Evolution of HER2-positive mammary carcinoma: HER2 loss reveals claudin-low traits in cancer progression

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作者
Veronica Giusti
Francesca Ruzzi
Lorena Landuzzi
Marianna L. Ianzano
Roberta Laranga
Elena Nironi
Laura Scalambra
Giordano Nicoletti
Carla De Giovanni
Martina Olivero
Maddalena Arigoni
Raffaele Calogero
Patrizia Nanni
Arianna Palladini
Pier-Luigi Lollini
机构
[1] IRCCS Istituto Ortopedico Rizzoli,Laboratory of Experimental Oncology
[2] University of Bologna,Laboratory of Immunology and Biology of Metastasis, Department of Experimental, Diagnostic and Specialty Medicine (DIMES)
[3] Candiolo Cancer Institute-FPO,Department of Molecular Biotechnology and Health Science
[4] IRCCS,Department of Pharmacy and Biotechnology
[5] Candiolo,undefined
[6] University of Torino,undefined
[7] University of Bologna,undefined
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Oncogenesis | / 10卷
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摘要
HER2-positive breast cancers may lose HER2 expression in recurrences and metastases. In this work, we studied cell lines derived from two transgenic mammary tumors driven by human HER2 that showed different dynamics of HER2 status. MamBo89HER2stable cell line displayed high and stable HER2 expression, which was maintained upon in vivo passages, whereas MamBo43HER2labile cell line gave rise to HER2-negative tumors from which MamBo38HER2loss cell line was derived. Both low-density seeding and in vitro trastuzumab treatment of MamBo43HER2labile cells induced the loss of HER2 expression. MamBo38HER2loss cells showed a spindle-like morphology, high stemness and acquired in vivo malignancy. A comprehensive molecular profile confirmed the loss of addiction to HER2 signaling and acquisition of an EMT signature, together with increased angiogenesis and migration ability. We identified PDGFR-B among the newly expressed determinants of MamBo38HER2loss cell tumorigenic ability. Sunitinib inhibited MamBo38HER2loss tumor growth in vivo and reduced stemness and IL6 production in vitro. In conclusion, HER2-positive mammary tumors can evolve into tumors that display distinctive traits of claudin-low tumors. Our dynamic model of HER2 status can lead to the identification of new druggable targets, such as PDGFR-B, in order to counteract the resistance to HER2-targeted therapy that is caused by HER2 loss.
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