Evidence map›Paper›PMID 40560329›Full record

ArticleBreast cancer (Tokyo, Japan)2025

Validation of the predictive ability for recurrence and the clinical utility of the 95-gene classifier (95GC) through an integrated analysis of five studies.

Aya Imai, Ryo Tsunashima, Yu Hidaka, Sae Kitano, Chikage Kato, Akira Watanabe, Midori Morita, Koichi Sakaguchi, Yoshiaki Sota, Masahiko Suzuki and 14 more

Abstract readValidation Study
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In one paragraph

Article in Breast cancer (Tokyo, Japan), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

24 authors.

Aya ImaiDepartment of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Ryo TsunashimaMedical Empowerment Institute, Osaka, Japan.ORCID http://orcid.org/0000-0003-2663-0142
Yu HidakaDepartment of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0003-3637-4429
Sae KitanoDepartment of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID http://orcid.org/0009-0008-6896-3088
Chikage KatoDepartment of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID http://orcid.org/0009-0002-6605-6907
Akira WatanabeDepartment of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0003-0496-5945
Midori MoritaDepartment of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0003-4083-4432
Koichi SakaguchiDepartment of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0003-1412-0604
Yoshiaki SotaDepartment of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.ORCID http://orcid.org/0000-0001-5963-652X
Masahiko SuzukiBreast Center, Kitamurayama Hospital, Yamagata, Japan.ORCID http://orcid.org/0009-0008-3968-9083
Takayuki KinoshitaDivision of Breast Surgery, National Hospital Organization Tokyo Medical Center, Tokyo, Japan.ORCID http://orcid.org/0000-0002-3567-2187
Seiichi ImanishiOsaka Rosai Hospital: Sakai City, Osaka, Japan.ORCID http://orcid.org/0000-0003-4335-4514
Masahiro OikawaDepartment of Breast Surgery, New-Wa-Kai Oikawa Hospital, Fukuoka, Japan.ORCID http://orcid.org/0000-0001-6511-9414
Yoshihiko KamadaNahanishi Clinic, Okinawa, Japan.ORCID http://orcid.org/0009-0000-7673-0809
Ken-Ichi ItoDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, Nagano, Japan.ORCID http://orcid.org/0000-0002-6430-0307
Takaaki ObaDivision of Breast and Endocrine Surgery, Department of Surgery, Shinshu University School of Medicine, Nagano, Japan.ORCID http://orcid.org/0000-0001-8283-4989
Shin TakayamaDepartment of Breast Surgery, National Cancer Center Hospital, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7210-0922
Fumine TsukamotoDepartment of Breast and Endocrine Surgery, Japan Community Health Care Organization Osaka Hospital, Osaka, Japan.ORCID http://orcid.org/0009-0004-2581-7006
Mina TakahashiDepartment of Breast Oncology, National Hospital Organization Shikoku Cancer Center, Ehime, Japan.ORCID http://orcid.org/0009-0001-6122-9728
Yutaka HatanakaCenter for Development of Advanced Diagnostics, Hokkaido University Hospital, Hokkaido, Japan.ORCID http://orcid.org/0000-0003-3128-1477
Naoto T UenoTranslational Clinical Research Program, University of Hawai'i Cancer Center, Hawai'i, USA.ORCID http://orcid.org/0000-0002-0166-7275
Kenzo ShimazuDepartment of Breast and Endocrine Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.ORCID http://orcid.org/0000-0002-0837-2357
Satoshi MoritaDepartment of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, Kyoto, Japan.ORCID http://orcid.org/0000-0002-4344-3317
Yasuto NaoiDepartment of Endocrine and Breast Surgery, Kyoto Prefectural University of Medicine, Kyoto, Japan. naoi@koto.kpu-m.ac.jp.ORCID http://orcid.org/0000-0002-6090-0137

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn recent years, multigene assays have become indispensable tools for predicting the recurrence risk of estrogen receptor (ER)-positive, human epidermal growth factor receptor 2 (HER2)-negative early-stage breast cancer and guiding adjuvant chemotherapy decisions. Curebest™ 95GC Breast (95GC), developed in 2011 as a domestically produced multigene assay for postoperative recurrence prediction, has been commercially available since 2013. Since 2021, five validation studies evaluating the predictive performance 95GC have been published. This study presents an integrated analysis of these studies to validate the prognostic utility of 95GC further.

methodsThe integrated analysis included 719 real-world cases of luminal-type node-negative breast cancer patients who underwent adjuvant hormone therapy alone without extended endocrine treatment. In addition, an expanded cohort incorporating 294 cases from Western patients within the GEO public database was analyzed, resulting in a total of 1013 cases.

resultsAmong the 719 real-world cases, 550 (76.5%) were classified into the 95GC Low-risk group, demonstrating a significantly superior prognosis compared to the High-risk group (P < 1.00e-12). The 5-year distant recurrence-free survival (DRFS) rate in the Low-risk group was approximately 98%, with consistent findings observed in the expanded cohort. Furthermore, an analysis of 754 CEL files using 21GC (a proxy for Oncotype DX®) identified 318 cases (42.2%) as the 21GC intermediate risk. 95GC successfully stratified these cases into two prognostically distinct subgroups.

conclusionsThese findings underscore the clinical utility of 95GC in safely omitting chemotherapy for Low-risk patients with good prognosis and in further stratifying the 21GC Intermediate-risk cases, thereby contributing to personalized treatment strategies.

Indexed as

Biomarkers, TumorBreast NeoplasmsNeoplasm Recurrence, LocalAdultAgedChemotherapy, AdjuvantErb-b2 Receptor Tyrosine KinasesFemaleGene Expression ProfilingHumansMiddle AgedPredictive Value of TestsPrognosisReceptors, EstrogenBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, Estrogen21GCCurebest™ 95GC BreastLuminal type breast cancerMultigene assayRecurrence risk prediction

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