Bioinformatics based exploration on STAT3 driven molecular pathways and therapeutic targets in lung adenocarcinoma

dc.contributor.advisorAsaduzzaman, Muhammad
dc.contributor.authorIslam, Ferdousi
dc.date.accessioned2025-01-12T05:34:58Z
dc.date.available2025-01-12T05:34:58Z
dc.date.issued2024-09
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 50-52).
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Pharmacy, 2024.
dc.description.abstractThe research identified and analyzed genes related to the STAT3 pathway, which plays a crucial role in lung adenocarcinoma progression and treatment resistance. Thus, using BioPortal, Harmonizome, and KEGG PATHWAY several genes including HRAS, SMAD2, IQGAP1, and NFKB1 were considered as significantly co-expressed with STAT3. These genes were also reported to affect different cancer pathways, which are Ras, TGF-beta and NF-kappa B signaling all of which are core to cancer cell proliferation and survival. The pathway analysis of STAT3 target genes demonstrated that the TGF-beta signaling and MAPK signaling pathways are most relevant to lung cancer cases proving their key role in STAT3 mediated tumorigenesis. These findings also point to possible new therapeutic targets to improve the treatment of lung adenocarcinoma, because the pathways detected could represent avenues for molecular therapies that the current standard treatment of chemotherapy and radiation does not fully address, and are likely to provide better survival outcomes.
dc.identifier.otherID 20346029
dc.identifier.otherhttps://dspace.bracu.ac.bd/server/api/core/items/5bd25433-0dec-4a59-95ac-f27d4ff24b40
dc.identifier.urihttp://hdl.handle.net/10361/25104
dc.language.isoen
dc.publisherBRAC University
dc.sourceBRAC University Institutional Repository
dc.subjectLung adenocarcinoma
dc.subjectSTAT3 pathway
dc.subjectMAPK signaling
dc.subjectTGF-beta signaling
dc.subjectLung cancer
dc.subjectMolecular pathways
dc.titleBioinformatics based exploration on STAT3 driven molecular pathways and therapeutic targets in lung adenocarcinoma
dc.typeThesis

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