Evidence mapPaperPMID 41521160Full record

ReviewCancer medicine2026

Theranostic Nanoparticles in Prostate Cancer: Disrupting Hypoxia-Induced Glycolysis by Targeting Hypoxia-Inducible Factor-1 Alpha and Downstream Metabolites.

Daniel Ejim Uti, Wilson Achu Omang, Esther Ugo Alum, Inalegwu Bawa, Okechukwu Paul-Chima Ugwu, Ayodeji Oluwafemi Idowu, Item Justin Atangwho, Godwin Eneji Egbung

Abstract readReview
In one paragraph

Review in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Daniel Ejim UtiDepartment of Biochemistry, Research and Publications, Kampala International University, Kampala, Uganda.ORCID https://orcid.org/0000-0002-1129-1785
Wilson Achu OmangDepartment of Medical Laboratory Sciences, College of Health Technology, Calabar, Nigeria.
Esther Ugo AlumDepartment of Biochemistry, Research and Publications, Kampala International University, Kampala, Uganda.
Inalegwu BawaDepartment of Biochemistry, Faculty of Basic Medical Sciences, College of Medicine, Federal University of Health Sciences, Otukpo, Benue State, Nigeria.
Okechukwu Paul-Chima UgwuDepartment of Biochemistry, Research and Publications, Kampala International University, Kampala, Uganda.
Ayodeji Oluwafemi IdowuDepartment of Environmental Sciences, National Open University of Nigeria, Abuja, Nigeria.
Item Justin AtangwhoFaculty of Basic Medical Sciences, Department of Biochemistry, University of Calabar, Calabar, Nigeria.
Godwin Eneji EgbungFaculty of Basic Medical Sciences, Department of Biochemistry, University of Calabar, Calabar, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProstate cancer (PCa) is a major cause of cancer-associated death in men. A crucial factor in its development and treatment resistance is tumor hypoxia, which drives metabolic reprogramming (especially reconfiguration towards glycolysis), mediated to a great extent by hypoxia-inducible factor-"HIF-1 alpha" (HIF-1a).

aimsThe present review summarizes (i) the mechanisms underlying hypoxia-induced glycolysis that enhances the aggressiveness of and treatment failure in PCa and (ii) recent developments in the field of theranostic nanoparticles (TNPs) with dual actions of inhibiting HIF-1a and downstream metabolic targets, while facilitating the imaging and treatment of the tumor. MATERIALS AND

methodsWe summarize available evidence for the hypoxia-glycolysis signaling in PCa and assess nanotechnology achievable theranostic approaches (i.e., liposomal-, polymer- and metallic nanoplatforms) to promote drug delivery, real-time tumor picture and modulation of hypoxic tumor microenvironments.

resultsHypoxia-inducible factor-1 alpha (HIF-1a) driven hypoxia is a common phenotypic feature that underlies the increased glycolysis and aggressive tumor phenotype. TNPs have been developed with the aim of (a) enhancing the drug bioavailability, (b) enabling the selectivity of tumor and imaging, and (c) reducing the hypoxia-linked metabolic pathways. The use of PCa as a model for TNP development is especially timely as hypoxia crosses the intersection of androgen receptor (AR) signaling heavens (hormone therapy resistance) leading to progression to castration-resistant PCa (CRPC) and as the Prostate-Specific Membrane Antigen (PSMA) is greatly overexpressed and is a validated target for custom imaging and treatment. DISCUSSION: Compared with other hypoxia mediated solid tumors, hypoxia AR axis and PSMA overexpression have unique biological leverage for precision theranostics in PCa. Nevertheless, translation is limited by the issues of biocompatibility, complexities resulting from systematic regulations and constraints of scale-up manufacturing.

conclusionTNPs are a promising platform to integrate diagnosis and treatment of PCa as they incorporate features of targeted delivery, on-line monitoring and interference with HIF-1a regulated glycolysis. Future advances will require interdisciplinary optimization, development of better tumor-targeting approaches, and artificial intelligence guided nanoparticle design to facilitate clinical scale up and regulation of technically and clinically acceptable theranostics of nanomedicines for PCa.

Indexed as

Hypoxia-Inducible Factor 1, alpha SubunitNanoparticlesProstatic NeoplasmsTheranostic NanomedicineAnimalsGlycolysisHumansMaleMetabolic ReprogrammingSignal TransductionTumor MicroenvironmentHIF1A protein, humanHypoxia-Inducible Factor 1, alpha SubunitglycolysisHIF‐1αhypoxiametabolic reprogrammingprostate cancertheranostic nanoparticlestumor microenvironment

Identifiers

PMID41521160
PMCPMC12790959

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.