Identification of Compounds With Potential Dual Inhibitory Activity Against Drug Efflux Pumps in Resistant Cancer Cells and Bacteria: Protocol for a Systematic Review
Bibliographic record
Abstract
BACKGROUND: Drug efflux mediated by transporter proteins is one of the major mechanisms conferring multidrug resistance (MDR) to antimicrobial agents in bacteria and to chemotherapeutics in cancer cells. Therefore, the development or identification of efflux modulators represents a promising strategy to overcome the resistant phenotype. Various chemical compounds have been tested in experimental studies as reversal agents either in combination with antimicrobial or anticancer drugs and have shown sensitizing activity in resistant bacteria or cancer cell lines. Owing to the common resistance mechanisms exhibited by bacteria and cancer cells, the identification of chemical agents with dual reversal activity offers a strategy to simultaneously combat antibacterial and cancer multidrug resistance. OBJECTIVE: This study aims to conduct a systematic review to identify compounds that have shown activity in reversing antibacterial as well as cancer MDR mediated by drug efflux pumps and to summarize their structural and biological parameters responsible for the interactions with drug efflux pumps. METHODS: The protocol has been developed in accordance with PRISMA-P (Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols) guidelines. We searched PubMed and Scopus databases for abstracts of full-text peer-reviewed journal papers in English language published between January 2012 and September 2024. Only studies from in vitro experiments were considered if they used methods to detect changes in antibiotic sensitivity of resistant bacteria and chemosensitivity of resistant cancer cells upon treatment with efflux pump inhibitors. A total of 763 unique records were identified. Of them, 246 were selected for full-text review based on the eligibility criteria. Abstract screening was performed by 2 independent reviewers. As of March 1, 2025, the systematic review is at the stage of completed abstract screening. The next steps of the full-text review, study selection, data extraction, and risk of bias assessment will be performed by 2 independent reviewers as well. Main data elements will include a structural identifier of the tested inhibitor, bacterial strain, cancer cell line, methods proving reversal activity, half maximal inhibitory concentration, and other relevant quantitative estimates of reversal activity. Data synthesis will be performed as a narrative summary and the content will be curated in tabular and graphical form. RESULTS: We anticipate that results from this study will outline the potential of various compounds to act as dual chemosensitizers and reverse both antimicrobial and cancer MDR. CONCLUSIONS: Our review will highlight the overlap between efflux pumps' inhibition as a strategy to combat MDR in both bacterial and cancer cells and it will provide structured data for rational drug design of dual efflux pump inhibitors. TRIAL REGISTRATION: PROSPERO CRD42024548350; https://www.crd.york.ac.uk/PROSPERO/view/CRD42024548350. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/66197.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.042 | 0.067 |
| Meta-epidemiology (narrow) | 0.006 | 0.004 |
| Meta-epidemiology (broad) | 0.019 | 0.018 |
| Bibliometrics | 0.017 | 0.017 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.061 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".