A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics Tools

Invasive Breast Carcinoma is a complex heterogeneous disease in terms of diagnosis, clinical course, and pathology categorization. The World Health Organization (WHO) categorization does include more than a dozen variants, that are less prevalent, but are nonetheless extremely well described. In ord...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Bou Daher, Sarkis (author)
التنسيق: masterThesis
منشور في: 2022
الموضوعات:
الوصول للمادة أونلاين:http://hdl.handle.net/10725/14600
https://doi.org/10.26756/th.2022.534
http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php
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author Bou Daher, Sarkis
author_facet Bou Daher, Sarkis
author_role author
dc.creator.none.fl_str_mv Bou Daher, Sarkis
dc.date.none.fl_str_mv 2022
2022-12-19
2023-03-20T09:33:46Z
2023-03-20T09:33:46Z
dc.identifier.none.fl_str_mv http://hdl.handle.net/10725/14600
https://doi.org/10.26756/th.2022.534
http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php
dc.language.none.fl_str_mv en
dc.publisher.none.fl_str_mv Lebanese American University
dc.rights.*.fl_str_mv info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Breast -- Cancer -- Molecular aspects
Breast -- Cancer -- Genetic aspects
Breast -- Cancer -- Treatment
Bioinformatics -- Case studies
Lebanese American University -- Dissertations
Dissertations, Academic
dc.title.none.fl_str_mv A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics Tools
dc.type.none.fl_str_mv Thesis
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/masterThesis
description Invasive Breast Carcinoma is a complex heterogeneous disease in terms of diagnosis, clinical course, and pathology categorization. The World Health Organization (WHO) categorization does include more than a dozen variants, that are less prevalent, but are nonetheless extremely well described. In order to administer the appropriate therapy for each tumor, and to move from large, randomized research to a targeted one, it is crucial to understand the cancer type. This has now been made easier thanks to bioinformatics, the massive amounts of data produced, and the availability of tools to evaluate, understand, and then use this data in cancer therapy approaches. In this study, 12 genes associated with invasive breast carcinoma were mined in the cBioPortal for Cancer Genomics platform. Data was analyzed via bioinformatic tools such as Cytoscape, and MutationTaster. Further analysis regarding the oncogenic status of detected mutations allowed us to predict drugs that can be used in targeted treatment.TP53 was found to have the highest alteration percentage followed by ERBB2 and CDH1. Most of the gene combinations were co-occurrent with couple of mutually exclusive ones. The overall survival rate for patients harboring our 12 studied genes was lower than the unaltered group. Our study seeks to provide novel insights into invasive breast carcinoma’s mutational signature, which would help improve therapeutic approaches, chemoresistance, autophagy, as well as the pathways disrupted in breast cancer.
eu_rights_str_mv openAccess
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id LAURepo_60dc28eaa191d767b9bf83c1c0bdf85f
language_invalid_str_mv en
network_acronym_str LAURepo
network_name_str Lebanese American University repository
oai_identifier_str oai:laur.lau.edu.lb:10725/14600
publishDate 2022
publisher.none.fl_str_mv Lebanese American University
repository.mail.fl_str_mv
repository.name.fl_str_mv
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spelling A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics ToolsBou Daher, SarkisBreast -- Cancer -- Molecular aspectsBreast -- Cancer -- Genetic aspectsBreast -- Cancer -- TreatmentBioinformatics -- Case studiesLebanese American University -- DissertationsDissertations, AcademicInvasive Breast Carcinoma is a complex heterogeneous disease in terms of diagnosis, clinical course, and pathology categorization. The World Health Organization (WHO) categorization does include more than a dozen variants, that are less prevalent, but are nonetheless extremely well described. In order to administer the appropriate therapy for each tumor, and to move from large, randomized research to a targeted one, it is crucial to understand the cancer type. This has now been made easier thanks to bioinformatics, the massive amounts of data produced, and the availability of tools to evaluate, understand, and then use this data in cancer therapy approaches. In this study, 12 genes associated with invasive breast carcinoma were mined in the cBioPortal for Cancer Genomics platform. Data was analyzed via bioinformatic tools such as Cytoscape, and MutationTaster. Further analysis regarding the oncogenic status of detected mutations allowed us to predict drugs that can be used in targeted treatment.TP53 was found to have the highest alteration percentage followed by ERBB2 and CDH1. Most of the gene combinations were co-occurrent with couple of mutually exclusive ones. The overall survival rate for patients harboring our 12 studied genes was lower than the unaltered group. Our study seeks to provide novel insights into invasive breast carcinoma’s mutational signature, which would help improve therapeutic approaches, chemoresistance, autophagy, as well as the pathways disrupted in breast cancer.1 online resource (xi, 52 leaves): ill. (some col.)Includes bibliographical references (leaves 42-52)Lebanese American University2023-03-20T09:33:46Z2023-03-20T09:33:46Z20222022-12-19Thesisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesishttp://hdl.handle.net/10725/14600https://doi.org/10.26756/th.2022.534http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.phpeninfo:eu-repo/semantics/openAccessoai:laur.lau.edu.lb:10725/146002023-11-09T09:00:38Z
spellingShingle A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics Tools
Bou Daher, Sarkis
Breast -- Cancer -- Molecular aspects
Breast -- Cancer -- Genetic aspects
Breast -- Cancer -- Treatment
Bioinformatics -- Case studies
Lebanese American University -- Dissertations
Dissertations, Academic
status_str publishedVersion
title A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics Tools
title_full A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics Tools
title_fullStr A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics Tools
title_full_unstemmed A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics Tools
title_short A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics Tools
title_sort A Multi-Omic Characterization of Multiple Oncogenic Interactions and its Therapeutics in Invasive Breast Carcinoma applying Bioinformatics Tools
topic Breast -- Cancer -- Molecular aspects
Breast -- Cancer -- Genetic aspects
Breast -- Cancer -- Treatment
Bioinformatics -- Case studies
Lebanese American University -- Dissertations
Dissertations, Academic
url http://hdl.handle.net/10725/14600
https://doi.org/10.26756/th.2022.534
http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php