Evidence map›Paper›PMID 40790759›Full record

ReviewJournal of experimental & clinical cancer research : CR2025

Resistance to neoadjuvant chemotherapy in breast cancers: a metabolic perspective.

Manon Desgres, Melis Poyraz, Buse Sari, François P Duhoux, Cédric van Marcke, Cyril Corbet

Abstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

6 authors.

Manon Desgres *Pole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, B1.57.04, Brussels, B-1200, Belgium. manon.desgres@uclouvain.be.
Melis Poyraz *Pole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, B1.57.04, Brussels, B-1200, Belgium.
Buse Sari *Pole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, B1.57.04, Brussels, B-1200, Belgium.
François P DuhouxPole of Medical Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Brussels, Belgium.
Cédric van MarckePole of Medical Imaging, Radiotherapy and Oncology (MIRO), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Brussels, Belgium.
Cyril CorbetPole of Pharmacology and Therapeutics (FATH), Institut de Recherche Expérimentale et Clinique (IREC), UCLouvain, Avenue Hippocrate 57, B1.57.04, Brussels, B-1200, Belgium. cyril.corbet@uclouvain.be.

Funding

Action de Recherche Concertée (UCLouvain) ARC23/28-129
6 · The paper itself

Abstract

Neoadjuvant chemotherapy (NAC) is a cornerstone in the treatment of early-stage high-risk breast cancers (BC), particularly in triple-negative, HER2-positive, and selected hormone receptor-positive subtypes. However, its effectiveness is frequently hindered by intrinsic or acquired resistance, resulting in a significant residual cancer burden (RCB) in more than half of patients. Despite extensive genomic profiling, reliable predictive biomarkers for treatment response remain limited, impeding the development of personalized therapeutic strategies. Emerging evidence highlights tumor metabolic reprogramming as a key non-genetic mechanism contributing to NAC resistance. In this review, we critically examine current advances in metabolic imaging and metabolomics as tools to predict NAC response in BC. We also discuss the role of the tumor microenvironment (TME), including hypoxia and acidosis, in shaping metabolic plasticity and fostering treatment resistance. Furthermore, we explore novel therapeutic strategies targeting metabolic pathways, ranging from enzyme inhibition to dietary interventions, and the use of advanced preclinical models. Together, these insights offer a metabolic framework for overcoming NAC resistance and advancing precision oncology in early-stage BC.

Indexed as

Breast NeoplasmsDrug Resistance, NeoplasmNeoadjuvant TherapyFemaleHumansTumor MicroenvironmentBreast cancerMetabolic disordersMetabolismNeoadjuvant chemotherapyTumor microenvironment

Identifiers

PMID40790759
PMCPMC12337530

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.