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Asia-Pacific journal of clinical oncology

October 22, 2026 · via Europe PMC

Emerging Roles of Gold Nanoparticles in Lung Cancer Diagnosis and Imaging: A Promising yet Underexplored Frontier.

Sharma S, Chadha VD.

ReviewAbstract only — full text under license

AI summary — for doctors, generated from the abstract only

Gold nanoparticles could improve lung cancer diagnosis and imaging, but no gold nanoformulation is yet available for diagnostic use.

What was studied

Narrative review of how functionalized gold nanoparticles might act as contrast agents to improve early detection and distinguish malignant from inflammatory lesions in lung cancer.

Key findings

  • Many lung cancers (57%) are detected after metastasis
  • Conventional imaging and PET/SPECT struggle to separate inflammatory from malignant lesions
  • Gold nanoparticles tagged with lung cancer biomarkers may raise specificity
  • No gold nanoformulation exists for diagnosis to date

Clinical relevance

A better way to separate cancer from inflammation on imaging would reduce missed and false diagnoses.

Who should care

Medical Oncology

Limitations

A conceptual narrative review without quantitative data or clinical validation.

Nothing to change now; this is a technology to watch.

This is an AI-generated summary of the published abstract, not a clinical recommendation. It may not reflect the full text or subsequent updates — verify against the original source before acting on it.

Abstract

Cancer is known to be a major cause of death worldwide, with lung cancer responsible for the maximum number of deaths. There is an urgent need for early and effective diagnosis of lung cancer to improve the overall survival rate, which is extremely low to date. Studies have shown that 57% of lung cancers are detected only after metastasis of the tumor. Economic restraints in hospitals are resulting in decreased early diagnosis of lung cancer and an increase in aggressive, incurable grades. Traditional imaging modalities like ultrasound, x-ray, CT, and MRI scans are often unable to precisely locate the extent of metastasis of lung cancer, paving the way for better, more sophisticated diagnostic tools. Nuclear medicine techniques help in better understanding of the metabolic extent of cancer cells using radioactive isotopes. PET/SPECT scans help provide more precise grading and better understanding of tumor morphology. However, the lack of distinction between inflammatory and malignant lesions remains a diagnostic challenge. Gold nanoparticles (GNPs) have been studied as effective contrast agents, enhancing the diagnostic efficiency of lung cancer. Formulation and tagging of GNPs have improved efficacy and biodistribution of cancer drugs; however, no such gold nanoformulation is available for diagnosis to date. The use of different shapes of GNPs functionalized with specific lung cancer biomarkers can potentially increase the specificity of lung tumor diagnosis. In this review, we address the lacunae and provide a strategic roadmap for the effective development of GNP-based diagnostics, from benchtop to high-fidelity biomaterials with clinical applications for efficient lung cancer management.

DOI

10.1111/ajco.70215

PMID

42908350

Research metadata (titles, abstracts, authors, publication dates) is sourced from Europe PMC, which aggregates content from PubMed/MEDLINE, PubMed Central, and other providers under the U.S. National Library of Medicine (NLM/NCBI). NLM does not claim copyright on abstracts; the original journal publishers or authors may hold rights to the full articles. AI-generated summaries are derived only from the abstract, never the full text, and are always labeled as AI-generated.

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