Identification of genes associated with tongue cancer in patients with a history of tobacco and/or alcohol use

Zhao, Yin; Fu, Dongna; Xu, Chengbi; Yang, Jiahui; Wang, Zonggui

doi:10.3892/ol.2016.5497

Cited by 8 publications

(3 citation statements)

References 45 publications

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“…Copy number alteration analysis revealed the deleterious somatic SCNA in hallmark genes of tongue cancer, such as amplification of MYC, CCND1 and FGFR1, and were also identified in previous reports [16,55,56]. In addition, high expression of ERBB2 was reported to exhibit important roles in the development of tongue cancer in patients with smoking history and/or alcohol consumption [57], and PDGFRA expression was significantly higher in oral cancer cohort with or without the establishment of tobacco risk factor [58]. Also as stated above, the down-regulation of CDKN2A and CDKN2B were found to associate with the recurrence of disease in oral cancer patients [32].…”

Section: Discussionsupporting

confidence: 61%

Whole-exome Sequencing Reveals Genetic Underpinnings of Tongue Carcinoma in Chinese Population

Shuhang¹,

Jiang²,

Yu³

et al. 2020

Asia-Pac J Oncol

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Oral tongue squamous cell carcinoma (OTSCC) is a common malignancy, of which the incidence has increased in China in the last decade. Surprisingly, while multiple studies have revealed the mutational features of OTSCC in Western populations, limited data was shown in Asian patients. Herein, we utilized whole-exome sequencing to profile the genetic alterations in 13 Chinese OTSCC and compared them to those from 40 Western patients published in Cancer Discovery. In result, some key driver mutations were observed in both Chinese and Western cohorts, such as TP53 (Chinese 60.0% vs Western 60.0%), FAT1 (Chinese 7.7% vs Western 30.0%), CASP8 (Chinese 7.7% vs Western 10.0%) and NOTCH1 (Chinese 15.4% vs Western 10.0%), while mutations in CDKN2A (23.1%) and NTRK3 (23.1%) were only observed in Chinese patients, indicating these two novel mutations might play vital roles in OTSCC tumorigenesis specifically in Asian population. Mutational signatures depicted both common and distinct features across cohorts. In addition, significant copy number loss was found in 7q22.1, 9q13.1, and focal regions spanning CDKN2A and CDKN2B. FOXP1-TEX261 (2p13.3:3p13) fusion, reported in various cancer types, was firstly observed in OTSCC. Also, we identified numerous actionable mutations with FDA approved targeted. Taken together, our study revealed the mutational features of Chinese OTSCC patients, either similar or distinct to those of Caucasian patients. CDKN2A and NTRK3 were observed as two novel drivers that might play essential roles in tumorigenesis in Chinese patients, and were found as two potential therapeutic targets, rendering it promising to develop novel therapies.

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Section: Discussionsupporting

confidence: 61%

Whole-exome Sequencing Reveals Genetic Underpinnings of Tongue Carcinoma in Chinese Population

Shuhang¹,

Jiang²,

Yu³

et al. 2020

Asia-Pac J Oncol

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“…Interestingly, there is a possibility that predisposing genetic factors may be a molecular basis for the onset of oral cavity cancer. In the past [ 53 ] but also more recently, genes associated with tongue cancer have been identified as differentially regulated in patients with a history of tobacco and/or alcohol use, concerning the non-habit group [ 54 ].…”

Section: Discussionmentioning

confidence: 99%

The Impact of Alcohol Consumption and Oral Microbiota on Upper Aerodigestive Tract Carcinomas: A Pilot Study

et al. 2023

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Alcohol consumption is associated with oxidative stress and an increased risk of carcinoma of the upper aero-digestive tract (UADT). Recently, it has been found that some microorganisms in the human oral cavity may locally metabolize ethanol, forming acetaldehyde, a carcinogenic metabolite of alcohol. In a cohort of patients first visited for UADT cancers, we estimated their alcohol consumption by measuring Ethyl Glucuronide/EtG (a long-lasting metabolite of ethanol) in the hair and carbohydrate-deficient transferrin/CDT (short-term index of alcohol intake) in the serum. Moreover, we analyzed, by culture-based methods, the presence of Neisseria subflava, Streptococcus mitis, Candida albicans, and glabrata (microorganisms generating acetaldehyde) in the oral cavity. According to the EtG values, we correlated drinking alcohol with endogenous oxidative stress and the investigated microorganism’s presence. We found that 55% of heavy drinkers presented microorganisms generating acetaldehyde locally. Moreover, we found that the presence of oral acetaldehyde-producing bacteria correlates with increased oxidative stress compared to patients without such bacteria. As for the study of alcohol dehydrogenase gene polymorphisms (the enzyme that transforms alcohol to acetaldehyde), we found that only the “CGTCGTCCC” haplotype was more frequent in the general population than in carcinoma patients. This pilot study suggests the importance of estimating alcohol consumption (EtG), the presence of bacteria producing acetaldehyde, and oxidative stress as risk factors for the onset of oral carcinomas.

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“…Different cancer types have been investigated in studies using different clinical or in‐silico data types such as gene expression using DNA microarray and RNA‐seq technology, pathway and regulatory data, protein–protein interaction (PPI) data and their meta‐analysis [ 1 – 5 ]. Numerous researchers have published interesting results in the identification of biomarkers as a result of bioinformatics analysis, which can yield deep insight in understanding the biological processes of cancer oncology [ 6 , 7 ]. A high number of deaths attributable to breast cancer in women, prostate cancer in men, and lung cancer across both men and women, are observed worldwide (Cancer facts and figures 2017 and WHO cancer country profiles).…”

Section: Introductionmentioning

confidence: 99%

Fold change based approach for identification of significant network markers in breast, lung and prostate cancer

2018

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Cancer belongs to a class of highly aggressive diseases and a leading cause of death in the world. With more than 100 types of cancers, breast, lung and prostate cancer remain to be the most common types. To identify essential network markers (NMs) and therapeutic targets in these cancers, the authors present a novel approach which uses gene expression data from microarray and RNA-seq platforms and utilises the results from this data to evaluate protein-protein interaction (PPI) network. Differentially expressed genes (DEGs) are extracted from microarray data using three different statistical methods in R, to produce a consistent set of genes. Also, DEGs are extracted from RNA-seq data for the same three cancer types. DEG sets found to be common in both platforms are obtained at three fold change (FC) cut-off levels to accurately identify the level of change in expression of these genes in all three cancers. A cancer network is built using PPI data characterising gene sets at log-FC (LFC)>1, LFC>1.5 and LFC>2, and interconnection between principal hub nodes of these networks is observed. Resulting network of hubs at three FC levels highlights prime NMs with high confidence in multiple cancers as validated by Gene Ontology functional enrichment and maximal complete subgraphs from CFinder.

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Identification of genes associated with tongue cancer in patients with a history of tobacco and/or alcohol use

Cited by 8 publications

References 45 publications

Whole-exome Sequencing Reveals Genetic Underpinnings of Tongue Carcinoma in Chinese Population

Whole-exome Sequencing Reveals Genetic Underpinnings of Tongue Carcinoma in Chinese Population

The Impact of Alcohol Consumption and Oral Microbiota on Upper Aerodigestive Tract Carcinomas: A Pilot Study

Fold change based approach for identification of significant network markers in breast, lung and prostate cancer

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