Improving HER2 Diagnostics with Digital Real‐Time PCR for Ultrafast, Precise Prediction of Anti‐HER2 Therapy Response in Patients with Breast Cancer (Small Methods 3/2026)

Small Methods 2026 Open access

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Authors: Hee‐Joo Choi, Soo Young Park, M K Song, Jinhyuk Chang, YoonSik Kim, Hosub Park, Chihwan David Cha, Sohyeon Yang, Nam Hun Heo, Min Ji Song, Da Sol Kim, Hayeon Kim
+18 more Minuk Kim, Jae Eun Park, Yesung Lee, EunChae Ji, Heekyoung Chung, Ilecheon Jeong, Mineui Hong, Jin‐Wu Nam, Mee‐Hye Oh, Jihye Lee, Jinwoo Seol, Hee‐Young Won, Hyun‐Woo Song, Jaewon Eom, Do Young Lee, Han Suk Ryu, Si‐Hyong Jang, Jeong‐Yeon Lee
DOI: 10.1002/smtd.70410
Cited by: 0

Abstract

Back Cover In article number 2500599, D. Y. Lee, Ryu, Jang, J.-Y. Lee, and co-workers present a novel digital real-time PCR-based HER2 diagnostic method for improved clinical decision-making in patients with breast cancer. The fully automated lab-on-an-array digital PCR platform, which enables real-time absolute quantification across 20,000 partitions, allows faster, simpler, and more accurate determination of HER2 status, significantly enhancing prediction of response to anti-HER2 therapy compared with conventional testing methods.

Fields of Study & Subjects

HER2/EGFR in Cancer Research Breast Cancer Treatment Studies Molecular Biology Techniques and Applications

Publication details

Journal / source
Small Methods
Volume
10
Issue
3
Publication date
1 February 2026
Language
EN