Classification of tongue cancer resection and treatment algorithm

Mannelli, Giuditta; Arcuri, Francesco; Agostini, Tommaso; Innocenti, Marco; Raffaini, Mirco; Spinelli, Giuseppe

doi:10.1002/jso.24991

Cited by 55 publications

(38 citation statements)

References 51 publications

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“…Tongue squamous cell carcinoma (TSCC) is one of the most lethal malignancies of oral cancers, and it is the most common oral cancer (Mannelli et al, 2018; Kamali et al, 2017). TSCC is highly invasive and prone to recurrence and early metastasis, often endangering the lives of patients, and treatment is more difficult.…”

Section: Introductionmentioning

confidence: 99%

Functional analysis of lncRNAs based on competitive endogenous RNA in tongue squamous cell carcinoma

Song

Pan

2019

PeerJ

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Backround Tongue squamous cell carcinoma (TSCC) is the most common malignant tumor in the oral cavity. An increasing number of studies have suggested that long noncoding RNA (lncRNA) plays an important role in the biological process of disease and is closely related to the occurrence and development of disease, including TSCC. Although many lncRNAs have been discovered, there remains a lack of research on the function and mechanism of lncRNAs. To better understand the clinical role and biological function of lncRNAs in TSCC, we conducted this study. Methods In this study, 162 tongue samples, including 147 TSCC samples and 15 normal control samples, were investigated and downloaded from The Cancer Genome Atlas (TCGA). We constructed a competitive endogenous RNA (ceRNA) regulatory network. Then, we investigated two lncRNAs as key lncRNAs using Kaplan–Meier curve analysis and constructed a key lncRNA-miRNA-mRNA subnetwork. Furthermore, gene set enrichment analysis (GSEA) was carried out on mRNAs in the subnetwork after multivariate survival analysis of the Cox proportional hazards regression model. Results The ceRNA regulatory network consists of six differentially expressed miRNAs (DEmiRNAs), 29 differentially expressed lncRNAs (DElncRNAs) and six differentially expressed mRNAs (DEmRNAs). Kaplan-Meier curve analysis of lncRNAs in the TSCC ceRNA regulatory network showed that only two lncRNAs, including LINC00261 and PART1, are correlated with the total survival time of TSCC patients. After we constructed the key lncRNA-miRNA -RNA sub network, the GSEA results showed that key lncRNA are mainly related to cytokines and the immune system. High expression levels of LINC00261 indicate a poor prognosis, while a high expression level of PART1 indicates a better prognosis.

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Section: Introductionmentioning

confidence: 99%

Functional analysis of lncRNAs based on competitive endogenous RNA in tongue squamous cell carcinoma

Song

Pan

2019

PeerJ

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“…The degree of the function restoration is not only affected by the site and size of the tumor, but also by the reconstruction methods. Owing to advancements in microsurgical techniques [8], anterolateral thigh (ALT) perforator ap is widely used for the reconstruction now-days.…”

Section: Introductionmentioning

confidence: 99%

The comparison of the functional outcomes between primary closure and reconstruction with free flap after resection of T1 stage tongue cancer: A prospective study

Pathak

Yang

et al. 2020

Preprint

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Abstract Background: Reconstruction with free flap after the resection of tongue cancer is commonly used by craniofacial surgeons. However, it is unknown whether the reconstruction with free flap is better than the primary closure for the T1 stage tongue cancer. The objective of this prospective study is to compare the functional outcomes between these two methods.Methods: In this prospective study, 30 patients who were diagnosed as T1 stage tongue cancer (on anterior -two third of the tongue) were randomly divided into two groups. The first group underwent the primary closure after the resection (15 patients) and the second group were reconstructed with the anterolateral perforator flap (15 patients). All patients underwent postoperative functional evaluation using specific questionnaires and a screening test with special emphasis on speech, swallowing, and tongue mobility at 1, 3, 6 and 12 months.Results: Functional outcomes, including tongue mobility, speech, and swallowing, were all better in primary closure than anterolateral thigh flap group. At 1-month post-op, the speech understandability of the patients who received a primary closure were statistically better than those who received ALT flap (p = 0.01), while at 1-year post-op, there was no significantly different on speech understandability between two groups (p = 0.16). Statistically significant differences were found between the two groups in the swallowing capacity at all four different time periods (p < 0.05). For the primary closure group, tongue mobility was statistically better at all four different time periods than in ALT flap group (p < 0.05).Conclusion: For the tongue cancer patients (T1), reconstruction with primary closure, rather than with flap, can reserve more functions including tongue mobility, speech and swallowing outcomes, and therefore might be the appropriate reconstruction method after partial glossectomy.

