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Long-term prognostic value of ctDNA in early breast cancer: insights from the neoadjuvant ABCSG-34 Trial
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  • Published: 08 April 2026

Long-term prognostic value of ctDNA in early breast cancer: insights from the neoadjuvant ABCSG-34 Trial

  • Daniel Egle1,2,
  • Dominik Hlauschek2,
  • Simon Peter Gampenrieder2,3,
  • Gabriel Rinnerthaler2,4,
  • Christian Singer2,5,
  • Georg Pfeiler2,5,
  • Rupert Bartsch2,6,
  • Gregor Huber7,
  • Angelika Pichler8,
  • Edgar Petru9,
  • Zsuzsanna Bago-Horvath2,10,
  • Anna-Sophia Kermanidis2,
  • Christian Fesl2,
  • Qing Zhou11,12,13,
  • Ricarda Graf12,
  • Sabrina Hammer12,
  • Nadia Dandachi4,
  • Martin Filipits2,14,
  • Michael Gnant2,15,
  • Ellen Heitzer12 na1 &
  • …
  • Marija Balic2,4,16 na1 

npj Breast Cancer (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomarkers
  • Cancer
  • Computational biology and bioinformatics
  • Oncology

Abstract

Circulating tumor DNA (ctDNA) is a promising biomarker in early breast cancer for assessing treatment response, minimal residual disease (MRD), and recurrence risk. In the ABCSG-34 phase II trial, we previously reported that persistent ctDNA during neoadjuvant therapy (NAT) was associated with higher residual cancer burden and lower rates of pathological complete response. Here, we present long-term follow-up data evaluating the prognostic relevance of ctDNA dynamics. ABCSG-34 randomized 400 patients to chemotherapy or endocrine therapy, with or without the MUC1 vaccine tecemotide. Tumor-informed SiMSen-Seq assays were used to assess ctDNA at baseline, mid-therapy, and end-of-therapy. Of 145 patients with ctDNA data, 109 had long-term follow-up (median: 7.1 years). Baseline ctDNA positivity was significantly associated with inferior overall survival (HR 2.12, p = 0.043) and shorter survival durations across all endpoints. Trends toward improved outcomes were observed in patients who cleared ctDNA during NAT, though statistical significance was not reached—likely due to limited sample size. These findings support baseline ctDNA as a prognostic marker in early breast cancer. While ctDNA clearance may reflect treatment efficacy, further validation in larger trials is needed. Ongoing studies will determine the role of ctDNA in guiding therapy and monitoring MRD.

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Data availability

Sequencing data generated for the original publication are publicly available at the European Genome-phenome Archive (EGA; http://www.ebi.ac.uk/ega/), which is hosted by the EBI, under the accession number EGAS00001005798.

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Acknowledgements

We thank all the patients and their families who participated in the study. The clinical trial was supported by Merck. ctDNA projects were supported by the Austrian National Bank (## 16971) and by the Austrian Federal Ministry for Digital and Economic Affairs (Christian Doppler Research Fund for Liquid Biopsies for Early Detection of Cancer.

Author information

Author notes
  1. These authors contributed equally: Ellen Heitzer, Marija Balic.

Authors and Affiliations

  1. Department of Gynecology, Breast Cancer Center Tirol, Medical University of Innsbruck, Innsbruck, Austria

    Daniel Egle

  2. Austrian Breast and Colorectal Cancer Study Group (ABCSG), Vienna, Austria

    Daniel Egle, Dominik Hlauschek, Simon Peter Gampenrieder, Gabriel Rinnerthaler, Christian Singer, Georg Pfeiler, Rupert Bartsch, Zsuzsanna Bago-Horvath, Anna-Sophia Kermanidis, Christian Fesl, Martin Filipits, Michael Gnant & Marija Balic

  3. Department of Internal Medicine III with Haematology, Medical Oncology, Haemostaseology, Infectiology and Rheumatology, Oncologic Center, Paracelsus Medical University Salzburg, Salzburg, Austria

