Effects of Nutritional Supplementation on Tumor Growth: A Systematic Review and Meta-Analysis of Studies Using Animal Models of Mammary Cancer

Breast cancer remains the most prevalent malignancy among women worldwide, and experimental tumor models are essential for evaluating new therapeutic approaches before clinical application. The Walker-256 carcinoma model exhibits biological behavior comparable to human carcinoma and allows short-term assessment of tumor progression. This study aimed to conduct a systematic review and meta-analysis of the effects of dietary supplementation on Walker-256 tumor growth. We followed the PRISMA guidelines and searched the PubMed, Embase, and Cochrane databases without time restrictions. The meta-analysis included clustering based on the type of supplementation received, comparing treatment groups with control groups. Twenty-one studies were included, analyzing 18 different supplements, and 12 studies were considered for quantitative synthesis. The overall effect indicated a significant reduction in tumor growth with supplementation (SMD = 2.83, 95% CI = 1.99-3.66, <i>p</i> < 0.001), despite high heterogeneity (I<sup>2</sup> = 93.3%). Oils had the greatest impact, particularly fish oil (SMD = 6.99, 95% CI = 3.15-10.83, <i>p</i> < 0.001) and shark liver oil (SMD = 4.43, 95% CI = 2.19-6.67, <i>p</i> < 0.01).

Authors

Institutions

Publication Details

Journal
Biology
Published
2026-01-14
DOI
https://doi.org/10.3390/biology15020150
Primary Topic
Fatty Acid Research and Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effects of Nutritional Supplementation on Tumor Growth: A Systematic Review and Meta-Analysis of Studies Using Animal Models of Mammary Cancer

José Antônio Orellana Turri, Edmund Chada Baracat, José Cipolla-, Ricardo dos Santos Simões et al.
Biology
Fatty Acid Research and Health
article

Effects of Nutritional Supplementation on Tumor Growth: A Systematic Review and Meta-Analysis of Studies Using Animal Models of Mammary Cancer

José Antônio Orellana Turri, Edmund Chada Baracat, José Cipolla-, Ricardo dos Santos Simões, Bruna Ribeiro-Silva
article en

Abstract

Breast cancer remains the most prevalent malignancy among women worldwide, and experimental tumor models are essential for evaluating new therapeutic approaches before clinical application. The Walker-256 carcinoma model exhibits biological behavior comparable to human carcinoma and allows short-term assessment of tumor progression. This study aimed to conduct a systematic review and meta-analysis of the effects of dietary supplementation on Walker-256 tumor growth. We followed the PRISMA guidelines and searched the PubMed, Embase, and Cochrane databases without time restrictions. The meta-analysis included clustering based on the type of supplementation received, comparing treatment groups with control groups. Twenty-one studies were included, analyzing 18 different supplements, and 12 studies were considered for quantitative synthesis. The overall effect indicated a significant reduction in tumor growth with supplementation (SMD = 2.83, 95% CI = 1.99-3.66, <i>p</i> < 0.001), despite high heterogeneity (I<sup>2</sup> = 93.3%). Oils had the greatest impact, particularly fish oil (SMD = 6.99, 95% CI = 3.15-10.83, <i>p</i> < 0.001) and shark liver oil (SMD = 4.43, 95% CI = 2.19-6.67, <i>p</i> < 0.01).

BiologyVol. 15(2)
Universidade de São Paulo (BR), Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Zero hunger
Openalex Percentile: Top 89%
Fatty Acid Research and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.