The Hidden Link Between Intestinal Helminthiasis, Gut Microbiome Alterations, and Colorectal Cancer Risk: A Systematic Review
Abstract
1. Introduction
2. Methods
2.1. Literature Search Strategy
2.2. Study Selection, Quality of Studies, and Data Extraction
- Studies in the literature addressing helminth infections, the diversity of the gut microbiome, and CRC:
- Language: Only articles published in English were considered.
- Population: Research encompassing human participants of all age demographics.
- Study Design: Observational studies, clinical trials, cohort studies, cross-sectional studies, and case–control studies.
- Publication Period: January 2000 to March 2026.
- Publication Date: Studies in the literature published before January 2000.
- Language: Literature not published in English.
- Study Design: Systematic reviews, meta-analyses, editorials, conference abstracts, and animal studies.
- Relevance: Studies that do not specifically address the association between helminth infection, gut microbiome diversity, and CRC risk.
3. Results
3.1. Study Selection
3.2. Study Characteristics
4. Discussion
4.1. Protective Impacts of Helminths on the Microbiome and CRC Risk
4.2. Harmful and Pro-Carcinogenic Impacts of Helminths
4.3. Context Dependence of Helminth–Microbiome Interactions
4.4. Synthesis and Implications for CRC
5. Limitations
6. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| 16S rRNA | 16S ribosomal ribonucleic acid |
| ADONIS | Permutational multivariate analysis of variance based on distance matrices |
| Akt | Protein kinase B |
| ANOSIM | Analysis of similarity |
| AUC | Area under the curve |
| BFT | Bacteroides fragilis toxin |
| CD4+ | Cluster of differentiation 4-positive |
| CD8+ | Cluster of differentiation 8-positive |
| CI | Confidence interval |
| CNS | Central nervous system |
| CRC | Colorectal cancer |
| DNA | Deoxyribonucleic acid |
| ESPs | Excretory-secretory products |
| ETBF | Enterotoxigenic Bacteroides fragilis |
| FDR | False discovery rate |
| GI | Gastrointestinal |
| GRADE | Grading of Recommendations, Assessment, Development and Evaluations |
| H− | Helminth-negative individuals |
| H+ | Individuals infected helminth |
| HDAC | Histone deacetylase |
| HR | Hazard ratio |
| Ht | Individuals treated for helminth individuals |
| IARC | International Agency for Research on Cancer |
| IBD | Inflammatory bowel disease |
| I-FABP | Intestinal fatty acid-binding protein |
| IFN-γ | Interferon-gamma |
| IL-10 | Interleukin-10 |
| IL-17 | Interleukin-17 |
| IL-1β | Interleukin-1 beta |
| IL20RB | Interleukin-20 receptor subunit beta |
| IL-22 | Interleukin-22 |
| IL-23 | Interleukin-23 |
| IL-5 | Interleukin-5 |
| IL-6 | Interleukin-6 |
| KEGG | Kyoto Encyclopaedia of Genes and Genomes |
| KOs | KEGG orthology terms |
| LMICs | Low- and middle-income countries |
| LPS | Lipopolysaccharide |
| M2-like macrophages | Alternatively activated macrophage-like phenotype |
| MS | Multiple sclerosis |
| MUC2 | Mucin 2 |
| N+ | Necator americanus-infected individuals |
| NF-κB | Nuclear factor kappa-light-chain-enhancer of activated B cells |
| NK | Natural killer |
| NOD2 | Nucleotide-binding oligomerisation domain-containing protein 2 |
| NTDs | Neglected tropical diseases |
| OR | Odds ratio |
| OTUs | Operational taxonomic units |
| PBO | Placebo |
| PCR | Polymerase chain reaction |
| PERMANOVA | Permutational multivariate analysis of variance |
| PHA | Phytohaemagglutinin |
| PI3K | Phosphoinositide 3-kinase |
| pks | Polyketide synthase |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| qPCR | Quantitative polymerase chain reaction |
| RCT | Randomised controlled trial |
| RMS | Relapsing multiple sclerosis |
| RNS | Reactive nitrogen species |
| ROC | Receiver operating characteristic |
| ROS | Reactive oxygen species |
| S+ | Individuals with Strongyloides stercoralis |
| SCFAs | Short-chain fatty acids |
