scholarly journals TLR5 and TLR7 are differentially expressed in human papillomavirus-positive and negative base of tongue squamous cell carcinoma, and TLR7 may have an independent prognostic influence

2019 ◽  
Vol 139 (2) ◽  
pp. 206-210 ◽  
Author(s):  
Linnea Haeggblom ◽  
Anders Näsman ◽  
Torbjörn Ramqvist ◽  
Caj Haglund ◽  
Jaana Hagström ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Human Papillomavirus ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Tongue Squamous Cell Carcinoma ◽  
Differentially Expressed ◽  
Base Of Tongue ◽  
Negative Base

scholarly journals Prognostic Markers and Driver Genes and Options for Targeted Therapy in Human-Papillomavirus-Positive Tonsillar and Base-of-Tongue Squamous Cell Carcinoma

Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 910
Author(s):  
Anders Näsman ◽  
Stefan Holzhauser ◽  
Ourania N. Kostopoulou ◽  
Mark Zupancic ◽  
Andreas Ährlund-Richter ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Human Papillomavirus ◽  
Targeted Therapy ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Disease Free Survival ◽  
Tongue Squamous Cell Carcinoma ◽  
Patient Treatment ◽  
Cancer Genes ◽  
Base Of Tongue

The incidence of Human-papillomavirus-positive (HPV+) tonsillar and base-of-tongue squamous cell carcinoma (TSCC and BOTSCC, respectively) is increasing epidemically, but they have better prognosis than equivalent HPV-negative (HPV−) cancers, with roughly 80% vs. 50% 3-year disease-free survival, respectively. The majority of HPV+ TSCC and BOTSCC patients therefore most likely do not require the intensified chemoradiotherapy given today to head and neck cancer patients and would with de-escalated therapy avoid several severe side effects. Moreover, for those with poor prognosis, survival has not improved, so better-tailored alternatives are urgently needed. In line with refined personalized medicine, recent studies have focused on identifying predictive markers and driver cancer genes useful for better stratifying patient treatment as well as for targeted therapy. This review presents some of these endeavors and briefly describes some recent experimental progress and some clinical trials with targeted therapy.

MicroRNA-155, -185 and -193b as biomarkers in human papillomavirus positive and negative tonsillar and base of tongue squamous cell carcinoma

Oral Oncology ◽  
2018 ◽  
Vol 82 ◽  
pp. 8-16 ◽  
Author(s):  
Cinzia Bersani ◽  
Michael Mints ◽  
Nikolaos Tertipis ◽  
Linnea Haeggblom ◽  
Anders Näsman ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Human Papillomavirus ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Tongue Squamous Cell Carcinoma ◽  
Base Of Tongue

scholarly journals Psoriasin expression is associated with survival in patients with human papillomavirus-positive base of tongue squamous cell carcinoma

2021 ◽  
Vol 21 (4) ◽  
Author(s):  
Mark Zupancic ◽  
Linnea Haeggblom ◽  
David Landin ◽  
Linda Marklund ◽  
Tina Dalianis ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Human Papillomavirus ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Tongue Squamous Cell Carcinoma ◽  
Base Of Tongue

Radiotherapy alone or combined with chemotherapy for base of tongue squamous cell carcinoma

2017 ◽  
Vol 127 (7) ◽  
pp. 1589-1594 ◽  
Author(s):  
Kaitlin Christopherson ◽  
Christopher G. Morris ◽  
Jessica M. Kirwan ◽  
Robert J. Amdur ◽  
Peter T. Dziegielewski ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Tongue Squamous Cell Carcinoma ◽  
Base Of Tongue ◽  
Radiotherapy Alone

Association of polymorphisms in genes related to cell cycle (ERP29, LEF1, MCC and PTCH1) and DNA transcription factors (IKBKAP and ZNF415) with base of tongue squamous cell carcinoma risk.

2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 6073-6073
Author(s):  
Carmen Silvia Passos Lima ◽  
Benilton Carvalho ◽  
Renata Pellegrino ◽  
Leticia Khater ◽  
Carlos Takahiro Chone ◽  
...  
Keyword(s):  
Cell Cycle ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Dna Microarrays ◽  
Tongue Squamous Cell Carcinoma ◽  
Nucleotide Polymorphisms ◽  
Dna Transcription ◽  
Base Of Tongue ◽  
First Time

6073 Background: Recently, we found 6.609 genetic single nucleotide polymorphisms (SNPs) with distinct frequencies between base of tongue squamous cell carcinoma (BTSCC) patients and controls. The study was performed using high-resolution DNA microarrays genotyping (Affymetrix). The SNPs identified never have been previously described with BTSCC risk. Some SNPs of interest were located in genes related to cell cycle (ERP29, LEF1, MCC and PTCH1) and DNA transcription (IKBKAP and ZNF415) and they were selected to validation process. Objective: Validate the SNPs ERP29 c.*293A>G (rs7114); LEF1 c.*1213A>G (rs2107028) and g.127267A>G (rs4245926); MCC c.*5077A>G (rs7033); PTCH1 g.27369025G>A (rs16909856) and g.27369324G>A (rs16909859); IKBKAP c.3214T>A (rs3204145) and ZNF415 c.*443A>G (rs3814) associated to BTSCC risk. Methods: Genomic DNA from 49 BTSCC patients and 49 controls was genotyping by TaqMan assays (Applied Biosystems). The differences between groups were analyzed by logistic regression model. Power analysis (PA) was used to verify the effect of sample size on the results obtained. Results: Eight SNPs identified by Affymetrix were validated by TaqMan assays. The frequencies of ERP29 c.*293AG+GG (30 vs 11%, P=0.03; PA=65%), LEF1 c.*1213AA+AG (95 vs 80%, P=0.02; PA=61%) and g.127267AA+AG (93 vs 78%, P=0.02; PA=56%), MCC c.*5077AA+AG (85 vs 64%, P=0.008; PA=67%), PTCH1 g.27369025GG+GA (90 vs 73%, P=0.005; PA=58%) and g.27369324GG+GA (90 vs 73%, P=0.008; PA=58%), IKBKAP c.3214TT+TA (90 vs 72%, P=0.01; PA=62%) and ZNF415 c.*443AA+AG (59 vs 41%, P=0.02; PA=43%) were more common in patients than in controls. Individuals with these genotypes were at 2.9(CI95%: 1.1-8.4), 3.9 (CI95%: 1.4-11.2), 4.0 (CI95%: 1.2-14.7), 3.5 (CI95%: 1.2-11.9), 5.0 (CI95%: 1.7-16.9), 4.5 (CI95%: 1.5-15.2), 4.1 (CI95%: 1.4-12.9), and 3.9 (CI95%: 1.2-13.7)-fold increased risks for BTSCC than others, respectively. Conclusions: Our data present for the first time evidence that inherited abnormalities in ERP29, MCC, LEF1, PTCH1, IKBKAP, and ZNF415 genes may be important determinants of BTSCC. Financial support: FAPESP and FINEP.

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

PeerJ ◽  
2019 ◽  
Vol 7 ◽  
pp. e6991 ◽  
Author(s):  
Yidan Song ◽  
Yihua Pan ◽  
Jun Liu
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Regulatory Network ◽  
Curve Analysis ◽  
Tongue Squamous Cell Carcinoma ◽  
Differentially Expressed ◽  
High Expression ◽  
Kaplan Meier ◽  
Competitive Endogenous Rna

BackroundTongue 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.MethodsIn 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.ResultsThe 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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