scholarly journals Novel Prognostic Model Based on Immune Signature for Head and Neck Squamous Cell Carcinoma

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Yingying Wang ◽  
Yu Xu ◽  
Qingquan Hua ◽  
Yang Jiang ◽  
Peiqiang Liu ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Prognostic Model ◽  
Predictive Biomarkers ◽  
Neck Squamous Cell Carcinoma ◽  
Clinicopathological Parameters ◽  
Immune Signature ◽  
Model Based

Background. Deciphering the immune characteristics within tumors and identifying the immune signals related to the prognostic factor are helpful for the treatment and management of tumor patients. However, systematic analysis of immune signatures in head and neck squamous cell carcinoma (HNSCC) remains largely unstudied. Methods. A total of 718 immune-related genes were extracted from RNA sequencing data from 519 HNSCC patients in the TCGA database, and survival analysis with integrated bioinformatics analyses was performed to build the final predictive prognosis model. Results. The 178 survival-associated genes ( P < 0.05 ) participated in important immune functions, including immune cell activation and migration. Multivariate regression analysis using 93 genes ( P < 0.01 ), together with survival-associated clinicopathological parameters, identified 35 independent prognostic factors. The most significant 8 independent factors were CD3E, CD40LG, TNFRSF4, CD3G, CD5, ITGA2B, ABCB1, and TNFRSF13b. The final prognostic model achieved outstanding predictive efficiency with the highest AUC of 0.963. Conclusion. Our prognostic model based on the immune signature could effectively predict the prognosis of HNSCC patients, providing novel predictive biomarkers and potential therapeutic targets for HNSCC patients.

scholarly journals HOXB7 acts as an oncogenic biomarker in head and neck squamous cell carcinoma

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Xiang Wu ◽  
Jin Li ◽  
Tingyuan Yan ◽  
Xueping Ke ◽  
Xin Li ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Expression Pattern ◽  
Squamous Cell ◽  
Neck Squamous Cell Carcinoma ◽  
Clinicopathological Parameters ◽  
Migration And Invasion ◽  
Connectivity Map

Abstract Background The homeobox gene Homeobox B7 (HOXB7) is overexpressed across a range of cancers and promotes tumorigenesis through varying effects on proliferation, survival, migration and invasion. However, its expression pattern and oncogenic role of HOXB7 in head and neck squamous cell carcinoma (HNSCC) remain largely unexplored. Here, we aimed to explore the expression pattern of HOXB7, its clinical significance as well as functional roles in HNSCC. Methods HOXB7 mRNA expression in HNSCC was determined by data mining and analyses from TCGA (The Cancer Genome Atlas) and GEO (Gene Expression Omnibus) datasets. The protein abundance of HOXB7 was measured by immunohistochemistry in 119 primary HNSCC samples and associations between its expression and clinicopathological parameters and patient survival were evaluated. The pro-tumorigenic roles of HOXB7 in HNSCC were further delineated in vitro by loss-of-function assay. And a xenograft tumor model was established in nude mice to assess the role of HOXB7 in tumor growth. Connectivity Map (CMap) analysis was performed to identify bioactive small molecules which might be potential inhibitors for HOXB7. Results Bioinformatics analyses showed that HOXB7 mRNA was significantly overexpressed in 8 independent HNSCC datasets from TCGA and GEO databases. HOXB7 protein was markedly upregulated in HNSCC samples as compared to normal counterparts and its overexpression significantly associated with high pathological grade, advanced clinical stage, cervical node metastasis (P = 0.0195, 0.0152, 0.0300) and reduced overall and disease-free survival (P = 0.0014, 0.0007). Univariate and multivariate Cox regression analyses further revealed HOXB7 as an independent prognostic factor for patients’ overall survival. Moreover, HOXB7 knockdown significantly inhibited cell proliferation, migration and invasion and induced cell apoptosis in HNSCC cells, and resulted in compromised tumour growth in vivo. Furthermore, CMap (Connectivity map) analysis has identified three potential bioactive small molecule inhibitors (NU-1025, thiamine, vinburnine) for HOXB7 targeted therapy in HNSCC. Conclusions Our findings revealed that overexpression of HOXB7 was associates with tumour aggressiveness and unfavourable prognosis by serving a novel prognostic biomarker in HNSCC. Moreover, HOXB7 might be involved in the development and progression of HNSCC as an oncogene, and thereby might be a potential therapeutic target for HNSCC.

