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Frontiers in Oncology logoLink to Frontiers in Oncology
. 2026 Jul 16;16:1894132. doi: 10.3389/fonc.2026.1894132

The dual role of parasites and parasite-derived products in cancer biology: a systematic review of in vitro and in vivo evidence

Faisal Minshawi 1,*, Maimonah Alghanmi 2,3, Hassan Alwafi 4, Amal Mohammad Dustakir 5, Bayan Al Zoabi 6, Saleha Khan 6, Hattan S Gattan 2,7, Isra M Alsaady 2,7, Sarah A Altwaim 7,8, Tope Oyelade 9,10, Ayat Zawawi 2,3
PMCID: PMC13422158  PMID: 42534731

Abstract

Parasites and parasite-derived molecules play a complex role in cancer biology, and growing evidence suggests they influence cancer development. This systematic review explores the mechanisms underlying the pro-tumour and anti-tumour effects of parasites and their molecules in experimental cancer models. A total of 34 studies were reviewed, covering whole parasites and parasite-derived molecules, including vesicles, peptides, proteins, and miRNAs, across different cancer types. The evidence shows that the effects of parasites and parasite-derived molecules on cancer depend strongly on the parasite species, the molecules involved, and the host response. Pro-tumour effects were mainly associated with chronic inflammation, oxidative stress, epithelial proliferation, and immune modulation. In contrast, anti-tumour effects were associated with direct cytotoxicity, inhibition of migration, and immune activation. Several parasite-derived molecules exhibited anti-tumour effects beyond their usual sites of infection, suggesting broader biological activity and potential therapeutic relevance. In conclusion, this review highlights the dual, context-dependent influence of parasites and parasite-derived molecules on cancer progression and supports further mechanistic and translational studies to investigate their potential as cancer-promoting factors and anticancer therapeutic candidates.

Systematic Review Registration

https://www.crd.york.ac.uk/PROSPERO/view/, identifier CRD420250656117.

Keywords: anticancer therapy, cancer biology, immune modulation, parasite-derived molecules, tumour microenvironment

Introduction

Cancer continues to be the primary cause of mortality globally (1). Cancer arises through the accumulation of genetic and metabolic alterations that disrupt cellular pathways controlling proliferation, apoptosis, DNA repair, and immune surveillance (2). The cause of cancer involves a complex interplay between endogenous factors like mutations, hormonal influences, and metabolic disturbances, and exogenous factors such as environmental carcinogens, chronic inflammation, and infectious diseases (2, 3). Around 2.2 million new cancer cases globally are associated with viral and bacterial infections (4). Meanwhile, human parasitic infections are less appreciated (5). Infections can contribute to cancer development through various mechanisms, including chronic inflammation, pathogen-encoded oncoproteins that induce genomic alterations, and immunosuppression that diminishes tumour surveillance (6).

Parasites have been extensively studied to understand their relationship with their hosts. They remain prevalent in many endemic settings and are linked to cancer development (7). Parasites can promote cancer through chronic infections that trigger chronic inflammation, tissue damage, fibrosis, and immune dysregulation. One of their strategies for sustained presence with the host is to evade immune detection by secreting molecules that suppress the immune response (8). In this context, parasite-derived products could serve as potential candidates for treating autoimmune diseases and allergies (9). Our previous systematic review summarised evidence indicating that some helminth-derived proteins can reduce intestinal inflammation by upregulating anti-inflammatory cytokines, supporting T regulatory cell function, and improving outcomes in a colitis model (10). Parasites and their proteins can have anti-inflammatory effects, but this might be a double-edged sword in cancer. Immunomodulation may promote anti-tumour activity by regulating inflammation and shaping immune responses (11, 12), but it can also impair immune surveillance and reduce the immune system’s ability to recognise and eliminate malignant cells. However, limited studies have investigated whether these secretory molecules may directly interact with cancer cells, thereby increasing cell survival or promoting proliferation. Strong evidence indicates that cancer-promoting processes are present in Schistosoma haematobium (S. haematobium), Opisthorchis viverrini (O. viverrini), and Clonorchis sinensis (C. sinensis), all of which are associated with persistent infection and foster a microenvironment conducive to malignant transformation (13). On the other hand, some parasites or parasite-derived proteins, such as Echinococcus granulosus (E. granulosus), Toxoplasma gondii (T.gondii), and Trypanosoma cruzi (T.cruzi), can enhance the immune response against tumours, inhibit tumour growth, or mimic cancer antigens to stimulate the immune system (14).

The dual effect illustrates the complex interactions between parasites and cancer, involving chronic infection, host immune responses, tissue remodelling, and tumour microenvironment dynamics (1316). Parasite-derived proteins have also been assessed in vitro for their effects on cancer cell cycle progression, apoptosis, motility, and cytokine responses under controlled conditions (17). This paradox underscores the biological and clinical significance of the association between parasites and cancer (4). Despite these observations of the paradoxical effect of parasites, they remain scattered across individual experimental models. Moreover, there remains a lack of comprehensive understanding of the common mechanistic pathways across diverse tumour types and parasitic species. Therefore, this study was conducted to evaluate the mechanistic pathways underlying both pro-tumour and anti-tumour effects of parasites or parasite-derived products across different experimental models and to identify shared versus tumour-specific biological patterns across cancer types.

Methodology

Search strategy and study selection

This systematic review was conducted and reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement (1) and adhered to the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines (2). The review protocol was prospectively registered with PROSPERO (Registration ID: 2025 CRD420250656117).

The literature search was conducted using PubMed/MEDLINE, EMBASE, and the Cochrane Library from the databases’ inception to January 2026 (Figure 1). Search terms combined controlled vocabulary (MeSH and Emtree) and free-text keywords related to parasites (e.g., parasite, helminth, protozoa), parasite-derived factors (e.g., excretory–secretory products, parasite-derived proteins, microRNA), and cancer-related outcomes (e.g., cancer, tumorigenesis, carcinogenesis, apoptosis, immune modulation, signalling pathways). Boolean operators, truncation, and alternative spellings were applied to maximise sensitivity.