| STHs | Soil-transmitted helminths |
| TEER | Transepithelial electrical resistance |
| TGF-β | Transforming growth factor-beta |
| Th1 | T-helper type 1 |
| Th17 | T-helper type 17 |
| Th2 | T-helper type 2 |
| TLR2 | Toll-like receptor 2 |
| TLR4 | Toll-like receptor 4 |
| TNF-α | Tumour necrosis factor-alpha |
| Treg | Regulatory T cell |
| UniFrac | Unique fraction metric |
| ZO-1 | Zonula occludens-1 |
| α-diversity | Alpha diversity; a measure of species richness and evenness within individual samples |
| β-diversity | Beta diversity; a measure of compositional differences in microbial communities between samples |
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| Study | Country (Study Setting) | Study Design | Population/ Study Group | Sample Size (n) | Sample Type | Helminth Species | Microbiome Profiling Method |
|---|---|---|---|---|---|---|---|
| [51] | Netherlands | Experimental | Healthy adults, experimental Necator americanus infection | 20 | Stool | Necator americanus | 16S rRNA sequencing |
| [52] | Thailand | Cross-sectional | Adults with natural helminth infection | 90 | Stool, Saliva | Mixed helminths | 16S rRNA sequencing |
| [53] | United Kingdom | Experimental | RMS 1 patients, experimental Necator americanus infection | 71 | Stool | Necator americanus | 16S rRNA sequencing |
| [54] | Thailand | Cross-sectional | Children and young adults with natural Ascaris lumbricoides infection | 49 | Stool and helminth gut | Ascaris lumbricoides | 16S rRNA sequencing |
| [55] | Malaysia | Cross-sectional | Adults with natural helminth infection | 70 | Stool | Mixed helminths | 16S rRNA sequencing |
| [56] | Indonesia | Randomised controlled trial | Adults with natural helminth infection | 150 | Stool | Mixed helminths | 16S rRNA sequencing |
| [57] | Indonesia | Randomised controlled trial | Adults with natural helminth infection | 66 | Stool | Mixed helminths | 16S rRNA sequencing |
| [58] | Malaysia | Cross-sectional | Children with natural Ascaris lumbricoides infection | 12 | Stool and helminth gut | Mixed helminths | 16S rRNA sequencing |
| [59] | Tanzania | Cross-sectional | Women of reproductive age with Trichuris trichiura infection | 10 | Stool | Trichuris trichiura | shotgun metagenomics |
| [60] | Liberia, Indonesia | Randomised controlled trial | Adults with natural helminth infection | 402 | Stool | Mixed helminths | 16S rRNA sequencing and Shotgun metagenomics |
| [44] | Ethiopia | Cross-sectional | Children with natural helminth infection | 138 | Stool | Mixed helminths | 16S rRNA sequencing |
| [61] | Thailand | Longitudinal | Adults with natural Strongyloides stercoralis infection | 42 | Stool | Strongyloides stercoralis | 16S rRNA sequencing |
| [62] | Sri Lanka | Cross-sectional | Adults with natural helminth infection | 76 | Stool | Mixed helminths | 16S rRNA sequencing |
| [25] | Malaysia | Longitudinal | Adults with natural helminth infection | 67 | Stool | Mixed helminths | 16S rRNA sequencing |
| [63] | Ecuador | Cross-sectional | Children with natural Trichuris trichiura infection | 97 | Stool | Mixed helminths | 16S rRNA sequencing |
| [64] | Italy | Longitudinal | Adults with natural Strongyloides stercoralis infection | 31 | Stool | Strongyloides stercoralis | 16S rRNA sequencing |
| [65] | Malaysia | Longitudinal | Adults with natural helminth infection | 650 | Stool | Mixed helminths | Shotgun metagenomics |
| Study | Study Aim (s) | Key Microbiome and Clinical Findings |
|---|---|---|
| [51] | To investigate temporal changes in the gut microbiota in response to different dosages (ranging from 50 to 150L3) of Necator americanus larvae in healthy young volunteers. To investigate temporal differences in the gut microbiota between healthy volunteers experiencing different numbers of clinical symptoms. | Alpha diversity: Increased bacterial richness during established infection (Chao1; p = 0.0174; weeks 8–20) Relative abundance: Barnesiella is more abundant in volunteers with higher GI 2 symptoms (p < 0.05) Microbiota stability/timepoints: Instability observed during early infection (weeks 0–8; p = 0.036) with recovery by week 20 (p = 0.004) Clinical outcomes: GI symptoms associated with microbial instability in early infection, with recovery by week 20 |
