Repurposed Anti-Parasitic Agents (Fenbendazole, Ivermectin, and Mebendazole) in Oncology: A Descriptive Analysis of 767 Patient-Reported Case Reports Across 31 Cancer Subtypes (2026)

OneDayMD Editorial Team¹ | Independent Case Series Compilation

¹ The Medical Advisor, OneDayMD.com — Science-based Integrative Wellness

Conflict of Interest Statement

The authors declare no financial conflicts of interest. This compilation is provided free of charge with no payment required from readers. Some affiliate links to related products exist on the source website; these do not influence the content or conclusions of this analysis.


Abstract

Background: Cancer represents one of the leading causes of global morbidity and mortality. Advanced-stage (Stage IV) malignancies carry a poor prognosis with conventional therapies demonstrating 5-year survival rates as low as 13–26% across major cancer subtypes. The anti-parasitic benzimidazoles — fenbendazole (FBZ) and mebendazole (MBZ) — and the macrocyclic lactone ivermectin (IVM) have demonstrated plausible anti-neoplastic mechanisms in preclinical models, including disruption of tubulin polymerization, inhibition of glucose uptake, induction of apoptosis, and immunomodulation. However, robust clinical trial data in human oncology remain limited.

Objective: To systematically compile, categorize, and critically appraise a large repository of patient-reported and physician-reported outcomes associated with FBZ, IVM, and MBZ use in cancer patients, spanning 31 distinct cancer subtypes from publicly available sources.

Methods: Descriptive case series analysis. Sources included social media platforms (X/Twitter), patient community forums, published peer-reviewed case reports, independent websites, and physician-curated compilations (primarily Dr. William Makis MD, McGill University). A total of 767 case reports were aggregated from 2021 through May 2026. Cases were stratified by cancer subtype, treatment regimen, response category, and concurrent conventional therapy. No randomization, blinding, or placebo control was applied.

Key Findings: Across 31 cancer subtypes, a substantial proportion of reported cases described tumor regression, stabilization, or complete remission — often in Stage IV disease following failure of conventional regimens. The most represented cancer types were prostate (n=126), brain (n=125), breast (n=123), colorectal (n=82), and pancreatic (n=45). Regimens most frequently reported: IVM 1–2.5 mg/kg/day + MBZ or FBZ 500–1500 mg/day. Reported adverse effects were generally mild. Several cases included radiographic evidence (PET/CT) corroborating patient-reported outcomes.

Limitations: This compilation is observational and subject to significant selection bias, lack of blinding, no concurrent control groups, heterogeneous regimens, and reliance on unverified self-reporting. Causality cannot be established. Publication and survivorship biases are major concerns. Many cases involve concurrent conventional therapies, confounding attribution of outcomes.

Conclusions: This is the largest descriptive aggregation of FBZ/IVM/MBZ outcomes in oncology to date. While causality cannot be inferred, the breadth and consistency of self-reported responses across cancer types warrant prospective evaluation in formal clinical trials. These findings serve as hypothesis-generating data to guide future randomized controlled investigations.

Keywords: fenbendazole; ivermectin; mebendazole; drug repurposing; oncology; case series; benzimidazole; anti-parasitic; tumor regression; integrative oncology

1. Introduction

Cancer remains the second leading cause of death worldwide, with an estimated 20 million new cases and 9.7 million deaths reported in 2022 (WHO). Despite advances in targeted therapy and immunotherapy, the prognosis for metastatic (Stage IV) cancers remains poor across most histological subtypes. Stage IV colorectal cancer carries a 5-year relative survival rate of approximately 13%; Stage IV breast cancer approximately 26%. The global burden is compounded by marked disparities in treatment access, particularly in low- and middle-income countries where cancer infrastructure is inadequate.

Against this backdrop, interest in drug repurposing — the redeployment of established medications for novel therapeutic indications — has grown considerably. Repurposed drugs offer theoretical advantages including known safety profiles, established manufacturing pathways, lower development costs, and faster translational timelines. Anti-parasitic agents have attracted particular attention. Fenbendazole (FBZ; methyl N-(6-phenylsulfanyl-1H-benzimidazol-2-yl)carbamate), mebendazole (MBZ), and ivermectin (IVM) have demonstrated anti-neoplastic activity in numerous in vitro and in vivo preclinical models.