Figure 1.

Flowchart illustrates a systematic review selection process: 498 records identified, 2 duplicates removed, 496 screened, 414 excluded, 82 full texts reviewed, 48 excluded for various reasons, and 34 studies included in the final review.

The PRISMA flow diagram of the study inclusion/exclusion process. * Medline, EMBASE, Web of Knowledge, Cochrane Library databases. ** Titled and abstract screening.

Eligibility criteria

Studies were eligible if they investigated the direct effects of parasites or parasite-derived molecules on cancer initiation, progression, or regression, using in vitro or in vivo models and reporting mechanistic or biological cancer-related outcomes (e.g., apoptosis, proliferation, tumour growth, or regression).

Exclusion criteria included review articles, editorials, conference abstracts, non–peer-reviewed publications, studies involving non-human parasites, irrelevant experimental models, absence of cancer-related outcomes, or studies limited to diagnostic or immune profiling without tumour endpoints. Articles unavailable in English or without an accessible full text were also excluded.

Study selection

After removal of duplicate records (n = 2), 496 records were screened by title and abstract. Records not addressing parasite–cancer interactions or reporting non-original data were excluded. Eighty-two reports underwent full-text assessment for eligibility; 48 were excluded for predefined reasons (Figure 1). A total of 34 studies were included in the final review.

Risk of bias evaluation

The risk of bias was independently evaluated utilising the SYRCLE Risk of Bias tool tailored for in vivo studies. The assessment encompassed key domains, including selection, performance, detection, attrition, reporting, and other biases. Each domain was classified as low, high, or unclear risk based on the methodological details provided. A total of twenty-three studies were examined. A high risk of bias indicated the potential presence of systematic errors, whereas a low risk suggested a robust methodological approach. An unclear risk signified insufficient information to determine bias. This evaluation underscores common limitations in experimental parasitology and cancer research, particularly in blinding, and highlights the need for improved reporting standards to enhance reproducibility and methodological validity.

Data collection process and data synthesis

Data extraction was performed independently by five reviewers using a standardised extraction form. Discrepancies were resolved by consensus. Extracted data included publication details, parasite species or parasite-derived molecules, cancer type or experimental model, study design, biological source materials, proposed mechanisms of action, measured outcomes, molecular targets or pathways, and the reported effect on cancer progression (pro-tumorigenic or anti-tumorigenic).

Results

Characteristics of included studies

A total of 498 studies were identified, and 34 met the inclusion criteria for this systematic review (Figure 1). These studies evaluated the effects of parasites and parasite-derived products on cancer biology using in vivo, in vitro, and combined experimental approaches. This review showed a wide range of parasites and parasite-derived molecules, including O. viverrini, S. haematobium, Schistosoma mansoni (S. mansoni), Schistosoma japonicum (S. japonicum), Trichinella spiralis (T.spiralis), T. gondii, T. cruzi, Cryptosporidium parvum (C.parvum), Blastocystis spp.(B. spp.), Blastocystis hominis (B. hominis), C. sinensis, Toxocara canis (T. canis), P. falciparum VAR2CSA, and Anisakis spp (A. spp.). The tested parasite-derived products include soluble antigens, excretory–secretory products, extracellular vesicles, lysate antigens, recombinant proteins, peptides, and parasite-derived non-coding RNAs.

The most studied cancer models include cholangiocarcinoma, colorectal, hepatocellular carcinoma, bladder cancer, melanoma, breast cancer, soft tissue sarcoma, and Burkitt lymphoma. The in vivo studies mainly used hamsters, mice, rats, SCID mice, nude mice, and tumour-bearing mouse models, whilst in vitro studies used various cancer cell lines, including CHO, H69, HCT116, HT-29, Caco-2, HepG2, Hepa1-6, SW620, and HUVECs.

In summary, the included studies provided a solid foundation for studying the mechanistic effects of parasite species and products on different cancer types using various experimental models.

Quality of included studies

The quality assessment showed variable risk of bias in animal studies (Figure 2). Most studies showed a low risk of bias for baseline characteristics, including incomplete outcome data and selective outcome reporting, indicating acceptable comparability between groups and limited concerns about missing data or selective reporting. On the other hand, several domains showed a high risk of bias due to methodological limitations, including potential selection, performance, and detection biases. In addition, insufficient reporting of key methodologies, such as random sequence generation, random housing, and random outcome assessment.

Figure 2.

Horizontal stacked bar chart titled “Risk of Bias” shows proportions of studies rated low (green), high (red), or unclear (yellow) risk across ten domains, including selection, performance, detection, attrition, and reporting biases. Baseline characteristics have 100 percent low risk, while several categories such as blinding (caregivers) and allocation concealment display high proportions of high or unclear risk. A legend on the right marks color coding for low, high, and unclear risk. The x-axis shows percent of studies from zero to one hundred percent.

Risk-of-bias summary of the included studies according to SYRCLE domains. Stacked bars indicate the percentage of studies rated as low risk (green), high risk (red), or unclear risk (yellow) for each methodological domain.

The effects of parasites and parasite-derived proteins on tumour promotion and suppression

Overview of included studies

This systematic review included 34 studies. However, because some studies included both in vivo and in vitro experimental designs, these were analysed independently, yielding 38 experimental datasets for effect classification (Table 1). Overall, 26 of 38 datasets (68.4%) reported pro-tumour effects, whereas 12 of 38 datasets (31.6%) showed anti-tumour effects. In the in vivo studies, 17 of 23 studies (73.9%) showed pro-tumour activity, whilst 6 studies (26.1%) reported anti-tumour activity. Similarly, in the in vitro studies, 9 of 15 studies (60%) showed pro-tumour effects, whereas 6 studies (40%) showed anti-tumour effects.

Table 1.

Characteristics of the included studies investigating parasite- and parasite-derived factors in cancer models.

