ISSN: 2476-2253

Journal of Cancer Diagnosis
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
  • Mini Review   
  • J Cancer Diagn,

Progress in Cell Surface Biomarker Detection: Emphasizing Estrogen Receptor Profiling for Cancer Diagnostics

Jinshui Hao*
Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, China
*Corresponding Author : Jinshui Hao, Department of Pancreatic Cancer, Tianjin Medical University Cancer Institute and Hospital, China, Email: jiao@yahoo.com

Received Date: Nov 01, 2023 / Published Date: Nov 30, 2023

Abstract

The detection and analysis of cell surface biomarkers, particularly the estrogen receptor (ER), play a pivotal role in the diagnosis and treatment of various cancers, including breast cancer. This paper reviews recent advancements in methodologies and technologies for the detection of cell surface biomarkers, with a specific emphasis on estrogen receptor profiling. We begin by discussing the significance of ER as a biomarker in oncology, outlining its role in disease progression and therapeutic targeting. Subsequently, we delve into traditional methods of ER detection, such as immunohistochemistry (IHC) and fluorescence in situ hybridization (FISH), and highlight their limitations, including issues with sensitivity and quantification [1].

Citation: Hao J (2023) Progress in Cell Surface Biomarker Detection: Emphasizing Estrogen Receptor Profiling for Cancer Diagnostics. J Cancer Diagn 7: 208.

Copyright: © 2023 Hao J. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Top