Abstract
Background
Laryngeal squamous cell carcinoma (LSCC) is the major pathological subtype of laryngeal cancer. It has been shown that alterations of the expression of non-classical human leukocyte antigens (HLA) and the chain-related MIC molecules by malignant cells can lead to escape from the immune system control and certain allele variants may participate in immune editing and therefore be associated with modulation of cancer risk. The aim of the present study was to investigate the role of non-classical HLA class Ib and chain-related MIC polymorphisms, determined at the allelic level by next-generation sequencing (NGS), in patients from the Bulgarian population, diagnosed with LSCC.
Materials and methods
In the present study DNA samples from 48 patients with LSCC were used. Data was compared to 63 healthy controls analysed in previous studies. HLA genotyping was performed by using the AlloSeq Tx17 early pooling protocol and the library preparation AlloSeq Tx17 kit (CareDx). Sequencing was performed on MiniSeq sequencing platform (Illumina) and HLA genotypes were assigned with the AlloSeq Assign analysis software v1.0.3 (CareDx) and the IPD-IMGT/HLA database 3.45.1.2.
Results
The HLA disease association tests revealed a statistically significant predisposing association of HLA-F*01:01:02 (Pc = 0.0103, OR = 24.0194) with LSCC, while HLA-F*01:01:01 (Pc = 8.21e-04, OR = 0.0485) has a possible protective association. Additionally we observed several haplotypes with statistically significant protective and predisposing associations. The strongest association was observed for F*01:01:01-H*01:01:01 (P = 0.0054, haplotype score=-2.7801).
Conclusion
Our preliminary study suggests the involvement of HLA class Ib in cancer development and the possible role of the shown alleles as biomarkers of LSCC.
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Data Availability
The data that support the findings of this study are available on request from the corresponding author.
References
Worldwide cancer data https://www.wcrf.org/cancer-trends/worldwide-cancer-data. Accessed 11.2022
Du Y, Shao S, Lv M et al (2020) Radiotherapy Versus surgery–which is better for patients with T1-2N0M0 glottic laryngeal squamous cell carcinoma? Individualized survival prediction based on web-based nomograms. Front Oncol 10:1669. https://doi.org/10.3389/fonc.2020.01669
Song L, Zhang S, Yu S et al (2020) Cellular heterogeneity landscape in laryngeal squamous cell carcinoma. Int J Cancer 147(10):2879–2890. https://doi.org/10.1002/ijc.33192
Steuer CE, El-Deiry M, Parks JR et al (2017) An update on larynx cancer. CA Cancer J Clin 67(1):31–50. https://doi.org/10.3322/caac.21386
Zhang Q, Wang H, Zhao Q et al (2021) Evaluation of risk factors for laryngeal squamous cell carcinoma: a Single-Center Retrospective Study. Front Oncol 11:606010. https://doi.org/10.3389/fonc.2021.606010
Bradford CR, Ferlito A, Devaney KO et al (2020) Prognostic factors in laryngeal squamous cell carcinoma. Laryngoscope Investig Otolaryngol 5(1):74–81. https://doi.org/10.1002/lio2.353
Wang X, Cao K, Guo E et al (2020) Assessment of immune status of laryngeal squamous cell carcinoma can predict prognosis and guide treatment. Cancer Immunol Immunother 71(5):1199–1220. https://doi.org/10.1007/s00262-021-03071-7
Galluzzi L, Chan TA, Kroemer G et al (2018) The hallmarks of successful anticancer immunotherapy. Sci Transl Med 10(459):1–15. https://doi.org/10.1126/scitranslmed.aat7807
Kochan G, Escors D, Breckpot K et al (2013) Role of non-classical MHC class I molecules in cancer immunosuppression. Oncoimmunology 2(11):e26491. https://doi.org/10.4161/onci.26491
Arnaiz-Villena A, Suarez-Trujillo F, Juarez I et al (2022) Evolution and molecular interactions of major histocompatibility complex (MHC)-G, -E and -F genes. Cell Mol Life Sci 79(8):464. https://doi.org/10.1007/s00018-022-04491-z
