8. Development of a procedure to evaluate mRNA expression of the ifnγ gene in cultured gamma delta T cells from lung cancer patients utilizing real-time PCR method

Nguyen Thi Thuy Mau, Dao Xuan Dat, Tran Van Khanh, Tran Huy Thinh, Ho My Dung, Do Thi Le Hang, Nguyen Thanh Binh

Main Article Content

Abstract

This study aimed to develop a procedure for evaluating the mRNA expression of the IFNγ gene in cultured γδT cells derived from lung cancer patients using Real-time PCR technique. This serves as a preliminary step to support the role of γδT cells and the IFNγ cytokine in autologous immune cell therapy for lung cancer in Vietnam. The study was conducted on 10 peripheral blood samples collected from patients with non-small cell lung cancer. γδT cells were isolated and cultured for 14 days. Total RNA was then extracted, reverse-transcribed into cDNA, and analyzed using semi-quantitative Real-time PCR to assess IFNγ gene expression. Gene expression was compared between day 0 and day 14 of culture. The results showed a significant increase in IFNγ mRNA expression after 14 days of γδT cell culture, with an average fold change of 3.21 ± 1.42 compared to pre-culture levels. The optimal annealing temperature was determined to be 550C, and the most effective primer concentrations were 14.2 pmol/μl for β-actin and 12 pmol/μl for IFNγ, yielding clear, specific bands and consistent expression data. A reliable procedure for evaluating IFNγ mRNA expression in cultured γδT cells using Real-time PCR was successfully established.

Article Details

References

1. Sanz M, Mann BT, Ryan PL, et al. Deep characterization of human γδ T cell subsets defines shared and lineage-specific traits. Front Immunol. 2023; 14: 1148988. doi:10.3389/fimmu.2023.1148988.
2. Narayan K, Sylvia KE, Malhotra N, et al. Intrathymic programming of effector fates in three molecularly distinct γδ T cell subtypes. Nat Immunol. 2012; 13(5): 511-518. doi:10.1038/ni.2247.
3. Silva-Santos B, Mensurado S, Coffelt SB. γδ T cells: pleiotropic immune effectors with therapeutic potential in cancer. Nat Rev Cancer. 2019; 19(7): 392-404. doi:10.1038/s41568- 019-0153-5.
4. Subhi-Issa N, Tovar Manzano D, Pereiro Rodriguez A, Sanchez Ramon S, Perez Segura P, Ocaña A. γδ T Cells: Game Changers in Immune Cell Therapy for Cancer. Cancers (Basel). 2025; 17(7): 1063. doi:10.3390/cancers17071063.
5. Karachaliou N, Gonzalez-Cao M, Crespo G, et al. Interferon gamma, an important marker of response to immune checkpoint blockade in non-small cell lung cancer and melanoma patients. Ther Adv Med Oncol. 2018; 10: 1758834017749748. doi:10.1177/1758834017749748.
6. Ali Z, Zafar U, Khaliq S, Lone KP. Elevated Tumor Necrosis Factor (TNF)-α mRNA Expression Correlates with Nuclear Factor Kappa B Expression in Peripheral Blood Mononuclear Cells in Preeclampsia. J Coll Physicians Surg Pak. 2020; 30(2): 158-162. doi:10.29271/jcpsp.2020.02.158.
7. Andreev K, Denis Iulian Trufa I, Siegemund R, et al. Impaired T-bet-pSTAT1α and perforin- mediated immune responses in the tumoral region of lung adenocarcinoma. Br J Cancer. 2015; 113(6): 902-913. doi:10.1038/bjc.2015.255.
8. Dieffenbach CW, Dveksler GS. PCR Primer: A Laboratory Manual. Cold Spring Harbor Laboratory Press; 1995.
9. Kubista M, Andrade JM, Bengtsson M, et al. The real-time polymerase chain reaction. Mol Aspects Med. 2006; 27(2-3): 95-125. doi:10.1016/j.mam.2005.12.007.
10. Nguyễn Quý Linh. Nuôi Cấy Hoạt Hóa và Đánh Giá Tính Đáp Ứng Miễn Dịch Của Tế Bào γδT Tách Từ Bệnh Nhân Ung Thư Phổi. Trường Đại học Khoa học tự nhiên, Đại học Quốc Gia Hà Nội; 2020.
11. Gao X, Mi Y, Guo N, et al. Cytokine-Induced Killer Cells As Pharmacological Tools for Cancer Immunotherapy. Front Immunol. 2017; 8. doi:10.3389/fimmu.2017.00774.
12. Bonneville M, O’Brien RL, Born WK. Gammadelta T cell effector functions: a blend of innate programming and acquired plasticity. Nat Rev Immunol. 2010; 10(7): 467-478. doi:10.1038/nri2781.
13. Jorgovanovic D, Song M, Wang L, Zhang Y. Roles of IFN-γ in tumor progression and regression: a review. Biomarker Research. 2020; 8(1): 49. doi:10.1186/s40364-020-00228-x.
14. Giulietti A, Overbergh L, Valckx D, Decallonne B, Bouillon R, Mathieu C. An overview of real-time quantitative PCR: applications to quantify cytokine gene expression. Methods. 2001; 25(4): 386-401. doi:10.1006/meth.2001.1261.