Association of high insulin receptor expression with poor prognosis in patients with breast cancer.

ABSTRACT:

Background

The aim of this study was to investigate the expression of insulin receptor (IR) in the blood vessels of patients with breast cancer (BC) with or without type 2 diabetes mellitus (DM2) and its relationship with histopathological features of BC tissues and patient prognosis.

Methods

A total of 124 patients with BC diagnosed and treated at The Affiliated Hospital of Putian University between January 2018 and January 2019 were eligible for this study. According to the presence or absence of DM2, they were then divided into 2 groups: patients with BC and DM2 (DBC group, n=26) and patients with BC and without DM2 (BC group, n=98). The expression of IR in the cancer and adjacent tissues was detected using immunohistochemistry. The patients were followed up for 1 year. Kaplan-Meier analysis was used to compute the overall survival (OS) of the patients with BC. Furthermore, Cox regression was employed to investigate the correlation of IR expression with DM2, pathological tissue, TNM stage, and OS.

Results

IR expression in cancer tissues (34.7%) was significantly higher than that in adjacent normal tissues (15.3%). Among cancer tissues, IR was highly expressed in DBC tissues (57.7%) compared with BC tissues (28.6%). IR was also highly expressed in patients with tumor infiltration and lymphatic metastasis. Its expression was significantly correlated with T stage and N stage, but not with M stage. In addition, patients with high IR expression had significantly lower survival than did those with low IR expression. Moreover, univariate and multivariate Cox regression analysis indicated that tumor infiltration, lymphatic metastasis, tumor size, T stage, and high IR expression were independent risk factors for BC prognosis.

Conclusions

High IR expression was associated with poor prognosis of patients with BC. The expression of IR may be a promising indicator to assess the survival of patients with BC.

SUBMITTER: Chen Y 

PROVIDER: S-EPMC10005982 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature