Project description:We examined the 4-nitroquinoline-1-oxide (4NQO)-induced oral squamous cell carcinoma (OSCC) model for genetic aberrations, transcriptomic profile, and immune cell compositions at different pathological stages.
Project description:Oral squamous cell carcinoma (OSCC) is the most common malignancy of the oral cavity and despite therapeutic advances, late-stage diagnoses continue to negatively affect survival, presenting a continuing challenge for clinicians. Detailed molecular characterization by recent bulk and single-cell RNA-sequencing datasets from OSCC suggest that identification of prognostic biomarkers may lead to more targeted therapies, improving patient outcomes. Development of OSCC is associated with exposure to tobacco, alcohol consumption, and infection with human papillomavirus. The mouse model of 4-Nitroquinoline 1-oxide (4NQO) carcinogenesis produces a spectrum of neoplastic lesions that are a robust model of tobacco-induced OSCC. Specifically, studies have shown that similar to human OSCC, mouse OSCC shows upregulation of the oncogenic master transcription factor p63. We performed complementary loss- and gain-of-function experiments of p63 in mouse 4NQO-transformed OSCC cell lines and utilized RNA-sequencing and ChIP-sequencing to uncover the p63 oncogenic network. By combining our signature with publicly available bulk and scRNA-seq data, we generated a murine p63 signature that we have utilized to better understand the role of p63 in mOSCC. Our analyses have identified several potential biomarkers and conserved pathways that are relevant to hOSCC, as well as highlighted the dynamic role of p63 in migration and invasion.
Project description:Oral squamous cell carcinoma (OSCC) is the most common malignancy of the oral cavity and despite therapeutic advances, late-stage diagnoses continue to negatively affect survival, presenting a continuing challenge for clinicians. Detailed molecular characterization by recent bulk and single-cell RNA-sequencing datasets from OSCC suggest that identification of prognostic biomarkers may lead to more targeted therapies, improving patient outcomes. Development of OSCC is associated with exposure to tobacco, alcohol consumption, and infection with human papillomavirus. The mouse model of 4-Nitroquinoline 1-oxide (4NQO) carcinogenesis produces a spectrum of neoplastic lesions that are a robust model of tobacco-induced OSCC. Specifically, studies have shown that similar to human OSCC, mouse OSCC shows upregulation of the oncogenic master transcription factor p63. We performed complementary loss- and gain-of-function experiments of p63 in mouse 4NQO-transformed OSCC cell lines and utilized RNA-sequencing and ChIP-sequencing to uncover the p63 oncogenic network. By combining our signature with publicly available bulk and scRNA-seq data, we generated a murine p63 signature that we have utilized to better understand the role of p63 in mOSCC. Our analyses have identified several potential biomarkers and conserved pathways that are relevant to hOSCC, as well as highlighted the dynamic role of p63 in migration and invasion.
Project description:To investigate the cellular heterogeneity and molecular drivers of oral squamous cell carcinoma (OSCC), we performed single-cell RNA sequencing (scRNA-seq) on tongue tissues from a 4-nitroquinoline 1-oxide (4-NQO)-induced mouse model. This dataset revealed eight distinct cell populations, with a significant reduction in epithelial cells and an increase in fibroblasts in OSCC compared to controls. Notably, a distinct Col1a1⁺ epithelial subpopulation was identified that exhibited the highest epithelial-mesenchymal transition (EMT) signature and was significantly expanded in OSCC. This study provides a valuable resource for understanding the transcriptional landscape and cellular dynamics underlying OSCC progression.
Project description:Oral squamous cell carcinoma (OSCC) is a main reason of oral cancer mortality and morbidity. Cancer of oral cavity in central south Asia, ranks among third most common kinds of cancer. The discovery of candidate markers to differentiate normal from malignant cells in clinical diagnosis of OSCC would be of critical importance because this malignancy has poor prognosis. To improve the clinical outcome in OSCC patients, the present study was aimed at identifying robust candidate biomarkers for early OSCC diagnosis and to enhance understanding of the mechanisms of disease progression and pathogenesis. Of particular interest are proteins that can be found in tissue lysates of OSCC tumor vs normal adjacent mucosa samples and secreted in cell line Secretomes of HNSCC for non-invasive detection. We analysed 17 paired human malignant OSCC tissues and normal adjacent tissue in addition to secretomes of 9 HNSCC cell lines. The proteome dataset of OSCC and normal tissues consisted of 5,123 protein groups, including 299 proteins with strong differential expression (p-value <0.01, fold change barrier to ?+2 and <-2, 205 upregulated and 94 down regulated) and 134 common proteins were also found out of total dataset of 4473 identified proteins of HNSCC cell line secretomes. Functional data analysis revealed that these differential proteins were significantly associated with multiple biological processes. Myogenesis, Fatty Acid Metabolism and KRAS Signaling DN were associated with the proteins downregulated in cancer tissues, while Protein Secretion, Unfolded Protein Response, Spliceosomal complex assembly, Protein localization to endosome and Interferon Gamma Response were enriched in the set of upregulated proteins and these regulated proteins may be classically or non-classically secreted. Furthermore, we found differential enrichment of Creb3L1, ESRRA, YY, ELF2, STAT1 and XBP transcription factors potentially regulating these major pathways.
