Your browser doesn't support javascript.
loading
Programmed Death-Ligand 1 (PD-L1) Positivity and Factors Associated with Poor Prognosis in Patients with Gastric Cancer: An Umbrella Meta-Analysis.
Hassen, Gashaw; Kasar, Amita; Jain, Nidhi; Berry, Shivankshi; Dave, Jhanvi; Zouetr, Michlene; Priyanka Ganapathiraju, V Lakshmi N; Kurapati, Tejaswini; Oshai, Stephanie; Saad, Mohamed; Pathan, Jahangirkhan; Kamat, Sheetal; Tirupathi, Raghavendra; Patel, Urvish K; Rana, Rishabh K.
Afiliação
  • Hassen G; Progressive Care, Mercy Medical Center, Baltimore, USA.
  • Kasar A; Medicine and Surgery, Parma University, Parma, ITA.
  • Jain N; Medicine, Addis Ababa University, Addis Ababa, ETH.
  • Berry S; Internal Medicine, Krishna Institute of Medical Sciences, Secunderabad, IND.
  • Dave J; Medicine and Surgery, Himalayan Institute of Medical Sciences, Dehradun, IND.
  • Zouetr M; Hematology and Oncology, Brooklyn Cancer Care, Brooklyn, USA.
  • Priyanka Ganapathiraju VLN; Internal Medicine, Sir Ganga Ram Hospital, New Delhi, IND.
  • Kurapati T; Internal Medicine, Dayanand Medical College and Hospital, Ludhiana, IND.
  • Oshai S; Internal Medicine, Nassau University Medical Center, New York, USA.
  • Saad M; Internal Medicine, B.J. Medical College, Ahmedabad, IND.
  • Pathan J; Family Medicine, American Institute of Antigua College of Medicine, St John's, ATG.
  • Kamat S; Medicine and Surgery, Rangaraya Medical College, Kakinada, IND.
  • Tirupathi R; Medicine and Surgery, Narayana Medical College, Nellore, IND.
  • Patel UK; Medicine and Surgery, College of Medicine, University of Lagos, Lagos, NGA.
  • Rana RK; Gastroenterology, Theodor Bilharz Research Institute, Giza, EGY.
Cureus ; 14(4): e23845, 2022 Apr.
Article em En | MEDLINE | ID: mdl-35530821
ABSTRACT
Gastric cancer (GC) is one of the most common malignancies throughout the world with late diagnosis and poor prognosis. The expression of programmed death-ligand 1 (PD-L1) in GC is attributed to immune evasion and tumor progression. PD-L1 positivity has both predictive and prognostic biomarker potential. Aiming to summarize a large amount of research and to provide a definitive conclusion to the conflicting results on the prognostic significance of PD-L1 expression in GC, we performed an umbrella review based on existing meta-analyses which were published recently (2016-2021) and indexed in the PubMed database. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was used in August 2021 to screen articles, and data extraction with quality assessment was performed on the selected meta-analyses. Review Manager (RevMan) 5.3 software was used to analyze the HR and OR with a 95% confidence interval (CI) among PD-L1 positive GC patients. We also assessed the between-study heterogeneity (I 2). Forest and Funnel plots were obtained, and a P-value of <0.05 was considered statistically significant. A total of 567 articles were screened, and we selected three meta-analyses with a total of 40 studies conducted over a period of 14 years. In our umbrella review, a total of 8,419 GC patients with an average PD-L1 positivity of 39% were analyzed. We found that PD-L1 positivity in GC patients is associated with poor prognosis (pooled HR =1.44, 95% CI 1.24-1.68, P<0.00001) having higher mortality reducing the chances of overall survival (OS). However, there are no significant differences in PD-L1 expression among different lymph node (LN) metastases (OR=1.31, 95% CI 0.98-1.74, P=0.07) and tumor, node, and metastasis (TNM) stages (OR=1.13, 95% CI 0.80-1.58, P=0.50). Early identification of PD-L1 expression may help tailor cost-effective and targeted immunotherapy among GC patients. More research is needed to further understand how PD-L1 affects LN metastasis and tumor invasion.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies / Systematic_reviews Idioma: En Ano de publicação: 2022 Tipo de documento: Article