An adaptive immune response driven by mature, antigen-experienced T and B cells within the microenvironment of oral squamous cell carcinoma

Background: Oral squamous cell carcinoma (OSCC) had been the sixth most common cancer worldwide. Emerging studies showed long non-coding RNAs played a key role in human cancers. However, the molecular mechanisms underlying the initiation and progression of OSCC remained to be further explored Objective: The present study aimed to identify differentially expressed lncRNAs and mRNAs in OSCC. Methods: GSE30784 was analyzed to identify differentially expressed lncRNAs and mRNAs in OSCC. Protein-protein interaction network and co-expression network analysis were performed to reveal the potential roles of OSCC related mRNAs and lncRNAs Results: In present study, we identified 21 up-regulated lncRNAs and 54 down-regulated lncRNAs in OSCC progression. Next we constructed a lncRNA related co-expression network in OSCC, which included 692 mRNAs and 2193 edges. Bioinformatics analysis showed lncRNAs were widely co-expressing with regulating type I interferon signaling pathway, extracellular matrix organization, collagen catabolic process, immune response, ECM-receptor interaction, Focal adhesion, and PI3K-Akt signaling pathway. A key network, included lncRNA C5orf66-AS1, C21orf15, LOC100506098, PCBP1-AS1, LOC284825, OR7E14P, HCG22, and FLG-AS1, were found to be involved in the regulation of immune response to tumor cell, Golgi calcium ion transport, negative regulation of vitamin D receptor signaling pathway, glycerol-3-phosphate catabolic process. Moreover, we found showed higher expression of CYP4F29P, PCBP1-AS1, HCG22, and C5orf66-AS1were associated with shorter overall survival time in OSCC samples Conclusions: We thought our analysis could provide novel insights to explore the potential mechanisms underlying OSCC progression

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Spectral Clustering of Microarray Data Elucidates the Roles of Microenvironment Remodeling and Immune Responses in Survival of Head and Neck Squamous Cell Carcinoma

Journal of Clinical Oncology ◽

10.1200/jco.2009.24.8724 ◽

2010 ◽

Vol 28 (17) ◽

pp. 2881-2888 ◽

Cited By ~ 61

Author(s):

Johanna K. Thurlow ◽

Claudia L. Peña Murillo ◽

Keith D. Hunter ◽

Francesca M. Buffa ◽

Shalini Patiar ◽

...

Keyword(s):

Immune Response ◽

Squamous Cell Carcinoma ◽

Survival Analysis ◽

Cell Carcinoma ◽

Head And Neck ◽

Microarray Data ◽

Spectral Clustering ◽

Adaptive Immune Response ◽

Adaptive Immune ◽

Gene Sets

Purpose To identify functionally related prognostic gene sets for head and neck squamous cell carcinoma (HNSCC) by unsupervised statistical analysis of microarray data. Patients and Methods Microarray analysis was performed on 14 normal oral epithelium and 71 HNSCCs from patients with outcome data. Spectral clustering (SC) analysis of the data set identified multiple vectors representing distinct aspects of gene expression heterogeneity between samples. Gene ontology (GO) analysis of vector gene lists identified gene sets significantly enriched within defined biologic pathways. The prognostic significance of these was established by Cox survival analysis. Results The most influential SC vectors were V2 and V3. V2 separated normal from tumor samples. GO analysis of V2 gene lists identified pathways with heterogeneous expression between HNSCCs, notably focal adhesion (FA)/extracellular matrix remodeling and cytokine-cytokine receptor (CR) interactions. Similar analysis of V3 gene lists identified further heterogeneity in CR pathways. V2CR genes represent an innate immune response, whereas high expression of V3CR genes represented an adaptive immune response that was not dependent on human papillomavirus status. Survival analysis demonstrated that the FA gene set was prognostic of poor outcome, whereas classification for adaptive immune response by the CR gene set was prognostic of good outcome. A combined FA&CR model dramatically exceeded the performance of current clinical classifiers (P < .001 in our cohort and, importantly, P = .007 in an independent cohort of 60 HNSCCs). Conclusion The application of SC and GO algorithms to HNSCC microarray data identified gene sets highly significant for predicting patient outcome. Further large-scale studies will establish the usefulness of these gene sets in the clinical management of HNSCC.

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14-3-3ζ Regulates Immune Response through Stat3 Signaling in Oral Squamous Cell Carcinoma

Molecules and Cells ◽

10.14348/molcells.2015.02101 ◽

2014 ◽

Vol 38 (2) ◽

pp. 112-121 ◽

Cited By ~ 15

Author(s):

Xinguang Han ◽

Yongfu Han ◽

Huifeng Jiao ◽

Yaqiong Jie

Keyword(s):

Immune Response ◽

Squamous Cell Carcinoma ◽

Oral Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Squamous Cell ◽

Stat3 Signaling

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PD-L1 expression correlated with p53 expression in oral squamous cell carcinoma

Maxillofacial Plastic and Reconstructive Surgery ◽

10.1186/s40902-019-0239-8 ◽

2019 ◽

Vol 41 (1) ◽

Cited By ~ 3

Author(s):

Itaru Tojyo ◽

Yukari Shintani ◽

Takashi Nakanishi ◽

Kenjiro Okamoto ◽

Yukihiro Hiraishi ◽

...

Keyword(s):

Immune Response ◽

Squamous Cell Carcinoma ◽

Oral Squamous Cell Carcinoma ◽

Cell Carcinoma ◽

Tumor Cells ◽

Squamous Cell ◽

Tnm Stage ◽

Disease Specific Survival ◽

P53 Expression ◽

Disease Specific

Abstract Background Programmed cell death ligand 1 (PD-L1) is an immune checkpoint molecule that attenuates the immune response. PD-L1 contributes to failed antitumor immunity; thereby, blockade of PD-L1 with monoclonal antibody enhances the immune response. Recently, it was reported that PD-L1 was regulated by protein 53 (p53). Besides, cytokeratin 17 (CK17) is thought to be a diagnostic marker of oral squamous cell carcinoma (OSCC). Our aim was to evaluate the correlation between the immunohistochemical expression of PD-L1, p53 and CK17 with clinicopathological characteristics and disease-specific survival in patients with OSCC. Methods A total of 48 patients with OSCC were included in this study. Immunohistochemical staining was performed to evaluate the correlation among the expressions of PD-L1, p53 and CK17, and furthermore the correlation among various clinicopathological factors, PD-L1, p53 and CK17. Results The positive rate of p53, CK17, PD-L1 (tumor cells) and PD-L1 (tumor-infiltrating lymphocytes) was 63.2%, 91.7%, 48.9% and 57.1%. A statistically significant correlation between p53 expression and T stage and TNM stage (p = 0.049, p = 0.03, respectively) was observed. Also, a statistically significant correlation between p53 and PD-L1 (TCs) expression (p = 0.0009) was observed. Five-year disease-specific survival rate was not significantly correlated with gender, TNM stage, p53 expression, PD-L1 expression and CK17 expression. Conclusion The expression of p53 and PD-L1 shows significantly positive correlation in oral squamous cell carcinoma in tumor cells. Also, a significant correlation between p53 expression and T stage and TNM stage was observed. No other significant correlation between PD-L1 staining or CK17 and clinical or pathologic characteristics was identified.

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