LncRNA NCK1-AS1 in plasma distinguishes oral ulcer from early-stage oral squamous cell carcinoma

Le, Fei; Ou, Yangqian; Luo, Ping; Zhong, Xiaoming

doi:10.1186/s40709-020-00126-1

Cited by 11 publications

(5 citation statements)

References 21 publications

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“…LncRNAs are one class of crucial RNAs in tumor regulation. NCK1-AS1 was found to motivate the metastasis of oral squamous cell carcinoma [20]. SUMO1P3 had promoting effects on cell cycle, migration and invasion in gastric cancer [21].…”

Section: Discussionmentioning

confidence: 99%

Downregulation of long non-coding RNA UCA1 represses tumorigenesis and metastasis of osteosarcoma via miR-513b-5p/E2F5 axis

Zhang

Wu²,

Han³

et al. 2021

Anti-Cancer Drugs

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Long non-coding RNAs have the regulatory roles in different kinds of human cancers. The key point of this study was to research the functional mechanisms of urothelial carcinoma associated 1 (UCA1) in the development of osteosarcoma. Quantitative real-time PCR was adopted for the expression detection of UCA1, microRNA-513b-5p (miR-513b-5p) and E2F transcription factor 5 (E2F5). The target relation was verified via dualluciferase reporter assay and RNA pull-down assay. Cell proliferation was evaluated using Cell Counting Kit-8 and colony formation assays. Transwell assay was applied to assess cell migration and invasion. Western blot was performed for protein examination. Xenograft experiment was used to explore the effect of UCA1 on osteosarcoma in vivo. UCA1 expression was enhanced while miR-513b-5p was refrained in osteosarcoma tissues and cells. MiR-513b-5p was a target of UCA1. Inhibition of UCA1 or overexpression of miR-513b-5p suppressed osteosarcoma cell proliferation, migration and invasion. E2F5 was identified as a downstream gene of miR-513b-5p. MiR-513b-5p inhibitor or E2F5 overexpression rescued the progression inhibition of osteosarcoma by UCA1 knockdown, and UCA1 regulated E2F5 and Cyclin E expression by targeting miR-513b-5p. Downregulation of UCA1 restrained the tumorigenesis of osteosarcoma in vivo through the miR-513b-5p/E2F5 axis. Collectively, knockdown of UCA1 inhibited tumorigenesis and metastasis of osteosarcoma via regulating the miR-513b-5p/E2F5 axis. UCA1 might be a biological indicator in the progression and treatment of osteosarcoma. Anti-

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Section: Discussionmentioning

confidence: 99%

Downregulation of long non-coding RNA UCA1 represses tumorigenesis and metastasis of osteosarcoma via miR-513b-5p/E2F5 axis

Zhang

Wu²,

Han³

et al. 2021

Anti-Cancer Drugs

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“…miR-100, miR-99a, and miR-99b, also members of the miR-99 family, have all been found to be downregulated in the tumor tissue samples of HNSCC patients [ 73 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 ], with the exception of one study that reported miR-100 overexpression in the tumor tissue samples of HNSCC patients [ 86 ]. miR-99a and miR-100 expression has been found to be lower in the serum and plasma samples of OSCC patients [ 87 , 88 ], with miR-99a also appearing to be downregulated in the plasma samples of HNSCC patients [ 36 ], as compared to healthy controls. Notably, miR-99a expression levels have been found to be significantly higher in post-operative OSCC than in pre-operative samples, and have the potential to distinguish OSCC cases from healthy controls, indicating the potential of miR-99 as a diagnostic biomarker [ 87 ].…”

Section: The Role Of the Most Common Mirnas In Hncmentioning

confidence: 99%

Promising Biomarkers in Head and Neck Cancer: The Most Clinically Important miRNAs