Study Year Parasite/parasite product Cancer type Study type Model/cell liens Control
(18) 1978 O. viverrini CCA In vivo Hamster Untreated control; DMN alone control; Parasite alone control
(19) 1987 O. viverrini CCA In vivo Hamster Untreated control; Parasite-only controls (various doses); Carcinogen-only controls (various doses)
(20) 1988 O. viverrini CCA and hepatocellular nodules In vivo Hamster Untreated control; Nitrite control; Aminopyrine control; Parasite control
(21) 1988 O. viverrini Liver and Pancreatic cancer In vivo Hamster Basal diet control; BHA alone control; DHEA alone control; Parasite + diet controls
(22) 1992 T. gondii-lysate antigen Soft tissue sarcoma In vivo Rat Untreated tumour control; Saline control
(23) 1994 O. viverrini CCA In vivo Hamster DMN alone control; OV alone control; Untreated control
(24) 1996 O. viverrini CCA and HCC In vivo Hamster Untreated control (0 metacercariae); Noninfected control (BrdU analysis)
(25) 1998 O. viverrini CCA and hepatocellular lesions In vivo Hamster liver tissue Disease model control; Vehicle control
(26) 2001 T. cruzi CRC In vivo Rat Chemical carcinogen-treated control; non- immunised control
(27) 2009 O. viverrini CCA In vivo Hamster/tissue Normal control; NDMA alone control; Infection alone control
(28) 2009 S. haematobium antigen Subcutaneous sarcoma In vivo nude mice Untreated control animal group
(29) 2009 S. haematobium antigen SCC In vitro CHO cells Untreated control cells (multiple assays)
(30) 2011 O. viverrini CCA In vivo Parasite infection model Normal group; Infection alone group; NDMA alone group
(31) 2011 S. haematobium antigen bladder cancer In vivo Mouse urothelium Vehicle control (saline)
(32) 2012 B. hominis antigens CRC In vitro HCT116 cells Untreated control; Positive control (mitogen)
(33) 2012 C. parvum Digestive adenocarcinoma In vivo SCID mouse Negative control (PBS); Negative control (inactivated oocysts)
(34) 2013 S. mansoni HCC In vivo Mouse Control animals; Untreated control cells
(35) 2013 S. haematobium-SEA Tumour-like phenotypes in urothelial cells In vitro HCV29 cells S. mansoni infection only control; Healthy control
(36) 2015 T. spiralis and T. spiralis-ES L1 antigens Melanoma In vitro/In vivo B16 cells/mouse Uninfected control animals (in vivo); Untreated melanoma cells (in vitro)
(37) 2015 O. viverrine-Ov-GRN-1 CCA In vitro/In vivo Cell lines/mouse Control recombinant protein (rTRX); Control dsRNA-treated flukes; Vehicle control (PBS); Baseline control
(38) 2015 O. viverrine EVs CCA In vitro/In vivo H69 cells/mouse Uninfected control hamsters; ES products control; BSA negative control; Medium alone control
(39) 2015 B.spp. ST-1 CRC In vitro HT-29 cells Untreated control
(40) 2015 P. falciparum-VAR2CSA protein BL In vitro BL cell lines/tissue Endemic controls; Technical controls; Specificity controls; Protein control; Negative controls
(41) 2016 O. viverrini ES CCA In vitro H69/CaCo-2 cells Untreated control
(42) 2017 O. viverrini Ov-GRN-1 CCA In vitro HUVECs Medium-alone control; Blank control; Negative control (anti-angiogenic); Positive control (pro-angiogenic)
(43) 2017 C. sinensis ES CCA In vitro H69 cells Untreated control; Vehicle control (PBS); Negative control siRNA; Liposome-only control
(44) 2018 S. mansoni-antigen extract and T. spiralis-antigen extract CRC In vivo Mouse Untreated control; Cancer control; ASMA control; ATSA control
(45) 2019 S. japonicum MicroRNA Sja-miR-3096 derived from HCC In vitro/In vivo Hepa1-6/SMMC-7721/nude mice Negative control mimics; Blank control; EV extraction control; Uninfected group; Empty plasmid control; Vehicle control (PBS); NC siRNA
(46) 2020 T. canis Breast cancer In vivo 4T1 mouse Tumour-only control
(47) 2020 S. mansoni eggs + SEA (SEA) + IPSE/α-1 CRC In vitro SW620/hamster/biopsy DMN alone control; OV alone control; Untreated control
(48) 2021 S. japonicum microRNA (sja-miR-61) HCC In vitro/In vivo Hepa1-6/HepG2/HUVEC/mice Negative control mimic; Mock control; NC siRNA; Empty vector control; NC-transfected cells; Uninfected mice
(49) 2021 C. parvum CRC In vivo SCID mouse mice ileo-cecal tissue Uninfected control
(50) 2024 T. gondii-GRA1-derived peptide CRC In vitro Caco-2/HT29/HepG2 Carcinogen alone control; Parasite alone control; Untreated control
(51) 2024 A. spp-EVs CRC In vitro intestinal organoids PBS

TLA, T. gondii lysate antigen; DHEA, dehydroepiandrosterone; BHA, butylated hydroxyanisole; CHO, Chinese hamster ovary; SCID, severe combined immunodeficiency; Sh-SEA/SEA, soluble egg antigen; ESP, excretory-secretor; ES L1, excretory-secretory antigens from muscle larvae; EVs, extracellular vesicles; BL, Burkitt lymphoma; CCA, cholangiocarcinoma; CRC, Colorectal cancer; HCC, Hepatocellular carcinoma; SCC, Squamous cell carcinoma; HUVECs, human umbilical vein endothelial cells; NDMA, N-nitrosodimethylamine.

Mechanistically, the pro-tumour effects were grouped into four categories: coinfection or co-carcinogenesis, chronic infection-associated carcinogenesis, immune modulation that favours tumour progression, and activation of oncogenic signalling pathways. In contrast, the anti-tumour effects were classified into three main mechanisms: induction of apoptosis, inhibition of tumour migration and angiogenesis, and activation of anti-tumour immune responses.

