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

bracu.degree.levelUndergraduate
bracu.type.groupStudent Works
datacite.rightsOpen Access
dc.contributor.advisorAsaduzzaman, Muhammad
dc.contributor.authorIslam, Ferdousi
dc.contributor.departmentSchool of Pharmacy
dc.date.accessioned2025-01-12T05:34:58Z
dc.date.available2025-01-12T05:34:58Z
dc.date.copyright©2024
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.en_US
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.en_US
dc.description.degreeBachelor of Pharmacy
dc.description.statementofresponsibilityFerdousi Islam
dc.format.extent65 pages
dc.identifier.otherID 20346029
dc.identifier.urihttp://hdl.handle.net/10361/25104
dc.language.isoenen_US
dc.publisherBRAC Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectLung adenocarcinomaen_US
dc.subjectSTAT3 pathwayen_US
dc.subjectMAPK signalingen_US
dc.subjectTGF-beta signalingen_US
dc.subjectLung cancer
dc.subjectMolecular pathwaysen_US
dc.subject.lcshLungs--Cancer--Therapy.
dc.subject.lcshBioinformatics.
dc.titleBioinformatics based exploration on STAT3 driven molecular pathways and therapeutic targets in lung adenocarcinomaen_US
dc.typeThesisen_US

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