    Simon Peter Gampenrieder

  4. Division of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria

    Gabriel Rinnerthaler, Nadia Dandachi & Marija Balic

  5. Department of Gynecology and Obstetrics, Medical University of Vienna, Vienna, Austria

    Christian Singer & Georg Pfeiler

  6. Division of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria

    Rupert Bartsch

  7. Breast Center Carinthia, St. Veit, Austria

    Gregor Huber

  8. Department of Internal Medicine, Hematology and Oncology, LKH Hochsteiermark-Leoben, Leoben, Austria

    Angelika Pichler

  9. Department of Gynecology and Obstetrics, Division of Gynecology, Medical University of Graz, Graz, Austria

    Edgar Petru

  10. Department of Pathology, Breast Health Center, Vienna, Austria

    Zsuzsanna Bago-Horvath

  11. Centre for Novostics, Hong Kong Science Park, Pak Shek Kok, New Territories, Hong Kong SAR, China

    Qing Zhou

  12. Institute of Human Genetics, Diagnostic, and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria

    Qing Zhou, Ricarda Graf, Sabrina Hammer & Ellen Heitzer

  13. Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China

    Qing Zhou

  14. Center for Cancer Research, Medical University of Vienna, Vienna, Austria

    Martin Filipits

  15. Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria

    Michael Gnant

  16. Division of Oncology, Hillmans Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA

    Marija Balic

Authors
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Contributions

D.E., D.H., S.H., G.R., R.B., H.D., M.G., E.Z and M.B. contributed to conceptualization. D.E., E.H., M.B. contributed to data analyses. D.E., D.H., C.S., R.B. contributed to writing and editing. S.G., G.R., C.S., G.P., Z.B.H., A.S.K., C.F., N.D., M.F., M.G., E.H., M.B. contributed to review and editing. D.H.,C.S., Z.B.H. contributed to data curation. D.H., C.S., A.S.K., contributed to formal analysis. D.H., A.S.K. contributed to software. C.S., A.P., Q.Z., R.G., S.H. contributed to investigation. C.S., G.P., R.B., G.H., E.P., M.G., E.H., M.B. contributed to resources. C.F., M.G. contributed to supervision. Q.Z. contributed to methodology. M.G. contributed to funding acquisition.

Corresponding authors

Correspondence to Ellen Heitzer or Marija Balic.

Ethics declarations

Competing interests

DE reports disclosures caused by honoraria (Angelini, AstraZeneca, Daiichi-Sankyo, Gilead, Lilly, Menarini, MSD, Novartis, Pfizer, Roche, Sirius Medical), consulting or advisory role (AstraZeneca, Daiichi-Sankyo, Gilead, Lilly, Menarini, MSD, Novartis, Pfizer, Roche, Sirius Medical; Research Funding: Sirius Medical, Dr. Schär). SG reports disclosures caused by honoraria (Novartis, Roche, BMS, AstraZeneca, MSD, Pfizer, Lilly, Seagen, Daiichi Sankyo, Janssen, Gilead), consulting or advisory role (Roche, Novartis, BMS, Pfizer, Lilly, AstraZeneca, Astellas, MSD, Seagen, Daiichi Sankyo, Stemline Therapeutics, Bayer), funding (Roche, Daiichi Sankyo, Novartis, Pfizer, Caris Life Sciences, Lilly, Seagen, Gilead, AstraZeneca, Stemline Therapeutics), travel/accommodations/expenses (Roche, Amgen, Novartis, Pfizer, Bayer, Celgene, Daiichi Sankyo, Janssen, Gilead). GR reports disclosures caused by honoraria (AstraZeneca, BMS, Daiichi Sankyo, Eli Lilly, Gilead, MSD, Novartis, Roche, Seagen, Stemline), consulting or advisory role (AstraZeneca, Daiichi Sankyo, Eli Lilly, Gilead, MSD, Novartis, Pfizer, Roche, Stemline), research funding (AstraZeneca, Daiichi Sankyo, Stemline) travel/accommodations/expenses (Daiichi Sankyo, Gilead, Roche, Servier). CS reports disclosures caused by travel and research grants and unrestricted grants (Amgen, AstraZeneca, Daiichi-Sankyo, Gilead, Novartis, Pfizer, Stemline). GF reports disclosures caused by grant and honoraria (Pfizer, Roche, AstraZeneca, Gilead, Novartis, MenariniStemline, MSD, Daiichi Sankyo, Lilly, Seagen). RB reports disclosures caused by advisory role (AstraZeneca, Daiichi-Sankyo, Eisai, Eli-Lilly, Gilead, Gruenenthal, MSD, Novartis, Pfizer, Pierre-Fabre, Puma, Roche, Seagen, Stemline), lecture honoraria (AstraZeneca, Daiichi-Sankyo, Eisai, Eli-Lilly, Gilead, Gruenenthal, MSD, MedMedia, Novartis, Pfizer, Pierre-Fabre, Roche, Seagen, Stemline), research support (AstraZeneca, Daiichi-Sankyo). EP reports disclosures caused by lecture honoraria and advisory boards (Roche, GSK, MSD, AstraZeneca). ZBH reports disclosures caused by lecture honoraria (MSD, Astra Zeneca, Gilead, Abbvie, Daiichi Sankyo), advisory board (Astra Zeneca, MSD, Stemline, Gilead, Abbvie). MF reports disclosures caused by honoraria (AstraZeneca, Eli Lilly). MG reports disclosures caused by honoraria/travel support (Amgen, AstraZeneca, Bayer, DaiichiSankyo, EliLilly, EPG Health (IQVIA), Menarini-Stemline, MSD, Novartis, PierreFabre, Veracyte). EH reports disclosures caused by unrelated funding (Illumina, Roche, Servier, and PreAnalyti), honoraria: Roche, Astra Zeneca), advisory boards (Incyte). DH, GH, AP, ASK, KF, QZ, RG, SH, ND, MB declare no competing interests.

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Egle, D., Hlauschek, D., Gampenrieder, S.P. et al. Long-term prognostic value of ctDNA in early breast cancer: insights from the neoadjuvant ABCSG-34 Trial. npj Breast Cancer (2026). https://doi.org/10.1038/s41523-026-00934-z

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  • Received: 28 July 2025

  • Accepted: 13 March 2026

  • Published: 08 April 2026

  • DOI: https://doi.org/10.1038/s41523-026-00934-z

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