OC-0642 A radiomics based prognostic model for patients with head and neck squamous cell carcinoma

2021 ◽  
Vol 161 ◽  
pp. S509-S510
Author(s):  
S. Keek ◽  
F. Wesseling ◽  
H. Woodruff ◽  
J. van Timmeren ◽  
I. Nauta ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Prognostic Model ◽  
Neck Squamous Cell Carcinoma

scholarly journals A panel of Transcription factors identified by data mining can predict the prognosis of head and neck squamous cell carcinoma

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Boxin Zhang ◽  
Haihui Wang ◽  
Ziyan Guo ◽  
Xinhai Zhang
Keyword(s):  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
Transcription Factors ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Risk Score ◽  
Squamous Cell ◽  
Gene Set Enrichment Analysis ◽  
Neck Squamous Cell Carcinoma ◽  
Clinicopathological Parameters

Abstract Background Transcription factors (TFs) are responsible for the regulation of various activities related to cancer like cell proliferation, invasion, and migration. It is thought that, the measurement of TFs levels could assist in developing strategies for diagnosis and prognosis of cancer detection. However, due to lack of effective genome-wide tests, this cannot be carried out in clinical settings. Methods A complete assessment of RNA-seq data in samples of a head and neck squamous cell carcinoma (HNSCC) cohort in The Cancer Genome Atlas (TCGA) database was carried out. From the expression data of six TFs, a risk score model was developed and further validated in the GSE41613 and GSE65858 series. Potential functional roles were identified for the six TFs via gene set enrichment analysis. Results Based on our multi-TF signature, patients are stratified into high- and low-risk groups with significant variations in overall survival (OS) (median survival 2.416 vs. 5.934 years, log-rank test P < 0.001). The sensitivity and specificity evaluation of our multi-TF for 3-year OS in TCGA, GSE41613 and GSE65858 was 0.707, 0.679 and 0.605, respectively, demonstrating good reproducibility and robustness for predicting overall survival of HNSCC patients. Through multivariate Cox regression analyses (MCRA) and stratified analyses, we confirmed that the predictive capability of this risk score (RS) was not dependent on any of other factors like clinicopathological parameters. Conclusions With the help of a RS obtained from a panel of TFs expression signatures, effective OS prediction and stratification of HNSCC patients can be carried out.

Current Treatment Options for Recurrent or Metastatic Head and Neck Squamous Cell Carcinoma

2015 ◽  
Vol 33 (29) ◽  
pp. 3305-3313 ◽  
Author(s):  
Assuntina G. Sacco ◽  
Ezra E. Cohen
Keyword(s):  
Squamous Cell Carcinoma ◽  
Clinical Trials ◽  
Human Papillomavirus ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Best Management Practices ◽  
Management Practices ◽  
Predictive Biomarkers ◽  
Neck Squamous Cell Carcinoma

This review highlights the evidence-based data to support current best management practices for patients with recurrent and/or metastatic (R/M) head and neck squamous cell carcinoma (HNSCC). Current limitations and areas of emerging therapeutics are also emphasized. The cornerstone of palliation for patients with R/M HNSCC is a platinum-based backbone. Platinum doublets induce higher response rates than single agents but do not demonstrate a survival advantage and are associated with increased toxicity. The only regimen to demonstrate survival superiority is platinum, fluorouracil, and cetuximab, a monoclonal antibody directed against the epidermal growth factor receptor (EGFR). EGFR inhibitors, including monoclonal antibodies and tyrosine kinase inhibitors, have achieved only modest success in R/M HNSCC, illustrating the importance of identifying predictive biomarkers and finding ways to overcome mechanisms of resistance. Although phosphoinositide 3-kinase pathway alterations are present at a high rate in HNSCC, the identification of efficacious agents in patients with activating alterations has yet to be discovered. Immunotherapy represents an attractive treatment strategy for R/M HNSCC, with promising preliminary data from studies involving immune checkpoint blockade and toll-like receptor agonists. Human papillomavirus has a prognostic role in R/M disease; therefore, stratification of patients by human papillomavirus status in clinical trials is indicated. Although under-represented in clinical trials, elderly patients experience similar survival outcomes compared with younger patients, albeit with increased toxicity. Despite therapeutic advances, prognosis nonetheless remains poor for patients with R/M HNSCC. Enrollment of patients onto clinical trials to investigate novel therapeutics and identify predictive biomarkers is necessary to further refine and improve outcomes.

