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- Choi, Hee-Joo;
- Park, Soo Young;
- Song, Minsik;
- Chang, Jinhyuk;
- Kim, YoonSik;
- ... Hong, Mineui;
- 외 24명
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0초록
While human epidermal growth factor receptor (HER2) has emerged as a tumor-agnostic biomarker, standard HER2 testing for anti-HER2 therapies using immunohistochemistry (IHC) and in situ hybridization (ISH) assays remains subjective, time-consuming, and often inaccurate. To address these limitations, an ultrafast and precise HER2 testing method is developed using Lab-On-An-Array (LOAA) digital real-time PCR (drPCR), a fully automated digital PCR enabling real-time absolute quantification. A multicenter study involving four independent breast cancer cohorts cross-validates the high diagnostic accuracy of drPCR-based HER2 assessment. Comparative analyses with artificial intelligence algorithms, next-generation sequencing, and droplet digital PCR demonstrate that drPCR is faster, simpler, and more accurate than conventional assays for assessing HER2 status, while IHC/ISH frequently yields false positives. Importantly, in patients initially diagnosed as HER2-positive and treated with neoadjuvant anti-HER2 therapy, the HER2 drPCR(+)/IHC-ISH(+) group achieves high pathological complete response rates, while HER2 drPCR(-)/IHC-ISH(+) cases exhibit poor treatment responses, highlighting the superior predictive accuracy of drPCR for anti-HER2 therapy response. Additionally, drPCR identifies patients with chromosome 17 centromere abnormalities, HER2-zero/ERBB2 hemizygous deletion, and ERBB2 hyperamplification who respond favorably to anti-HER2 therapy. Collectively, these findings establish drPCR as a clinically feasible, standardized, and ultrafast HER2 testing method for improved prediction of anti-HER2 therapy response in patients with cancer. © 2025 Wiley‐VCH GmbH.
키워드
- 제목
- Improving HER2 Diagnostics with Digital Real-Time PCR for Ultrafast, Precise Prediction of Anti-HER2 Therapy Response in Patients with Breast Cancer
- 저자
- Choi, Hee-Joo; Park, Soo Young; Song, Minsik; Chang, Jinhyuk; Kim, YoonSik; Park, Hosub; Cha, Chihwan David; Yang, Sohyeon; Heo, Nam Hun; Song, Min Ji; Kim, Da Sol; Kim, Hayeon; Kim, Minuk; Park, Jae Eun; Lee, Yesung; Ji, EunChae; Chung, Heekyoung; Jeong, Ilecheon; Hong, Mineui; Nam, Jin-Wu; Oh, Mee-Hye; Lee, Ji-Hye; Seol, Jinwoo; Won, Hee-Young; Song, Hyun-Woo; Eom, Jaewon; Lee, Do Young; Ryu, Han Suk; Jang, Si-Hyong; Lee, Jeong-Yeon
- 발행일
- 2025-09
- 유형
- Article; Early Access
- 저널명
- Small methods