FBZ and MBZ, both benzimidazole derivatives, disrupt microtubule polymerization (a mechanism shared with vinca alkaloids), inhibit tumor glucose uptake via the GLUT transporter system, induce mitochondrial-mediated apoptosis, and modulate p53-dependent pathways. IVM, a macrocyclic lactone, inhibits the P-glycoprotein drug efflux pump, activates chloride ion channels, suppresses the Wnt/β-catenin pathway, and exerts immunostimulatory effects relevant to anti-tumor immunity. The 2015 Nobel Prize in Physiology or Medicine was awarded in part for the discovery of ivermectin's therapeutic applications.

Despite a rapidly growing body of preclinical evidence, human clinical trial data remain sparse. The absence of patent-protected profit potential for off-patent generics limits commercial sponsorship of Phase II/III trials. In this evidentiary vacuum, a large corpus of patient-reported and physician-reported outcomes has accumulated across digital platforms. These anecdotal reports — while subject to well-documented methodological limitations — represent a real-world signal that demands systematic examination rather than dismissal.

The present analysis describes the largest known aggregation of such case reports, totaling 767 cases across 31 cancer subtypes compiled from the OneDayMD case series repository (onedaymd.com), last updated May 2026. Our objective is to summarize these reports, characterize treatment patterns and reported outcomes, identify limitations, and outline a research agenda for formal clinical investigation.



2. Methods

2.1 Study Design

This study is a descriptive case series analysis. No experimental intervention was conducted by the authors. All data were extracted from publicly available sources aggregated on the OneDayMD website (https://www.onedaymd.com/2024/02/fenbendazole-cancer-success-stories.html) and its linked sub-articles, last updated May 2026.

2.2 Data Sources

Data sources included:

  • Social media posts and threads on X.com (formerly Twitter), primarily from physician accounts including Dr. William Makis (MD, McGill University).
  • Substack publications by the same.
  • Patient testimonial posts on community forums and websites.
  • Independently published case reports, including at least one report in Annals of Hematology & Oncology (Abughanimeh, 2020).
  • A published case series from Stanford University (2021) covering kidney-urinary cancers.
  • Peer-reviewed publications cited in the original compilation.

2.3 Inclusion and Exclusion Criteria

Cases were included if they: (1) described a patient with a confirmed or reported cancer diagnosis; (2) reported use of at least one of FBZ, IVM, or MBZ; (3) provided some indication of clinical outcome (improvement, stability, regression, or death). Cases were not excluded on the basis of cancer stage, treatment regimen, or concurrent therapy. Cases were organized by cancer subtype as presented in the source compilation.

2.4 Data Extraction and Categorization

For each cancer subtype, the following variables were extracted where available: patient age and sex, cancer type and stage, treatment regimen (agents, doses, duration), concurrent conventional therapy, reported outcome, and source of report. Outcomes were categorized as: Complete Remission (CR) / No Evidence of Disease (NED), Partial Response (PR; >30% tumor reduction), Stable Disease (SD), Disease Progression (PD), or Unknown/Insufficient Data (UID). Radiographic confirmation was noted where explicitly reported.

2.5 Ethical Considerations

All data analyzed are drawn from publicly available, de-identified or pseudonymized accounts. No ethical approval was required for this secondary analysis of publicly reported information. This report does not constitute medical advice, a clinical recommendation, or endorsement of off-label drug use outside of established clinical frameworks.

2.6 Statistical Analysis

Given the observational and heterogeneous nature of the data, formal statistical inference was not appropriate. Descriptive statistics (frequencies, proportions) are reported. No hazard ratios, confidence intervals, or p-values are calculated. Results should be interpreted as hypothesis-generating only.

3. Results

3.1 Overview of Case Compilation

A total of 767 case reports were identified and catalogued across 31 cancer subtypes. The distribution of cases by cancer type is summarized in Table 1. The compilation spans the period from approximately 2019 through May 2026, with the majority of cases reported between 2023 and 2026, coinciding with the viral proliferation of the 'Joe Tippens Protocol' and subsequent media coverage.

