A database of integrated molecular and phytochemical interactions of the foxm1 pathway for lung cancer

Area of Science:

• Oncology
• Molecular Biology
• Bioinformatics

Background:

• The FoxM1 pathway is crucial for cell-cycle progression, apoptosis, and growth, acting as an oncogenic driver in various cancers.
• While FoxM1's role in tumor development is known, its precise mechanisms in cancer progression remain unclear.
• Understanding these mechanisms is vital for developing targeted lung cancer therapies.

Purpose of the Study:

• To investigate the oncogenic FoxM1 pathway in lung cancer.
• To identify alternative treatment strategies using phytochemical substances.
• To elucidate the molecular mechanisms underlying FoxM1's role in lung cancer progression.

Main Methods:

• Utilized Molecular Complex Detection (MCODE) and maximal clique (Mclique) algorithms to identify downstream protein modules of the FoxM1 pathway.
• Analyzed interactions of microRNAs, transcription factors, and phytochemical compounds with lung cancer protein modules.
• Developed a web-based system for data accessibility and query submission.

Main Results:

• Identified key protein modules within the FoxM1 pathway critical for lung cancer.
• Observed the influence of post-transcriptional modifications and phytochemicals on these modules.
• Demonstrated the potential of combined phytochemicals for lung cancer treatment through case studies.

Conclusions:

• Phytochemical compounds show promise as alternative or complementary treatments for lung cancer.
• Combination therapy with phytochemicals and conventional agents may improve efficacy and reduce side effects.
• The developed database serves as a valuable resource for researchers investigating the FoxM1 pathway in lung cancer.