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PD-L1 is highly expressed in ovarian cancer and associated with cancer stem cells populations expressing CD44 and other stem cell markers.
Alwosaibai, Kholoud; Aalmri, Salmah; Mashhour, Miral; Ghandorah, Salim; Alshangiti, Abdulraheem; Azam, Faisal; Selwi, Waleed; Gharaibeh, Lubna; Alatawi, Yasser; Alruwaii, Zainab; Alsaab, Hashem O.
Afiliação
  • Alwosaibai K; Research Center, Biomedical Research Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia. Kh20978@gmail.com.
  • Aalmri S; Research Center, Biomedical Research Department, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
  • Mashhour M; Department of Pathology and Lab Medicine, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
  • Ghandorah S; Department of Pathology and Lab Medicine, King Fahad Specialist Hospital, Dammam, Saudi Arabia.
  • Alshangiti A; Department of Medical Oncology, King Fahad Specialist Hospital-Dammam, Dammam, Saudi Arabia.
  • Azam F; Department of Medical Oncology, King Fahad Specialist Hospital-Dammam, Dammam, Saudi Arabia.
  • Selwi W; Department of Medical Oncology, King Fahad Specialist Hospital-Dammam, Dammam, Saudi Arabia.
  • Gharaibeh L; Pharmacological and Diagnostic Research Center, Faculty of Pharmacy, Al-Ahliyya Amman University, Amman, Jordan.
  • Alatawi Y; Department of Pharmacy Practice, Faculty of Pharmacy, University of Tabuk, Tabuk, Saudi Arabia.
  • Alruwaii Z; Department of Anatomic Pathology, Dammam Regional Laboratory and Blood Bank, Dammam, Saudi Arabia.
  • Alsaab HO; Department of Pharmaceutics and Pharmaceutical Technology, Taif University, P.O BOX 11099, Taif, Saudi Arabia.
BMC Cancer ; 23(1): 13, 2023 Jan 05.
Article em En | MEDLINE | ID: mdl-36604635
ABSTRACT

BACKGROUND:

Immune checkpoint inhibitors, including PD-L1 (programmed death ligand-1) inhibitors have well documented anticancer therapeutic effect in most types of cancers but its use in the treatment of ovarian cancer is not yet proven. The aim of our study is to explore the predictive biomarkers in ovarian cancer and its association with the outcomes. We have investigated the role of PD-L1 expressions in the tumor microenvironment cells including immune cells and cancer stem cells in different types of ovarian cancer.

METHODS:

A total of 119 surgical archived ovarian cancer samples were collected from the pathology department at King Fahad Specialist Hospital, Dammam, Saudi Arabia that included serous carcinomas, clear cell carcinomas, mucinous carcinomas, endometrioid carcinomas, and granulosa cell tumors. Immunohistochemistry (IHC) staining was performed using (i) PD-L1 antibodies to detect PD-L1 expressions; (ii) CD8 and CD4 to detect Tumor Infiltrating Lymphocytes (TILs); and (iii) CD44, LGR5, and ALDH2 to detect stem cell markers. The clinicopathological data were collected from patients' medical record to investigate the association with PD-L1, TILs, and stem cells expressions.

RESULTS:

We report high PD-L1 expressions in 47.8% of ovarian cancer samples. PD-L1 expressions were detected in different types of epithelial ovarian cancer and were not associated with poor prognosis of ovarian cancer. However, determining the expression levels of TILs in the ovarian cancer tissues found that 81% (n = 97) of ovarian cancer samples have TILs that express both of CD8 and CD4 and significantly associated with high PD-L1 expressions. Interestingly, we have found that ovarian cancer tissues with high expressions of PD-L1 were associated with high expressions of stem cells expressing CD44 and LGR5.

CONCLUSIONS:

PD-L1 is highly expressed in the serous type of ovarian carcinomas and the overall expression of PD-L1 is not associated with poor survival rate. Furthermore, PD-L1 expressions are strongly associated with TILs and stem cell markers in ovarian cancer. Inhibiting the PD-L1 using immune checkpoint inhibitors might downregulate stem cell population that known to be associated with cancer recurrence.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Female / Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article