Addressing the Clinical Feasibility of Adopting Circulating miRNA for Breast Cancer Detection, Monitoring and Management with Artificial Intelligence and Machine Learning Platforms.

Detecting breast cancer (BC) at the initial stages of progression has always been regarded as a lifesaving intervention. With modern technology, extensive studies have unraveled the complexity of BC, but the current standard practice of early breast cancer screening and clinical management of cancer progression is still heavily dependent on tissue biopsies, which are invasive and limited in capturing definitive cancer signatures for more comprehensive applications to improve outcomes in BC care and treatments. In recent years, reviews and studies have shown that liquid biopsies in the form of blood, containing free circulating and exosomal microRNAs (miRNAs), have become increasingly evident as a potential minimally invasive alternative to tissue biopsy or as a complement to biomarkers in assessing and classifying BC.

A pilot study on DNA hypermethylation status in promoter region of P16 gene in patients with sporadic breast cancer.

Background: Epigenetic modification of cancer-related genes plays a role over and above their genetic alterations and contributes to the tumor initiation and progression of breast cancer. Promoter methylation of tumor suppressor genes is one such epigenetic modification, which can be potential biomarker. In this study, promoter methylation status of p16 gene was studied in blood samples of patients with breast carcinoma.