ReviewInternational journal of molecular sciences2026
Exploring the Connection Between Ultra-Processed Foods and Breast Cancer: From Adiposity to Inflammation and Beyond.
Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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Who cites it
0 citing papers in PubMed.
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Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this narrative review, we synthesize current epidemiological and mechanistic evidence on the association between ultra-processed food (UPF) consumption, obesity, and breast cancer (BC) risk. The global increase in UPF intake has been linked to substantial metabolic alterations, including weight gain, insulin resistance, low-grade chronic inflammation, and hormonal imbalances-factors that contribute to a tumor-promoting microenvironment. Given the established role of obesity in breast carcinogenesis, understanding the intermediary role of UPFs is critical. Articles were selected from PubMed, SciELO, and ScienceDirect databases using descriptors related to ultra-processed foods, obesity, and breast cancer. The synthesis of current evidence supports the view that excessive UPFs consumption represents a modifiable and preventable risk factor for obesity and BC, underscoring the need for integrated strategies in dietary guidance, public health policy, and cancer prevention.
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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.