Lung Cancer: Advances in Diagnosis and Treatment

A special issue of Biomedicines (ISSN 2227-9059). This special issue belongs to the section "Cancer Biology and Oncology".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 74

Editor


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Guest Editor
Division of Medical Oncology, Department of Medicine, University of Colorado Anschutz, Medical Campus, Aurora, CO 80045, USA
Interests: lung cancer precision diagnostics; multiomics; organoids; combination therapy

Special Issue Information

Dear Colleagues,

Lung cancer (LC) is the leading cause of cancer-related mortality. With advances in genomic sequencing, molecular diagnostics are used to identify LC molecular subtypes (e.g., EGFR mutations, ALK fusions, etc.) and develop molecularly guided therapies. More advanced diagnostics include identifying co-mutations and tumor microenvironment (TME) biomarkers beyond PDL1 levels and validating treatment responses using tissue and liquid biopsies. Molecularly guided LC therapies are initially effective; however, many patients eventually develop drug resistance, due to multiple mechanisms including on-target mutations, molecular by-pass, phenotypic plasticity and resistance due to the effects of the TME. These resistance mechanisms vary among patients and reflect various tumor cell states selecting for existing or evolved drug-resistant persister cells.

The current issue covers various strategies used to overcome drug resistance, including (1) comprehensive molecular profiling using multiomics data collected from both tumor and host samples; (2) advanced preclinical LC models that reflect intra- and inter-tumoral heterogeneity, including complex organoids incorporating immune cells, vasculature, nerve cells and drug metabolic sensors, and humanized mouse models to test and validate immunotherapies; (3) machine-learning (ML) models integrating multimodal omics of longitudinal molecular, imaging, pathological and clinical data for assessing responses to biomolecules; and (4) biomarker panels that accurately predict responses of broader panels of biomolecules, both as monotherapy or in combinations, along with limiting biomolecule exposure doses and managing unforeseen toxicities. The application of these strategies could revolutionize LC management by creating integrated system-level approaches and generating a feasible path for precision-medicine-guided impacts on LC patient care and personalized therapy.

Dr. Hatim E. Sabaawy
Guest Editor

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Keywords

  • lung cancer
  • precision diagnostics
  • multiomics
  • organoids
  • humanized models
  • combination therapy
  • precision medicine
  • personalized therapy

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