p-S6 as a Prognostic Biomarker in Canine Oral Squamous Cell Carcinoma

Biomolecules. 2022 Jul 4;12(7):935. doi: 10.3390/biom12070935.

Abstract

Scarce information exists on the role of mTOR pathway proteins and their association to aggressiveness and prognosis of patients with canine oral cancers. We aimed to investigate the activated form of mTOR and its downstream S6 protein in canine oral squamous cell carcinoma (OSCC), and to evaluate potential associations between protein expression and clinic-pathologic variables and survival. For that we analysed p-mTOR and p-S6 protein expression by immunohistochemistry in 61 canine OSCCs. Multivariate analysis was conducted to examine their role in patients' cancer-specific survival (CSS). p-mTOR and p-S6 expression were present in almost all cases. High-expression of p-mTOR was observed in 44 (72.1%) cases using extent score and 52 (85.2%) cases using intensity score. For p-S6, high expression was observed in 53 (86.9%) cases using extent score and in 54 (88.5%) cases using intensity score. An independent prognostic value for p-S6 extension (p = 0.027), tumour stage (p = 0.013) and treatment (p = 0.0009) was found in patients' CSS analysis. Our data suggest that p-mTOR and p-S6 proteins are commonly expressed in canine OSCC and p-S6 expression is correlated with poor CSS in dogs with OSCC. More studies should be performed to identify possible therapeutic targets related with mTOR pathway for these patients.

Keywords: oral cancer; p-mTOR and p-S6 expression; prognostic markers; survival.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Biomarkers
  • Biomarkers, Tumor / metabolism
  • Carcinoma, Squamous Cell* / metabolism
  • Dogs
  • Head and Neck Neoplasms*
  • Mouth Neoplasms* / metabolism
  • Mouth Neoplasms* / veterinary
  • Prognosis
  • Squamous Cell Carcinoma of Head and Neck
  • TOR Serine-Threonine Kinases / metabolism

Substances

  • Biomarkers
  • Biomarkers, Tumor
  • TOR Serine-Threonine Kinases

Grants and funding

The participation of Justina Prada and Isabel Pires were supported by the projects UIDB/CVT/00772/2020 and LA/P/0059/2020 funded by the Portuguese Foundation for Science and Technology (FCT). The research uses some material from the project grant IPO2021_PI2RL_IINFACTS_2021 from CESPU University.