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BECA

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About

Breast cancer continues being the most commonly diagnosed cancer and the most leading cause of cancer death among females in over 100 countries. The common diagnosis methods of breast cancer include mammography/digital mammography, magnetic resonance imaging (MRI), molecular breast imaging (MBI) and breast biopsy.

 

Our study uses multivariate analysis and AI-based approaches to facilitate early diagnosis of breast cancer and breast implant complication post surgery focusing on the underlying relationship between the metabolite changes and the clinical characteristics of the breast cancer.

The study therefore, is the first stage in the development of a low-cost and high throughput biomarker assay (or panel of biomarker profiles) which may help to detect changes linked to early stage breast cancer. Ultimately, these biomarkers may represent as an adjunct tool to the current mammogram diagnostic test, which give rapid assessment of breast cancer and implant complication and further may facilitate the personalized treatment plan for the patients. 

Haematology

Research Context

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Created using BioRender.com and clipart-library.com

Objectives

  • To identify the biomarkers for early detection of breast cancer (BC) and breast implant complication using minimally invasive samples through OMICs & Artificial intelligence (AI)-based approaches.

  • To investigate the underlying relationships between the biomarkers and inflammatory response that cause the rejection of breast implants following BC surgery.

  • To develop a low-cost and high throughput biomarker assay (or panel of biomarker profiles), detecting disease status, stage and type in the diagnosis and treatment of BC.

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Team engagement meeting for BECA with Prof. Mandana O Pennick (Consultant Oncoplastic Breast Surgeon) cum co-supervisor for the project, radiology consultant, breast implant consultant and research nurses at Betsi Cadwaladr University Health Board (BCUHB), Glan Clwyd Hospital, Rhyl on 14th June 2022.

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Shadowing for breast cancer surgery (mastectomy and lumpectomy) with Prof. Mandana O Pennick at Glan Clwyd Hospital, Rhyl on 10th November 2022.

Meeting with the research nurses at Glan Clwyd Hospital, Rhyl on March 1st, 2023.

Clinical governance meeting at Postgraduate Seminar Room, Glan Clwyd Hospital, Rhyl on June 13th, 2023.

From left: Prof. Luis Mur, Miss Aimi Zainurin, Prof. Mandana Pennick (Consultant Oncoplastic Breast Surgeon), Dr. Mei-Ju Hwang (Consultant Oncoplastic and Reconstructive Breast Surgeon), Mr. Habeeb Yinka, Miss Alekhya Ganti.

Site initiation visit with the clinicians and QA team at new recruiting site, Bronglais General Hospital, Hywel Dda  University Health Board, on August 9th, 2023.

Hosting a bake sale for Wear It Pink fundraiser campaign for the research & care charity Breast Cancer Now on October 21st, 2022 at Aberystwyth University Student Union.

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Miss Aimi Zainurin

Doctoral Student

Aimi graduated with Biochemical-Biotechnology Engineering (Hons) and Masters of Science in Biotechnology Engineering in 2017 and 2019 respectively from International Islamic University Malaysia (IIUM), studied metabolites and the biological activities of natural products. Currently, she is pursuing her PhD at Aberystwyth University, investigating the novel biomarkers for early detection of breast cancer (BC) & breast implant complication post surgery employing OMICs & artificial intelligence (AI)-based approaches. 

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