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Elevated PD-L1 expression predicts poor survival outcomes in patients with cervical cancer.
Gu, Xiaobin; Dong, Meilian; Liu, Zheyan; Mi, Yin; Yang, Jing; Zhang, Zhigang; Liu, Ke; Jiang, Li; Zhang, Yue; Dong, Shiliang; Shi, Yonggang.
Afiliação
  • Gu X; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Dong M; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Liu Z; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Mi Y; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Yang J; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Zhang Z; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Liu K; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Jiang L; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Zhang Y; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Dong S; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
  • Shi Y; Department of Radiation Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou University, Zhengzhou, 450000 Henan People's Republic of China.
Cancer Cell Int ; 19: 146, 2019.
Article em En | MEDLINE | ID: mdl-31143091
ABSTRACT

BACKGROUND:

Programmed cell death ligand 1 (PD-L1) expression has been shown to associate with poor prognosis in a variety of solid tumors. However, the prognostic value of PD-L1 expression in cervical cancer is still controversial. Therefore, we carried a meta-analysis to investigate the prognostic and clinicopathological impact of PD-L1 in cervical cancer.

METHODS:

A comprehensive literature search in was performed in PubMed, Embase, Web of Science, and Cochrane Library. The correlation between PD-L1 expression and overall survival (OS), progression-free survival (PFS), and clinicopathological features was analyzed by hazard ratios (HR), odds ratios (OR) and corresponding 95% confidence intervals (CI).

RESULTS:

Seven studies with 783 patients were included in this meta-analysis. The combined HR and 95% CI of OS was 2.52 (1.09-5.83), p = 0.031. The pooled results for PFS were HR = 2.07, 95% CI = 0.52-8.23, p = 0.302. The results of subgroup analysis showed that PD-L1 was a significant prognostic factor of poor OS in Asian patients (HR = 4.77, 95% CI = 3.02-7.54, p < 0.001) and of poor PFS in Asian patients (HR = 4.78, 95% CI = 1.77-12.91, p = 0.002). However, the pooled results suggested that PD-L1 was not significantly correlated with lymph node metastasis, tumor size, FIGO stage, depth of invasion, lymph-vascular invasion, or age.

CONCLUSIONS:

The results of this meta-analysis suggest that PD-L1 overexpression is related to poor OS in patients with cervical cancer and poor PFS in Asian patients with cervical cancer. This study also suggests that PD-L1 is a promising prognostic indicator for cervical cancer.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Cancer Cell Int Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Revista: Cancer Cell Int Ano de publicação: 2019 Tipo de documento: Article
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