| [52] | To determine if microbial changes are associated with parasite infection by profiling faecal and saliva microbiota of participants with helminth infection. | No significant changes in stool. Significant changes observed in saliva. Alpha diversity: Increase in saliva (Chao1; p = 0.042 at genus level; p = 0.026 at phylum level) Relative abundance: Increase: Desulfovibrio (p = 0.039), Oxalobacter (p = 0.022), Oxalobacteraceae (p = 0.022), Dialister (p = 0.027), and Abiotrophia (p = 0.031) Decrease: Haemophilus Specific to Opisthorchis viverrini: Odoribacter (p = 0.0066), Phascolarctobacterium (p = 0.031), and Succinivibrio (p = 0.05) |
| [53] | To investigate qualitative and quantitative changes in faecal bacterial composition in RMS 3 patients before and after experimental infection with Necator americanus, and to assess the therapeutic efficacy of live hookworm infective larvae in RMS patients. | Alpha diversity: Decrease in PBO 4 subjects at T9 compared to T pre (p < 0.05) Beta diversity: Higher in N+ (Necator americanus infected) subjects at T9 compared to PBO (p = 0.048) Relative abundance: Parabacteroides significantly expanded in N+ individuals with no relapses Clinical outcomes: 51% of N+ subjects showed no new CNS 5 lesions vs. 28% of PBO subjects |
| [54] | To investigate the gut bacteriomes of Ascaris lumbricoides helminths and stool samples of patients with different infection intensities, as well as to characterise the metabolomes of Ascaris lumbricoides in heavy and light ascariasis cases. | Alpha diversity: Chao1 richness is higher in heavily infected patients (p < 0.05) Beta diversity: Bray–Curtis distance did not distinguish between infected and uninfected individuals (PERMANOVA 6 p < 0.001) Relative abundance: Prevotella is more abundant in ascariasis patients (p < 0.05); Streptococcus is more abundant in heavily infected patients; Lactococcus is more abundant in lightly infected patients Clinical outcomes: Increased levels of essential biomolecules in heavily infected patients |
| [55] | To compare the gut microbiota of individuals with helminth infection and individuals who were not colonised by helminths, and to develop new approaches to examine the interactions of microbes with each other and their hosts. | Alpha diversity: Increase in helminth-colonised individuals (p = 0.04) Beta diversity: ANOSIM 7 (R = 0.18; p = 0.04) Relative abundance: Increase in Paraprevotellaceae, Mollicutes, Bacteroidales, and Alphaproteobacteria in helminth-colonised individuals; increase in Bifidobacterium in helminth-negative individuals |
| [56] | To characterise the joint effects of several predictors, including helminth infection and treatment, on each bacterial category. | Relative abundance: Actinobacteria increased (OR 8 = 1.57; 95% CI 9: 1.05–2.35) and Bacteroidetes decreased (OR = 0.35; 95% CI: 0.18–0.70) in infected subjects receiving albendazole vs. PBO Alpha diversity: No significant differences in Shannon diversity or richness between infected and uninfected groups (pre- and post-treatment) Beta diversity: Bray–Curtis dissimilarity remained stable (61%) between pre- and post-treatment samples Clinical outcomes: STH 10 prevalence reduced in the albendazole group (21.7% vs. 54.3%; p < 0.001) at 21 months |
