Artículo

DNA Damage Repair Proteins, HSP27, and Phosphorylated-HSP90α as Predictive/Prognostic Biomarkers of Platinum-based Cancer Chemotherapy: An Exploratory Study

Sottile Fleury, Mayra Lis Icon; Cuello Carrión, Fernando Darío Icon; Gomez, Laura Constanza Icon; Semino, Silvana ; Ibarra, Jorge Agustin ; García, María B. ; Gonzalez, Lucía ; Vargas Roig, Laura Maria Icon; Nadin, Silvina Beatriz Icon

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Fecha

07/2022

Editorial

Lippincott Williams

Revista

Applied Immunohistochemistry and Molecular Morphology

Título del libro

Nombre del evento

Fecha del evento

Institución organizadora

ISSN

1541-2016

eISSN

1533-4058

ISBN

Idioma

Inglés

Tipo del evento

Clasificación temática

Resumen

Platinum analogs are commonly used for cancer treatment. There is increasing interest in finding biomarkers which could predict and overcome resistance, because to date there is no reliable predictive/prognostic marker for these compounds. Here we studied the immunohistochemical expression of proteins involved in DNA damage response and repair (γH2AX, 53BP1, ERCC1, MLH1, and MSH2) in primary tumor tissues from patients treated with platinum-based chemotherapy. Levels and localization of Heat Shock Protein (HSP)27 and phospho-(Thr5/7)-HSP90α (p-HSP90α) were also determined. The implications in clinical response, disease-free survival and overall survival were analyzed. High γH2AX and 53BP1 expressions were associated with poor clinical response. Nuclear p-HSP90α, as well as nuclear absence and low cytoplasmic expression of HSP27 correlated with good response. Patients with high γH2AX and high cytoplasmic HSP27 expressions had shorter overall survival and disease-free survival. MLH1, MSH2, or ERCC1 were not associated with clinical response or survival. We report the potential utility of p-HSP90α, HSP27, γH2AX, and 53BP1 as predictive/prognostic markers for platinum-based chemotherapy. We present the first study that evaluates the predictive and prognostic value of p-HSP90α in primary tumors. Our research opens new possibilities for clinical oncology and shows the usefulness of immunohistochemistry for predicting chemotherapy response and prognosis in cancer.

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