Literature DB >> 31907776

Caveolin-1 Expression at Metastatic Lymph Nodes Predicts Unfavorable Outcome in Patients with Oral Squamous Cell Carcinoma.

Koroku Kato1, Hiroki Miyazawa2, Hisano Kobayashi2, Natsuyo Noguchi2, Daniel Lambert3, Shuichi Kawashiri2.   

Abstract

We evaluated the clinical and prognostic value of the protein expression of caveolin-1 (CAV1) and p16 at the primary site and metastatic lymph nodes of oral squamous cell carcinoma (OSCC). Primary site specimens from 80 OSCC cases were randomly selected and lymph node specimens from 15 preserved metastatic lymph nodes from among those patients were selected for examination. We evaluated the CAV1 and p16 expression at both the primary site and metastatic lymph nodes, and analyzed the patients' clinicopathological data in relation to CAV1 and p16 expression. Our analysis revealed significant positive correlations between CAV1 expression at the primary site and pathological metastasis, cell differentiation, and mode of invasion (p = 0.019, p = 0.002, p = 0.015, respectively), but p16 expression was not associated with any clinicopathological factors. Patients with high CAV1 expression at the primary sites showed significantly worse prognoses than those with low or negative CAV1 expression (p = 0.002), and multivariate analysis showed that the T classification and CAV1 expression were independent OSCC prognostic factors. CAV1 expression was also present in the metastatic lymph nodes of the OSCC cases with particularly poor differentiation and high invasive grade, and patients with CAV1-positive metastatic lymph nodes showed significantly worse prognoses than those with CAV1-negative metastatic lymph nodes (p = 0.018). CAV1 may activate metastaticity and the invasive capacity of OSCC cells. CAV1 expression, particularly at metastatic lymph nodes, predicts a worse outcome for OSCC, suggesting that CAV1 could be used as a prognostic marker for OSCC.

Entities:  

Keywords:  Caveolin-1; Metastatic lymph node; Oral squamous cell carcinoma; Prognosis; p16

Mesh:

Substances:

Year:  2020        PMID: 31907776     DOI: 10.1007/s12253-019-00791-1

Source DB:  PubMed          Journal:  Pathol Oncol Res        ISSN: 1219-4956            Impact factor:   3.201


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