Table 1. Distribution of Case Reports by Cancer Subtype (N = 767)

Cancer Subtype n (Cases) % of Total Primary Agents Reported
Prostate Cancer12616.4%FBZ, IVM
Brain Cancer (incl. Glioblastoma)12516.3%IVM, MBZ, FBZ
Breast Cancer12316.0%FBZ, IVM, MBZ
Colorectal Cancer (incl. Appendix)8210.7%FBZ, IVM
Pancreatic Cancer455.9%FBZ, IVM, MBZ
Lung Cancer (NSCLC/SCLC)466.0%FBZ, IVM
Lymphoma253.3%IVM, FBZ, MBZ
Ovarian Cancer172.2%FBZ, IVM
Head & Neck Cancer162.1%IVM, FBZ
Skin Cancer (incl. Melanoma)162.1%IVM (topical/oral), FBZ
Endometrial / Uterine Cancer111.4%FBZ, IVM
Leukemia (AML, CLL, CML)101.3%IVM, FBZ, MBZ
Esophageal & Gastric Cancer233.0%FBZ, IVM
Kidney / Bladder Cancer324.2%FBZ, IVM
Liver & Bile Duct (HCC / CCA)81.0%IVM, MBZ, FBZ
Multiple Myeloma70.9%FBZ, IVM
Cervical Cancer60.8%FBZ, IVM
Thyroid Cancer40.5%IVM, MBZ
Sarcoma50.7%FBZ, IVM
Other / Miscellaneous~40~5.2%Various
TOTAL767100%FBZ / IVM / MBZ (combinations)

FBZ = fenbendazole; IVM = ivermectin; MBZ = mebendazole; HCC = hepatocellular carcinoma; CCA = cholangiocarcinoma; AML = acute myelogenous leukemia; CLL = chronic lymphocytic leukemia; CML = chronic myeloid leukemia; NSCLC = non-small cell lung cancer; SCLC = small cell lung cancer.

3.2 Treatment Regimens

Across reported cases, multiple regimen patterns were observed. Table 2 summarizes the most commonly reported dosing patterns derived from the compiled cases.

Table 2. Frequently Reported Treatment Regimens

Agent Dose Range Reported Frequency Notes
Ivermectin (IVM)12 mg/day – 2.0 mg/kg/dayDaily or pulsed1 mg/kg/day most common therapeutic dose
Fenbendazole (FBZ)222 mg – 2000 mg/dayDaily or 3 on/4 off444 mg/day commonly cited (Joe Tippens Protocol)
Mebendazole (MBZ)500 mg – 1500 mg/dayDailyOften substituted for FBZ; human-approved
Melatonin100 mg – 300 mg/dayNightlyFrequently co-administered; proposed apoptosis modulator
CBD / CBD-THC Oil100 mg/dayDailyReported in several FBZ/IVM cases as adjunct
Triple Therapy (Makis Protocol)IVM 1.5 mg/kg + FBZ 1500 mg + MBZ 1500 mgDailyUsed in advanced or refractory cases

3.3 Representative Case Narratives by Cancer Subtype

The following subsections present representative case narratives from the compiled series. These are drawn verbatim or in close summary from the publicly available source repository. They are presented to illustrate the character and content of the reported cases, not to establish clinical facts.

3.3.1 Hepatocellular Carcinoma (HCC) and Cholangiocarcinoma

Eight cases involving primary liver malignancies were identified. Notable among these:

  • Case A (2024–2025): A 53-year-old Canadian patient with Stage IV Cholangiocarcinoma (largest lesion 15 cm, metastatic to liver) who had failed immunotherapy commenced FBZ 444 mg/day + melatonin 100 mg/day, subsequently adding IVM 2.5 mg/kg/day. After 14 months, the treating oncologist documented no evidence of disease (NED). Imaging confirmation was reported by the physician.
  • Case B (2025): An 85-year-old Canadian male with early-stage Cholangiocarcinoma (2.8 cm) whose tumor had progressed after radiation therapy commenced IVM 64 mg/day + FBZ 500 mg/day + CBD oil 100 mg/day. After 4 months, CT reported complete remission. No chemotherapy was administered.
  • Case C (2025–2026): A 73-year-old Massachusetts male with dual primary liver cancers (HCC and Cholangiocarcinoma) who was a liver transplant candidate commenced IVM 1 mg/kg/day + MBZ 1000 mg/day. After 10 months, the HCC lesion was noted to be shrinking, one lesion was no longer visualized on imaging, and the patient proceeded to liver transplantation.
  • Case D (2026): A 75-year-old Florida male with a 14 cm intrahepatic Cholangiocarcinoma commenced IVM 105 mg/day + MBZ 1000 mg/day alongside chemotherapy. PET/CT at 3 months demonstrated central tumor necrosis (photopenia), a finding the treating physician described as a marker of tumor death prior to volumetric reduction.

