Protocol for a national cohort study to explore the long-term clinical and patient-reported outcomes and cost-effectiveness of implant-based and autologous breast reconstruction after mastectomy for breast cancer: The Brighter Study

Introduction Breast reconstruction (BR) is offered to improve quality of life for women with breast cancer undergoing mastectomy. As most women will be long-Term breast cancer survivors, high-quality information regarding the long-Term outcomes of different BR procedures is essential to support informed decision-making. As different techniques vary considerably in cost, policymakers also require high-quality cost-effectiveness evidence to inform care. The Brighter study aims to explore the long-Term clinical and patient-reported outcomes (PROs) of implant-based and autologous BR and use health economic modelling to compare the long-Term cost-effectiveness of different reconstructive techniques. Methods and analysis Women undergoing mastectomy and/or BR following a diagnosis of breast cancer between 1 January 2008 and 31 March 2009 will be identified from hospital episode statistics (HES). Surviving women will be contacted and invited to complete validated PRO measures including the BREAST-Q, EQ-5D-5L and ICECAP-A, or opt out of having their data included in the HES analysis. Long-Term clinical outcomes will be explored using HES data. The primary outcome will be rates of revisional surgery between implant-based and autologous procedures. Secondary outcomes will include rates of secondary reconstruction and reconstruction failure. The long-Term PROs of implant-based and autologous reconstruction will be compared using BREAST-Q, EQ-5D-5L and ICECAP-A scores. Multivariable regression will be used to examine the relationship between long-Term outcomes, patient comorbidities, sociodemographic and treatment factors. A Markov model will be developed using HES and PRO data and published literature to compare the relative long-Term cost-effectiveness of implant-based and autologous BR. Ethics and dissemination The Brighter study has been approved by the South-West-Central Bristol Research Ethics Committee (20/SW/0020), and the Confidentiality Advisory Group (20/CAG/0021). Results will be published in peer-reviewed journals and presented at national meetings. We will work with the professional associations, charities and patient groups to disseminate the results

Publisher Correction: Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure in obesity

In the HTML version of this article initially published, the author groups ‘CHD Exome+ Consortium’, ‘EPIC-CVD Consortium’, ‘ExomeBP Consortium’, ‘Global Lipids Genetic Consortium’, ‘GoT2D Genes Consortium’, ‘EPIC InterAct Consortium’, ‘INTERVAL Study’, ‘ReproGen Consortium’, ‘T2D-Genes Consortium’, ‘The MAGIC Investigators’ and ‘Understanding Society Scientific Group’ appeared at the end of the author list but should have appeared earlier in the list, after author Krina T. Zondervan. The errors have been corrected in the HTML version of the article

Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure underpinning obesity

Genome-wide association studies (GWAS) have identified >250 loci for body mass index (BMI), implicating pathways related to neuronal biology. Most GWAS loci represent clusters of common, non-coding variants from which pinpointing causal genes remains challenging. Here, we combined data from 718,734 individuals to discover rare and low-frequency (MAF<5%) coding variants associated with BMI. We identified 14 coding variants in 13 genes, of which eight in genes (ZBTB7B, ACHE, RAPGEF3, RAB21, ZFHX3, ENTPD6, ZFR2, ZNF169) newly implicated in human obesity, two (MC4R, KSR2) previously observed in extreme obesity, and two variants in GIPR. Effect sizes of rare variants are ~10 times larger than of common variants, with the largest effect observed in carriers of an MC4R stop-codon (p.Tyr35Ter, MAF=0.01%), weighing ~7kg more than non-carriers. Pathway analyses confirmed enrichment of neuronal genes and provide new evidence for adipocyte and energy expenditure biology, widening the potential of genetically-supported therapeutic targets to treat obesity