KLK11 acts as a tumor-inhibitor in laryngeal squamous cell carcinoma through the inactivation of Akt/Wnt/β-catenin signaling

CD8 + T-Cell-Related Genes: Deciphering Their Role in the Pancreatic Adenocarcinoma TME and Their Effect on Prognosis

BACKGROUND

Because of the unique tumor microenvironment (TME), immunotherapy and targeted therapies have shown limited efficacy in treating pancreatic adenocarcinoma (PAAD). CD8 + T cells play crucial roles in regulating the TME in PAAD; therefore, exploring the function of CD8 + T-cell-related genes (CD8RGs) in PAAD has high potential clinical value and could provide a comprehensive understanding of the microenvironment of PAAD.

METHODS

We employed the weighted gene coexpression network analysis and CIBERSORT algorithms to assess PAAD transcriptome data from The Cancer Genome Atlas (TCGA) dataset and identify modules strongly associated with CD8 + T cell infiltration. Using least absolute shrinkage and selection operator regression analysis and Kaplan-Meier curves, we developed a prognostic risk score model for patients with PAAD. We validated this model using single-cell and transcriptome datasets obtained from the Gene Expression Omnibus (GEO). We also examined the correlations between the risk score and factors such as the TME, clinical characteristics, and tumor mutation burden (TMB). Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were performed on differentially expressed genes between the high- and low-risk groups. In addition, the Tumor Immune Dysfunction and Exclusion website and "pRRophetic" R package were used to predict response to immunotherapy and chemotherapy in the high- and low-risk groups, respectively. Finally, we analyzed the expressions of hub genes at the cellular level with quantitative real-time PCR.

RESULTS

A risk model based on five CD8RGs was established and validated using TCGA and GEO datasets. The low-risk group exhibited significantly longer overall and progression-free survival. A positive correlation between the TMB and the risk score was observed. The TME analysis revealed a significant correlation between the risk score and immune function, as well as immune checkpoints. The expression of hub genes was significantly correlated with the infiltration level of CD8 + T cells. The high-risk group responded better to immunotherapy, paclitaxel, cisplatin, mitomycin C, afatinib (BIBW2992), and gefitinib. In contrast, the low-risk group showed higher sensitivity to sunitinib, MK.2206, palbociclib (PD.0332991), and axitinib. Compared with that in normal pancreatic epithelial cells, the expression levels of BCL11A, PHOSPHO1, and GNG7 were significantly decreased, while those of KLK11 and VCAM1 were significantly increased in pancreatic tumor cells.

CONCLUSIONS

CD8RGs play an important role in regulating the TME of PAAD. Five hub genes-BCL11A, KLK11, GNG7, PHOSPHO1, and VCAM1-are closely associated with the prognosis of PAAD patients, providing new references for the exploration of biomarkers. Furthermore, our findings offer novel insights for clinical decision-making.

Remodeling of the extracellular matrix by serine proteases as a prerequisite for cancer initiation and progression

The extracellular matrix (ECM) serves as a physical scaffold for tissues that is composed of structural proteins such as laminins, collagens, proteoglycans and fibronectin, forming a three dimensional network, and a wide variety of other matrix proteins with ECM-remodeling and signaling functions. The activity of ECM-associated signaling proteins is tightly regulated. Thus, the ECM serves as a reservoir for water and growth regulatory signals. The ECM architecture is dynamically modulated by multiple serine proteases that process both structural and signaling proteins to regulate physiological processes such as organogenesis and tissue homeostasis but they also contribute to pathological events, especially cancer progression. Here, we review the current literature regarding the role of ECM remodeling by serine proteases (KLKs, uPA, furin, HtrAs, granzymes, matriptase, hepsin) in tumorigenesis.

PRI-724 and IWP-O1 Wnt Signaling Pathway Inhibitors Modulate the Expression of Glycolytic Enzymes in Tongue Cancer Cell Lines

The dysregulation of energetic metabolism is one of the hallmarks of cancer cells. Indeed, the growth of head and neck squamous cell carcinoma (HNSCC) cells depends heavily on glycolytic activity, which can be considered a potential therapeutic target. Wnt signaling is one of the pathways that undergoes upregulation in HNSCC. Our previous studies have shown that Wnt signaling inhibitors-PRI-724 and IWP-O1-attenuate tongue SCC survival and reduce glucose uptake and lactate release. The aim of this research was to further evaluate the possible mechanisms of the previously observed effects. We assessed the effect of PRI-724 and IWP-O1 on the expression of selected glycolytic enzymes: phosphofructokinase M, pyruvate kinase M2, and lactate dehydrogenase. Relative transcript expression was assessed by real-time PCR, and protein levels by Western blot. Moreover, clinical data concerning mRNA and protein expression, gene promoter methylation, and HNSCC patients' survival time were analyzed by the UALCAN tool, and protein-protein interaction was assessed using the STRING database. Experimental and bioinformatic data confirmed the relation between Wnt signaling and glycolytic enzymes in tongue cancer cells and HNSCC clinical samples. Overall, the inhibition of glucose metabolism by Wnt signaling inhibitors is a promising mode of action against tongue cancer cells.

KRT17 Accelerates Cell Proliferative and Invasive Potential of Laryngeal Squamous Cell Carcinoma (LSCC) through Regulating AKT/mTOR and Wnt/β-Catenin Pathways

Background

Laryngeal squamous cell carcinoma (LSCC) is a prevalent malignant tumor of the head and neck with a dismal prognosis. Keratin17 (KRT17) has been proven to serve as an oncogene in various cancers, but it has never been explored in LSCC. We proposed to assess the impact and possible mechanisms of KRT17 in the development of LSCC.

Methods

Quantitative reverse transcription-PCR (qRT-PCR) was utilized to examine the mRNA levels. The Kaplan-Meier method was used to calculate the relationship between KRT17 expression and survival curves in LSCC patients. Cell counting kit-8 (CCK-8), colony formation, and flow cytometry assays were utilized to estimate LSCC cell proliferation. The migration and invasion abilities of LSCC cells were ascertained by wound-healing and transwell assays. Immunohistochemical and western blot assays were utilized to appraise protein levels. The xenograft tumor model was used to determine the effect of KRT17 on tumor growth.

Results

In the present study, KRT17 was extremely high in LSCC tissues and cells and correlated with a poor prognosis. Inhibition of KRT17 weakens cell proliferative, migratory, and invasive abilities in LSCC and contributes to cell cycle arrest. Besides, we approved that knockdown of KRT17 extraordinarily restrained the xenograft tumor growth in vivo. We preliminarily investigated the role of KRT17 on the AKT/mTOR and Wnt/β-catenin signaling axes and found that these signaling pathways were largely blocked by KRT17 deletion.

Conclusion

Collectively, we uncovered that exhaustion of KRT17 suppresses LSCC progression through coordinating AKT/mTOR and Wnt/β-catenin signaling axes, illustrating KRT17 as a promising biomarker for making strides in LSCC treatment.