Comparison of PD-L1 expression in head and neck squamous cell carcinoma among preoperative biopsy, surgical resection and metastatic lymph node

Our analysis highlights the heterogeneity of PD-L1 expression across different specimen types. Significant variability exists between the preoperative biopsy and surgical resection, and between surgical resection and metastatic lymph node in patients with HNSCC. These findings suggest that PD-L1 expression varies in response to tumor microenvironment across various tumor areas and time frames. Therefore, individualized PD-L1 assessment for each specimen type is crucial for accurately determining eligibility for ICIs.

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Publication Details

Journal
Frontiers in Oncology
Published
2025-10-15
DOI
https://doi.org/10.3389/fonc.2025.1666078
Citations
4
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
4.18
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article

Comparison of PD-L1 expression in head and neck squamous cell carcinoma among preoperative biopsy, surgical resection and metastatic lymph node

Youn Soo Lee, Sang Yeon Kim, H Sohn, Meejeong Kim et al.
4 citations
Frontiers in Oncology
Cancer Immunotherapy and Biomarkers
4.18
article

Comparison of PD-L1 expression in head and neck squamous cell carcinoma among preoperative biopsy, surgical resection and metastatic lymph node

Youn Soo Lee, Sang Yeon Kim, H Sohn, Meejeong Kim, Dong-Il Sun
article en
4 citations

Abstract

Our analysis highlights the heterogeneity of PD-L1 expression across different specimen types. Significant variability exists between the preoperative biopsy and surgical resection, and between surgical resection and metastatic lymph node in patients with HNSCC. These findings suggest that PD-L1 expression varies in response to tumor microenvironment across various tumor areas and time frames. Therefore, individualized PD-L1 assessment for each specimen type is crucial for accurately determining eligibility for ICIs.

Frontiers in OncologyVol. 15
Catholic University of Korea (KR)
Openalex Percentile: Top 5%
Cancer Immunotherapy and Biomarkers
4.18
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