Evidence mapPaperPMID 41157306Full record

ReviewLife (Basel, Switzerland)2025

Translating Metabolic Interventions into Breast Cancer Therapy: A Comprehensive Review.

Luxi Chen, Stephen L Shiao, Yuan Yuan

Abstract readReview
In one paragraph

Review in Life (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Luxi ChenDepartment of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0002-8880-3347
Stephen L ShiaoDepartment of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Yuan YuanDepartment of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.ORCID 0000-0001-7440-8939

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer remains a leading cause of morbidity and mortality in women worldwide. Despite significant advances in targeted therapies, therapeutic resistance, metabolic toxicities, and disease recurrence continue to limit long-term efficacy. Metabolic syndrome is a major epidemiologic risk factor for the development of breast cancer, with metabolic dysregulation strongly linked to tumor progression, recurrence, and mortality. Crosstalk between insulin and insulin-like growth factor (IGF) signaling and oncogenic pathways such as PI3K/AKT/mTOR provides a mechanistic basis for these associations, highlighting the interplay between metabolism and tumor biology. Given this context, anti-diabetic and anti-obesity agents are being investigated as novel therapeutic strategies in breast cancer. Beyond their established metabolic benefits, these agents can directly modulate tumor cell growth, immune responses, and signaling pathways central to breast cancer pathogenesis. In this review, we summarize the current knowledge on the intersection of metabolic dysregulation and breast cancer as well as critically evaluate preclinical and clinical evidence supporting the use of metabolic therapies in this space.

Indexed as

breast cancercancer therapiesmetabolic syndromesignaling pathwaystumor microenvironment

Identifiers

PMID41157306
PMCPMC12565630

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.