# Dissecting the Genetic Correlations and Causal Effects of Gut Microbiota on Pan‐Cancer Phenotype: Driven by Common Dietary Preferences

**Authors:** Yuhang Zhou, Yun Feng, Yue Wang, Yiwen Wang, Xiaolin Liu, Tao Sun, Junnan Xu

PMC · DOI: 10.1002/fsn3.70708 · 2025-07-28

## TL;DR

This study explores how gut microbiota and dietary preferences influence cancer risk across multiple types of cancer.

## Contribution

The study identifies genetic correlations and causal effects of gut microbiota and dietary preferences on pan-cancer.

## Key findings

- Three gut microbiota showed suggestive genetic correlations with pan-cancer.
- Six gut microbiota provided suggestive causal effects for pan-cancer.
- Four mediation pathways were identified linking dietary preferences to gut microbiota and cancer.

## Abstract

Previous studies have found that the gut microbiota are associated with various types of cancer. However, the effects under the pan‐cancer phenotype and whether they are driven by dietary preferences remain unclear. Here, we aim to comprehensively examine the genetic correlations and causal effects between gut microbiota and pan‐cancer using linkage disequilibrium score (LDSC) regression and Mendelian randomization (MR). In addition, MR was also used to estimate the causal effects of dietary preferences on pan‐cancer and gut microbiota. The causal steps approach and two‐step MR will be used to construct the mediation network. After Bonferroni correction, we identified three gut microbiota that showed suggestive genetic correlations with pan‐cancer. In addition, our evidence suggests that six gut microbiota provide suggestive causal effects for pan‐cancer. However, in the evidence for dietary preferences on pan‐cancer, we identified four significant effects and 20 suggestive effects. Seven pairs of causal effects were identified in the MR analysis of dietary preferences on gut microbiota. After excluding unrobust effects in the sensitivity analysis, we identified four mediation pathways through the causal steps approach. These findings will help us further understand the role of gut microbiota and dietary preferences in cancer and provide valuable insights into dietary patterns for populations at risk of cancer.

Cancer is one of the leading causes of death worldwide. Our study indicates that common dietary preferences can influence pan‐cancer risk by driving changes in gut microbiota composition. We recommend that populations at risk of cancer consider appropriate probiotic or dietary interventions. valuable insights into dietary patterns for populations at risk of cancer.

## Linked entities

- **Diseases:** cancer (MONDO:0004992)

## Full-text entities

- **Diseases:** carcinogenic (MESH:D011230), hypoxic (MESH:D002534), obesity (MESH:D009765), gastric cancer (MESH:D013274), type 2 diabetes (MESH:D003924), colitis (MESH:D003092), CRC (MESH:D015179), non-melanoma skin cancer (MESH:D012878), lung cancer (MESH:D008175), PSC (MESH:D015209), breast cancer (MESH:D001943), esophageal cancer (MESH:D004938), hyperlipidemia (MESH:D006949), IBD (MESH:D015212), pancreatic cancer (MESH:D010190), HCC (MESH:D006528), pan (MESH:C537931), gastritis (MESH:D005756), death (MESH:D003643), prostate cancer (MESH:D011471), metabolic disorders (MESH:D008659), Cancer (MESH:D009369), Chronic inflammation (MESH:D007249), MAFLD (MESH:D005234)
- **Chemicals:** vitamin E (MESH:D014810), monounsaturated fatty acids (MESH:D005229), ferulic acid (MESH:C004999), DSS (-), sugar (MESH:D000073893), salt (MESH:D012492), nitrate (MESH:D009566), short-chain fatty acids (MESH:D005232), triterpenes (MESH:D014315), reactive oxygen species (MESH:D017382), alcohol (MESH:D000438), arabinoxylans (MESH:C085118), olive oil (MESH:D000069463)
- **Species:** Bacteroidales bacterium (species) [taxon 2030927], Blautia obeum (species) [taxon 40520], Brassica oleracea var. botrytis (cauliflower, varietas) [taxon 3715], Bacteroides faecis (species) [taxon 674529], ph 8 [taxon 1118061], Ruminococcus (genus) [taxon 1263], Homo sapiens (human, species) [taxon 9606], Helicobacter pylori (species) [taxon 210], Bacteroides intestinalis (species) [taxon 329854], Akkermansia muciniphila (species) [taxon 239935], Clostridium perfringens (species) [taxon 1502], Bacteroides salyersiae (species) [taxon 291644], Clostridium sporogenes (species) [taxon 1509], Lactobacillus johnsonii (species) [taxon 33959], Rubroshorea almon (species) [taxon 292004], Bacteroides clarus (species) [taxon 626929], Coprobacter fastidiosus (species) [taxon 1099853], Mus musculus (house mouse, species) [taxon 10090]

## Figures

7 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12303853/full.md

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Source: https://tomesphere.com/paper/PMC12303853