J Pathol Transl Med.  2024 Mar;58(2):49-58. 10.4132/jptm.2024.01.31.

Exploring histological predictive biomarkers for immune checkpoint inhibitor therapy response in non–small cell lung cancer

Affiliations
  • 1Department of Pathology, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea
  • 2Division of Medical Oncology, Department of Internal Medicine, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Korea

Abstract

Treatment challenges persist in advanced lung cancer despite the development of therapies beyond the traditional platinum-based chemotherapy. The early 2000s marked a shift to tyrosine kinase inhibitors targeting epidermal growth factor receptor, ushering in personalized genetic-based treatment. A further significant advance was the development of immune checkpoint inhibitors (ICIs), especially for non–small cell lung cancer. These target programmed death-ligand 1 (PD-L1) and cytotoxic T lymphocyte antigen 4, which enhanced the immune response against tumor cells. However, not all patients respond, and immune-related toxicities arise. This review emphasizes identifying biomarkers for ICI response prediction. While PD-L1 is a widely used, validated biomarker, its predictive accuracy is imperfect. Investigating tumor-infiltrating lymphocytes, tertiary lymphoid structure, and emerging biomarkers such as high endothelial venule, Human leukocyte antigen class I, T-cell immunoreceptors with Ig and ITIM domains, and lymphocyte activation gene-3 counts is promising. Understanding and exploring additional predictive biomarkers for ICI response are crucial for enhancing patient stratification and overall care in lung cancer treatment.

Keyword

Non-small cell lung carcinoma; Immune-checkpoint inhibitor; Biomarkers

Figure

  • Fig. 1. Predictive biomarkers for immune checkpoint inhibitor therapy in non–small cell lung cancer that could be observed through histological or immunohistochemical observations. CTLA-4, cytotoxic T lymphocyte antigen 4; HLA, human leukocyte antigen; LAG-3, lymphocyte activation gene-3; NK, natural killer; PD-1, programmed death-1; PD-L1, programmed death-ligand 1; TCR, T-cell receptor; TIGIT, T-cell immunoreceptors with Ig and ITIM domains; TIM-3, T cell immunoglobulin and mucin domain-3; Treg, regulatory T cells; VISTA, V-domain immunoglobulin suppressor of T cell activation.

  • Fig. 2. (A) Lung adenocarcinoma tumor cells are expressing programmed death-ligand 1 (PD-L1). PD-L1 is the most validated predictive biomarker of immune checkpoint inhibitors for patients with lung non-small cell carcinoma (PD-L1 clone SP263). (B) Lymphoid aggregate within lung adenocarcinoma forms a tertiary lymphoid structure. (C) The high endothelial venules are identified through positive staining with MECA-79 antibody (MECA-79 staining).


Reference

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