Silva TG, Crispim JCO, Miranda FA et al (2011) Expression of the nonclassical HLA-G and HLA-E molecules in laryngeal lesions as biomarkers of tumor invasiveness. Histol Histopathol 26(12):1487–1497. https://doi.org/10.14670/HH-26.1487
Schmiedel D, Tai J, Yamin R et al (2016) The RNA binding protein IMP3 facilitates tumor immune escape by downregulating the stress-induced ligands ULPB2 and MICB. eLife 5:1–18. https://doi.org/10.7554/eLife.13426
Muro M, Lopez-Hernandez R, Llorente S et al (2015) MICA Molecules in Disease and Transplantation, a double-edged Sword? Curr Immunol Rev 8(4):307–325. https://doi.org/10.2174/1573395511208040006
Chitadze G, Bhat J, Lettau M et al (2013) Generation of Soluble NKG2D Ligands: proteolytic cleavage, Exosome Secretion and Functional Implications. Scand J Immunol 78(2):120–129. https://doi.org/10.1111/sji.12072
Zhao YK, Jia CM, Yuan GJ et al (2015) Expression and clinical value of the soluble major histocompatibility complex class I-related chain A molecule in the serum of patients with renal tumors. Genet Mol Res 14(2):7233–7240. https://doi.org/10.4238/2015.June.29.16
Ivanova M, Al Hadra B, Yordanov S et al (2021) Associations of high-resolution-typing-defined MICA and MICB polymorphisms, and the levels of soluble MICA and MICB with oral squamous cell carcinoma in bulgarian patients. J Oral Pathol Med 50(8):758–765. https://doi.org/10.1111/jop.13185
Lydiatt WM, Patel SG, O’Sullivan B et al (2017) Head and neck cancers—major changes in the american Joint Committee on cancer eighth edition cancer staging manual. CA Cancer J Clin 67(2):122–137. https://doi.org/10.3322/caac.21389
Fan Y, Song YQ (2017) PyHLA: tests for the association between HLA alleles and diseases. BMC Bioinformatics 18(1):1–5. https://doi.org/10.1186/s12859-017-1496-0
Sinnwell JP, Schaid DJ (2022) Haplo.stats: statistical analysis of haplotypes with traits and covariates when linkage phase is ambiguous. R package version 1.8.9. https://cran.r-project.org/package=haplo.stats
Excoffier L, Lischer HEL (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10:564–567. https://doi.org/10.1111/j.1755-0998.2010.02847.x
Ferris RL (2015) Immunology and Immunotherapy of Head and Neck Cancer. J Clin Oncol 33(29):3293–3304. https://doi.org/10.1200/JCO.2015.61.1509
Kamiya T, Seow SV, Wong D et al (2019) Blocking expression of inhibitory receptor NKG2A overcomes tumor resistance to NK cells. J Clin Invest 129(5):2094–2106. https://doi.org/10.1172/JCI123955
Wagner B, Nardi F, Schramm S (2016) HLA-E allelic genotype correlates with HLA‐E plasma levels and predicts early progression in chronic lymphocytic leukemia. 123(5):814–823. https://doi.org/10.1002/cncr.30427
Lin A, Yan WH (2019) The emerging roles of human leukocyte antigen-F in immune modulation and viral infection. Front Immunol 10(5):1–7. https://doi.org/10.3389/fimmu.2019.00964
Lin A, Zhang X, Ruan YY et al (2011) HLA-F expression is a prognostic factor in patients with non-small-cell lung cancer. Lung Cancer 74(3):504–509. https://doi.org/10.1016/j.lungcan.2011.04.006
Rouas-Freiss N, Moreau P, LeMaoult J et al (2014) The dual role of HLA-G in Cancer. J Immunol Res 2014:1–10. https://doi.org/10.1155/2014/359748
Paganini J, Abi-Rached L, Gouret P et al (2019) HLAIb worldwide genetic diversity: New HLA-H alleles and haplotype structure description. Mol Immunol 1;112:40–50. https://doi.org/10.1016/j.molimm.2019.04.017
Jordier F, Gras D, De Grandis M et al (2020) HLA-H: transcriptional activity and HLA-E mobilization. Front Immunol 10(1):1–7. https://doi.org/10.3389/fimmu.2019.02986
Wichmann G, Lehmann C, Herchenhahn C et al (2018) Development of a human leukocyte antigen score to predict progression-free survival in head and neck squamous cell carcinoma patients. Front Oncol 8(5):1–8. https://doi.org/10.3389/fonc.2018.00168