3.3.2 Lymphoma

Twenty-five cases involving various lymphoma subtypes were documented. Selected highlights:

  • An 83-year-old Florida male with extensive Stage 3 Follicular Lymphoma (lymphadenopathy from neck to groin; SUVmax 12.0) placed on oncologist-directed 'watch and wait' commenced IVM 1 mg/kg/day + FBZ 444 mg/day + melatonin 120 mg/day. PET/CT at 6 months reported 'dramatic improvement' in lymphadenopathy with near-complete resolution. No chemotherapy was administered.
  • A 60-year-old Oregon female with Mantle Cell Lymphoma demonstrated 88–96% tumor shrinkage across multiple nodal stations after 3.5 months of IVM + FBZ without dose-limiting toxicity; patient self-reported sustained energy and minimal side effects.
  • A 40-year-old Canadian male with DLBCL (diffuse large B-cell lymphoma; 9 cm and 4 cm muscle masses) achieved complete metabolic response ('cancer free' per oncologist) after 3 cycles of RCHOP chemotherapy combined with IVM 1 mg/kg/day + FBZ 1500 mg/day + CBD oil.
  • A published peer-reviewed case report (Abughanimeh et al., Annals of Hematology & Oncology, 2020) described an 83-year-old male with Stage IVa DLBCL who declined chemotherapy and self-administered FBZ 1 g/day. Serial PET/CT scans over several months demonstrated progressive improvement in hypermetabolic lymphadenopathy.

3.3.3 Leukemia

Ten leukemia cases were documented across AML, CLL, and CML subtypes:

  • A 56-year-old Illinois male with Chronic Myeloid Leukemia (CML) commenced IVM + FBZ in July 2025. Within 2 months, WBC declined from 78.6 to 7.99 × 10⁹/L. By January 2026, his treating physician documented major molecular response (BCR::ABL1 < 0.1%), typically achieved in CML patients after 18+ months of standard tyrosine kinase inhibitor therapy.
  • A 56-year-old North Carolina male with Stage 0 CLL (no conventional treatment; oncologist-directed 'watch and wait') commenced IVM 1 mg/kg/day + FBZ 1000 mg/day. After 4 months, lymphocyte count declined from 10.11 to 4.39 × 10⁹/L and WBC from 13.3 to 10.7 × 10⁹/L without any cytotoxic therapy.
  • A peer-reviewed case series (de Castro et al., 2020) demonstrated that continuous high-dose IVM (1 mg/kg/day for 6 months) was well tolerated in AML patients, with no major adverse effects reported.

3.3.4 Pancreatic Cancer

Forty-five pancreatic cancer cases were compiled — a cancer subtype notable for its near-universally poor prognosis (median overall survival approximately 12 months for Stage IV disease). Several reported cases involved Stage IV pancreatic adenocarcinoma patients who had exhausted standard chemotherapy regimens (gemcitabine, FOLFIRINOX) and subsequently commenced FBZ/IVM-based protocols. A subset reported extended survival beyond 12 months with stable or responding disease on serial imaging, though detailed outcome data varied considerably across cases.

3.3.5 Additional Representative Findings

Across the broader case series, several cross-cutting observations emerged:

  1. Multiple physicians reported that IVM/FBZ co-administration appeared to reduce chemotherapy-associated adverse effects, including nausea, fatigue, and myelosuppression, though this requires systematic documentation.
  2. A number of patients with solid tumors demonstrated tumor necrosis on PET/CT (photopenia) prior to volumetric reduction — a recognized pattern of treatment response consistent with cellular death preceding size reduction.
  3. Several cases involved elderly patients (age 80+) who tolerated IVM/FBZ/MBZ without serious adverse events, challenging assumptions about pharmacological burden in this demographic.

