scholarly journals Performance of an Oral Rinse Point-of-Care Assay to Aid in the Diagnosis of Head and Neck Squamous Cell Carcinoma in a High-Risk Danish Ear-Nose Throat Clinic

2018 ◽  
Vol 100 (5) ◽  
pp. 1331-1332
Author(s):  
D. Hellelstrup ◽  
M. Donovan ◽  
E. Franzmann ◽  
M. Klokker
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Point Of Care ◽  
Neck Squamous Cell Carcinoma ◽  
Oral Rinse ◽  
Point Of Care Assay

scholarly journals PO-130: Postoperative radiotherapy for high-risk head and neck squamous cell carcinoma

2019 ◽  
Vol 141 ◽  
pp. S55
Author(s):  
Y. Hamamoto ◽  
S. Tsuruoka ◽  
N. Takata ◽  
H. Ishikawa ◽  
K. Nagasaki ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Postoperative Radiotherapy ◽  
Neck Squamous Cell Carcinoma

scholarly journals Cleaved NOTCH1 Expression Pattern in Head and Neck Squamous Cell Carcinoma Is Associated with NOTCH1 Mutation, HPV Status, and High-Risk Features

2015 ◽  
Vol 8 (4) ◽  
pp. 287-295 ◽  
Author(s):  
Eleni M. Rettig ◽  
Christine H. Chung ◽  
Justin A. Bishop ◽  
Jason D. Howard ◽  
Rajni Sharma ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Expression Pattern ◽  
Squamous Cell ◽  
Neck Squamous Cell Carcinoma ◽  
Hpv Status

Phase ib trial of dose-escalating AZD1775 in combination with concurrent radiation and cisplatin for intermediate and high risk head and neck squamous cell carcinoma.

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. TPS6106-TPS6106 ◽  
Author(s):  
Bhishamjit S. Chera ◽  
Gaorav P. Gupta ◽  
Jared Weiss ◽  
Juneko E. Grilley-Olson ◽  
Dominic T. Moore ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Neck Squamous Cell Carcinoma ◽  
Phase Ib ◽  
Dose Escalating

PO-137: Multivariate oral rinse models predict Head and Neck squamous cell carcinoma (HNSCC)

2017 ◽  
Vol 122 ◽  
pp. 66
Author(s):  
M. Donovan ◽  
I. Reis ◽  
K. Curtis ◽  
F. Khan ◽  
E. Franzmann
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Neck Squamous Cell Carcinoma ◽  
Oral Rinse

scholarly journals Incidence of head and neck squamous cell carcinoma among subjects at high risk of lung cancer: Results from the Pittsburgh Lung Screening Study

Cancer ◽  
2015 ◽  
Vol 121 (9) ◽  
pp. 1431-1435 ◽  
Author(s):  
Ronak Dixit ◽  
Joel L. Weissfeld ◽  
David O. Wilson ◽  
Paula Balogh ◽  
Pamela Sufka ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Neck Squamous Cell Carcinoma ◽  
Screening Study ◽  
Lung Screening

scholarly journals Gene Model Related to m6A Predicts the Prognostic Effect of Immune Infiltration on Head and Neck Squamous Cell Carcinoma

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yaping Deng ◽  
Kehua Li ◽  
Fengwu Tan ◽  
Hanbo Liu
Keyword(s):  
Immune Response ◽  
Squamous Cell Carcinoma ◽  
High Risk ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Risk Score ◽  
Squamous Cell ◽  
Immune Checkpoint ◽  
Neck Squamous Cell Carcinoma ◽  
Immune Microenvironment

Head and neck squamous cell carcinoma (HNSCC) is a highly aggressive solid tumor. Because most studies have focused on the intrinsic carcinogenic pathways of tumors, we focused on the relationship between N6-methyladenosine (m6A) and the prognosis of HNSCC in the tumor immune microenvironment. We downloaded RNA-seq data from the TCGA dataset and used univariate Cox regression to screen m6A-related lncRNAs. The expression value of LASSO-screened genes was the sum of LASSO regression coefficients. We then evaluated relationships between the risk score and cellular components or cellular immune response. Differences in immune response under various algorithms were visualized with heat maps. The GSVA package in R was used to analyze GO, BP, KEGG, and hallmark gene sets of immune checkpoint clusters and immune checkpoint scores. The GSEA analysis was performed with the cluster profile package, yielding 21 m6A genes. Related lncRNAs were screened with Pearson’s correlations, and the resulting 442 lncRNAs were screened using single-factor analysis. Eight lncRNAs closely related to prognosis were identified through survival random forest. Survival analysis showed that patients with a high risk score had a poor prognosis. Low- and high-risk-score groups differed significantly in m6A gene expression. Prognostic scores from different algorithms were significantly correlated with B cells, T cells, and memory cells in the immune microenvironment. Expression of immune checkpoints and signal pathways differed significantly across risk-score groups, suggesting that m6A could mediate lncRNA-induced immune system dysfunction and affect HNSCC development. A comprehensive study of tumor-cell immune characteristics should provide more insight into the complex immune microenvironment, thus contributing to the development of new immunotherapeutic agents.

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