LINC01783 accelerated tongue squamous cell carcinoma progression via inhibiting miR‐199b‐5p

Hu, Ying; Wang, Xiaofeng; Li, Chong; Ji, Liang; Du, Yi

doi:10.1111/jcmm.16352

Cited by 10 publications

(4 citation statements)

References 41 publications

(42 reference statements)

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“…In contrast, miR-431-5p was reported to be downregulated in OC tissue when compared to adjacent normal tissue and act as a tumour suppressor in tongue squamous cell carcinoma. 27 However, our results demonstrate that miR-431-5p is upregulated in OC tissues and downregulated in saliva samples of OC patients. This discrepancy can be attributed to several confounding factors, such as subtypes of OC, variations in tumour microenvironment, and stage of cancer.…”

Section: Discussionmentioning

confidence: 53%

A novel saliva-based miRNA profile to diagnose and predict oral cancer

Balakittnen,

Ekanayake Weeramange,

Wallace

et al. 2024

Int J Oral Sci

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Oral cancer (OC) is the most common form of head and neck cancer. Despite the high incidence and unfavourable patient outcomes, currently, there are no biomarkers for the early detection of OC. This study aims to discover, develop, and validate a novel saliva-based microRNA signature for early diagnosis and prediction of OC risk in oral potentially malignant disorders (OPMD). The Cancer Genome Atlas (TCGA) miRNA sequencing data and small RNA sequencing data of saliva samples were used to discover differentially expressed miRNAs. Identified miRNAs were validated in saliva samples of OC (n = 50), OPMD (n = 52), and controls (n = 60) using quantitative real-time PCR. Eight differentially expressed miRNAs (miR-7-5p, miR-10b-5p, miR-182-5p, miR-215-5p, miR-431-5p, miR-486-3p, miR-3614-5p, and miR-4707-3p) were identified in the discovery phase and were validated. The efficiency of our eight-miRNA signature to discriminate OC and controls was: area under curve (AUC): 0.954, sensitivity: 86%, specificity: 90%, positive predictive value (PPV): 87.8% and negative predictive value (NPV): 88.5% whereas between OC and OPMD was: AUC: 0.911, sensitivity: 90%, specificity: 82.7%, PPV: 74.2% and NPV: 89.6%. We have developed a risk probability score to predict the presence or risk of OC in OPMD patients. We established a salivary miRNA signature that can aid in diagnosing and predicting OC, revolutionising the management of patients with OPMD. Together, our results shed new light on the management of OC by salivary miRNAs to the clinical utility of using miRNAs derived from saliva samples.

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Section: Discussionmentioning

confidence: 53%

A novel saliva-based miRNA profile to diagnose and predict oral cancer

Balakittnen,

Ekanayake Weeramange,

Wallace

et al. 2024

Int J Oral Sci

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“…Since miRNAs are secreted from cancer cells into saliva, when miRNAs are downregulated in the tumour, their secretion into saliva can also be reduced, resulting in the downregulation in saliva and vice versa. In contrast, miR-431-5p was reported to be downregulated in OC tissue when compared to adjacent normal tissue and act as a tumour suppressor in tongue squamous cell carcinoma 25 . However, our results demonstrate that miR-431-5p is upregulated in OC tissues and downregulated in saliva samples of OC patients.…”

