Genetic associations of <i>Neat1</i> polymorphisms with clinicopathologic characteristics of tongue cancer

One of the most common malignant tumors of the head and neck region is tongue cancer. Long noncoding RNAs (lncRNAs) called nuclear enriched abundant transcript 1 (Neat1) are linked to tumor growth, survival, and apoptosis in a variety of cancer types; however, it is unclear how these factors relate to tongue cancer. Furthermore, it is unknown how <i>Neat1</i> polymorphisms and clinicopathological traits in individuals with tongue cancer relate to one another. We looked examined the effects of three variants in the <i>Neat1</i> gene and clinicopathological characteristics on the risk of tongue cancer in 400 male Taiwanese patients who already had the disease. Carriers of the CT+TT heterozygote of SNP rs3825071 were at a significantly lower risk to clinical stage (III+IV) and lymph node metastasis compared to those with the CC genotype. For non-smoking tongue cancer patients, but not those who smoke, the SNP rs3825071 was associated with a lower clinical stage (III+IV) and reduced lymph node metastasis. The Cancer Genome Atlas database noted that <i>Neat1</i> mRNA levels are higher in tongue cancer patients compared to normal tissues and are associated with tumor stage and metastasis. This study is the first to establish a link between the clinicopathological features of tongue cancer patients and <i>Neat1</i> polymorphisms.

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Publication Details

Journal
International Journal of Medical Sciences
Published
2025-02-18
DOI
https://doi.org/10.7150/ijms.103842
Citations
1
Primary Topic
Cancer-related molecular mechanisms research
Type
article
Field-Weighted Citation Impact
0.94

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article

Genetic associations of Neat1 polymorphisms with clinicopathologic characteristics of tongue cancer

Kwei‐Jing Chen, Ming-Yu Lien, Chih‐Hsin Tang, Michael Yuan‐Chien Chen et al.
1 citations
International Journal of Medical Sciences
Cancer-related molecular mechanisms research
0.94
article

Genetic associations of Neat1 polymorphisms with clinicopathologic characteristics of tongue cancer

Kwei‐Jing Chen, Ming-Yu Lien, Chih‐Hsin Tang, Michael Yuan‐Chien Chen, Chun‐Wen Su, Chun‐Yi Chuang, Hsiao-Chi Tsai, Shun-Fa Yang
article en
1 citations

Abstract

One of the most common malignant tumors of the head and neck region is tongue cancer. Long noncoding RNAs (lncRNAs) called nuclear enriched abundant transcript 1 (Neat1) are linked to tumor growth, survival, and apoptosis in a variety of cancer types; however, it is unclear how these factors relate to tongue cancer. Furthermore, it is unknown how <i>Neat1</i> polymorphisms and clinicopathological traits in individuals with tongue cancer relate to one another. We looked examined the effects of three variants in the <i>Neat1</i> gene and clinicopathological characteristics on the risk of tongue cancer in 400 male Taiwanese patients who already had the disease. Carriers of the CT+TT heterozygote of SNP rs3825071 were at a significantly lower risk to clinical stage (III+IV) and lymph node metastasis compared to those with the CC genotype. For non-smoking tongue cancer patients, but not those who smoke, the SNP rs3825071 was associated with a lower clinical stage (III+IV) and reduced lymph node metastasis. The Cancer Genome Atlas database noted that <i>Neat1</i> mRNA levels are higher in tongue cancer patients compared to normal tissues and are associated with tumor stage and metastasis. This study is the first to establish a link between the clinicopathological features of tongue cancer patients and <i>Neat1</i> polymorphisms.

International Journal of Medical SciencesVol. 22(5)
Asia University (TW), China Medical University (TW), Chung Shan Medical University Hospital (TW), China Medical University Beigang Hospital (TW), China Medical University Hospital (TW), Chung Shan Medical University (TW), National Yang Ming Chiao Tung University (TW)
China Medical University Hospital, China Medical University, National Science and Technology Council, Division of Materials Research
Openalex Percentile: Top 28%
Cancer-related molecular mechanisms research
0.94
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