In vitro effects of parasites and parasite-derived proteins on tumour promotion and suppression

The analysis of 15 in vitro studies (Table 2) revealed a complex, often dichotomous relationship between parasitic organisms and cancer, demonstrating that parasite-derived molecules can promote or suppress tumorigenic phenotypes. The majority of the studies (9 out of 15) showed a pro-tumorigenic effect through immune modulation and activation of oncogenic pathways.

Table 2.

In vitro studies of parasite and parasite-derived proteins on cancer.

Pro-tumour effects (n = 9 studies)
Ref Parasite/protein Target cancer (Clinical) Cell line/model Key mechanisms Outcomes measured Molecular targets
Immune modulation
(32) B. hominis antigens Colorectal cancer HCT116 cells ↑Proliferation, ↑ Th2 cytokines expression MTT viability, gene
expression
↑TNF-kB, ↑Th2
cytokines, ↑Cathepsin B
Activation of oncogenic pathways
(37) O. viverrini
Ov-GRN-1
Cholangiocarcinoma H69 cholangiocytes ↑Proliferation, Scratch assays,
proliferation, migration
↑CXCL1/2/8-CXCR2-
EGFR-MAPK axis
(38) O. viverrini EVs Cholangiocarcinoma H69 cholangiocytes EV internalization,
↑proliferation
Cell proliferation, IL-6
secretion
↑MAPK signalling, ↑IL-6
(41) O. viverrini
ES products
Cholangiocarcinoma H69, Caco-2
cells
↑Glycolysis, ER stress Proteomic analysis Glycolysis/gluco-
neogenesis pathways
(42) O. viverrini Ov-GRN-1 Cholangiocarcinoma HUVECs ↑Angiogenesis,
↑endothelial proliferation
Proliferation, tubule
formation
Angiogenesis
stimulation
(43) Clonorchis sinensis
ESP + NDMA
Cholangiocarcinoma H69
cholangiocytes
↑Proliferation,
G2/M phase shift
Cell proliferation, cell
cycle
↑Connexin 43/26,
↑E2F1, ↑Ki-67
(47) S. mansoni
eggs/SEA/IPSE
Colorectal cancer SW620 cells Wnt/β-catenin
activation, JNK/c-Jun
pathway
β-catenin, AP-1
reporter, proliferation
↑Wnt/β-catenin, ↑
c-Jun/AP-1, ↑Cyclin D1
(29) S. haematobium total antigen Squamous cell
carcinoma
CHO cells ↑Proliferation,
↑migration, ↑invasion,
↓apoptosis
Cell proliferation,
apoptosis, migration,
invasion
↑Bcl-2, ↓p27, cell
cycle disruption
(51) Anisakis spp. EVs Colorectal cancer Human
intestinal
organoids
↓Tumour suppressors RNA-seq, qRT-PCR,
cytokine profiling
↓EPHB2, ↓LEFTY1,
↑NUPR1
Anti-tumour effects (n = 6 studies)
Ref Parasite/protein Target cancer (clinical) Cell line/model Key mechanisms Outcomes measured Molecular targets
Direct tumour cell cytotoxicity and growth suppression
(36) T. spiralis ES L1 Melanoma B16 melanoma
cells
↑Apoptosis (extrinsic
pathway)
Cell survival,
apoptosis assays
↑Caspase-3,
↑Caspase-8
(39) B.spp. ST-1 Colorectal cancer HT-29 cells Retinoic acid pathway
modulation
Gene expression
arrays, qRT-PCR
↑CRABP2, ↓PCNA,
↑RARα
(40) P. falciparum VAR2CSA Burkitt lymphoma Burkitt lymphoma
cell lines
Oncofetal chondroitin
sulphate targeting
Binding assays,
cytotoxicity
Oncofetal chondroitin
sulphate A
(50) T. gondii peptides Colorectal +
Hepatocellular
carcinoma
Caco-2, HT29,
HepG2
↑Apoptosis MTT viability, flow
cytometry
↓Bcl-2, ↓APAF1,
cytochrome c/caspase
cascade
Inhibition of migration
(45) S. japonicum miR-3096 Hepatocellular
carcinoma
Hepa1-6,
SMMC-7721
↓Proliferation,
↓migration, G0/G1 arrest
Proliferation, colony
formation, migration
↓PIK3C2A -> ↓mTOR
signalling
(48) S. japonicum miR-61 Hepatocellular
carcinoma
Hepa1-6,
HepG2,
HUVECs
↓Migration,
↓angiogenesis
Migration assays,
angiogenesis markers
↓PGAM1 (glycolytic
enzyme)

B. hominis antigens enhanced the proliferation of colorectal cancer cells and the expression of Th2-associated cytokines, indicating a pro-tumour immunomodulatory effect (32). Four studies examined the pro-tumorigenic effects of O. viverrini-derived products on biliary and endothelial cell lines. O. viverrini extracellular vesicles were internalised by H69 cholangiocytes, driving cell proliferation and Interleukin-6 (IL-6) secretion through MAPK signalling activation (38). Another study reported that O. viverrini Ov-GRN-1 promoted both proliferation and migration of H69 cholangiocytes through the CXCL1/2/8-CXCR2-EGFR-MAPK signalling axis, as confirmed by scratch and proliferation assays (37). A subsequent proteomic study demonstrated that O. viverrini excretory-secretory products reprogrammed metabolism in H69 and Caco-2 cells, inducing endoplasmic reticulum stress and upregulating glycolysis and gluconeogenesis pathways (41). O. viverrini Ov-GRN-1, extracellular vesicles, and ES products promoted cholangiocyte proliferation, migration, angiogenesis, and metabolic reprogramming (42). Moreover, C. sinensis excretory-secretory products and the carcinogen NDMA induced cell-cycle progression by upregulation of Ki-67, E2F1, and connexin 43/26 (43). S. mansoni eggs, soluble egg antigen, and IPSE activated the Wnt/β-catenin and JNK/c-Jun pathways in SW620 colorectal cancer cells through activated Wnt/β-catenin and JNK/c-Jun signalling (47). S. haematobium total antigen enhanced proliferation and migration whilst reducing apoptosis in CHO cells, whilst suppressing apoptosis, mediated through Bcl-2 upregulation, p27 downregulation, and cell cycle disruption (29). Using human intestinal organoids, Anisakis extracellular vesicles suppressed tumour suppressor pathways by downregulating the tumour suppressors EPHB2 and LEFTY1 and upregulating NUPR1 (51).