Salih HR, Goehlsdorf D, Steinle A (2006) Release of MICB Molecules by Tumor cells: mechanism and Soluble MICB in Sera of Cancer Patients. Hum Immunol 67(3):188–195. https://doi.org/10.1016/j.humimm.2006.02.008
Dyckhoff G, Herold-Mende C, Scherer S (2022) Human leucocyte antigens as prognostic markers in Head and Neck squamous cell carcinoma. Cancers (Basel) 14(15). https://doi.org/10.3390/cancers14153828
Zhang X, Lin A, Zhang JG et al (2013) Alteration of HLA-F and HLA i antigen expression in the tumor is associated with survival in patients with esophageal squamous cell carcinoma. Int J Cancer 132(1):82–89. https://doi.org/10.1002/ijc.27621
Hò GGT, Heinen FJ, Huyton T et al (2019) HLA-F*01:01 presents peptides with N-terminal flexibility and a preferred length of 16 residues. Immunogenetics 71(5–6):353–360. https://doi.org/10.1007/s00251-019-01112-1
Sharma Y, Miladi M, Dukare S et al (2019) A pan-cancer analysis of synonymous mutations. Nat Commun 10:2569. https://doi.org/10.1038/s41467-019-10489-2
Sullivan LC, Clements CS, Rossjohn J et al (2008) The major histocompatibility complex class ib molecule HLA-E at the interface between innate and adaptive immunity. Tissue Antigens 72(5):415–424. https://doi.org/10.1111/j.1399-0039.2008.01138.x
Barakat G, Elsharkawy A, Nabiel Y (2021) Human leucocyte antigen–G gene polymorphism in laryngeal squamous cell carcinoma patients in Mansoura University Hospitals. Egypt J Basic Appl Sci 8(1):214–221. https://doi.org/10.1080/2314808X.2021.1943804
Reinders J, Rozemuller EH, Otten HG et al (2007) HLA and MICA associations with head and neck squamous cell carcinoma. Oral Oncol 43(3):232–240. https://doi.org/10.1016/j.oraloncology.2006.03.003
Reinders J, Rozemuller EH, van der Ven KJW et al (2006) MHC class I chain-related gene a diversity in Head and Neck squamous cell carcinoma. Hum Immunol 67(3):196–203. https://doi.org/10.1016/j.humimm.2006.02.006
Tani R, Ito N, Matsui K et al (2021) MICA A5.1 homozygous genotype is associated with a risk for early-onset oral cancer. Oral Oncol 116:105256. https://doi.org/10.1016/j.oraloncology.2021.105256
Funding
This work was supported by National Science Fund, Bulgaria under Grant KP-06-H23/4 and Medical University – Sofia, project ‘’Young Researcher’’, contract 126/04.06.2021.
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Anastasia Ormandjieva: Data curation; Analysis and methodology; Software; Validation; Visualization; Writing-original draft. Stanislav Yordanov: Investigation; Resources. Hristo Stoyanov: Resources. Elitsa Deliverska: Investigation; Resources; Supervision. Velizar Shivarov: Conceptualization, data analysis, propose research. Milena Ivanova: Conceptualization; Data curation; Funding acquisition; Investigation; Project administration; Supervision; Resources.
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The principles of the Declaration of Helsinki were strictly followed during the study. Ethical approval was granted for this study by Research Ethics Committee at Medical University - Sofia with the approval number №15/19.05.2021.
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All patients and healthy controls provided informed consent for genetic testing as part of the institutional review board’s approved standard-operating procedures at our institutions.
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Ormandjieva, A., Yordanov, S., Stoyanov, H. et al. The role of non-classical and chain-related human leukocyte antigen polymorphisms in laryngeal squamous cell carcinoma. Mol Biol Rep 50, 7245–7252 (2023). https://doi.org/10.1007/s11033-023-08629-5
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DOI: https://doi.org/10.1007/s11033-023-08629-5