BACKGROUND: Expression of the peptide hormones ghrelin and obestatin has previously been demonstrated in human mammary glands. However, the clinical implications of the expression of these peptides in breast cancer are unclear. The aim of this study was to investigate the potential clinical value of ghrelin and obestatin as breast cancer biomarkers. METHODS: A tissue microarray containing breast cancer specimens from 144 patients was immunostained with antibodies directed towards ghrelin and obestatin. Using varying cut-offs, the expression of the two peptides was evaluated and correlated to previously known prognostic factors in breast cancer and to the outcome. Cox regression analysis was used to assess whether these markers may predict survival of breast cancer patients. RESULTS: Moderate to strong immunoreactivity for ghrelin and obestatin was observed in 71.5% and 77.1% of the cases, respectively. Ghrelin and obestatin expression was significantly but weakly correlated to low histological grade, estrogen receptor positivity, small tumor size and low proliferation. Only ghrelin expression was significantly correlated to better recurrence-free and breast cancer-specific survival (HR = 0.3-0.4, p = 0.02-0.05) in both uni- and multivariate analyses. The optimal cut-off was any ghrelin expression versus none. Reproducibility between the two readers was very good for both stainings with kappa values of 0.94-1.00. CONCLUSIONS: Patients with tumors expressing ghrelin had 2.5-3 times lower risk for recurrence or breast cancer death than those lacking ghrelin expression. Ghrelin expression is easily assessable with high reproducibility using immunohistochemistry. Further investigations are needed to establish the clinical significance of ghrelin as a biomarker in breast cancer.
BACKGROUND: Expression of the peptide hormones ghrelin and obestatin has previously been demonstrated in human mammary glands. However, the clinical implications of the expression of these peptides in breast cancer are unclear. The aim of this study was to investigate the potential clinical value of ghrelin and obestatin as breast cancer biomarkers. METHODS: A tissue microarray containing breast cancer specimens from 144 patients was immunostained with antibodies directed towards ghrelin and obestatin. Using varying cut-offs, the expression of the two peptides was evaluated and correlated to previously known prognostic factors in breast cancer and to the outcome. Cox regression analysis was used to assess whether these markers may predict survival of breast cancerpatients. RESULTS: Moderate to strong immunoreactivity for ghrelin and obestatin was observed in 71.5% and 77.1% of the cases, respectively. Ghrelin and obestatin expression was significantly but weakly correlated to low histological grade, estrogen receptor positivity, small tumor size and low proliferation. Only ghrelin expression was significantly correlated to better recurrence-free and breast cancer-specific survival (HR = 0.3-0.4, p = 0.02-0.05) in both uni- and multivariate analyses. The optimal cut-off was any ghrelin expression versus none. Reproducibility between the two readers was very good for both stainings with kappa values of 0.94-1.00. CONCLUSIONS:Patients with tumors expressing ghrelin had 2.5-3 times lower risk for recurrence or breast cancer death than those lacking ghrelin expression. Ghrelin expression is easily assessable with high reproducibility using immunohistochemistry. Further investigations are needed to establish the clinical significance of ghrelin as a biomarker in breast cancer.
Authors: Andrew J Pellatt; Abbie Lundgreen; Roger K Wolff; Lisa Hines; Esther M John; Martha L Slattery Journal: Cancer Causes Control Date: 2016-01 Impact factor: 2.506
Authors: Meliha Mehmeti; Roni Allaoui; Caroline Bergenfelz; Lao H Saal; Stephen P Ethier; Martin E Johansson; Karin Jirström; Karin Leandersson Journal: Breast Cancer Res Date: 2015-09-22 Impact factor: 6.466
Authors: Aleksandra Matuszyk; Dagmara Ceranowicz; Zygmunt Warzecha; Piotr Ceranowicz; Krzysztof Fyderek; Krystyna Gałązka; Jakub Cieszkowski; Joanna Bonior; Jolanta Jaworek; Małgorzata Pihut; Artur Dembiński Journal: Biomed Res Int Date: 2015-12-02 Impact factor: 3.411
Authors: Roni Allaoui; Caroline Bergenfelz; Sofie Mohlin; Catharina Hagerling; Kiarash Salari; Zena Werb; Robin L Anderson; Stephen P Ethier; Karin Jirström; Sven Påhlman; Daniel Bexell; Balázs Tahin; Martin E Johansson; Christer Larsson; Karin Leandersson Journal: Nat Commun Date: 2016-10-11 Impact factor: 14.919
Authors: Caroline Bergenfelz; Alexander Gaber; Roni Allaoui; Meliha Mehmeti; Karin Jirström; Tomas Leanderson; Karin Leandersson Journal: Br J Cancer Date: 2015-10-08 Impact factor: 7.640