Evidence map›Paper›PMID 40805137›Full record

ArticleCancers2025

Precision Oncology Guided by Genomic Profiling in Breast Cancer: Real-World Data from a Molecular Tumor Board.

Tim Graf, Laura A Boos, Tarun Mehra, Nicola Miglino, Bettina Sobottka, Jan H Rüschoff, Luis Fábregas-Ibáñez, Martin Zoche, Heike Frauchiger-Heuer, Isabell Witzel and 2 more

Abstract read
In one paragraph

Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Review
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

12 authors.

Tim GrafDepartment of Medical Oncology and Hematology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0001-5431-6981
Laura A BoosDepartment of Medical Oncology and Hematology, University Hospital Zurich, 8091 Zurich, Switzerland.
Tarun MehraDepartment of Medical Oncology and Hematology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0009-0005-8429-5110
Nicola MiglinoDepartment of Medical Oncology and Hematology, University Hospital Zurich, 8091 Zurich, Switzerland.
Bettina SobottkaDepartment of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.
Jan H RüschoffDepartment of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-1936-6606
Luis Fábregas-IbáñezDepartment of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.
Martin ZocheDepartment of Pathology and Molecular Pathology, University Hospital Zurich, 8091 Zurich, Switzerland.
Heike Frauchiger-HeuerDepartment of Gynecology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-2311-5412
Isabell WitzelDepartment of Gynecology, University Hospital Zurich, 8091 Zurich, Switzerland.
Alexander RingDepartment of Medical Oncology and Hematology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-0092-1323
Andreas WickiDepartment of Medical Oncology and Hematology, University Hospital Zurich, 8091 Zurich, Switzerland.ORCID 0000-0002-2924-8080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesNext-generation-sequencing-based genomic profiling (GP) of advanced breast cancer (BC) has been increasingly integrated into clinical practice. The growing number of biomarker-based therapies in BC increasingly complicates treatment decisions. As a result, molecular tumor boards (MTBs) have become pivotal. However, real-world data on the utility of MTBs in advanced BC remain limited. This study evaluates the translation of molecular findings in BC patients into MTB recommendations and examines their implementation and outcomes in real-world clinical practice.

methodsThis retrospective, single-center study included 103 BC patients who received GP between January 2018 and December 2023. Patients were discussed at the weekly multidisciplinary MTB of our institution. Data retrieved included patient characteristics, GP results, and MTB recommendations, which were consecutively matched with treatment outcomes, namely the proportion of patients receiving an MTB treatment recommendation, proportion of patients receiving molecularly matched targeted therapy (MTT), and best treatment response.

resultsThe MTB reviewed 94 patients and provided 155 recommendations to 68 patients (72.3%), including systemic anti-cancer treatment (

conclusionsGP and MTBs expand biomarker-matched treatment options to BC patients beyond the standard of care. Around half of the patients who receive MTT experience a clinical benefit. The standardization of procedures, the development of multi-biomarker-based prediction, and the enhancement in MTT delivery to patients are key challenges, which should be addressed in future initiatives.

Indexed as

breast cancergenomic profilingmatched targeted therapymolecular tumor boardnext-generation sequencingprecision oncologyreal-world evidence

Identifiers

PMID40805137
PMCPMC12346032

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Registered trials

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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.