| [57] | To characterise the association between gut microbiome composition and immune responses, and to examine the effect of helminth infections on this relationship. | Alpha diversity: Higher diversity associated with increased IFN-γ 11 response (β = 0.95; 95% CI: 0.15–1.75; p = 0.056) Relative abundance/effect sizes: Bacteroidetes negatively associated with IL-10 12 response (β = −1.96; 95% CI: −3.05 to −0.87; p = 0.002); Actinobacteria associated with decreased TNF-α 13 (β = −1.55; 95% CI: −2.87 to −0.22; p = 0.024); Firmicutes associated with IL-5 14 response post-treatment (β = −1.52; p = 0.024) Clinical outcomes: Deworming did not significantly alter microbiome–cytokine associations |
| [58] | To characterise the gut microbiota of the SHT parasite Ascaris lumbricoides and compare it to the gut microbiota of their human hosts. | Alpha diversity: Lower in Ascaris (p = 0.006) Beta diversity: Significant separation between Ascaris and human gut microbiota (Bray–Curtis p = 0.002; Jaccard p = 0.004) Relative abundance: Firmicutes higher in Ascaris (84.2%; p = 0.03); Clostridium significantly higher in Ascaris (p = 0.001) Timepoints: Samples obtained 3 days post-albendazole treatment |
| [59] | To investigate the effects of Trichuris trichiura infection on the gut microbiome composition and function in women of reproductive age from Pemba, Tanzania. | Relative abundance: Prevotella is higher in healthy participants; Weissella cibaria, Leuconostoc citreum, and Leuconostoc lactis are lower in infected individuals; Proteobacteria are higher in infected samples; Treponema succinifaciens and Streptococcus gallolyticus are higher in infected samples; overall fungal abundance is higher in infected participants Functional analysis: Cholesterol metabolism and pathogenic infection pathways are higher in infected samples (p < 0.05) Firmicutes/Bacteroidetes ratio: Higher in infected participants |
| [60] | To enhance understanding of human gut microbiome interactions with STHs in Liberia and Indonesia, despite varying gut microbiome structures among individuals. | Alpha diversity: Higher richness and evenness (89.5 vs. 82.1, p = 5.8 × 10−10; 2.8 vs. 2.4, p = 0.0008) Beta diversity: Higher in infected individuals (0.52 vs. 0.43, p < 10−5); lower with self-clearing over time (2010: 0.54 vs. 0.60, p = 0.008) Relative abundance: Prevotella dominant (32%) Functional analysis: Arachidonic acid metabolism and K00560 were enriched; 11 Kos 15 were depleted Clinical outcomes: Self-clearing individuals were older (51.1 vs. 21.4 years, p = 0.012) |
| [44] | To identify and explain differences in microbial communities between STH-infected and non-infected Ethiopian school children. | Alpha diversity: Lower in Trichuris trichiura-infected children (p < 0.05) Beta diversity: Differences by infection status (PERMANOVA p < 0.01) Relative abundance/correlation: Agathobacter was higher in infected children (adjusted p = 0.001) and positively correlated with egg counts (p < 0.05) |
| [61] | To explore the impact of chronic Strongyloides stercoralis infection on the gut microbiome and microbial activity in a longitudinal study. | Alpha diversity: No significant difference Beta diversity: Difference in unweighted UniFrac (R2 = 0.037; p = 0.028) Relative abundance: Ruminococcus torques group is over-represented in chronic infection Timepoints: T0 (baseline), T1 (1 year), and T2 (4 months post-treatment) Clinical outcomes: Reduction in Ruminococcus torques group after treatment; increased carbohydrate metabolism |
| [62] | To explore the qualitative and quantitative differences in microbial community profiles between individuals with patent infections by parasitic nematodes, uninfected individuals, and those who have received regular anthelmintic treatment. | Alpha diversity: No significant difference (Shannon; p = 0.65) Beta diversity: Higher in individuals with (H+) and treated for helminth (Ht) (p = 0.04) Relative abundance: Verrucomicrobiaceae and Enterobacteriaceae are higher in H+; Leuconostocaceae are higher in helminth-negative (H−); Bacteroidaceae are higher in Ht; and Akkermansia muciniphila is higher in H+ individuals |