Conversely, a subset of studies highlights the potent anti-tumorigenic activities of parasite-derived molecules (6 out of 15). ES products from the nematode T. spiralis, for example, induce apoptosis in melanoma cells via the extrinsic pathway, involving the activation of caspases 8 and 3 (36). In a similar vein, peptides derived from T. gondii trigger mitochondrial-dependent apoptosis in colorectal and liver cancer cell lines by downregulating Bcl-2 and upregulating the apoptosis-promoting factor APAF1 (50). Research on S. japonicum has identified specific microRNAs with significant anti-cancer properties (45, 48). Notably, Sja-miR-3096 inhibits hepatoma cell proliferation and induces G0/G1 cell cycle arrest by targeting PIK3C2A, thereby suppressing the mTOR signalling pathway. Another microRNA, sja-miR-61, inhibits hepatoma cell migration and angiogenesis by directly targeting phosphoglycerate mutase 1 (PGAM1). In colorectal cancer models, lysates from B.spp. ST-1 were found to modulate retinoic acid signalling pathways by upregulating CRABP2 and RARα, which, in turn, led to downregulation of the proliferation marker PCNA and reduced cell growth (39). The VAR2CSA, a surface protein of P. falciparum, selectively bound Burkitt lymphoma cell lines via oncofetal chondroitin sulphate, thereby demonstrating direct tumour cell killing by exploiting the aberrant re-expression of this placenta-restricted glycosaminoglycan on malignant lymphoma cells (40).

In summary, in vitro evidence underscores the context-dependent and molecule-specific roles of parasitic factors in carcinogenesis. While many parasite-derived components clearly promote established hallmarks of cancer, including sustained proliferation, angiogenesis, and immune evasion, others exhibit strong antiproliferative and proapoptotic effects. This dual functionality suggests that specific parasite molecules could serve not only as etiological agents in infection-associated cancers but also as a novel source of targeted therapeutic agents.

In vivo effects of parasitic infection and parasite-derived molecules on cancer

The in vivo studies comprise 23 studies utilising different murine and hamster models (Table 3). Most in vivo studies reported tumour-promoting outcomes (17 of 23), frequently in the presence of chemical or viral cofactors. O. viverrini infection was consistently associated with cholangiocarcinoma in animal models, with tumour incidence approaching 100% in Syrian golden hamsters co-exposed to carcinogens such as dimethylnitrosamine (DMN) or N-nitrosodimethylamine (NDMA) (1820, 2325). Pathological features included chronic inflammation, cholangiofibrosis, and epithelial dysplasia, accompanied by activation of Wnt/β-catenin and MAPK signalling, and increased expression of ERBB2 and Transforming Growth Factor-Beta1 (TGF-β1). Chronic infection with S. haematobium (31) and S. mansoni (35) induces urothelial inflammation and dysplasia in bladder tissues and hepatocellular carcinoma, respectively, in a murine model. This effect is mainly observed through the generation of reactive oxygen and nitrogen species (ROS/RNS)- mediated DNA damage, including P53 gene mutations.

Table 3.

In vivo studies of parasite and parasite-derived proteins on cancer.

Pro-tumour effects (n = 17 studies)
Ref Parasite/protein Cancer type/model Animal model Key mechanisms Outcomes measured Molecular Targets
Chronic Infection and co-carcinogenesis
(18) O. viverrini Cholangiocarcinoma Syrian golden hamsters Synergistic carcinogenesis with DMN Cholangiocarcinoma incidence (100%) DMN acts on parasite-altered epithelium
(19) O. viverrini Cholangiocarcinoma Syrian golden hamsters Dose-dependent tumour promotion Cholangiocarcinoma incidence, histopathology Parasite-enhanced DMN carcinogenesis
(20) O. viverrini Cholangiocarcinoma and HCC Syrian golden hamsters Synergistic effect with nitrite/aminopyrine Tumour incidence, histopathology Nitrosamine formation with inflammation
(23) O. viverrini Cholangiocarcinoma Syrian golden hamsters Chronic inflammation, epithelial proliferation Cholangiocarcinoma incidence/severity DMN and parasite-induced inflammation
(24) O. viverrini Cholangiocarcinoma and HCC Syrian golden hamsters Chronic irritation, increased cell turnover Proliferative lesions, cholangiofibrosis Tumour-promoting chronic inflammation
(25) O. viverrini Cholangiocarcinoma and HCC Syrian golden hamsters Parasite clearance effects, chemoprevention Lesion counts, liver weights Inflammatory modulation, DHEA pathway
(31) S. haematobium Bladder cancer CD-1 mice Chronic inflammation, ROS/RNS generation Urothelial dysplasia, inflammatory infiltrate Reactive oxygen/nitrogen species
(35) S. mansoni Hepatocellular carcinoma Swiss albino mice Synergistic hepatocarcinogenesis with DEN Liver dysplasia, AFP/ferritin, survival Chronic inflammation, p53 mutation
(33) C. parvum Digestive adenocarcinoma CB17-SCID mice Chronic infection, epithelial transformation Neoplastic lesions, parasite burden Infection-driven proliferation, immune evasion
Immune modulation
(21) O. viverrini Liver and Pancreatic cancer Syrian golden hamsters Immune modulation, GST-P induction Lesion count, GST-P expression GST-P expression, bile duct proliferation
(28) S. haematobium total antigen Subcutaneous sarcoma Nude mice xenograft (subcutaneous CHO inoculation) Schistosomal antigens → fibroblast stimulation → sarcoma formation Gross tumourigenesis Granuloma → cytokines/growth factors → fibroplasia
(46) T. canis Breast cancer BALB/c mice Tumour immune microenvironment modulation Tumour size/weight, immune populations ↑Th2, macrophages, ↓CD8+ T cells
(49) C. parvum Colorectal cancer CB17-SCID mice Immune modulation, tumour microenvironment Adenocarcinoma development, gene expression ↓α-defensins, Wnt/NF-κB/Hedgehog pathways
Activation of oncogenic pathways
(27) O. viverrini Cholangiocarcinoma Syrian golden hamsters RB pathway disruption Gene expression, histopathology ↓RB1, ↓p16INK4, ↑cyclin D1, CDK4
(30) O. viverrini Cholangiocarcinoma Syrian golden hamsters Dysregulated gene expression, oncogenesis Transcriptomic profiling, histology ↑ERBB2, ↑MMP9, ↑TGF-β1, MAPK/Wnt signalling
(37) O. viverrini Ov-GRN-1 Cholangiocarcinoma BALB/c mice Epithelial proliferation, angiogenesis Wound closure, angiogenesis, gene expression ↑CXCL1/2/8–CXCR2–EGFR–MAPK axis
(34) S. haematobium Bladder cancer CD-1 mice Oestrogen-DNA adducts, oxidative stress Proliferation, apoptosis, DNA damage Catechol-oestrogens, DNA adduct formation
Anti-tumour effects (n = 6 studies)
Ref Parasite/protein Cancer type/model Animal model Key mechanisms Outcomes measured Molecular targets
Apoptosis
(36) T. spiralis ES L1 Melanoma C57BL/6 mice Apoptosis induction, necrosis suppression Tumour volume, necrosis/apoptosis % Caspase-3/8 dependent apoptosis
Inhibition of migration
(45) S. japonicum miR-3096 Hepatocellular carcinoma BALB/c nude mice miR-3096 suppresses via PIK3C2A/mTOR Tumour volume/weight reduction ↓PIK3C2A → ↓mTOR signalling
(48) S. japonicum miR-61 Hepatocellular carcinoma C57BL/6J mice Migration/angiogenesis inhibition via PGAM1 Tumour volume/weight, CD34, migration ↓PGAM1, anti-angiogenesis
Immune activation
(22) T. gondii TLA Fibrosarcoma Wistar rats Immune modulation, Thy-1+ cell activation Tumour growth inhibition, immune infiltration Thy-1+ cells, host immune response
(26) T. cruzi Colorectal cancer Wistar rats Immune modulation, host resistance Colon tumour incidence, histopathology Systemic immune modulation
(44) S. mansoni and T. spiralis Colorectal cancer Swiss albino mice Immune modulation, regulatory T cells Tumour size, cytokine levels, Treg cells ↑FoxP3+ Tregs, ↓IL-17, ↑IL-10