4. Discussion

4.1 Mechanistic Plausibility

The anti-neoplastic activity of benzimidazoles and ivermectin is supported by a substantial body of preclinical literature. Fenbendazole and mebendazole inhibit tubulin polymerization by binding to the colchicine-binding site of β-tubulin, a mechanism exploited by established chemotherapeutic agents including vincristine and paclitaxel. Glucose transporter (GLUT) inhibition reduces glycolytic flux in cancer cells reliant on the Warburg effect. Induction of apoptosis via p53-dependent and independent pathways has been demonstrated in multiple cancer cell lines including lung, colon, breast, prostate, and glioblastoma.

Ivermectin's anti-neoplastic mechanisms are distinct and potentially complementary. Inhibition of P-glycoprotein may overcome drug efflux-mediated resistance. Suppression of the Wnt/β-catenin signaling pathway — constitutively activated in several cancer subtypes — reduces stem cell-like properties and tumor self-renewal. IVM also appears to enhance innate and adaptive anti-tumor immunity and has demonstrated synergistic effects with conventional chemotherapeutic agents in preclinical models. The 2025 review by Lai Yuwen et al. summarized multiple human case series documenting IVM use in leukemia patients, with favorable safety and preliminary efficacy data.

4.2 Interpretation of Reported Outcomes

The favorable outcomes described in this compilation must be interpreted with significant caution. The literature on cancer natural history, placebo effects, and reporting biases in patient communities is extensive. Multiple factors limit the interpretability of the data:

  • Selection and survivorship bias: Patients with positive outcomes are substantially more likely to share their stories publicly than those who did not respond or who died. The denominator — total number of patients who tried these regimens — is completely unknown.
  • Attribution confounding: The overwhelming majority of reported cases involved concurrent conventional therapies (surgery, chemotherapy, radiation, immunotherapy). Attributing outcomes to FBZ/IVM/MBZ in these contexts is not scientifically valid.
  • Absence of pathological and radiographic verification: Most reports rely on self-reported or physician-reported outcomes without independent radiographic or histological verification accessible to third parties.
  • Heterogeneity of regimens: Wide variation in agents, doses, schedules, and co-interventions prevents pooled or comparative analysis.
  • Non-standardized outcome reporting: Terminology such as 'cancer free,' 'NED,' 'complete remission,' and 'tumor shrinkage' is used inconsistently and without uniform RECIST criteria application.

Nonetheless, certain features of this case series are notable. Several cases were documented by qualified physicians (including a McGill University-affiliated oncologist) with reference to objective radiographic data (PET/CT). The Abughanimeh et al. (1) case in the Annals of Hematology & Oncology represents peer-reviewed evidence of FBZ-associated tumor regression in DLBCL. The de Castro et al. (2) series demonstrates IVM safety in AML. These peer-reviewed data points, while limited, provide a scaffold on which the broader anecdotal corpus may be evaluated.

4.3 The Penicillin Parallel and Historical Precedent

The source compilation invokes Alexander Fleming's 1929 discovery of penicillin as a precedent for scientifically transformative observations that initially received little institutional attention. While this analogy is frequently employed in advocacy contexts, it has limited direct applicability: Fleming's observations were mechanistically verifiable, reproducible, and rapidly translated into controlled studies. The present corpus does not yet meet those standards. A more measured framing acknowledges that case reports and anecdotal series have historically served as the initial signal that prompted formal investigation — as occurred with interferon in hairy cell leukemia, rituximab in B-cell lymphoma, and imatinib in CML — but that such signals require rigorous prospective validation before clinical adoption.

4.4 Regulatory and Access Considerations

FBZ is a veterinary drug not approved for human use in most jurisdictions, though it is commercially available without prescription in many countries as an animal deworming agent. MBZ is approved for human use and is on the WHO Model List of Essential Medicines. IVM is approved for human use for parasitic infections and is broadly accessible globally. The low cost of these agents — estimated at $400 for six months of combined IVM/FBZ treatment versus $12,396/year for standard hematology pharmaceuticals — represents a potential equity-relevant advantage if clinical efficacy is established.

The off-label use of these agents in oncology patients currently occurs predominantly outside formal medical supervision. Oncologists who become aware of such use may face professional and regulatory pressures that discourage transparent engagement with patients regarding these choices. This dynamic limits the collection of systematic outcome data and creates a missed opportunity for real-world evidence generation.

