CSIR - Advanced Materials and Processes Research Institute (AMPRI), Hoshangabad Road, Bhopal, 462026, India; Academy of Scientific and Innovative Research (AcSIR), CSIR-AMPRI, Bhopal, 462026, India.
Department of Biochemistry and Genetics, Barkatullah University, Bhopal, Madhya Pradesh, 462026, India.
Anal Biochem. 2020 Dec 1;610:113996. doi: 10.1016/j.ab.2020.113996. Epub 2020 Oct 17.
Breast cancer is the most commonly occurring cancer among women which leads to thousands of deaths worldwide. The chances of survival are more if the breast cancer is diagnosed at early stage. At present, mammography, magnetic resonance imaging, ultrasound and tissue biopsies are the main diagnostic techniques available for the detection of breast cancer. However, despite of offering promising results, requirement of expensive setup, skilled supervision, expert analysis, invasive procedure (biopsy) and low capacity of multiplexing are the main limitations of these diagnostic techniques. Due to high cost, these screening tests are out of reach of people belonging to low socioeconomic groups and this poses serious health burden to the society. Recently, biosensor-based diagnostic technology for early detection of various types of cancers and other non-oncological disorders have gained considerable attention because of their several advantageous features over existing diagnostic technologies such as high throughput, noninvasive nature, cost effectiveness, easy interpretable results and capacity for multiplexing. Further, biosensors can be designed for biomarkers which are confined to particular type of cancer. In this review, we have discussed about various genomic, transcriptomic, proteomic and metabolomic biomarkers associated with breast cancer, various biosensors-based diagnostic approaches designed for detection of specific biomarkers associated with breast cancer are also described. Further, this review throws insight on various biomarkers linked with breast cancer which can be effectively exploited to develop new diagnostic technology. The assessment of these biomarkers associated with BC using biosensors in large population are cost-effective, non-invasive and high throughput. They help in risk assessment of disease at very initial stage even in backward areas and also help to lower the disease burden of society and economic cost of treatment for a common man. This review would provide new avenues for the development of biosensor based diagnostic technology for the detection of biomarkers associated with breast cancer.
乳腺癌是女性中最常见的癌症,导致全球数千人死亡。如果在早期诊断出乳腺癌,存活的机会就更大。目前,乳腺 X 线摄影、磁共振成像、超声和组织活检是用于检测乳腺癌的主要诊断技术。然而,尽管这些诊断技术提供了有希望的结果,但昂贵的设备、熟练的监督、专家分析、有创程序(活检)和低的多重检测能力仍然是这些诊断技术的主要限制。由于成本高,这些筛查测试对于来自低收入社会经济群体的人来说是遥不可及的,这给社会带来了严重的健康负担。最近,基于生物传感器的诊断技术用于早期检测各种类型的癌症和其他非肿瘤性疾病引起了相当大的关注,因为它们具有许多优于现有诊断技术的优势,如高通量、非侵入性、成本效益、易于解释的结果和多重检测能力。此外,生物传感器可以设计用于特定类型癌症特有的生物标志物。在这篇综述中,我们讨论了与乳腺癌相关的各种基因组、转录组、蛋白质组和代谢组生物标志物,以及为检测与乳腺癌相关的特定生物标志物而设计的各种基于生物传感器的诊断方法。此外,这篇综述还深入探讨了与乳腺癌相关的各种生物标志物,这些标志物可以有效地被开发利用来开发新的诊断技术。使用生物传感器在大人群中评估与 BC 相关的这些生物标志物具有成本效益、非侵入性和高通量。它们有助于在疾病的早期阶段进行风险评估,即使在落后地区也是如此,也有助于降低社会的疾病负担和普通人的治疗经济成本。这篇综述为基于生物传感器的诊断技术的发展提供了新的途径,用于检测与乳腺癌相关的生物标志物。