Metabolomics and triple-negative breast cancer: A systematic review

Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. T...
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Autor*in:	Meritxell Arenas [verfasserIn] Maria Fargas-Saladié [verfasserIn] Marta Moreno-Solé [verfasserIn] Lucía Moyano-Femenia [verfasserIn] Andrea Jiménez-Franco [verfasserIn] Marta Canela-Capdevila [verfasserIn] Helena Castañé [verfasserIn] Cristian Martínez-Navidad [verfasserIn] Jordi Camps [verfasserIn] Jorge Joven [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2024

Schlagwörter:	Biomarkers Breast cancer Metabolomics Neoadjuvant therapy Therapeutic targets

Übergeordnetes Werk:	In: Heliyon - Elsevier, 2016, 10(2024), 1, Seite e23628-
Übergeordnetes Werk:	volume:10 ; year:2024 ; number:1 ; pages:e23628-

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.heliyon.2023.e23628

Katalog-ID:	DOAJ096053283

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520			\|a Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer.
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allfields	10.1016/j.heliyon.2023.e23628 doi (DE-627)DOAJ096053283 (DE-599)DOAJ8c6626bc38754acdadb9d372e0373846 DE-627 ger DE-627 rakwb eng Q1-390 H1-99 Meritxell Arenas verfasserin aut Metabolomics and triple-negative breast cancer: A systematic review 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer. Biomarkers Breast cancer Metabolomics Neoadjuvant therapy Therapeutic targets Science (General) Social sciences (General) Maria Fargas-Saladié verfasserin aut Marta Moreno-Solé verfasserin aut Lucía Moyano-Femenia verfasserin aut Andrea Jiménez-Franco verfasserin aut Marta Canela-Capdevila verfasserin aut Helena Castañé verfasserin aut Cristian Martínez-Navidad verfasserin aut Jordi Camps verfasserin aut Jorge Joven verfasserin aut In Heliyon Elsevier, 2016 10(2024), 1, Seite e23628- (DE-627)835893197 (DE-600)2835763-2 24058440 nnns volume:10 year:2024 number:1 pages:e23628- https://doi.org/10.1016/j.heliyon.2023.e23628 kostenfrei https://doaj.org/article/8c6626bc38754acdadb9d372e0373846 kostenfrei http://www.sciencedirect.com/science/article/pii/S240584402310836X kostenfrei https://doaj.org/toc/2405-8440 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 10 2024 1 e23628-
spelling	10.1016/j.heliyon.2023.e23628 doi (DE-627)DOAJ096053283 (DE-599)DOAJ8c6626bc38754acdadb9d372e0373846 DE-627 ger DE-627 rakwb eng Q1-390 H1-99 Meritxell Arenas verfasserin aut Metabolomics and triple-negative breast cancer: A systematic review 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer. Biomarkers Breast cancer Metabolomics Neoadjuvant therapy Therapeutic targets Science (General) Social sciences (General) Maria Fargas-Saladié verfasserin aut Marta Moreno-Solé verfasserin aut Lucía Moyano-Femenia verfasserin aut Andrea Jiménez-Franco verfasserin aut Marta Canela-Capdevila verfasserin aut Helena Castañé verfasserin aut Cristian Martínez-Navidad verfasserin aut Jordi Camps verfasserin aut Jorge Joven verfasserin aut In Heliyon Elsevier, 2016 10(2024), 1, Seite e23628- (DE-627)835893197 (DE-600)2835763-2 24058440 nnns volume:10 year:2024 number:1 pages:e23628- https://doi.org/10.1016/j.heliyon.2023.e23628 kostenfrei https://doaj.org/article/8c6626bc38754acdadb9d372e0373846 kostenfrei http://www.sciencedirect.com/science/article/pii/S240584402310836X kostenfrei https://doaj.org/toc/2405-8440 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 10 2024 1 e23628-