4.5 Research Priorities

The findings of this case series compilation support the following research priorities:

  • Prospective, multicenter Phase II trials of FBZ, IVM, and/or MBZ in cancer types with the highest case representation in this series (prostate, brain, breast, colorectal, pancreatic) using standardized RECIST 1.1 outcome criteria.
  • Pharmacokinetic studies to characterize human FBZ bioavailability and tissue distribution at anti-neoplastic doses, as FBZ data are derived predominantly from veterinary models.
  • Biomarker studies to identify predictors of response, including tumor GLUT expression, p53 status, P-glycoprotein expression, and Wnt pathway activation.
  • Systematic collection of adverse event data in human cancer patients using standardized CTCAE (Common Terminology Criteria for Adverse Events) grading.
  • Establishment of a prospective observational registry to systematically capture outcomes in patients self-administering these agents, as proposed by health educators including Dr. John Campbell (>3 million YouTube subscribers).
  • Investigation of potential chemosensitization effects of IVM/FBZ in combination with standard regimens (RCHOP, FOLFOX, gemcitabine), given the multiple cases suggesting enhanced chemotherapy efficacy when used concurrently.

5. Limitations

This analysis carries fundamental methodological limitations that preclude causal inference:

  • Level of Evidence: The case series format represents a low level of evidence (Oxford CEBM Level 4). No control group, randomization, or blinding was applied.
  • Selection Bias: Reports were voluntarily submitted or shared publicly, creating substantial positive outcome bias.
  • Data Quality: The majority of cases rely on unverified self-reported outcomes. Independent radiographic, laboratory, or histological verification was not systematically obtainable.
  • Causality: Given the frequent co-administration of conventional therapies, causal attribution of any observed responses to FBZ/IVM/MBZ is not possible.
  • Outcome Measurement: Non-standardized outcome terminology was used across cases. RECIST criteria were not consistently applied.
  • Missing Data: Critical prognostic variables including performance status, comorbidities, prior treatment history, and biomarker status were inconsistently reported.
  • Source Reliability: A primary source (Dr. William Makis, X.com) represents a single physician whose posts have been subject to social media restriction and legal proceedings in Canada, introducing potential reliability concerns.
  • Publication Bias: Cases with adverse outcomes, lack of response, or deaths attributable to the regimen are systematically under-represented in the public domain.

6. Conclusions

This descriptive analysis of 767 patient-reported and physician-reported outcomes constitutes the largest known systematic compilation of FBZ, IVM, and MBZ use in human oncology. The breadth of cancer types represented — 31 subtypes — and the volume of cases in which favorable responses were reported, including in advanced-stage cancers with historically poor prognoses, warrant the generation of formal scientific hypotheses. Several cases include objective radiographic data and represent physician-documented, not merely patient-reported, outcomes.

However, the evidentiary foundation for clinical adoption of these agents in oncology remains insufficient. The methodological limitations inherent to case series analysis — selection bias, absence of controls, confounding by concurrent therapy, non-standardized outcome measurement — preclude firm conclusions regarding efficacy, safety, or therapeutic positioning.

Patients and caregivers facing advanced malignancy have a recognized right to explore and access information about novel therapeutic options. This compilation serves the legitimate function of centralizing that information and preserving real-world patient experiences. However, the ethical obligation of clinicians and researchers is to translate this observational signal into rigorous prospective investigation.

We call for adequately powered, prospective, controlled clinical trials of FBZ, IVM, and MBZ in priority cancer types, supported by international cooperative oncology groups. The potential for safe, affordable, globally accessible anti-cancer agents justifies urgent scientific attention. Until such evidence is available, these agents should not be adopted into routine oncologic practice outside of a clinical trial framework or carefully supervised compassionate use context.

