Mesenchymal/stromal gene expression signature relates to basal-like breast cancers, identifies bone metastasis and predicts resistance to therapies.
<h4>Background</h4>Mounting clinical and experimental evidence suggests that the shift of carcinomas towards a mesenchymal phenotype is a common paradigm for both resistance to therapy and tumor recurrence. However, the mesenchymalization of carcinomas has not yet entered clinical practi...
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oai:doaj.org-article:950ce2c2c1144253a2591cb5960aa6772021-11-18T07:02:13ZMesenchymal/stromal gene expression signature relates to basal-like breast cancers, identifies bone metastasis and predicts resistance to therapies.1932-620310.1371/journal.pone.0014131https://doaj.org/article/950ce2c2c1144253a2591cb5960aa6772010-11-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21152434/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Mounting clinical and experimental evidence suggests that the shift of carcinomas towards a mesenchymal phenotype is a common paradigm for both resistance to therapy and tumor recurrence. However, the mesenchymalization of carcinomas has not yet entered clinical practice as a crucial diagnostic paradigm.<h4>Methodology/principal findings</h4>By integrating in silico and in vitro studies with our epithelial and mesenchymal tumor models, we compare herein crucial molecular pathways of previously described carcinoma-derived mesenchymal tumor cells (A17) with that of both carcinomas and other mesenchymal phenotypes, such as mesenchymal stem cells (MSCs), breast stroma, and various types of sarcomas. We identified three mesenchymal/stromal-signatures which A17 cells shares with MSCs and breast stroma. By using a recently developed computational approach with publicly available microarray data, we show that these signatures: 1) significantly relates to basal-like breast cancer subtypes; 2) significantly relates to bone metastasis; 3) are up-regulated after hormonal treatment; 4) predict resistance to neoadjuvant therapies.<h4>Conclusions/significance</h4>Our results demonstrate that mesenchymalization is an intrinsic property of the most aggressive tumors and it relates to therapy resistance as well as bone metastasis.Cristina MarchiniMaura MontaniGeorgia KonstantinidouRita OrrùSilvia MannucciGiorgio RamadoriFederico GabrielliAnna BaruzziGiorgio BertonFlavia MerigoStefania FinManuela IezziBrigitte BisaroAndrea SbarbatiMassimo ZeraniMirco GalièAugusto AmiciPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 5, Iss 11, p e14131 (2010) |
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DOAJ |
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DOAJ |
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| topic |
Medicine R Science Q |
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Medicine R Science Q Cristina Marchini Maura Montani Georgia Konstantinidou Rita Orrù Silvia Mannucci Giorgio Ramadori Federico Gabrielli Anna Baruzzi Giorgio Berton Flavia Merigo Stefania Fin Manuela Iezzi Brigitte Bisaro Andrea Sbarbati Massimo Zerani Mirco Galiè Augusto Amici Mesenchymal/stromal gene expression signature relates to basal-like breast cancers, identifies bone metastasis and predicts resistance to therapies. |
| description |
<h4>Background</h4>Mounting clinical and experimental evidence suggests that the shift of carcinomas towards a mesenchymal phenotype is a common paradigm for both resistance to therapy and tumor recurrence. However, the mesenchymalization of carcinomas has not yet entered clinical practice as a crucial diagnostic paradigm.<h4>Methodology/principal findings</h4>By integrating in silico and in vitro studies with our epithelial and mesenchymal tumor models, we compare herein crucial molecular pathways of previously described carcinoma-derived mesenchymal tumor cells (A17) with that of both carcinomas and other mesenchymal phenotypes, such as mesenchymal stem cells (MSCs), breast stroma, and various types of sarcomas. We identified three mesenchymal/stromal-signatures which A17 cells shares with MSCs and breast stroma. By using a recently developed computational approach with publicly available microarray data, we show that these signatures: 1) significantly relates to basal-like breast cancer subtypes; 2) significantly relates to bone metastasis; 3) are up-regulated after hormonal treatment; 4) predict resistance to neoadjuvant therapies.<h4>Conclusions/significance</h4>Our results demonstrate that mesenchymalization is an intrinsic property of the most aggressive tumors and it relates to therapy resistance as well as bone metastasis. |
| format |
article |
| author |
Cristina Marchini Maura Montani Georgia Konstantinidou Rita Orrù Silvia Mannucci Giorgio Ramadori Federico Gabrielli Anna Baruzzi Giorgio Berton Flavia Merigo Stefania Fin Manuela Iezzi Brigitte Bisaro Andrea Sbarbati Massimo Zerani Mirco Galiè Augusto Amici |
| author_facet |
Cristina Marchini Maura Montani Georgia Konstantinidou Rita Orrù Silvia Mannucci Giorgio Ramadori Federico Gabrielli Anna Baruzzi Giorgio Berton Flavia Merigo Stefania Fin Manuela Iezzi Brigitte Bisaro Andrea Sbarbati Massimo Zerani Mirco Galiè Augusto Amici |
| author_sort |
Cristina Marchini |
| title |
Mesenchymal/stromal gene expression signature relates to basal-like breast cancers, identifies bone metastasis and predicts resistance to therapies. |
| title_short |
Mesenchymal/stromal gene expression signature relates to basal-like breast cancers, identifies bone metastasis and predicts resistance to therapies. |
| title_full |
Mesenchymal/stromal gene expression signature relates to basal-like breast cancers, identifies bone metastasis and predicts resistance to therapies. |
| title_fullStr |
Mesenchymal/stromal gene expression signature relates to basal-like breast cancers, identifies bone metastasis and predicts resistance to therapies. |
| title_full_unstemmed |
Mesenchymal/stromal gene expression signature relates to basal-like breast cancers, identifies bone metastasis and predicts resistance to therapies. |
| title_sort |
mesenchymal/stromal gene expression signature relates to basal-like breast cancers, identifies bone metastasis and predicts resistance to therapies. |
| publisher |
Public Library of Science (PLoS) |
| publishDate |
2010 |
| url |
https://doaj.org/article/950ce2c2c1144253a2591cb5960aa677 |
| work_keys_str_mv |
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