Human skin biomarkers relationship to response to treatment with tyrosine kinase inhibitors in advanced EGFR‐mutated lung adenocarcinoma

• Main Authors: Anahí Castañeda‐Zárraga, Jerónimo Rafael Rodríguez‐Cid, Rodrigo Rafael Flores‐Mariñelarena, Héctor Trinidad‐Bibiano, José Fabián Martínez‐Herrera, Carla Paola Sánchez‐Ríos, Valeria Michelle Fernández‐Garibay, Jorge Arturo Alatorre‐Alexander, Luis Martínez‐Barrera, Patricio Javier Santillán‐Doherty, María Elisa Vega‐Memije
• Format: Article
• Language: English
• Published: Wiley 2020-11-01
• Series: Thoracic Cancer
• Subjects: Biomarkers; EGFR; NSCLC; skin biopsy
• Online Access: https://doi.org/10.1111/1759-7714.13657

Background A relationship between the EGFR signaling pathway expression in skin and the use of targeted cancer therapies has been previously demonstrated. Consistent evidence to support the use of skin biopsies as a surrogate for therapeutic evaluation is needed. The purpose of this study was to establish the relationship between the expression of EGFR signaling pathway markers in skin samples from EGFR‐mutated metastatic lung adenocarcinoma patients and their response to tyrosine kinase inhibitors. Methods This was a prospective single blind analysis of 35 skin biopsies from 31 patients with confirmed advanced EGFR‐mutated lung adenocarcinoma. Immunohistochemistry was performed: EGFR, p27, Ki67, STAT3 and MAPK, as well as H&E histopathological analysis, in order to determine their treatment response to tyrosine kinase inhibitors. Results EGFR, Ki67, STAT3, stratum corneum thickness (number of layers and millimeters) from skin samples had a statistical correlation with an adequate treatment response (P = 0.025, 0.015, 0.017, 0.041, 0.039 respectively). EGFR, p27 and number of layers of the stratum corneum were related to a better median progression‐free survival (P = 0.025 and P = 0.030). Conclusions The relationship between EGFR pathway inhibition in the skin and oncological outcomes obtained explains the parallel biological effects of tyrosine kinase inhibitors. We hope that our work incites future research to help validate and assess the use of these markers as potential prognostic and predictive factors.