Beyond Co-Expression: Unraveling the Complex Relationship Between PD-L1 and Tumor-Infiltrating Lymphocytes in Basal Cell Carcinoma Subtypes

Background: Basal cell carcinoma (BCC) is the most prevalent non-melanoma skin cancer, characterized by high recurrence rates. Immunotherapy, particularly targeting the Programmed Death-1 (PD-1)/Programmed Death-Ligand 1 (PD-L1) axis, offers a promising therapeutic avenue. The interplay between PD-L1 expression on tumor and immune cells and the nature of Tumor-Infiltrating Lymphocytes (TILs) is crucial for immune response, yet their relationship in BCC, especially across diverse histological subtypes, remains incompletely understood. This study aimed to investigate the correlation between PD-L1 expression and TILs density in various BCC subtypes, seeking to elucidate the complexities of their interaction within the tumor microenvironment. Methods: This analytical observational study utilized a cross-sectional design, analyzing 20 archived paraffin-embedded BCC tissue samples from Dr. Saiful Anwar Regional General Hospital Malang. PD-L1 expression was assessed by immunohistochemistry using the 22c3 clone and evaluated via the Combined Positive Score (CPS). TILs were semi-quantitatively assessed as percentage infiltration and categorized into low, moderate, and high grades. Histological subtypes of BCC were documented. Spearman correlation was used to analyze the relationship between PD-L1 expression and TILs. Results: Of the 20 BCC cases, 55% exhibited PD-L1 positivity (CPS ≥ 1). TILs infiltration was predominantly moderate (70%), with 25% high and 5% low. The cohort included nodular (40%), infiltrating (35%), and basosquamous (25%) as the main subtypes, with specific variants also analyzed. Basosquamous BCC consistently showed positive PD-L1 expression (100% of its cases positive), while nodular and infiltrating subtypes displayed varied PD-L1 expression. TILs distribution also varied across subtypes, with nodular BCC exhibiting the full range from low to high TILs. Overall, no significant correlation was observed between PD-L1 expression and TILs density (Spearman's r = -0.077, p = 0.747). Conclusion: This study confirms PD-L1 expression and TILs presence in BCC but reveals no direct linear correlation between them across the cohort, even when considering broad subtypes. Basosquamous BCC consistently expressed PD-L1. The lack of overall correlation suggests a complex, potentially subtype-specific interplay within the BCC tumor microenvironment, warranting further investigation into functional TILs subsets and other immune modulators.

Authors

Institutions

Publication Details

Journal
Bioscientia Medicina Journal of Biomedicine and Translational Research
Published
2025-06-03
DOI
https://doi.org/10.37275/bsm.v9i8.1354
Primary Topic
Nonmelanoma Skin Cancer Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Beyond Co-Expression: Unraveling the Complex Relationship Between PD-L1 and Tumor-Infiltrating Lymphocytes in Basal Cell Carcinoma Subtypes

Rachmad Sarwo Bekti, Kenty Wantri Anita, Diah Prabawati Retnani, Fitria Mayasari
Bioscientia Medicina Journal of Biomedicine and Translational Research
Nonmelanoma Skin Cancer Studies
article

Beyond Co-Expression: Unraveling the Complex Relationship Between PD-L1 and Tumor-Infiltrating Lymphocytes in Basal Cell Carcinoma Subtypes

Rachmad Sarwo Bekti, Kenty Wantri Anita, Diah Prabawati Retnani, Fitria Mayasari
article en

Abstract

Background: Basal cell carcinoma (BCC) is the most prevalent non-melanoma skin cancer, characterized by high recurrence rates. Immunotherapy, particularly targeting the Programmed Death-1 (PD-1)/Programmed Death-Ligand 1 (PD-L1) axis, offers a promising therapeutic avenue. The interplay between PD-L1 expression on tumor and immune cells and the nature of Tumor-Infiltrating Lymphocytes (TILs) is crucial for immune response, yet their relationship in BCC, especially across diverse histological subtypes, remains incompletely understood. This study aimed to investigate the correlation between PD-L1 expression and TILs density in various BCC subtypes, seeking to elucidate the complexities of their interaction within the tumor microenvironment. Methods: This analytical observational study utilized a cross-sectional design, analyzing 20 archived paraffin-embedded BCC tissue samples from Dr. Saiful Anwar Regional General Hospital Malang. PD-L1 expression was assessed by immunohistochemistry using the 22c3 clone and evaluated via the Combined Positive Score (CPS). TILs were semi-quantitatively assessed as percentage infiltration and categorized into low, moderate, and high grades. Histological subtypes of BCC were documented. Spearman correlation was used to analyze the relationship between PD-L1 expression and TILs. Results: Of the 20 BCC cases, 55% exhibited PD-L1 positivity (CPS ≥ 1). TILs infiltration was predominantly moderate (70%), with 25% high and 5% low. The cohort included nodular (40%), infiltrating (35%), and basosquamous (25%) as the main subtypes, with specific variants also analyzed. Basosquamous BCC consistently showed positive PD-L1 expression (100% of its cases positive), while nodular and infiltrating subtypes displayed varied PD-L1 expression. TILs distribution also varied across subtypes, with nodular BCC exhibiting the full range from low to high TILs. Overall, no significant correlation was observed between PD-L1 expression and TILs density (Spearman's r = -0.077, p = 0.747). Conclusion: This study confirms PD-L1 expression and TILs presence in BCC but reveals no direct linear correlation between them across the cohort, even when considering broad subtypes. Basosquamous BCC consistently expressed PD-L1. The lack of overall correlation suggests a complex, potentially subtype-specific interplay within the BCC tumor microenvironment, warranting further investigation into functional TILs subsets and other immune modulators.

Bioscientia Medicina Journal of Biomedicine and Translational ResearchVol. 9(8)
University of Brawijaya (ID)
Openalex Percentile: Top 82%
Nonmelanoma Skin Cancer Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.