Project description:Oral squamous cell carcinoma (OSCC) is a main reason of oral cancer mortality and morbidity. Cancer of oral cavity in central south Asia, ranks among third most common kinds of cancer. The discovery of candidate markers to differentiate normal from malignant cells in clinical diagnosis of OSCC would be of critical importance because this malignancy has poor prognosis. To improve the clinical outcome in OSCC patients, the present study was aimed at identifying robust candidate biomarkers for early OSCC diagnosis and to enhance understanding of the mechanisms of disease progression and pathogenesis. Of particular interest are proteins that can be found in tissue lysates of OSCC tumor vs normal adjacent mucosa samples and secreted in cell line Secretomes of HNSCC for non-invasive detection. We analysed 17 paired human malignant OSCC tissues and normal adjacent tissue in addition to secretomes of 9 HNSCC cell lines. The proteome dataset of OSCC and normal tissues consisted of 5,123 protein groups, including 299 proteins with strong differential expression (p-value <0.01, fold change barrier to ˃+2 and <-2, 205 upregulated and 94 down regulated) and 134 common proteins were also found out of total dataset of 4473 identified proteins of HNSCC cell line secretomes. Functional data analysis revealed that these differential proteins were significantly associated with multiple biological processes. Myogenesis, Fatty Acid Metabolism and KRAS Signaling DN were associated with the proteins downregulated in cancer tissues, while Protein Secretion, Unfolded Protein Response, Spliceosomal complex assembly, Protein localization to endosome and Interferon Gamma Response were enriched in the set of upregulated proteins and these regulated proteins may be classically or non-classically secreted. Furthermore, we found differential enrichment of Creb3L1, ESRRA, YY, ELF2, STAT1 and XBP transcription factors potentially regulating these major pathways.
Project description:Tumor dissemination is a life-threatening event which confers to most cancer-related deaths with limited effective therapeutic option. TNFα-induced protein 2 (TNFAIP2) reveals pro-metastasis potential in several cancers. However, its definite role and underlying mechanism in oral squamous cell carcinoma (OSCC) is largely unknown. The impact of TNFAIP2 on tumor metastasis was assessed based on the conditional knockout mouse with 4-nitroquinoline-1-oxide (4NQO) induced OSCC through feature and immunohistochemistry analysis. To explore the specific mechanism and intervention means, enrichment analysis and co-immunoprecipitation were also applied, together with designing the nano-hydroxyapatite (nHAp) based RNA interference delivery system to restrict tumor dissemination. The epithelium conditional knockout Tnfaip2 reduced tumor initiation rate, differentiation degree and cervical lymph node metastasis (LNM) in mouse exposed to 4NQO. Enrichment analysis suggested NF-κB signaling was associated with these effects. Western blot proved that TNFAIP2 prevented the ubiquitin proteasome degradation of inhibitor of kappa light polypeptide gene enhancer in B-cells, kinase beta (IKKβ), a classical transcriptional activator protein in NF-κB signaling. Mechanistically, it was demonstrated that TNFAIP2 completely interacted with kelch-like ECH-associated protein 1 (KEAP1) to avoid IKKβ from ubiquitination at K63 and subsequent proteasomal degradation, which finally sustained NF-κB signaling and facilitated tumor metastasis by enhancing epithelial-mesenchymal transition (EMT) and lymphangiogenesis. Notably, the synthetic small interfering RNA delivery systems nHAp@PLL-siTnfaip2 showed significant effect in attenuating tumor progression of OSCC mouse. Above results showed TNFAIP2 promoted the EMT and lymphangiogenesis of OSCC by regulating NF-κB signaling, a mechanism that was dependent on the interaction with KEAP1 completely. The nHAp based TNFAIP2 interference might serve as novel therapeutics in limiting OSCC metastasis.