scholarly journals Levels of TGF-α and EGFR Protein in Head and Neck Squamous Cell Carcinoma and Patient Survival

1998 ◽  
Vol 90 (11) ◽  
pp. 824-832 ◽  
Author(s):  
Jennifer Rubin Grandis ◽  
Mona F. Melhem ◽  
William E. Gooding ◽  
Roger Day ◽  
Valerie A. Holst ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Patient Survival ◽  
Neck Squamous Cell Carcinoma

scholarly journals Single-Cell Spatial Proteomics Analyses of Head and Neck Squamous Cell Carcinoma Reveal Tumor Heterogeneity and Immune Architectures Associated with Clinical Outcome

2021 ◽  
Author(s):  
Katie E. Blise ◽  
Shamilene Sivagnanam ◽  
Grace L. Banik ◽  
Lisa M. Coussens ◽  
Jeremy Goecks
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Single Cell ◽  
Squamous Cell ◽  
Immune Cells ◽  
Spatial Organization ◽  
Patient Survival ◽  
Response To Therapy ◽  
Neck Squamous Cell Carcinoma

ABSTRACTRecent research has provided compelling evidence that the spatial organization of cells within the tumor-immune microenvironment (TiME) of solid tumors correlates with survival and response to therapy in numerous cancer types. Here, we report results of a quantitative single-cell spatial analysis of the TiME of primary and recurrent human head and neck squamous cell carcinoma (HNSCC) tumors, that builds upon our initial longitudinal study of these same HNSCCs that annotated immune complexity at near single cell resolution. Herein, we extended multiple spatial algorithms to quantify spatial landscapes of immune cells within TiMEs. Most notably, we report that spatial compartmentalization, rather than mixing, between neoplastic tumor cells and immune cells is associated with longer patient survival, as well as revealing mesenchymal spatial cellular neighborhoods and their association with improved patient outcomes. Results reported herein are concordant with studies in other tumor types, thus indicating that cellular heterogeneity within tumors trends with spatial TiME features, and are likely prognostic for patient survival.

scholarly journals The Landscape of Transmembrane Protein Family Members in Head and Neck Cancers: Their Biological Role and Diagnostic Utility

Cancers ◽  
2021 ◽  
Vol 13 (19) ◽  
pp. 4737
Author(s):  
Oliwia Koteluk ◽  
Antonina Bielicka ◽  
Żaneta Lemańska ◽  
Kacper Jóźwiak ◽  
Weronika Klawiter ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Immune Cell ◽  
Patient Survival ◽  
Gene Set Enrichment Analysis ◽  
Neck Squamous Cell Carcinoma ◽  
Expression Levels

Background: Transmembrane proteins (TMEM) constitute a large family of proteins spanning the entirety of the lipid bilayer. However, there is still a lack of knowledge about their function or mechanism of action. In this study, we analyzed the expression of selected TMEM genes in patients with head and neck squamous cell carcinoma (HNSCC) to learn their role in tumor formation and metastasis. Materials and Methods: Using TCGA data, we analyzed the expression levels of different TMEMs in both normal and tumor samples and compared those two groups depending on clinical-pathological parameters. We selected four TMEMs whose expression was highly correlated with patient survival status and subjected them to further analysis. The pathway analysis using REACTOME and the gene set enrichment analysis (GSEA) were performed to evaluate the association of those TMEMs with genes involved in hallmarks of cancer as well as in oncogenic and immune-related pathways. In addition, the fractions of different immune cell subpopulations depending on TMEM expression were estimated in analyzed patients. The results for selected TMEMs were validated using GEO data. All analyses were performed using the R package, Statistica, and Graphpad Prism. Results: We demonstrated that 73% of the analyzed TMEMs were dysregulated in HNSCC and depended on tumor localization, smoking, alcohol consumption, or HPV infection. The expression levels of ANO1, TMEM156, TMEM173, and TMEM213 correlated with patient survival. The four TMEMs were also upregulated in HPV-positive patients. The elevated expression of those TMEMs correlated with the enrichment of genes involved in cancer-related processes, including immune response. Specifically, overexpression of TMEM156 and TMEM173 was associated with immune cell mobilization and better survival rates, while the elevated ANO1 expression was linked with metastasis formation and worse survival. Conclusions: In this work, we performed a panel of in silico analyses to discover the role of TMEMs in head and neck squamous cell carcinoma. We found that ANO1, TMEM156, TMEM173, and TMEM213 correlated with clinical status and immune responses in HNSCC patients, pointing them as biomarkers for a better prognosis and treatment. This is the first study describing such the role of TMEMs in HNSCC. Future clinical trials should confirm the potential of those genes as targets for personalized therapy of HNSCC.

scholarly journals Identification of a minimal biomarker profile in head-and-neck squamous cell carcinoma tumors

2021 ◽  
Author(s):  
Laura Sanchez-Diaz ◽  
Lola E Navas ◽  
Elisa Suarez-Martinez ◽  
Blanca Felipe-Abrio ◽  
Ceres Fernandez-Rozadilla ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Cell Carcinoma ◽  
Head And Neck ◽  
Squamous Cell ◽  
Molecular Mechanisms ◽  
Patient Survival ◽  
Embryonic Stem ◽  
Neck Squamous Cell Carcinoma ◽  
Cytokine Signaling ◽  
Transcriptional Targets

Although important advances have been made in the knowledge of the molecular mechanisms leading to the development, of head and neck squamous cell carcinoma (HNSCC), only PDL1 is used for the immunotherapy (pemborlizumab) treatment in the first line of metastatic or recurrent disease. There are no other molecular bio-markers currently used in clinical practice. The objective of the study was to identify transcriptional alterations in patients with oral cavity cancer that identify gene networks responsible for resistance to treatment and prognosis. To identify possible targets for the treatment or prevention of these tumors, we screened for changes in transcription of genes that were recurrently altered in patients and that successfully stratify tumoral and non-tumoral samples, as well as patient survival, based on expression levels. The gene panels are primarily related to the cell cycle, DNA damage response, cytokine signaling and the immune system but also to the embryonic stem cell core. Validation of these panels in an independent cohort led to the identification of three non-interconnected genes, WDR66, SERPINH1 and ZNF622, that can predict patient survival and are differentially expressed in 3D cultures from HNSCC primary cell lines. These genes are related to stemness phenotype are transcriptional targets of the pluripotency transcription factors Sox2 and c-Myc. Our results suggest that WDR66, SERPINH1 and ZNF622 constitute a minimal signature of stemness transcriptional targets able to predict the prognosis of HNSCC tumors.

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