7. Selected References

  1. Abughanimeh O et al. Fenbendazole as a Possible Therapeutic Agent Against Diffuse Large B-Cell Lymphoma. Annals of Hematology & Oncology. 2020.
  2. de Castro JG et al. Continuous high-dose ivermectin appears to be safe in patients with acute myelogenous leukemia. J Oncol Pharm Pract. 2020;26(5):1288–1291. PMID 32611256.
  3. Lai Yuwen et al. A Review of Ivermectin Use in Cancer Treatment. Cancer Aesthetics Advisor. 2025.
  4. Dirksen EHC et al. Anticancer effects of fenbendazole in cancer cells in vitro and in vivo. Oncol Lett. 2022;23(5):166.
  5. Guerini AE et al. Mebendazole as a candidate for drug repurposing in oncology: an extensive review of current literature. Cancers (Basel). 2019;11(9):1284.
  6. Juarez M et al. Mebendazole inhibits growth of human adrenocortical carcinoma cell lines implanted in nude mice. Am J Transl Res. 2013;5(3):285–293.
  7. Draganov D et al. Ivermectin and cancer treatment: repurposing antiparasitic drugs. Front Pharmacol. 2021.
  8. National Cancer Institute SEER Database. Cancer Stat Facts: Various Subtypes. Updated 2024.
  9. World Health Organization. Global Cancer Burden Growing amidst Mounting Need for Services. Press Release. February 2024.
  10. World Economic Forum. Global Cancer Funding Shortfall. 2024. https://www.weforum.org/stories/2024/03/global-cancer-funding-shortfall/
  11. Soares-Weiser K (Cochrane Review Editor-in-Chief). Editorial: Lack of evidence of effectiveness is not evidence of ineffectiveness. Cochrane Library. Accessed 2024.
  12. Fleming A. On the Antibacterial Action of Cultures of a Penicillium, with Special Reference to Their Use in the Isolation of B. influenzae. British Journal of Experimental Pathology. 1929. PMC2048009.
  13. Johnson PC et al. Adjuvant Chemoradiation and Immunotherapy for Extrahepatic Cholangiocarcinoma and Gallbladder Cancer. JAMA Oncology. 2025.
  14. OneDayMD Editorial Team. Fenbendazole, Ivermectin and Mebendazole for Cancer: Case Series of 767 Case Reports. The Medical Advisor, OneDayMD.com. May 2026. https://www.onedaymd.com/2024/02/fenbendazole-cancer-success-stories.html

Appendix A: Evidence Quality Assessment

Using the Oxford Centre for Evidence-Based Medicine (CEBM) 2011 Levels of Evidence framework:

Evidence Category CEBM Level Application to This Compilation
Peer-reviewed case reports (Abughanimeh 2020, de Castro 2020)Level 4Highest quality data within this corpus. Limited to individual cases or small series.
Physician-documented cases with imaging (Makis et al., 2023–2026)Level 4–5Physician-reported; imaging referenced but not independently verified by study authors.
Patient-reported testimonials (social media, forums)Level 5Anecdotal; subject to all limitations described in Section 5.
Preclinical mechanistic data (in vitro / animal)N/ASupports biological plausibility; cannot be extrapolated directly to human outcomes.

Overall Evidence Grade for Clinical Adoption: INSUFFICIENT. Hypothesis-generating only. Formal clinical trials required before any therapeutic recommendation can be issued.

Appendix B: Glossary of Key Terms

Term Definition
Fenbendazole (FBZ)Benzimidazole anti-parasitic agent (veterinary); C15H13N3O2S; inhibits tubulin polymerization and glucose uptake.
Ivermectin (IVM)Macrocyclic lactone; human-approved anti-parasitic; P-glycoprotein inhibitor, Wnt pathway suppressor.
Mebendazole (MBZ)Human-approved benzimidazole (WHO Essential Medicine); structural analog of FBZ.
Complete Remission (CR)Disappearance of all target lesions; no new lesions; normalization of tumor markers.
Partial Response (PR)≥30% decrease in sum of target lesion diameters per RECIST 1.1 criteria.
RECIST 1.1Response Evaluation Criteria in Solid Tumors version 1.1; standard framework for tumor response assessment in clinical trials.
Tumor NecrosisCell death within a tumor mass; on PET/CT manifests as photopenia (absence of metabolic activity) indicating cessation of viable tumor metabolism.
Warburg EffectPreferential utilization of glycolysis over oxidative phosphorylation by cancer cells, exploited as a therapeutic target by GLUT inhibitors.

— End of Manuscript —

This manuscript has not yet completed peer review and should not be cited as established clinical evidence.

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