allfields_unstemmed	10.1016/j.heliyon.2023.e23628 doi (DE-627)DOAJ096053283 (DE-599)DOAJ8c6626bc38754acdadb9d372e0373846 DE-627 ger DE-627 rakwb eng Q1-390 H1-99 Meritxell Arenas verfasserin aut Metabolomics and triple-negative breast cancer: A systematic review 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer. Biomarkers Breast cancer Metabolomics Neoadjuvant therapy Therapeutic targets Science (General) Social sciences (General) Maria Fargas-Saladié verfasserin aut Marta Moreno-Solé verfasserin aut Lucía Moyano-Femenia verfasserin aut Andrea Jiménez-Franco verfasserin aut Marta Canela-Capdevila verfasserin aut Helena Castañé verfasserin aut Cristian Martínez-Navidad verfasserin aut Jordi Camps verfasserin aut Jorge Joven verfasserin aut In Heliyon Elsevier, 2016 10(2024), 1, Seite e23628- (DE-627)835893197 (DE-600)2835763-2 24058440 nnns volume:10 year:2024 number:1 pages:e23628- https://doi.org/10.1016/j.heliyon.2023.e23628 kostenfrei https://doaj.org/article/8c6626bc38754acdadb9d372e0373846 kostenfrei http://www.sciencedirect.com/science/article/pii/S240584402310836X kostenfrei https://doaj.org/toc/2405-8440 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 10 2024 1 e23628-
allfieldsGer	10.1016/j.heliyon.2023.e23628 doi (DE-627)DOAJ096053283 (DE-599)DOAJ8c6626bc38754acdadb9d372e0373846 DE-627 ger DE-627 rakwb eng Q1-390 H1-99 Meritxell Arenas verfasserin aut Metabolomics and triple-negative breast cancer: A systematic review 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer. Biomarkers Breast cancer Metabolomics Neoadjuvant therapy Therapeutic targets Science (General) Social sciences (General) Maria Fargas-Saladié verfasserin aut Marta Moreno-Solé verfasserin aut Lucía Moyano-Femenia verfasserin aut Andrea Jiménez-Franco verfasserin aut Marta Canela-Capdevila verfasserin aut Helena Castañé verfasserin aut Cristian Martínez-Navidad verfasserin aut Jordi Camps verfasserin aut Jorge Joven verfasserin aut In Heliyon Elsevier, 2016 10(2024), 1, Seite e23628- (DE-627)835893197 (DE-600)2835763-2 24058440 nnns volume:10 year:2024 number:1 pages:e23628- https://doi.org/10.1016/j.heliyon.2023.e23628 kostenfrei https://doaj.org/article/8c6626bc38754acdadb9d372e0373846 kostenfrei http://www.sciencedirect.com/science/article/pii/S240584402310836X kostenfrei https://doaj.org/toc/2405-8440 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 10 2024 1 e23628-
allfieldsSound	10.1016/j.heliyon.2023.e23628 doi (DE-627)DOAJ096053283 (DE-599)DOAJ8c6626bc38754acdadb9d372e0373846 DE-627 ger DE-627 rakwb eng Q1-390 H1-99 Meritxell Arenas verfasserin aut Metabolomics and triple-negative breast cancer: A systematic review 2024 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer. Biomarkers Breast cancer Metabolomics Neoadjuvant therapy Therapeutic targets Science (General) Social sciences (General) Maria Fargas-Saladié verfasserin aut Marta Moreno-Solé verfasserin aut Lucía Moyano-Femenia verfasserin aut Andrea Jiménez-Franco verfasserin aut Marta Canela-Capdevila verfasserin aut Helena Castañé verfasserin aut Cristian Martínez-Navidad verfasserin aut Jordi Camps verfasserin aut Jorge Joven verfasserin aut In Heliyon Elsevier, 2016 10(2024), 1, Seite e23628- (DE-627)835893197 (DE-600)2835763-2 24058440 nnns volume:10 year:2024 number:1 pages:e23628- https://doi.org/10.1016/j.heliyon.2023.e23628 kostenfrei https://doaj.org/article/8c6626bc38754acdadb9d372e0373846 kostenfrei http://www.sciencedirect.com/science/article/pii/S240584402310836X kostenfrei https://doaj.org/toc/2405-8440 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_171 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 10 2024 1 e23628-
language	English
source	In Heliyon 10(2024), 1, Seite e23628- volume:10 year:2024 number:1 pages:e23628-
sourceStr	In Heliyon 10(2024), 1, Seite e23628- volume:10 year:2024 number:1 pages:e23628-
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Biomarkers Breast cancer Metabolomics Neoadjuvant therapy Therapeutic targets Science (General) Social sciences (General)
isfreeaccess_bool	true
container_title	Heliyon
authorswithroles_txt_mv	Meritxell Arenas @@aut@@ Maria Fargas-Saladié @@aut@@ Marta Moreno-Solé @@aut@@ Lucía Moyano-Femenia @@aut@@ Andrea Jiménez-Franco @@aut@@ Marta Canela-Capdevila @@aut@@ Helena Castañé @@aut@@ Cristian Martínez-Navidad @@aut@@ Jordi Camps @@aut@@ Jorge Joven @@aut@@
publishDateDaySort_date	2024-01-01T00:00:00Z
hierarchy_top_id	835893197
id	DOAJ096053283
language_de	englisch
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author	Meritxell Arenas
