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Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer

PURPOSE: The emergence of genomic targeted therapy has improved the prospects of treatment for breast cancer (BC). However, genetic testing relies on invasive and sophisticated procedures. PATIENTS AND METHODS: Here, we performed ultrasound (US) and target sequencing to unravel the possible associat...

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Autores principales: Huang, Yunxia, Guo, Yi, Xiao, Qin, Liang, Shuyu, Yu, Qiang, Qian, Lang, Zhou, Jin, Le, Jian, Pei, Yuchen, Wang, Lei, Chang, Cai, Chen, Sheng, Zhou, Shichong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349575/
https://www.ncbi.nlm.nih.gov/pubmed/37456987
http://dx.doi.org/10.2147/BCTT.S408997
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author Huang, Yunxia
Guo, Yi
Xiao, Qin
Liang, Shuyu
Yu, Qiang
Qian, Lang
Zhou, Jin
Le, Jian
Pei, Yuchen
Wang, Lei
Chang, Cai
Chen, Sheng
Zhou, Shichong
author_facet Huang, Yunxia
Guo, Yi
Xiao, Qin
Liang, Shuyu
Yu, Qiang
Qian, Lang
Zhou, Jin
Le, Jian
Pei, Yuchen
Wang, Lei
Chang, Cai
Chen, Sheng
Zhou, Shichong
author_sort Huang, Yunxia
collection PubMed
description PURPOSE: The emergence of genomic targeted therapy has improved the prospects of treatment for breast cancer (BC). However, genetic testing relies on invasive and sophisticated procedures. PATIENTS AND METHODS: Here, we performed ultrasound (US) and target sequencing to unravel the possible association between US radiomics features and somatic mutations in TNBC (n=83) and non-TNBC (n=83) patients. Least absolute shrinkage and selection operator (Lasso) were utilized to perform radiomic feature selection. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was utilized to identify the signaling pathways associated with radiomic features. RESULTS: Thirteen differently represented radiomic features were identified in TNBC and non-TNBC, including tumor shape, textual, and intensity features. The US radiomic–gene pairs were differently exhibited between TNBC and non-TNBC. Further investigation with KEGG verified radiomic–pathway (ie, JAK-STAT, MAPK, Ras, Wnt, microRNAs in cancer, PI3K-Akt) associations in TNBC and non-TNBC. CONCLUSION: The pivotal network provided the connections of US radiogenomic signature and target sequencing for non-invasive genetic assessment of precise BC treatment.
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spelling pubmed-103495752023-07-16 Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer Huang, Yunxia Guo, Yi Xiao, Qin Liang, Shuyu Yu, Qiang Qian, Lang Zhou, Jin Le, Jian Pei, Yuchen Wang, Lei Chang, Cai Chen, Sheng Zhou, Shichong Breast Cancer (Dove Med Press) Original Research PURPOSE: The emergence of genomic targeted therapy has improved the prospects of treatment for breast cancer (BC). However, genetic testing relies on invasive and sophisticated procedures. PATIENTS AND METHODS: Here, we performed ultrasound (US) and target sequencing to unravel the possible association between US radiomics features and somatic mutations in TNBC (n=83) and non-TNBC (n=83) patients. Least absolute shrinkage and selection operator (Lasso) were utilized to perform radiomic feature selection. The Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was utilized to identify the signaling pathways associated with radiomic features. RESULTS: Thirteen differently represented radiomic features were identified in TNBC and non-TNBC, including tumor shape, textual, and intensity features. The US radiomic–gene pairs were differently exhibited between TNBC and non-TNBC. Further investigation with KEGG verified radiomic–pathway (ie, JAK-STAT, MAPK, Ras, Wnt, microRNAs in cancer, PI3K-Akt) associations in TNBC and non-TNBC. CONCLUSION: The pivotal network provided the connections of US radiogenomic signature and target sequencing for non-invasive genetic assessment of precise BC treatment. Dove 2023-07-11 /pmc/articles/PMC10349575/ /pubmed/37456987 http://dx.doi.org/10.2147/BCTT.S408997 Text en © 2023 Huang et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php).
spellingShingle Original Research
Huang, Yunxia
Guo, Yi
Xiao, Qin
Liang, Shuyu
Yu, Qiang
Qian, Lang
Zhou, Jin
Le, Jian
Pei, Yuchen
Wang, Lei
Chang, Cai
Chen, Sheng
Zhou, Shichong
Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer
title Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer
title_full Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer
title_fullStr Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer
title_full_unstemmed Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer
title_short Unraveling the Pivotal Network of Ultrasound and Somatic Mutations in Triple-Negative and Non-Triple-Negative Breast Cancer
title_sort unraveling the pivotal network of ultrasound and somatic mutations in triple-negative and non-triple-negative breast cancer
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10349575/
https://www.ncbi.nlm.nih.gov/pubmed/37456987
http://dx.doi.org/10.2147/BCTT.S408997
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