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Updated: Sep 13, 2025

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells
Published on: February 8, 2018
Association of PD-L1 Expression With Tertiary Lymphoid Structures and Prognosis in Oral Cancer
Emi Saitou1,2, Mai Seki1,2, Takaaki Sano1
1Department of Diagnostic Pathology, GunmaUniversity Graduate School of Medicine, Maebashi, Gunma, Japan.
Tertiary lymphoid structures (TLSs) presence and programmed death-ligand 1 (PD-L1) expression in oral squamous cell carcinoma (OSCC) impact patient survival. High PD-L1 with TLSs indicates better outcomes, while low PD-L1 with TLSs suggests poorer prognosis.
Area of Science:
- Oncology
- Immunology
- Pathology
Background:
- Tertiary lymphoid structures (TLSs) are present in invasive malignancy regions.
- The prognostic role of TLSs in oral squamous cell carcinoma (OSCC) remains incompletely understood.
- Programmed death-ligand 1 (PD-L1) is a key immune checkpoint molecule implicated in cancer progression.
Purpose of the Study:
- To investigate the relationship between PD-L1 expression and TLSs in OSCC.
- To determine the combined prognostic significance of PD-L1 and TLSs in OSCC patients.
- To explore the potential functional heterogeneity of TLSs based on PD-L1 status.
Main Methods:
- Analysis of 280 oral squamous cell carcinoma (OSCC) cases.
- Immunohistochemical assessment of PD-L1 expression in tumor biopsies and surgical specimens.
- Immune cell staining in cases with identified TLSs.
Main Results:
- High PD-L1 expression combined with TLSs showed significantly improved overall survival (p < 0.05).
- Low PD-L1 expression coupled with TLSs was significantly associated with poorer overall survival (p < 0.05).
- These findings highlight a dichotomous prognostic impact of TLSs dependent on PD-L1 levels.
Conclusions:
- In OSCC, TLSs associated with high PD-L1 expression predict a favorable prognosis.
- Conversely, TLSs with low PD-L1 expression correlate with significantly worse outcomes.
- TLSs in OSCC may exhibit functional heterogeneity, influencing prognosis based on PD-L1 expression levels.
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