spellingShingle	Meritxell Arenas misc Q1-390 misc H1-99 misc Biomarkers misc Breast cancer misc Metabolomics misc Neoadjuvant therapy misc Therapeutic targets misc Science (General) misc Social sciences (General) Metabolomics and triple-negative breast cancer: A systematic review
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topic_title	Q1-390 H1-99 Metabolomics and triple-negative breast cancer: A systematic review Biomarkers Breast cancer Metabolomics Neoadjuvant therapy Therapeutic targets
topic	misc Q1-390 misc H1-99 misc Biomarkers misc Breast cancer misc Metabolomics misc Neoadjuvant therapy misc Therapeutic targets misc Science (General) misc Social sciences (General)
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title	Metabolomics and triple-negative breast cancer: A systematic review
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title_full	Metabolomics and triple-negative breast cancer: A systematic review
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author_browse	Meritxell Arenas Maria Fargas-Saladié Marta Moreno-Solé Lucía Moyano-Femenia Andrea Jiménez-Franco Marta Canela-Capdevila Helena Castañé Cristian Martínez-Navidad Jordi Camps Jorge Joven
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title_sort	metabolomics and triple-negative breast cancer: a systematic review
callnumber	Q1-390
title_auth	Metabolomics and triple-negative breast cancer: A systematic review
abstract	Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer.
abstractGer	Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer.
abstract_unstemmed	Background: Triple-negative breast cancer stands out as the most aggressive subtype of breast malignancy and is characterized by an unfavourable prognosis. Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. Conclusion: Future investigations need to focus on elucidating which of those metabolites and/or pathways might be reliable candidates for novel therapeutic interventions or reliable biomarkers for diagnosis and prognosis of this subtype of breast cancer.
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title_short	Metabolomics and triple-negative breast cancer: A systematic review
url	https://doi.org/10.1016/j.heliyon.2023.e23628 https://doaj.org/article/8c6626bc38754acdadb9d372e0373846 http://www.sciencedirect.com/science/article/pii/S240584402310836X https://doaj.org/toc/2405-8440
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author2	Maria Fargas-Saladié Marta Moreno-Solé Lucía Moyano-Femenia Andrea Jiménez-Franco Marta Canela-Capdevila Helena Castañé Cristian Martínez-Navidad Jordi Camps Jorge Joven
author2Str	Maria Fargas-Saladié Marta Moreno-Solé Lucía Moyano-Femenia Andrea Jiménez-Franco Marta Canela-Capdevila Helena Castañé Cristian Martínez-Navidad Jordi Camps Jorge Joven
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Objective: This systematic review summarizes the insights gleaned from metabolomic analyses of individuals afflicted with this cancer variant. The overarching goal was to delineate the molecular alterations associated with triple-negative breast cancer, pinpointing potential therapeutic targets and novel biomarkers. Methods: We systematically searched for evidence using the PubMed database and followed the PRISMA and STARLITE guidelines. The search parameters were delimited to articles published within the last 13 years. Results: From an initial pool of 148 scrutinized articles, 17 studies involving 1686 participants were deemed eligible for inclusion. The current body of research shows a paucity of studies, and the available evidence presents conflicting outcomes. Notwithstanding, Pathway Enrichment Analysis identified the urea and glucose-alanine cycles as the most affected metabolic pathways, followed by arginine, proline, and aspartate metabolism. 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Metabolomics and triple-negative breast cancer: A systematic review

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