| [25] | To identify the important factors influencing the gut microbiota and to determine the relative impact of helminth infection on host responses and the microbiota. | Microbiome: Helminth infection influenced gut microbiota more than diet; OTUs 16 associated with fibre intake and Trichuris trichiura burden Clinical/immune: Zinc was higher in Orang Asli (p = 1.67 × 10−9); iron was higher in urban (p = 0.002); CD8+ was higher and naïve CD4+ was lower; and natural killer cells were reduced post-treatment Gene expression: Deworming altered 654 genes (FDR 17 < 10%) and reduced the Trichuris trichiura burden associated with increased IL20RB 18 |
| [63] | To investigate the effects of Trichuris trichiura infections on faecal microbiota and to determine if anthelmintic treatment reverses these changes towards a microbiota composition similar to that of uninfected individuals. | Alpha diversity: Lower in mixed infections (Shannon; p = 0.004) Relative abundance: Clostridium sensu stricto was higher in uninfected individuals (4.1% vs. 1.5%; p = 0.013); uncharacterised clostridial cluster IX bacteria were higher in uninfected individuals (2.3% vs. 0.6%; p = 0.026) Clinical outcomes: 100% cure of STH infections at 7 and 21 days post-treatment |
| [64] | To determine the effects of chronic, monospecific infections by Strongyloides stercoralis on the faecal microbiome and metabolome of human volunteers from a non-endemic area and to establish whether these effects are reversed by anthelmintic treatment. | Alpha diversity: Higher in Strongyloides stercoralis positive (S+) subjects (Simpson’s index: F = 5; p = 0.03; evenness: F = 4.2; p = 0.05) Beta diversity: Lower in S+ subjects (R = 0.11; p = 0.04) Relative abundance: Leuconostocaceae, Ruminococcaceae, Paraprevotellaceae, and Peptococcus are higher in S+; Bacteroides is lower in S+ Metabolites: Alanine, formate, lysine, and leucine are higher in S+ (F ≈ 4.2–4.5; p = 0.03–0.05) |
| [65] | To investigate the interactions between helminth infections and the human gut microbiome in indigenous Malaysians using shotgun metagenomics. | Alpha diversity: Higher richness in infected subjects (p = 2.5 × 10−5); no significant change post-treatment Beta diversity: Small effect size between pre- and post-treatment (ADONIS 19: R2 = 0.014; p = 0.001; ANOSIM: R = 0.072; p = 0.001) Relative abundance: Specific replicating taxa associated with helminth infection Timepoints: Longitudinal changes assessed post-albendazole treatment |
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Shemfe, D.P.; Mvubu, N.E.; Naidoo, P.; Giandhari, J.; Byrd, D.A.; Kader, S.S.; Mkhize-Kwitshana, Z.L. The Hidden Link Between Intestinal Helminthiasis, Gut Microbiome Alterations, and Colorectal Cancer Risk: A Systematic Review. Int. J. Mol. Sci. 2026, 27, 4957. https://doi.org/10.3390/ijms27114957
Shemfe DP, Mvubu NE, Naidoo P, Giandhari J, Byrd DA, Kader SS, Mkhize-Kwitshana ZL. The Hidden Link Between Intestinal Helminthiasis, Gut Microbiome Alterations, and Colorectal Cancer Risk: A Systematic Review. International Journal of Molecular Sciences. 2026; 27(11):4957. https://doi.org/10.3390/ijms27114957
Chicago/Turabian StyleShemfe, Dieketseng Palesa, Nontobeko Eunice Mvubu, Pragalathan Naidoo, Jennifer Giandhari, Doratha Armen Byrd, Sayed Shakeel Kader, and Zilungile Lynette Mkhize-Kwitshana. 2026. "The Hidden Link Between Intestinal Helminthiasis, Gut Microbiome Alterations, and Colorectal Cancer Risk: A Systematic Review" International Journal of Molecular Sciences 27, no. 11: 4957. https://doi.org/10.3390/ijms27114957
APA StyleShemfe, D. P., Mvubu, N. E., Naidoo, P., Giandhari, J., Byrd, D. A., Kader, S. S., & Mkhize-Kwitshana, Z. L. (2026). The Hidden Link Between Intestinal Helminthiasis, Gut Microbiome Alterations, and Colorectal Cancer Risk: A Systematic Review. International Journal of Molecular Sciences, 27(11), 4957. https://doi.org/10.3390/ijms27114957