In addition, 4 studies showed that immunomodulation promotes carcinogenesis, including O. viverrini (35), S. haematobium total antigen (28), T. canis (46), and C. parvum (49). O. viverrini promoted liver and pancreatic lesions with increased GST-P expression, which is an immune modulatory effect, and bile duct proliferation, whilst S. haematobium tatal antigen enhanced sarcoma formation through fibroblast stimulation, granuloma-related cytokines, and fibroplasia. T. canis induces breast cancer by shifting the tumour microenvironment towards Th2 responses and suppressing CD8+ T cells. In addition, C. parvum promoted CRC development in SCID mice, leading to alterations in immune and cancer-related signalling pathways.

Moreover, some parasites may promote tumour progression by activating or disrupting cancer-related signalling pathways. O. viverrini was linked to cholangiocarcinoma through RB pathway disruption, reduced RB1 and p16INK4 expression, and increased cyclin D1/CDK4 activity (27). Other O. viverrini models showed dysregulated oncogenic gene expression involving ERBB2, MMP9, TGF-β1, MAPK, and Wnt signalling (30). S. haematobium promoted bladder cancer through oestrogen-DNA adduct formation, oxidative stress, and DNA damage (34). In addition, O. viverrini Ov-GRN-1 enhanced epithelial proliferation and angiogenesis through the CXCL1/2/8–CXCR2–EGFR–MAPK axis. Overall, these results indicate that parasite-associated oncogenic signalling may drive proliferation, DNA damage, angiogenesis, and malignant transformation (37).

A limited number of in vivo studies (6/23) showed antitumour activity through apoptosis, migration inhibition, and immune activation. T. spiralis ES L1 reduced melanoma growth by inducing caspase-3/8–dependent apoptosis (36). S. japonicum miR-3096 and miR-61 inhibited hepatocellular carcinoma growth by reducing tumour volume, migration, and angiogenesis through suppression of PIK3C2A/mTOR and PGAM1-related pathways (45, 48). In addition, T. gondii TLA (22), T. cruzi (26), and combined S. mansoni/T. spiralis (44) exposures showed anti-tumour activity through an immunoregulatory mechanism in which FoxP3+ Treg expansion and Interleukin-10 (IL-10) elevation suppressed pro-tumorigenic chronic colonic inflammation, as evidenced by a significant reduction in IL-17.

In summary, most findings supported a pro-tumour effect of parasite infection. The in vivo evidence indicates that chronic infection, persistent inflammation, oxidative stress, and immune deregulation are the major drivers of parasite-induced tumour progression. On the other hand, limited studies found that parasite-derived products may exert antitumour effects by acting as immunomodulatory factors that suppress tumour growth, enhancing immune cell infiltration and inducing molecular mimicry or cross-reactivity against tumour-associated antigens.

Discussion

This study aimed to examine the mechanisms underlying the dual effects of parasites and their products on cancer across different experimental models. The results reveal a dual role in cancer biology. Observations from 34 studies suggest that both protumour and antitumour effects are influenced by parasite dependence, chronicity, and the host environment (Figure 3). The studies showed that the parasites may promote cancer progression through various mechanisms, including chronic inflammation, co-infection, co-carcinogenesis, and immunomodulation. Conversely, they exert anti-tumour effects through direct cytotoxicity, immune activation and surveillance, and molecular modulation.

Figure 3.