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“…Tongue squamous cell carcinoma (TSCC) is one of the most common and lethal types of oral cancer [1] and is characterized by poor prognosis, frequent lymphatic metastasis, and a high rate of regional recurrence. Currently, the most preferred treatment for TSCC is surgery combined with postoperative radiotherapy and chemotherapy.…”

Section: Introductionmentioning

confidence: 99%

Identification of Potential Prognostic Biomarkers for Tongue Squamous Cell Carcinoma

Zhang

et al. 2020

Preprint

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Background: Tongue squamous cell carcinoma (TSCC) is one of the most common types of oral cancer and has a poor prognosis owing to a limited understanding of its pathogenetic mechanisms. The purpose of this study was to explore and identify potential biomarkers in TSCC by integrated bioinformatics analysis.Methods: The RNA sequencing data, methylation data, and clinical characteristics of TSCC patients were downloaded from The Cancer Genome Atlas (TCGA), and then differentially expressed RNAs (DERNAs), including differentially expressed long noncoding RNAs (DElncRNAs) and differentially expressed messenger RNAs (DEmRNAs), were identified in TSCC by bioinformatics analysis. Subsequently, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Hallmark pathway analyses were used to analyze the DERNAs. Univariate and multivariate Cox regression analyses were used to develop four-lncRNA and two-mRNA signatures and predict survival in TSCC patients. We established a risk model to predict the overall survival (OS) of TSCC patients based on the DERNAs with Kaplan–Meier analysis and the log-rank p test. Furthermore, weighted gene coexpression network analysis (WGCNA) was performed in Cytoscape, and a protein-protein interaction (PPI) network was established in the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database.Results: A total of 2,006 DEmRNAs and 1,001 DElncRNAs were found to be dysregulated in TSCC. A total of 417 DERNAs were used to construct the coexpression network, and the PPI network included 103 DEmRNAs. Univariate regression analysis of the DERNAs revealed 51 DElncRNAs and 90 DEmRNAs that were associated with OS in TSCC patients. Multivariate Cox regression analysis demonstrated that four of those lncRNAs (MGC32805, RP1-35C21.2, RP11-108K3.1, and RP11-109M17.2) and two mRNAs (CA9, GTSF1L) had significant prognostic value, and their cumulative risk score indicated that these four-lncRNA and two-mRNA signatures independently predicted OS in TSCC patients. Additionally, there was a positive correlation between the expression and methylation level of RP11-108K3.1, the OS significantly negatively correlated with hypermethylation and low expression of GTSF1L along with hypomethylation and high expression of CA9.Conclusions: The current findings provide novel insights into the molecular mechanisms of TSCC and identify four lncRNAs and two mRNAs that are potential biomarkers that may be independent prognostic signatures for TSCC diagnosis and treatment.

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Classification of tongue cancer resection and treatment algorithm

Abstract: Our classification system and treatment algorithm represent a reliable method of addressing management of tongue defects.

Cited by 55 publications

References 51 publications

Functional analysis of lncRNAs based on competitive endogenous RNA in tongue squamous cell carcinoma

Functional analysis of lncRNAs based on competitive endogenous RNA in tongue squamous cell carcinoma

The comparison of the functional outcomes between primary closure and reconstruction with free flap after resection of T1 stage tongue cancer: A prospective study

Identification of Potential Prognostic Biomarkers for Tongue Squamous Cell Carcinoma

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