Exploration of the association between HIF3&alpha; mRNA and lncRNA MALAT1 in laryngeal squamous cell carcinoma by correlation analysis

Kyurkchiyan,Silva Garo; Stancheva,Gergana; Petkova,Veronika; Hadzhiev,Yuliyan; Dobriyanova,Venera; Popova,Diana; Kaneva,Radka; Popov,Todor Miroslavov

doi:10.3892/ol.2024.14425

July-2024 Volume 28 Issue 1

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July-2024 Volume 28 Issue 1

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Article Open Access

Exploration of the association between HIF3α mRNA and lncRNA MALAT1 in laryngeal squamous cell carcinoma by correlation analysis

Authors:
- Silva Garo Kyurkchiyan
- Gergana Stancheva
- Veronika Petkova
- Yuliyan Hadzhiev
- Venera Dobriyanova
- Diana Popova
- Radka Kaneva
- Todor Miroslavov Popov
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Affiliations: Molecular Medicine Center, Department of Medical Chemistry and Biochemistry, Medical Faculty, Medical University, 1431 Sofia, Bulgaria, Department of Ear and Nose Treatment, UMHAT ‘Tsaritsa Yoanna‑ISUL’, Medical University, 1537 Sofia, Bulgaria

Copyright: © Kyurkchiyan et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
Article Number: 292
|
Published online on: May 1, 2024

https://doi.org/10.3892/ol.2024.14425
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Abstract

Laryngeal squamous cell carcinoma (LSCC) is a significant global health burden, for which there has been limited evidence of improved survival rates. Although the roles of hypoxia‑inducible factor (HIF)1α and HIF2α have been well documented in hypoxia, the involvement of HIF3α, particularly in LSCC, has been inadequately explored. The present study aimed to investigate the correlation between HIFα subunits and the hypoxia‑related long noncoding RNAs (lncRNAs) MALAT1 and HOTAIR in 63 patients diagnosed with LSCC. Total RNA was extracted from fresh‑frozen laryngeal tumor and adjacent normal tissues, and was subjected to reverse transcription‑quantitative PCR for target detection. Statistical analyses were conducted using SPSS software, with significance set at P<0.05. The present study is the first, to the best of our knowledge, to report a positive moderate monotonic correlation (rs=0.347) and moderately strong positive linear correlation (r=0.630) between HIF3α mRNA and lncRNA MALAT1 in LSCC. Regression analysis revealed a direct association between 39.6% of both variables. Additionally, a positive correlation was observed between lncRNAs MALAT1 and HOTAIR (rs=0.353); HIF2α mRNA and lncRNA MALAT1 (rs=0.431); HIF3α mRNA and lncRNA HOTAIR (rs=0.279); and HIF3α mRNA and HIF2α mRNA (rs=0.285). Notably, a significant negative correlation (rs=‑0.341) was detected between HIF3α mRNA and HIF1α mRNA, potentially indicative of the HIF switch or negative regulation. In addition, the present study investigated the association between HIFα subunits and the clinicopathological characteristics of patients. The results revealed a notable association between HIF1α transcript levels and the location of LSCC; specifically, subglottic tumors exhibited elevated HIF1α levels compared with glottic and supraglottic LSCC. Furthermore, a significant association was identified between HIF3α transcript levels and patient age (P=0.032) and positive family history (P=0.047). In conclusion, the present findings suggested a pivotal role for HIF3α in LSCC development, potentially involving direct regulation of lncRNA MALAT1. However, further research is warranted to elucidate its precise mechanisms.

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