MAMaral Anjomanibenisi

Maral Anjomanibenisi

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Maral Anjomanibenisi has a total of 11 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Angiogenesis-related microRNAs and signalling pathways in canine mammary tumours

    by Jessica Maria Abbate, Domenico Giosa, Maral Anjomanibenisi, Francesca Arfuso, Alessia Giannetto, Anna Paola Capra, Kristian Riolo, Giovanni Lanteri, Barbara Brunetti


  • Open Access

    Differential HER2 Expression Across Feline Nasal Carcinoma and Its Relationship with Proliferation and p53 Status

    by Maral Anjomanibenisi, Ginevra Martinoli, Michele Olei, Barbara Bacci, Barbara Brunetti

    Feline nasal carcinomas are rare but clinically aggressive neoplasms. This study characterizes their histopathological features and evaluates HER2, p53, Ki-67, and PCNA expression using immunohistochemistry and digital image analysis, aiming to provide a comprehensive biological characterization with potential prognostic and therapeutic implications. Tumors were classified into adenocarcinomas (AC) and non-adenocarcinomas (non-AC). Among the 23 cases examined, adenocarcinoma was the most common subtype (17 cases). HER2 was scored as 3+ in 7 cases, 2+ in 8 cases, 1+ in 5 cases, and 3 cases were scored 0. A statistically significant association was found between histological type and HER2 expression (Fisher’s exact test, p = 0.02), with a higher prevalence of HER2 positivity in adenocarcinomas. Evaluation of p53 expression according to histological grouping showed a trend toward significance (p = 0.0593), with p53 positivity observed exclusively in non-AC. The Ki-67 index had a median of 4.4 (min 0.5, max 21.06), and the PCNA index had a median of 82.26 (min 19.55, max 100). No significant associations were identified between the Ki-67 labeling index and HER2 expression, histotype, and the inflammatory infiltrate. Finally, Pearson correlation analysis revealed no significant correlation between Ki-67 and PCNA indices (p = 0.32). The overexpression of HER2 lays the groundwork for the possible use of anti-HER2 targeted drugs in this tumor type, particularly in adenocarcinomas. These findings provide baseline immunohistochemical data for feline nasal carcinomas and highlight HER2 as a relevant biomarker for future diagnostic and therapeutic research.