Infographic illustrating the dual roles of parasites in cancer, with left half showing pro-tumor effects from specific parasites via chronic inflammation, oxidative stress, proliferation, migration, and immunomodulation, leading to various cancers, and right half showing anti-tumor effects from other parasites through apoptosis, migration inhibition, angiogenesis suppression, and immune activation, affecting different tumor types.

Dual role of parasites and parasite-derived proteins in cancer biology. The figure summarises the effects of parasites and parasite-derived molecules on tumour progression or regression. Created in BioRender. Minshawi, F. (2026) https://BioRender.com/eeysm78.

This study highlights that chronic infection acts as a direct carcinogen. For instance, chronic infection of S. haematobium promotes bladder carcinoma, and S. mansoni promotes hepatocellular carcinoma through sustained ROS/RNS-mediated genotoxic damage, demonstrating that protracted parasite-driven inflammation is sufficient to initiate malignant transformation independently of other risk factors (31, 34, 35). Several in vitro studies provide molecular evidence of the specific signalling pathways, such as MAPK, NF-κB, Cyclin D1, and MCM2, that drive neoplastic transformation. This molecular profile may promote cell cycle progression, DNA replication, and resistance to apoptosis (5254). Moreover, the co-infection context further amplifies the inflammatory cascade. A previous study reviewed the mechanism by which O. viverrini infection interacts with bacterial infection (Helicobacter pylori), thereby increasing the risk of developing CCA (55). P. falciparum promotes the expansion of Epstein-Barr virus (EBV)-infected B-cells, enhances AID-driven DNA damage, and raises the risk of c-MYC translocation, all of which contribute to the development of Burkitt’s lymphoma (56). In addition, this study suggests that parasitic infection could accelerate the development of cancer in the presence of carcinogens. Here we report that early studies on O. viverrini act synergistically with nitrosamine carcinogens, including DMN and NDMA, to induce tumours. NDMA has emerged as a major environmental contaminant, originating from both human activities and natural sources (57, 58). Ten studies published between 1978 and 2008 showed that co-exposure to O. viverrini and nitrosamine carcinogens consistently induced cholangiocarcinoma in animal models, with tumour incidence reaching 100%, whereas exposure to either agent alone was insufficient to produce comparable carcinogenic effects (1821, 2325, 27, 30, 59). This data indicates that parasites might not primarily act as carcinogenic initiators but rather as powerful tumour promoters that enhance the oncogenic potential of pre-existing DNA damage.

The oncological effects of parasitic infection vary and are not predictable. They depend on the parasite species, duration of infection, and the host’s immune response. Persistent Th2 environments tend to promote tumour growth, whilst acute Th1-polarised responses activate anti-tumour immunity (60). A previous review sharpens this picture by concluding that cancer cells mirror helminth survival strategies such as immunoevasion, metabolic adaptation, tissue remodelling, and host manipulation, which partly explains why those responses can be either tumoricidal or tolerogenic (61). This study summarised that the pro-tumour effects were associated with inflammatory and immunoregulatory changes, including increased Th2 responses, macrophage involvement, reduced CD8+ T-cell activity, and remodelling of the tumour microenvironment, as reported with B. hominis, O. viverrini (21), T. canis (46), Anisakis spp (51), and C. parvum (33). Parasite-associated immune environments recruit and activate the same cellular components as those involved in cancer-associated immune remodelling: group 2 innate lymphoid cells (ILC2s), M2-polarised macrophages, eosinophils, and Tregs. During chronic parasitic infection, epithelial cells release IL-33, TSLP, and IL-25, which sustain ILC2 activation and Th2 differentiation, thereby generating a cytokine environment dominated by IL-4, IL-5, and IL-13 (62). This drives M2 macrophage polarisation, marked by arginase-1, CD163, and CD206, and is associated with downstream production of TGF-β, VEGF, and CCL17/CCL22. Within the tumour microenvironment, M2-polarised Tumour-Associated Macrophages (TAMs) facilitate vascular remodelling, extracellular matrix turnover, and suppression of CD8+ T cells through mechanisms nearly identical to the wound-healing programmes parasites exploit for persistence (6365). ILC2-derived IL-13 amplifies M2 phenotype and expands Myeloid-derived suppressor cells (MDSCs); parasite-induced Tregs, acting through IL-10 and TGF-β, further suppress checkpoint responsiveness. Fibroblast activation, collagen deposition, and sustained angiogenesis are shared features of chronic parasitic infection and tumour stroma alike, which explains the resemblance that persistent type 2 environments are permissive for tumour growth (66). However, the prevailing assumption that Th2 immunity promotes tumorigenesis has been challenged. Wagner, Nishikawa, and Koyasu reviewed that Th2 responses can, depending on host and microenvironmental context, actively suppress tumour (60). For instance, IL-5-recruited eosinophils can kill tumour cells directly through major basic protein, eosinophil peroxidase, and granzyme A (67), and their infiltration correlates with favourable prognosis in colorectal cancer (68, 69). Here, we highlighted that antitumour effects were associated with immune activation, immune cell infiltration, and enhanced host resistance, particularly in studies involving T. gondii (22) and T. cruzi (26). Th2 cytokines also promote eosinophil recruitment to tumours (70), and IL-4 deficiency impairs tumour clearance in experimental models (71). ILC2s, as a primary source of tumour-associated IL-4, can support CD8+ cytotoxic function, as demonstrated by IL-4 signalling via STAT6 and mTOR revitalising exhausted CD8+ T cells in the tumour microenvironment (72). This functional plasticity is precisely what underlies the species- and host-dependent paradox described in this review.

In addition, the reported modulation of FoxP3+ regulatory T cells, IL-10, and IL-17 in S. mansoni and T. spiralis models suggests that parasite-driven immune regulation can shift the tumour environment towards either tumour promotion or tumour suppression, depending on the parasite species, cytokine profile, and experimental cancer model. (44). Parasites that induce a chronic environment dominated by IL-10 and TGF-β reinforce tumour immune evasion strategies. In contrast, parasites that are associated with acute or self-limiting infections can promote anti-tumorigenic immune responses (61, 73). In the context of IL-10, for example, our previous study concluded that IL-10 may have a dual role in cancer biology, possibly due to the heterogeneity of CRC, which encompasses subtypes defined by molecular signatures. (74). Interpreting parasite-cancer interactions therefore requires identifying not only which organism is involved but also which type 2 immune modules are active, in which tissue compartment, and at which stage of tumour development.

