{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/104825"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/104825","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Literature-based discovery of known and potential new mechanisms for relating the status of cholesterol to the progression of breast cancer","abstract":"Made available in DSpace on 2019-08-23T19:51:52Z (GMT). No. of bitstreams: 2 WANG-THESIS-2019.pdf: 5412791 bytes, checksum: 03dc1b07be536fed2bb50fd688310fa8 (MD5) LICENSE.txt: 4207 bytes, checksum: 7471f5efdab5eba639655da64b717063 (MD5) Previous issue date: 2019-04-17","abstract_html":"Made available in DSpace on 2019-08-23T19:51:52Z (GMT). No. of bitstreams: 2 WANG-THESIS-2019.pdf: 5412791 bytes, checksum: 03dc1b07be536fed2bb50fd688310fa8 (MD5) LICENSE.txt: 4207 bytes, checksum: 7471f5efdab5eba639655da64b717063 (MD5) Previous issue date: 2019-04-17","abstract_has_math":false,"creators":["Wang, Yu"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Bioinformatics","degree_department":null,"school":null,"contributors":["Torvik, Vetle I.","Nelson, Erik Russell"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-08-23T19:51:52Z","date_published":"2019-08-23T19:51:52Z","updated_at":"2026-07-22T22:24:42Z","subjects":["Literature-based discovery","literature review","breast cancer","cholesterol","mechanisms"],"languages":["en"],"rights":["Copyright 2019 Yu Wang"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/104825","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Torvik, Vetle I.","Nelson, Erik Russell"]},{"key":"dc:creator","label":"Author","values":["Wang, Yu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-08-23T19:51:52Z","2019-04-17","2019-05"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Bioinformatics"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Literature-based discovery","literature review","breast cancer","cholesterol","mechanisms"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2019 Yu Wang"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/104825"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Made available in DSpace on 2019-08-23T19:51:52Z (GMT). No. of bitstreams: 2 WANG-THESIS-2019.pdf: 5412791 bytes, checksum: 03dc1b07be536fed2bb50fd688310fa8 (MD5) LICENSE.txt: 4207 bytes, checksum: 7471f5efdab5eba639655da64b717063 (MD5) Previous issue date: 2019-04-17","Breast cancer has been studied for a long period of time and from a variety of perspectives in order to understand its pathogeny. The pathogeny of breast cancer can be classified into two groups: hereditary and spontaneous. Although cancer in general is considered a genetic disease, spontaneous factors are responsible for most of the pathogeny of breast cancer. In other words, breast cancer is more likely to be caused and deteriorated by the dysfunction of a physical molecule than be caused by germline mutation directly. Interestingly, cholesterol, as one of those molecules, has been discovered to correlate with breast cancer risk. However, the mechanisms of how cholesterol helps breast cancer progression are not thoroughly understood. As a result, this study aims to study known and discover potential new mechanisms regarding to the correlation of cholesterol and breast cancer progression using literature review and literature-based discovery. The known mechanisms are further classified into four groups: cholesterol membrane content, transport of cholesterol, cholesterol metabolites, and other. The potential mechanisms, which are intended to provide potential new treatments, have been identified and checked for feasibility by an expert.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-08-22 without embargo terms","The student, Yu Wang, accepted the attached license on 2019-04-14 at 23:20.","The student, Yu Wang, submitted this Thesis for approval on 2019-04-14 at 23:30.","This Thesis was approved for publication on 2019-04-17 at 10:01.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13618 on 2019-08-22 at 14:43:26"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Literature-based discovery of known and potential new mechanisms for relating the status of cholesterol to the progression of breast cancer"]}]}],"canonical_facts":{"dc:contributor":["Torvik, Vetle I.","Nelson, Erik Russell"],"dc:creator":["Wang, Yu"],"dc:date":["2019-08-23T19:51:52Z","2019-04-17","2019-05"],"dc:description":["Made available in DSpace on 2019-08-23T19:51:52Z (GMT). No. of bitstreams: 2 WANG-THESIS-2019.pdf: 5412791 bytes, checksum: 03dc1b07be536fed2bb50fd688310fa8 (MD5) LICENSE.txt: 4207 bytes, checksum: 7471f5efdab5eba639655da64b717063 (MD5) Previous issue date: 2019-04-17","Breast cancer has been studied for a long period of time and from a variety of perspectives in order to understand its pathogeny. The pathogeny of breast cancer can be classified into two groups: hereditary and spontaneous. Although cancer in general is considered a genetic disease, spontaneous factors are responsible for most of the pathogeny of breast cancer. In other words, breast cancer is more likely to be caused and deteriorated by the dysfunction of a physical molecule than be caused by germline mutation directly. Interestingly, cholesterol, as one of those molecules, has been discovered to correlate with breast cancer risk. However, the mechanisms of how cholesterol helps breast cancer progression are not thoroughly understood. As a result, this study aims to study known and discover potential new mechanisms regarding to the correlation of cholesterol and breast cancer progression using literature review and literature-based discovery. The known mechanisms are further classified into four groups: cholesterol membrane content, transport of cholesterol, cholesterol metabolites, and other. The potential mechanisms, which are intended to provide potential new treatments, have been identified and checked for feasibility by an expert.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2019-08-22 without embargo terms","The student, Yu Wang, accepted the attached license on 2019-04-14 at 23:20.","The student, Yu Wang, submitted this Thesis for approval on 2019-04-14 at 23:30.","This Thesis was approved for publication on 2019-04-17 at 10:01.","DSpace SAF Submission Ingestion Package generated from Vireo submission #13618 on 2019-08-22 at 14:43:26"],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/2142/104825"],"dc:language":["en"],"dc:rights":["Copyright 2019 Yu Wang"],"dc:subject":["Literature-based discovery","literature review","breast cancer","cholesterol","mechanisms"],"dc:title":["Literature-based discovery of known and potential new mechanisms for relating the status of cholesterol to the progression of breast cancer"],"dc:type":["text"],"thesis:degree_discipline":["Bioinformatics"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:24:42Z"}