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Updated: May 15, 2026

Using Human Differentially Expressed Gene Lists to Perform Downstream Pathway Enrichment Analysis and Target Prioritization
Published on: October 3, 2025
Other signalization targets
1Department of Respiratory Medicine, Louis Pradel Hospital, Hospices Civils de Lyon, Lyon, France. nicolas.girard@chu-lyon.fr
Abstract:
Treatment decisions for patients with lung cancer have historically been based upon tumor morphological analysis. Over the past decade, some molecular alterations have been identified as being necessary and sufficient to drive tumor carcinogenesis. These "driver" mutations occur in genes that encode signaling proteins critical for cellular proliferation and survival. Epidermal growth factor (EGF) receptor (EGFR) mutations are the best illustration of the therapeutic relevance of identifying such molecular clusters of lung cancer based on driver genetic alterations that predict the efficacy of specific tyrosine kinase inhibitors, a strategy referred to as "personalized medicine." Besides EGFR and ALK, other genes harboring driver molecular alterations have been identified as part of integrated genomic studies of lung cancers. The objectives of this review are (1) to provide the reader with preclinical and clinical data on these new oncogenic mutations, focusing on druggable ones; (2) to discuss the dynamic nature of lung cancer molecular features in the context of acquired resistance to specific inhibitors; and (3) to highlight emerging data on other cancer hallmarks that may be of interest from a therapeutic perspective in the next future. From bench to bedside, personalized medicine represents a major revolution in the treatment of lung cancer.
Insights
Personalized medicine revolutionizes lung cancer treatment by targeting specific molecular alterations. Identifying driver mutations like EGFR and ALK predicts response to tyrosine kinase inhibitors.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Lung cancer treatment historically relied on morphology.
- Molecular alterations, or driver mutations, are key to carcinogenesis.
- Driver mutations in genes like EGFR and ALK are crucial for targeted therapies.
Purpose of the Study:
- Review preclinical and clinical data on new oncogenic mutations.
- Focus on druggable mutations and acquired resistance.
- Highlight emerging therapeutic targets in lung cancer.
Main Methods:
- Integrated genomic studies of lung cancers.
- Analysis of preclinical and clinical data.
- Review of acquired resistance mechanisms.
Main Results:
- EGFR and ALK mutations predict efficacy of tyrosine kinase inhibitors.
- Personalized medicine based on genetic alterations is effective.
- Understanding molecular features aids in overcoming resistance.
Conclusions:
- Personalized medicine represents a major advancement in lung cancer treatment.
- Targeting specific molecular alterations offers improved patient outcomes.
- Ongoing research into new mutations and resistance mechanisms is vital.
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