Parasite-derived molecules may exhibit anti-tumour activity that differs from that observed during natural infection, as isolated parasite products can selectively modulate immune responses without inducing the chronic inflammation or tissue damage associated with live infection. For example, S. japonicum infection can influence macrophage polarisation, shifting from M1 during acute infection to M2 in chronic stages (75). Additionally, schistosome worm antigen (SWA) promotes M1, whereas schistosome soluble egg antigen (SEA) favours M2, depending on the infection stage and the antigen involved (75). However, S. japonicum non-coding RNA, such as miR-3096 and miR-61, shows anti-tumour effects by inhibiting migration (45, 48). Another example is seen in P. falciparum malaria infection, which can activate B cells through PfEMP1/CIDR1α, promoting polyclonal B-cell expansion and increasing the pool of EBV-infected B cells at risk of malignant transformation (76). However, using P. falciparum VAR2CSA induces an anti-tumour effect in Burkitt lymphoma by targeting oncofetal chondroitin sulphate, which is highly expressed in Burkitt lymphoma (40).

Limited studies indicate that parasite-derived molecules can exert biological effects in cancer models beyond the parasite’s original infection niche, supporting their potential as novel therapeutics. For instance, T. spiralis ES L1 in melanoma (36) and T. gondii-derived peptides in colorectal and hepatocellular cancer models (50). This provides preliminary evidence that some parasite-derived products could be explored as potential therapeutic or mechanistic tools in cancer research.

Immunosuppression resulting from infectious diseases, malnutrition, or chemotherapy increases susceptibility to opportunistic parasitic infections (77). Compromised immune function may allow persistent parasitic infections, leading to chronic inflammation, tissue damage, and disrupted immune signalling, which can contribute to cancer development and disease progression. The prevalence of intestinal parasitic infections such as Cryptosporidium spp. and T. trichiura amongst HIV patients is 19.6%, highlighting the importance of regular screening and treatment for intestinal parasitic infections in individuals with HIV/AIDS (78). Moreover, a previous systematic review and meta-analysis found that 28.4% of cancer patients had intestinal parasites, mainly B. hominis and C. parvum (79). Another systematic review found that 19.7% of CRC patients had intestinal parasites such as Cryptosporidium spp. and a much higher risk (OR 3.61) of developing CRC than healthy people (80). Here, a study showed that a low dose of C. parvum oocysts, confirmed by qPCR, induces digestive adenocarcinoma (33). Persistent C. parvum infection promotes an immunosuppressive tumour environment through immunosuppressive cells and pro-inflammatory mediators (49).

Several limitations impact the interpretation of these findings. Most notably, the predominance of dated in vivo studies may reflect the technical challenges of parasite–tumour co-infection models, ethical restrictions, high costs, and host variability. The reviewed research showed significant methodological differences, including the use of various parasite species or products, animal models, cell lines, carcinogens, and endpoints, making direct comparisons difficult. Furthermore, publication bias and the lack of extensive human clinical validation limit the applicability of the results, particularly regarding the therapeutic use of parasite-derived molecules. Humanised mouse models may enhance the translational relevance of in vivo parasite-cancer studies. Future epidemiological research combining parasitological and cancer incidence data could help establish human correlations. Additionally, detailed analysis and recombinant production of parasite proteins may be crucial for developing anti-tumour secretomes.

In conclusion, in vitro and in vivo studies indicate that parasites and parasite-derived proteins can exert protumour and antitumour effects, determined by parasite species, infection chronicity, and host immune context. Chronic infection can promote tumour development by inducing M2 macrophage polarisation, expanding Treg and Th2 cells, and sustaining the signalling of anti-inflammatory cytokines such as IL-10 and TGF-β. In addition, chronic infection leads to desmoplastic stromal remodelling, which supports immune evasion by cancer cells. In contrast, acute infection or infections that are immunologically resolved can activate tumour-killing immune responses. These responses include immune-mediated cytotoxicity, polarisation towards Th1 cells, induction of tumour cell apoptosis, and inhibition of tumour cell migration. Collectively, these findings underscore that the parasite-cancer relationship is governed by the microenvironment. This provides a rationale for investigating parasite-derived molecules as potential therapeutic candidates, although mechanistic precision is required prior to clinical translation.

Acknowledgments

The authors extend their appreciation to Umm Al-Qura University, Saudi Arabia, for funding this research work through grant number: 26UQU4280261GSSR01.

Funding Statement

The author(s) declared that financial support was received for this work and/or its publication. This research work was funded by Umm Al-Qura University, Saudi Arabia under grant number: 26UQU4280261GSSR01.

Footnotes

Edited by: Pritam Sadhukhan, National Institutes of Health (NIH), United States

Reviewed by: Marek Wagner, Łukasiewicz Research Network – PORT Polish Center for Technology Development, Poland

Marco Antonio Hernández-Luna, University of Guanajuato, Mexico

Data availability statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.

Author contributions

FM: Conceptualization, Formal analysis, Investigation, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing, Funding acquisition, Project administration. MA: Data curation, Formal analysis, Investigation, Validation, Project administration, Writing – original draft. HA: Data curation, Methodology, Validation, Writing – review & editing. AD: Data curation, Methodology, Resources, Writing – review & editing, Investigation. BA: Data curation, Methodology, Validation, Writing – review & editing, Investigation. SK: Data curation, Methodology, Validation, Writing – review & editing, Investigation. HG: Formal analysis, Investigation, Validation, Writing – review & editing, Data curation. IA: Investigation, Methodology, Resources, Writing – review & editing, Validation. SA: Methodology, Validation, Writing – review & editing, Investigation. TO: Data curation, Methodology, Writing – review & editing, Investigation, Resources. AZ: Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Writing – original draft, Supervision, Validation.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.


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