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- Exploring histological predictive biomarkers for immune checkpoint inhibitor therapy response in non–small cell lung cancer
- Uiju Cho, Soyoung Im, Hyung Soon Park
- J Pathol Transl Med. 2024;58(2):49-58. Published online February 26, 2024
- DOI: https://doi.org/10.4132/jptm.2024.01.31
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Abstract
PDF - 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.
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Citations
Citations to this article as recorded by
- Machine learning methods for histopathological image analysis: Updates in 2024
Daisuke Komura, Mieko Ochi, Shumpei Ishikawa
Computational and Structural Biotechnology Journal.2025; 27: 383. CrossRef - Beyond single biomarkers: multi-omics strategies to predict immunotherapy outcomes in blood cancers
Mohammad Pirouzbakht, Soroosh Hamzeh, Hamed Soleimani Samarkhazan
Clinical and Experimental Medicine.2025;[Epub] CrossRef - Temporal changes in tongue color during immune checkpoint inhibitor therapy in patients with non-small-cell lung cancer: a prospective observational study using digital tongue diagnosis
Eunbyul Cho, Woosu Choi, Jun Hyeok Lim, Ji Woong Son, Seung Hun Jang, Seung Hyeun Lee, Jong Gwon Choi, In-Jae Oh, Tae-Won Jang, Seong Hoon Yoon, Seung Joon Kim, Chang-Min Choi, Sung Yong Lee, Mi Mi Ko, Mi-Kyung Jeong
Oncology Reviews.2025;[Epub] CrossRef
- Machine learning methods for histopathological image analysis: Updates in 2024
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