jointly with 58626AA genotype of ABCC2 gene was responsible for poor chemotherapy response and survival outcome among AC-T regimen receiving BC patients. Together, this study underscores the importance of genetic counselling and nutritional assessment for favourable treatment outcomes.
期刊介绍:
The Pharmacogenomics Journal is a print and electronic journal, which is dedicated to the rapid publication of original research on pharmacogenomics and its clinical applications.
Key areas of coverage include:
Personalized medicine
Effects of genetic variability on drug toxicity and efficacy
Identification and functional characterization of polymorphisms relevant to drug action
Pharmacodynamic and pharmacokinetic variations and drug efficacy
Integration of new developments in the genome project and proteomics into clinical medicine, pharmacology, and therapeutics
Clinical applications of genomic science
Identification of novel genomic targets for drug development
Potential benefits of pharmacogenomics.