Litcius/Paper detail

The clinicopathological features of programmed death ligand-1 expression in colorectal carcinoma

Ghada N. Al-Jussani, Anas Alsughayer, Mustafa S. Yousuf, Yaseen Mullahuwash, Tamara Z. Dabbagh, Maher A. Sughayer

2022The International Journal of Biological Markers20 citationsDOIOpen Access PDF

Abstract

Background Few studies have addressed the clinicopathological features of colorectal cancer (CRC) that express programed death-ligand 1 (PD-L1). Various assays and scoring methodologies were used and thus inconsistent results were obtained. In this study, we aimed to investigate the relationship of PD-L1 expression in CRC with various clinicopathological variables using a standardized assay and scoring algorithm. Design Tissue microarrays were constructed from 91 random cases of CRC diagnosed at King Hussein Cancer Center (KHCC). Immunohistochemical (IHC) staining using the monoclonal antibody 22C3 was performed. Scoring using the standard “Combined Positive Score” (CPS) method was done. CPS of ≥1 was considered positive. Various clinicopathological features were collected from the medical records of the patients. Results Of the 91 cases, 49 (53.8%) were PD-L1 positive (CPS ≥1). PD-L1 expression was more frequent among moderately differentiated carcinomas (43 of 72 (59.7%) were positive compared to 6 of 19 (31.5%) poorly differentiated cases ( P = 0.029)); among node negative cases (21 of 24 (87.5%) N0 cases were PD-L1 positive in contrast to 28 of 67 (41.8%) N1/N2 cases ( P = <0.001)); among mucinous subtype (12 of 15 (80%) of cases ( P = 0.02)); and among mismatch repair deficient (dMMR) (16 of 16 (100%) versus 11 of 30 (36.6%) MMR proficient ( P = <0.001)). Age, gender, localization, and T or M stages were not significantly associated with PD-L1 expression. Conclusion PD-L1 expression in CRC is associated with favorable prognostic features; namely, lower grade, N0, mucinous variant, and dMMR tumors.

Topics & Concepts

ImmunohistochemistryColorectal cancerMedicineTissue microarrayInternal medicineCancerOncologyPathologyCancer Immunotherapy and BiomarkersMelanoma and MAPK PathwaysFerroptosis and cancer prognosis