The Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy and the Epithelial-Mesenchymal Transition
It would be highly desirable to find prognostic and predictive markers for triple-negative breast cancer (TNBC), a strongly heterogeneous and invasive breast cancer subtype often characterized by a high recurrence rate and a poor outcome. Here, we investigated the prognostic and predictive capabilit...
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| Published in | International journal of molecular sciences Vol. 24; no. 7; p. 6422 |
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| Format | Journal Article |
| Language | English |
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| Abstract | It would be highly desirable to find prognostic and predictive markers for triple-negative breast cancer (TNBC), a strongly heterogeneous and invasive breast cancer subtype often characterized by a high recurrence rate and a poor outcome. Here, we investigated the prognostic and predictive capabilities of ARIADNE, a recently developed transcriptomic test focusing on the epithelial-mesenchymal transition. We first compared the stratification of TNBC patients obtained by ARIADNE with that based on other common pathological indicators, such as grade, stage and nodal status, and found that ARIADNE was more effective than the other methods in dividing patients into groups with different disease-free survival statistics. Next, we considered the response to neoadjuvant chemotherapy and found that the classification provided by ARIADNE led to statistically significant differences in the rates of pathological complete response within the groups. |
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| AbstractList | It would be highly desirable to find prognostic and predictive markers for triple-negative breast cancer (TNBC), a strongly heterogeneous and invasive breast cancer subtype often characterized by a high recurrence rate and a poor outcome. Here, we investigated the prognostic and predictive capabilities of ARIADNE, a recently developed transcriptomic test focusing on the epithelial-mesenchymal transition. We first compared the stratification of TNBC patients obtained by ARIADNE with that based on other common pathological indicators, such as grade, stage and nodal status, and found that ARIADNE was more effective than the other methods in dividing patients into groups with different disease-free survival statistics. Next, we considered the response to neoadjuvant chemotherapy and found that the classification provided by ARIADNE led to statistically significant differences in the rates of pathological complete response within the groups. |
| Audience | Academic |
| Author | Zapperi, Stefano La Porta, Caterina A M |
| AuthorAffiliation | 2 CNR—Consiglio Nazionale delle Ricerche, Istituto di Chimica della Materia Condensata e di Tecnologie per l’Energia, Via R. Cozzi 53, 20125 Milano, Italy 3 Center for Complexity and Biosystems, Department of Environmental Science and Policy, University of Milan, Via Celoria 10, 20133 Milano, Italy 4 CNR—Consiglio Nazionale delle Ricerche, Istituto di Biofisica, Via Celoria 10, 20133 Milano, Italy 1 Center for Complexity and Biosystems, Department of Physics, University of Milan, Via Celoria 16, 20133 Milano, Italy |
| AuthorAffiliation_xml | – name: 1 Center for Complexity and Biosystems, Department of Physics, University of Milan, Via Celoria 16, 20133 Milano, Italy – name: 2 CNR—Consiglio Nazionale delle Ricerche, Istituto di Chimica della Materia Condensata e di Tecnologie per l’Energia, Via R. Cozzi 53, 20125 Milano, Italy – name: 3 Center for Complexity and Biosystems, Department of Environmental Science and Policy, University of Milan, Via Celoria 10, 20133 Milano, Italy – name: 4 CNR—Consiglio Nazionale delle Ricerche, Istituto di Biofisica, Via Celoria 10, 20133 Milano, Italy |
| Author_xml | – sequence: 1 givenname: Stefano orcidid: 0000-0001-5692-5465 surname: Zapperi fullname: Zapperi, Stefano organization: CNR-Consiglio Nazionale delle Ricerche, Istituto di Chimica della Materia Condensata e di Tecnologie per l'Energia, Via R. Cozzi 53, 20125 Milano, Italy – sequence: 2 givenname: Caterina A M orcidid: 0000-0002-3010-8966 surname: La Porta fullname: La Porta, Caterina A M organization: CNR-Consiglio Nazionale delle Ricerche, Istituto di Biofisica, Via Celoria 10, 20133 Milano, Italy |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37047393$$D View this record in MEDLINE/PubMed |
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| Keywords | drug response epithelial–mesenchymal transition triple-negative breast cancer |
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| SubjectTerms | Adjuvant treatment Antineoplastic Combined Chemotherapy Protocols - therapeutic use Breast cancer Cancer Cancer therapies Chemotherapy Classification Clinical trials Comparative analysis Disease-Free Survival drug response Epithelial-Mesenchymal Transition - genetics epithelial–mesenchymal transition Gene expression Gene Expression Profiling Humans Immunotherapy Lymphatic system Machine learning Medical prognosis Metastasis Neoadjuvant Therapy - methods Patients Statistical analysis Stem cells Surgery Transcriptomics Triple Negative Breast Neoplasms - drug therapy Triple Negative Breast Neoplasms - genetics triple-negative breast cancer Tumors |
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| Title | The Response of Triple-Negative Breast Cancer to Neoadjuvant Chemotherapy and the Epithelial-Mesenchymal Transition |
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