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Zhang Y, Xie J, Wu H, Huang J, Zheng D, Wang S, Jia X, He Z, Gong Y, Ju L, Sun Q. NK cell based immunotherapy against oral squamous cell carcinoma. Front Immunol 2024; 15:1440764. [PMID: 39192980 PMCID: PMC11347299 DOI: 10.3389/fimmu.2024.1440764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2024] [Accepted: 07/29/2024] [Indexed: 08/29/2024] Open
Abstract
Oral squamous cell carcinoma (OSCC), a major subtype of head and neck cancers, presents significant challenges due to its aggressive feature and limited therapeutic efficacy of conventional treatments. In response to these challenges, Natural Killer (NK) cells, a vital component of the innate immune system, are being explored for their therapeutic potential in OSCC due to their inherent ability to target and eliminate cancer cells without prior sensitization. This review uniquely focuses on the evolving role of NK cells specifically in OSCC, incorporating recent advancements in CAR-NK cell engineering and personalized therapy approaches that have not been comprehensively covered in previous reviews. The mechanisms through which NK cells exert cytotoxic effects on tumor cells include direct killing through the engagement of natural cytotoxic receptors and antibody-dependent cellular cytotoxicity (ADCC), making them promising agents in cancer immunotherapy. Additionally, the article explores recent advancements in engineering NK cells to enhance their antitumor activity, such as the modification with chimeric antigen receptors (CARs) to target specific tumor antigens. Clinical implications of NK cell-based therapies, including the challenges of integrating these treatments with existing protocols and the potential for personalized therapy, are examined. The review highlights the promise of NK cell therapies in improving outcomes for OSCC patients and outlines future directions for research in this dynamic field of oncological immunotherapy.
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Affiliation(s)
- Ying Zhang
- Department of Stomatology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
| | - Jianming Xie
- Department of Otolaryngology & Head and Neck Surgery, Anyuan People’s hospital, Ganzhou, China
| | - Haoran Wu
- Southern Medical University, Guangzhou, Guangdong, China
| | - Jinhui Huang
- Southern Medical University, Guangzhou, Guangdong, China
| | - Danna Zheng
- Southern Medical University, Guangzhou, Guangdong, China
| | - Shaotong Wang
- Southern Medical University, Guangzhou, Guangdong, China
| | - Xueqiang Jia
- Southern Medical University, Guangzhou, Guangdong, China
| | - Zongzhong He
- Department of Transfusion Medicine, General Hospital of Southern Theatre Command, Guangzhou, Guangdong, China
| | - Ying Gong
- Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Linling Ju
- Medical School of Nantong University, Nantong Third People’s Hospital, Affiliated Nantong Hospital 3 of Nantong University, Nantong, China
| | - Qiurong Sun
- Department of Stomatology, The First Affiliated Hospital of Gannan Medical University, Ganzhou, Jiangxi, China
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Peng J, Zou D, Han L, Yin Z, Hu X. A Support Vector Machine Based on Liquid Immune Profiling Predicts Major Pathological Response to Chemotherapy Plus Anti-PD-1/PD-L1 as a Neoadjuvant Treatment for Patients With Resectable Non-Small Cell Lung Cancer. Front Immunol 2021; 12:778276. [PMID: 35095850 PMCID: PMC8797141 DOI: 10.3389/fimmu.2021.778276] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 11/30/2021] [Indexed: 01/08/2023] Open
Abstract
The biomarkers for the pathological response of neoadjuvant chemotherapy plus anti-programmed cell death protein-1/programmed cell death-ligand 1 (PD-1/PD-L1) (CAPD) are unclear in non-small cell lung cancer (NSCLC). Two hundred and eleven patients with stage Ib-IIIa NSCLC undergoing CAPD prior to surgical resection were enrolled, and 11 immune cell subsets in peripheral blood were prospectively analyzed using multicolor flow cytometry. Immune cell subtypes were selected by recursive feature elimination and least absolute shrinkage and selection operator methods. The support vector machine (SVM) was used to build a model. Multivariate analysis for major pathological response (MPR) was also performed. Finally, five immune cell subtypes were identified and an SVM based on liquid immune profiling (LIP-SVM) was developed. The LIP-SVM model achieved high accuracies in discovery and validation sets (AUC = 0.886, 95% CI: 0.823–0.949, P < 0.001; AUC = 0.874, 95% CI: 0.791–0.958, P < 0.001, respectively). Multivariate analysis revealed that age, radiological response, and LIP-SVM were independent factors for MPR in the two sets (each P < 0.05). The integration of LIP-SVM, clinical factors, and radiological response showed significantly high accuracies for predicting MPR in discovery and validation sets (AUC = 0.951, 95% CI: 0.916–0.986, P < 0.001; AUC = 0.943, 95% CI: 0.912–0.993, P < 0.001, respectively). Based on immune cell profiling of peripheral blood, our study developed a predictive model for the MPR of patients with NSCLC undergoing CAPD treatment that can potentially guide clinical therapy.
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Affiliation(s)
- Jie Peng
- Department of Oncology, The Second Affiliated Hospital, Guizhou Medical University, Kaili, China
- Department of Radiation Oncology, Cancer Hospital of the University of Chinese Academy of Sciences, Hanzhou, China
- *Correspondence: Jie Peng,
| | - Dan Zou
- Department of Oncology, The Second Affiliated Hospital, Guizhou Medical University, Kaili, China
| | - Lijie Han
- Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Zuomin Yin
- Department of Radiation Oncology, Cancer Hospital of the University of Chinese Academy of Sciences, Hanzhou, China
| | - Xiao Hu
- Department of Radiation Oncology, Cancer Hospital of the University of Chinese Academy of Sciences, Hanzhou, China
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