PLC-gamma-1 phosphorylation status is prognostic of metastatic risk in patients with early-stage Luminal-A and -B breast cancer subtypes.


Journal

BMC cancer
ISSN: 1471-2407
Titre abrégé: BMC Cancer
Pays: England
ID NLM: 100967800

Informations de publication

Date de publication:
30 Jul 2019
Historique:
received: 29 12 2018
accepted: 17 07 2019
entrez: 1 8 2019
pubmed: 1 8 2019
medline: 1 1 2020
Statut: epublish

Résumé

Phospholipase Cγ1 (PLCγ1) is highly expressed in human tumours. Our previous studies reported that both stable and inducible PLCγ1 down-regulation can inhibit formation of breast-cancer-derived experimental lung metastasis. Further, high expression of PLCγ1 and its constitutively activated forms (i.e., PLCγ1-pY1253, PLCγ1-pY783) is associated with worse clinical outcome in terms of incidence of distant metastases, but not of local relapse in T1-T2, N0 breast cancer patients. In the present retrospective study, we analysed the prognostic role of PLCγ1 in early breast cancer patients stratified according to the St. Gallen criteria and to their menopausal status. PLCγ1-pY1253 and PLCγ1-pY783 protein expression levels were determined by immunohistochemistry on tissue microarrays, and were correlated with patients' clinical data, using univariate and multivariate statistical analyses. In our series, the prognostic value of PLCγ1 overexpression was restricted to Luminal type tumours. From multivariate analyses, pY1253-PLCγ1 PLCγ1 overexpression is a strong predictive surrogate marker of development of metastases in early Luminal-A and -B breast cancer patients, being able to discriminate patients with high and low risk of metastases. Therefore, targeting the PLCγ1 pathway can be considered of potential benefit for prevention of metastatic disease.

Sections du résumé

BACKGROUND BACKGROUND
Phospholipase Cγ1 (PLCγ1) is highly expressed in human tumours. Our previous studies reported that both stable and inducible PLCγ1 down-regulation can inhibit formation of breast-cancer-derived experimental lung metastasis. Further, high expression of PLCγ1 and its constitutively activated forms (i.e., PLCγ1-pY1253, PLCγ1-pY783) is associated with worse clinical outcome in terms of incidence of distant metastases, but not of local relapse in T1-T2, N0 breast cancer patients.
METHODS METHODS
In the present retrospective study, we analysed the prognostic role of PLCγ1 in early breast cancer patients stratified according to the St. Gallen criteria and to their menopausal status. PLCγ1-pY1253 and PLCγ1-pY783 protein expression levels were determined by immunohistochemistry on tissue microarrays, and were correlated with patients' clinical data, using univariate and multivariate statistical analyses.
RESULTS RESULTS
In our series, the prognostic value of PLCγ1 overexpression was restricted to Luminal type tumours. From multivariate analyses, pY1253-PLCγ1
CONCLUSIONS CONCLUSIONS
PLCγ1 overexpression is a strong predictive surrogate marker of development of metastases in early Luminal-A and -B breast cancer patients, being able to discriminate patients with high and low risk of metastases. Therefore, targeting the PLCγ1 pathway can be considered of potential benefit for prevention of metastatic disease.

Identifiants

pubmed: 31362705
doi: 10.1186/s12885-019-5949-x
pii: 10.1186/s12885-019-5949-x
pmc: PMC6668079
doi:

Substances chimiques

Biomarkers, Tumor 0
Ki-67 Antigen 0
MKI67 protein, human 0
Receptors, Estrogen 0
Receptors, Progesterone 0
ERBB2 protein, human EC 2.7.10.1
Receptor, ErbB-2 EC 2.7.10.1
Phospholipase C gamma EC 3.1.4.3

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

747

Références

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Auteurs

Rossano Lattanzio (R)

Department of Medical, Oral and Biotechnological Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy. rossano.lattanzio@unich.it.
Center for Advanced Studies and Technology (CAST), 'G. d'Annunzio' University of Chieti-Pescara, Via Luigi Polacchi 11, 66100, Chieti, Italy. rossano.lattanzio@unich.it.

Manuela Iezzi (M)

Center for Advanced Studies and Technology (CAST), 'G. d'Annunzio' University of Chieti-Pescara, Via Luigi Polacchi 11, 66100, Chieti, Italy.
Department of Medicine and Aging Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy.

Gianluca Sala (G)

Department of Medical, Oral and Biotechnological Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy.
Center for Advanced Studies and Technology (CAST), 'G. d'Annunzio' University of Chieti-Pescara, Via Luigi Polacchi 11, 66100, Chieti, Italy.

Nicola Tinari (N)

Department of Medical, Oral and Biotechnological Sciences, 'G. d'Annunzio' University of Chieti-Pescara, Chieti, Italy.
Center for Advanced Studies and Technology (CAST), 'G. d'Annunzio' University of Chieti-Pescara, Via Luigi Polacchi 11, 66100, Chieti, Italy.

Marco Falasca (M)

Metabolic Signalling Group, School of Pharmacy and Biomedical Sciences, Curtin Health Innovation Research Institute, Curtin University, Perth, Australia.

Saverio Alberti (S)

Department of Biotechnology BIOMORF, University of Messina, Via Consolare Valeria 1, 98125, Messina, Italy.

Simonetta Buglioni (S)

Department of Pathology, 'Regina Elena' National Cancer Institute, Via E. Chianesi, 53, 00144, Rome, Italy.

Marcella Mottolese (M)

Department of Pathology, 'Regina Elena' National Cancer Institute, Via E. Chianesi, 53, 00144, Rome, Italy.

Letizia Perracchio (L)

Department of Pathology, 'Regina Elena' National Cancer Institute, Via E. Chianesi, 53, 00144, Rome, Italy.

Pier Giorgio Natali (PG)

Center for Advanced Studies and Technology (CAST), 'G. d'Annunzio' University of Chieti-Pescara, Via Luigi Polacchi 11, 66100, Chieti, Italy.

Mauro Piantelli (M)

Center for Advanced Studies and Technology (CAST), 'G. d'Annunzio' University of Chieti-Pescara, Via Luigi Polacchi 11, 66100, Chieti, Italy.

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Classifications MeSH