Section: Discussionmentioning

confidence: 87%

A Novel Saliva-Based miRNA Profile to Diagnose and Predict Oral Cancer

Punyadeera,

Balakittnen,

Weeramange

et al. 2023

Preprint

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Oral cancer (OC) is the most common form of head and neck cancer. Despite the high incidence and unfavourable patient outcomes, currently, there are no biomarkers for the early detection of OC. This study aims to discover, develop, and validate a novel saliva-based microRNA signature for early diagnosis and prediction of OC risk in oral potentially malignant disorders (OPMD). The Cancer Genome Atlas (TCGA) miRNA sequencing data and small RNA sequencing data of saliva samples were used to discover differentially expressed miRNAs. Identified miRNAs were validated in saliva samples of OC (n=50), OPMD (n=52), and controls (n=60) using quantitative real-time PCR. Eight differentially expressed miRNAs (miR-7-5p, miR-10b-5p, miR-182-5p, miR-215-5p, miR-431-5p, miR-486-3p, miR-3614-5p, and miR-4707-3p) were identified in the discovery phase and were validated. The efficiency of our eight-miRNA signature to discriminate OC and controls was: Area Under Curve (AUC): 0.954, sensitivity: 86%, specificity: 90%, positive predictive value (PPV): 87.8% and negative predictive value (NPV): 88.5% whereas between OC and OPMD was: AUC: 0.911, sensitivity: 90%, specificity: 82.7%, PPV: 74.2% and NPV: 89.6%. We have developed a risk probability score to predict the development of OC in OPMD patients. We established a salivary miRNA signature that can aid in diagnosing and predicting OC, revolutionizing the management of patients with OPMD. Together, our results shed new light on the management of OC by salivary miRNAs to the clinical utility of using miRNAs derived from saliva samples.

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“…( 121 ) have also confirmed that the expression of circUHRF1 and circ0059655 was associated with malignant proliferation, and that of circUHRF1 and circ0001742 was related to migration. However, the expression of circ0001971 ( 122 , 123 ), circ0005379, and circ0007059 was associated with cisplatin and cetuximab resistance in OSCC ( 124 , 125 ). These findings indicate that circRNAs could be useful predictors of clinical outcomes in HPV-positive OSCC.…”

Section: The Expression and Function Of Circrna In Hpv-positive Hnsccmentioning

confidence: 99%

Expression and molecular regulation of non-coding RNAs in HPV-positive head and neck squamous cell carcinoma

Guo

Yang

et al. 2023

Front. Oncol.

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Head and neck squamous cell carcinoma (HNSCC) is the sixth most prevalent malignancy worldwide. Accumulating evidence suggests that persistent HPV infection is closely related to a subset of HNSCC types, and the incidence of human papillomavirus (HPV)-positive HNSCC has been annually increasing in recent decades. Although the carcinogenesis of HPV-positive HNSCC has not been completely elucidated, it has been well confirmed that E6 and E7, the main viral oncoproteins are responsible for the maintenance of malignant transformation, promotion of cell proliferation, and increase in tumor invasion. Moreover, compared with HPV-negative HNSCC, HPV-positive HNSCC shows some special clinical-pathological features, which are possibly related to HPV infection and their specific regulatory mechanisms. Non-coding RNA (ncRNA) is a class of RNA lacking the protein-coding function and playing a critical regulatory role via multiple complex molecular mechanisms. NcRNA is an important regulatory pattern of epigenetic modification, which can exert significant effects on HPV-induced tumorigenesis and progression by deregulating downstream genes. However, the knowledge of ncRNAs is still limited, hence, a better understanding of ncRNAs could provide some insights for exploring the carcinogenesis mechanism and identifying valuable biomarkers in HPV-positive HNSCC. Therefore, in this review, we mainly focused on the expression profile of ncRNAs (including lncRNA, miRNA, and circRNA) and explored their regulatory role in HPV-positive HNSCC, aiming to clarify the regulatory mechanism of ncRNAs and identify valuable biomarkers for HPV-positive HNSCC.

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LINC01783 accelerated tongue squamous cell carcinoma progression via inhibiting miR‐199b‐5p

Cited by 10 publications

References 41 publications

A novel saliva-based miRNA profile to diagnose and predict oral cancer

A novel saliva-based miRNA profile to diagnose and predict oral cancer

A Novel Saliva-Based miRNA Profile to Diagnose and Predict Oral Cancer

Expression and molecular regulation of non-coding RNAs in HPV-positive head and neck squamous cell carcinoma

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