ReviewJournal of experimental & clinical cancer research : CR2025
Resistance to neoadjuvant chemotherapy in breast cancers: a metabolic perspective.
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.
What it found
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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.
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.
Who cites it
3 citing papers in PubMed.
- An Exploratory Study on the Interrelation of Breast Cancer Molecular Phenotypes with Breast Cancer-Associated Adipose Tissues (BCAATs), Neoadjuvant, and Adjuvant Therapies: A Focus on Prognosis and Survival.Medical sciences (Basel, Switzerland) · 2026Article
- Artificial neural network-based immune biomarker signature predicts pathological complete response to neoadjuvant chemotherapy in HER2-negative breast cancer.Frontiers in oncology · 2026Article
- Combined analysis of metabolomics and transcriptomics reveals new indicators for the diagnosis and prognosis of colorectal cancer.Contemporary oncology (Poznan, Poland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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.
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Registered trials
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.