Evidence map›Paper›PMID 41922145›Full record

ArticleESMO open2026

Integrating baseline ctDNA-derived tumor metrics enhances risk stratification in HR-positive/HER2-negative advanced breast cancer: a real-world multicenter cohort study from Austria.

N Dobrić, S O Hasenleithner, C Suppan, E V Klocker, D Hlauschek, R Graf, C Beichler, C Albertini, D Egle, D Liu and 8 more

Abstract readMulticenter Study
In one paragraph

Article in ESMO open, 2026. 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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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

N DobrićDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
S O HasenleithnerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
C SuppanDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
E V KlockerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
D HlauschekDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
R GrafInstitute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria.
C BeichlerInstitute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria.
C AlbertiniDepartment of Gynecology, Breast Cancer Center Tirol, Medical University of Innsbruck, Innsbruck, Austria.
D EgleDepartment of Gynecology, Breast Cancer Center Tirol, Medical University of Innsbruck, Innsbruck, Austria.
D LiuSchool of Medicine, Tsinghua Medicine, Tsinghua University, Beijing, China; Division of Oncology, Hillmans Cancer Center, University of Pittsburgh, Pittsburgh, USA.
A M StarzerDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
R BartschDivision of Oncology, Department of Medicine I, Medical University of Vienna, Vienna, Austria.
T MoserInstitute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria.
G RinnerthalerDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
P J JostDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria.
E HeitzerInstitute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria; Christian Doppler Laboratory for Liquid Biopsies for Early Detection of Cancer, Graz, Austria.
N DandachiDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria; Institute of Human Genetics, Diagnostic and Research Center for Molecular Biomedicine, Medical University of Graz, Graz, Austria; Research Unit Epigenetic and Genetic Cancer Biomarkers, Medical University of Graz, Graz, Austria. Electronic address: nadia.dandachi@medunigraz.at.
M BalicDivision of Oncology, Department of Internal Medicine, Medical University of Graz, Graz, Austria; Division of Oncology, Hillmans Cancer Center, University of Pittsburgh, Pittsburgh, USA. Electronic address: balicm@upmc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAdvances in endocrine therapies for hormone receptor (HR)-positive/HER2-negative advanced breast cancer (ABC) continue to transform care and significantly improve patient outcomes. However, the integration of molecular and clinical risk stratification into guiding individualized treatment selection remains a key challenge. We therefore evaluated whether the integration of baseline circulating tumor DNA (ctDNA)-derived tumor metrics enhances risk stratification among patients receiving early lines of treatment of HR-positive ABC in a real-world multicenter cohort of patients in Austria.

methodsPatients with HR-positive/HER2-negative ABC treated at multiple Austrian centers were included. CtDNA was analyzed using a 77-gene panel (AVENIO ctDNA Expanded Kit). Tumor fraction (TFx) was estimated via two complementary approaches: untargeted aneuploidy assessment using mFAST-SeqS, and the highest variant allele frequency (hVAF) from the AVENIO assay. Somatic variants and single, binary, and three-level composite TFx metrics were assessed for their association with progression-free and overall survival (PFS, OS).

resultsWe analyzed 225 ctDNA samples from 184 patients [128 before first-line (1L) and 76 before second-line (2L) treatment], including 40 paired samples. Overall TFx was low (median z-score 2.49; range -0.5-208.3), with higher levels in 2L, although the difference did not reach statistical significance (P = 0.058). In contrast, the hVAF was significantly higher in the 2L cohort (P = 0.007). Somatic variant burden was significantly increased in 2L (P < 0.001), with notably more frequent ESR1 mutations (26.7% versus 7.1% in 1L). Median PFS was 29.2 months in 1L and 6.0 months in 2L, while median OS was 57.3 months and 16.1 months, respectively. TP53 and ESR1 mutations, and all ctDNA-based metrics were significantly associated with PFS and OS, with a three-level composite ctDNA variable showing the highest prognostic discrimination.

conclusionsOur findings demonstrate that integrating baseline ctDNA-derived TFx metrics with established clinical variables significantly improves risk stratification in HR-positive/HER2-negative ABC.

Indexed as

Biomarkers, TumorBreast NeoplasmsCirculating Tumor DNAAdultAgedAustriaCohort StudiesErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedReceptors, ProgesteroneRisk AssessmentBiomarkers, TumorCirculating Tumor DNAERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, ProgesteronectDNAHR-positive/HER2-negative breast cancerliquid biopsymetastatic breast cancernext-generation sequencingprecision medicine

Identifiers

PMID41922145
PMCPMC13068563

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.