scholarly journals Development and Validation of a Three-Gene-Based Prognostic Model for Predicting the Overall Survival of Head and Neck Squamous Cell Carcinoma Through Bioinformatics Analysis

2022 ◽  
Vol 12 ◽  
Author(s):  
Yiyuan Han ◽  
Xiaolin Cao ◽  
Xuemei Wang ◽  
Qing He
Keyword(s):  
Overall Survival ◽  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Prognostic Model ◽  
Neck Squamous Cell Carcinoma ◽  
Joint Analysis ◽  
Individual Treatment ◽  
Survival Prediction

Head and neck squamous cell carcinoma (HNSCC) is one of the most common cancer worldwide and seriously threats public health safety. Despite the improvement of diagnostic and treatment methods, the overall survival for advanced patients has not improved yet. This study aimed to sort out prognosis-related molecular biomarkers for HNSCC and establish a prognostic model to stratify the risk hazards and predicate the prognosis for these patients, providing a theoretical basis for the formulation of individual treatment plans. We firstly identified differentially expressed genes (DEGs) between HNSCC tissues and normal tissues via joint analysis based on GEO databases. Then a total of 11 hub genes were selected for single-gene prognostic analysis to identify the prognostic genes. Later, the clinical information and transcription information of HNSCC were downloaded from the TCGA database. With the application of least absolute shrinkage and selection operator (LASSO) algorithm analyses for the prognostic genes on the TCGA cohort, a prognostic model consisting of three genes (COL4A1, PLAU and ITGA5) was successfully established and the survival analyses showed that the prognostic model possessed a robust performance in the overall survival prediction. Afterward, the univariate and multivariate regression analysis indicated that the prognostic model could be an independent prognostic factor. Finally, the predicative efficiency of this model was well confirmed in an independent external HNSCC cohort.

Identification of factors related to immunotherapy prognosis in patients with advanced head and neck squamous cell carcinoma.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e18003-e18003
Author(s):  
Lin Zhang ◽  
Xuanli Xu ◽  
Dandan Ren ◽  
Lijia Wu ◽  
Xiaoli Gong ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Immune Cells ◽  
Checkpoint Inhibitors ◽  
Predictive Biomarkers ◽  
Pi3k Pathway ◽  
Neck Squamous Cell Carcinoma ◽  
Dismal Prognosis

e18003 Background: Head and neck squamous cell carcinoma (HNSCC) is often diagnosed at an advanced stage and has a dismal prognosis. Anti-PD1/PD-L1 checkpoint inhibitors have shown survival benefit for the treatment on HNSCC, and are better tolerated than chemotherapy. Unfortunately, the response rate of immunotherapy is low for advanced HNSCC. Therefore, the identification of predictive biomarkers of response to anti-PD1/PD-L1 is a key point for better selecting patients that would benefit from immunotherapy. Methods: The present study included 44 patients with advanced HNSCC who received anti-PD-1 immunotherapy. Follow-up was available for them. Primary tumor tissues and matched blood samples were collected. Genome profiles were analyzed using a designed 543-gene panel based on NGS, and were available on 39 of 44 patients. Profiles of infiltrating immune cells were available for 44 patients. The infiltrating intensity of PD-1, PD-L1, CD8, CD68 and CD57 positive cells were assessed by multiplex immunohistochemistry. Results: The most frequently mutated genes were TP53 (79%), CDKN2A (33%), NOTCH1 (21%), CASP8 (13%) and PIK3CA (10%). Patients with mutations in the PI3K pathway showed a trend of longer OS (P = 0.06). Moreover, the TMB-high group showed significant superior OS than the TMB-low group (p = 0.0018). PD-L1 expression was positively correlated with CD8 expression within stroma, and PD-1 expression correlated significantly with PD-L1 and CD8 expression within both tumor and stroma areas. In addition, tumor/stromal PD-L1 and PD-1 expression were both associated with better OS (P < 0.05). Prolonged OS was also observed in patients with more tumor and stromal infiltration of CD8+ cells, CD8+PD-L1+ cells, CD68+ macrophages, or nature killer (NK, CD57+) cells. Conclusions: Higher TMB, PD-L1 expression, as well as the infiltration of immune cells within both tumor and stromal area might serve as favorable prognostic markers in advanced HNSCC patients treated with anti-PD-1 immunotherapy.

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