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Lung Cancer Subtyping: A Short Review
Farzana Siddique1, Mohamed Shehata1, Mohammed Ghazal2
1Department of Bioengineering, University of Louisville, Louisville, KY 40292, USA.
Cancers
|August 10, 2024
Summary
Omics techniques like transcriptomics, proteomics, and metabolomics show promise for improving lung cancer subtyping. These methods offer a less invasive and economical approach to aid clinicians in diagnosis.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- Lung cancer is the leading cause of cancer diagnosis and mortality globally.
- Accurate histological subtyping is crucial for effective personalized targeted therapies.
- Current gold standard, tissue biopsy, has limitations necessitating advanced diagnostic tools.
Purpose of the Study:
- To review studies from the past decade on omics techniques (transcriptomics, proteomics, metabolomics) and immunohistochemistry for lung cancer subtyping.
- To detail the application of these adjunctive techniques specifically within the context of lung cancer subtyping.
- To compare findings and address discrepancies among studies evaluating individual techniques and markers.
Main Methods:
- Systematic review of 47 studies published in the last decade.
- Focus on transcriptomics, proteomics, metabolomics, and immunohistochemistry.
- Analysis of techniques applied to lung cancer histological subtyping.
Main Results:
- Promising evidence supports the utility of omics methods as adjuncts for lung cancer subtyping.
- Immunohistochemistry is an established diagnostic adjunct.
- Omics techniques demonstrate potential for economical and less invasive diagnostic support.
Conclusions:
- Omics techniques show significant potential to enhance the accuracy and efficiency of lung cancer subtyping.
- These methods can guide clinical practice by providing less invasive and cost-effective diagnostic adjuncts.
- Further integration of omics into diagnostic workflows could improve patient outcomes.
