Correlation between human leukocyte antigen-G expression and clinical parameters in oral squamous cell carcinoma

Indian J Cancer. 2018 Oct-Dec;55(4):340-343. doi: 10.4103/ijc.IJC_602_17.

Abstract

Background: Human leukocyte antigen-G (HLA-G) is a tumor-associated molecule, whose expression may help the cancer cells to escape the immune response.

Aims: The aim of this study was to evaluate the diagnostic value of HLA-G level in oral squamous cell carcinoma (OSCC).

Materials and methods: A total of 52 patients who had definite pathological diagnosis and 20 cases of healthy controls were enrolled in this clinical trial. Immunohistochemisty (IHC) and quantitative real-time reverse transcription-polymerase chain reaction (RT-PCR) analysis were considered for HLA-G identification and multilevel validations. Statistical analysis was performed using SPSS and statistical significance was determined at P < 0.05.

Results: IHC results demonstrated that the expression of HLA-G in OSCC was strongly positive and the rate of positive expression was 55.77% (29/52), but the expression of HLA-G in healthy controls was negative (0/20). Furthermore, RT-PCR results showed that the positive expression rate of HLA-G messenger RNA was weak in healthy controls, but strong in OSCC. Besides, HLA-G expression in the tumors was significantly correlated with histological grade.

Conclusions: Our results suggested that HLA-G is associated with the prognosis of OSCC and may serve as a novel therapeutic target.

Keywords: Clinical parameters; human leukocyte antigen-G; oral squamous cell carcinoma.

Publication types

  • Clinical Trial

MeSH terms

  • Biomarkers, Tumor / metabolism*
  • Carcinoma, Squamous Cell / diagnosis*
  • Carcinoma, Squamous Cell / pathology
  • Female
  • HLA-G Antigens / genetics
  • HLA-G Antigens / metabolism*
  • Humans
  • Immunohistochemistry
  • Male
  • Mouth Neoplasms / metabolism*
  • Mouth Neoplasms / pathology
  • Neoplasm Staging
  • Predictive Value of Tests
  • Prognosis
  • RNA, Messenger / genetics*

Substances

  • Biomarkers, Tumor
  • HLA-G Antigens
  • RNA, Messenger