Literature DB >> 33503961

PD-L1 Protein Expression in Middle Eastern Breast Cancer Predicts Favorable Outcome in Triple-Negative Breast Cancer.

Sandeep Kumar Parvathareddy1, Abdul K Siraj1, Saeeda O Ahmed1, Laila Omar Ghazwani1, Saud M Aldughaither1, Fouad Al-Dayel2, Asma Tulbah2, Dahish Ajarim3, Khawla S Al-Kuraya1.   

Abstract

Programmed cell-death ligand 1 (PD-L1) has been shown to induce potent T-cell mediated anti-tumoral immunity. The significance of PD-L1 expression in the prognosis of breast cancer (BC) remains controversial and its prevalence and prognostic value in breast cancer from Middle Eastern ethnicity is lacking. A total of 1003 unselected Middle Eastern breast cancers were analyzed for PD-L1 expression using immunohistochemistry. PD-L1 expression, seen in 32.8% (329/1003) of cases, was significantly associated with poor prognostic indicators such as younger patients, high-grade tumors, estrogen-receptor (ER)-negative, progesterone-receptor (PR)-negative, and triple-negative breast cancers (TNBC) as well as high Ki-67 index. We also found a significant association between PD-L1 expression and deficient mismatch repair protein expression. No association was found between PD-L1 expression and clinical outcome. However, on further subgroup analysis, PD-L1 expression was found to be an independent marker for favorable overall survival and recurrence-free survival in TNBC. In conclusion, we demonstrated strong association between PD-L1 and mismatch repair deficiency in Middle Eastern BC patients and that PD-L1 overexpression in tumor cells was an independent prognostic marker in TNBCs from Middle Eastern ethnicity. Overall, these findings might help in the development of more appropriate treatment strategies for BC in Middle Eastern population.

Entities:  

Keywords:  PD-L1; breast cancer; prognosis; triple negative breast cancer

Year:  2021        PMID: 33503961      PMCID: PMC7910988          DOI: 10.3390/cells10020229

Source DB:  PubMed          Journal:  Cells        ISSN: 2073-4409            Impact factor:   6.600


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