Thomaidou

Batsaki

Adamaki

et al. 2022

IJMS

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Head and neck cancers (HNCs) comprise a heterogeneous group of tumors that extend from the oral cavity to the upper gastrointestinal tract. The principal etiologic factors for oral tumors include tobacco smoking and alcohol consumption, while human papillomavirus (HPV) infections have been accused of a high incidence of pharyngeal tumors. Accordingly, HPV detection has been extensively used to categorize carcinomas of the head and neck. The diverse nature of HNC highlights the necessity for novel, sensitive, and precise biomarkers for the prompt diagnosis of the disease, its successful monitoring, and the timely prognosis of patient clinical outcomes. In this context, the identification of certain microRNAs (miRNAs) and/or the detection of alterations in their expression patterns, in a variety of somatic fluids and tissues, could serve as valuable biomarkers for precision oncology. In the present review, we summarize some of the most frequently studied miRNAs (including miR-21, -375, -99, -34a, -200, -31, -125a/b, -196a/b, -9, -181a, -155, -146a, -23a, -16, -29, and let-7), their role as biomarkers, and their implication in HNC pathogenesis. Moreover, we designate the potential of given miRNAs and miRNA signatures as novel diagnostic and prognostic tools for successful patient stratification. Finally, we discuss the currently ongoing clinical trials that aim to identify the diagnostic, prognostic, or therapeutic utility of miRNAs in HNC.

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“…Clinically, oral and maxillofacial tumors are easily misdiagnosed as gingivitis, traumatic ulcers, maxillary sinusitis, osteomyelitis, and tuberculosis [10]. Therefore, errors in early diagnosis will delay the treatment, resulting in later deformities and loss of language and chewing functions.…”

Section: Discussionmentioning

confidence: 99%

Construction an autophagy-clinical prognostic index in oral cancer

Jiang

Zhen

Yin

et al. 2022

Preprint

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Background: Autophagy, is a metabolic pathway that occurs in eukaryotic cells and regulated by autophagy-related genes (ARGs).The occurrence and development of many diseases are caused by abnormal autophagy. The purpose of this article is to explore the relationship between autophagy and prognosis of oral cancer, hoping to provide a new way for early diagnosis and guide doctors to make subsequent treatment decisions.Methods: Download the RNA seq and clinical features of 305 oral cancer and 30 non-tumor patients from The Cancer Genome Atlas (TCGA) dataset. Filtered out differential expression autophagy-related genes (ARGs),and gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyzed these ARGs. Cox regression analysis filtered out the prognostic ARGs and constructed a risk score models for overall survival (OS) .Divided patients into high-risk and low-risk groups based on median risk score. Kaplan-Meier analyzed the overall survival (OS). Next, receiver operating characteristic (ROC) curve verified the predictive accuracy of the model. Furthermore, we performed stratification analyses to explore the relationship between the prognostic signature and clinicopathological variables. Lastly, we used another date set to verify the model. All data was processed by R (version 3.6.0) and perl (version5.18.4).Results: The K-M plot showed the overall survival rate of the high-risk group was lower than the low-risk group’s (P=2.216e−10). And Cox regression analysis suggested that the autophagy prognostic index was an independent prognostic factor. Further more, the ARGs prognostic model was confirmed in dataset of GSE65858.Conclusion: This study constructed an autophagy-related signature of oral cancer, which can foresee the prognosis of patients. It will open up new prospects for fight against oral cancer.

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LncRNA NCK1-AS1 in plasma distinguishes oral ulcer from early-stage oral squamous cell carcinoma

Cited by 11 publications

References 21 publications

Downregulation of long non-coding RNA UCA1 represses tumorigenesis and metastasis of osteosarcoma via miR-513b-5p/E2F5 axis

Downregulation of long non-coding RNA UCA1 represses tumorigenesis and metastasis of osteosarcoma via miR-513b-5p/E2F5 axis

Promising Biomarkers in Head and Neck Cancer: The Most Clinically Important miRNAs

Construction an autophagy-clinical prognostic index in oral cancer

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