Integration of pan-omics technologies and three-dimensional in vitro tumor models: an approach toward drug discovery...

Area of Science:

• Oncology and Molecular Biology
• Biotechnology and Bioinformatics

Background:

• Cancer remains a leading global cause of death despite treatment advances.
• There is a critical need for novel, personalized therapeutic targets and effective screening technologies.
• Pan-omics technologies (genomics, transcriptomics, proteomics, metabolomics, lipidomics) have enhanced molecular understanding of diseases like cancer.

Purpose of the Study:

• To review current trends in omics technologies and their application in cancer research.
• To highlight the role of omics in understanding genotype-phenotype correlations using 3-D in vitro tumor models.
• To discuss challenges and future prospects of omics in cancer drug discovery and precision medicine.

Main Methods:

• Review of current literature on pan-omics technologies and 3-D in vitro tumor models.
• Analysis of integrated approaches combining omics data with 3-D tumor models.
• Discussion of genotype-phenotype correlations in solid tumors.

Main Results:

• Integrated omics and 3-D tumor models improve understanding of complex signaling pathways and molecular crosstalk in solid tumors.
• These approaches facilitate the identification of genotype-phenotype relationships crucial for personalized cancer therapy.
• The synergy between omics and 3-D models enhances disease pathophysiology insights and drug screening capabilities.

Conclusions:

• The integration of pan-omics technologies with 3-D in vitro tumor models represents a significant advancement in cancer research.
• This combined strategy is pivotal for discovering novel therapeutic targets and developing precision medicine approaches.
• Addressing current challenges will unlock the full potential of these technologies for improved cancer management and patient outcomes.