Integrated analysis of the prognostic values of RNA-binding proteins in head and neck squamous cell carcinoma

Development and validation of glycosyltransferase related-gene for the diagnosis and prognosis of head and neck squamous cell carcinoma

BACKGROUND

Head and neck squamous cell carcinoma (HNSCC) is a highly heterogeneous cancer characterized by difficulties in early diagnosis and outcome prediction. Aberrant glycosylated structures produced by the aberrant expression of glycosyltransferases are prevalent in HNSCC. In this study, we aim to construct glycosyltransferase-related gene signatures with diagnostic and prognostic value to better stratify patients with HNSCC and improve their diagnosis and prognosis.

METHODS

Bioinformatic tools were used to process data of patients with HNSCC from The Cancer Genome Atlas (TCGA) database. The prognostic model was formatted using univariate and multivariate Cox regression methods, while the diagnostic signature was constructed using support vector machine (SVM) and LASSO analysis. The results were verified using the Gene Expression Omnibus (GEO) cohort. The tumor microenvironment and benefits of immune checkpoint inhibitor (ICI) therapy in subgroups defined by glycosyltransferase-related genes were analyzed. Molecular biology experiments, including western blotting, cell counting kit (CCK)-8, colony formation, wound healing, and Transwell assays, were conducted to confirm the oncogenic function of beta-1,4-galactosyltransferase 3 (B4GALT3) in HNSCC.

RESULTS

We established a five-gene prognostic signature and a 15-gene diagnostic model. Based on the median risk score, patients with low risk had longer overall survival than those in the high-risk group, which was consistent with the results of the GEO cohort. The concrete results suggested that high-risk samples were related to a high tumor protein (TP)53 mutation rate, high infiltration of resting memory cluster of differentiation (CD)4 T cells, resting natural killer (NK) cells, and M0 macrophages, and benefited from ICI therapy. In contrast, the low-risk subgroup was associated with a low TP53 mutation rate; and high infiltration of naive B cells, plasma cells, CD8 T cells, and resting mast cells; and benefited less from ICI therapy. In addition, the diagnostic model had an area under curve (AUC) value of 0.997 and 0.978 in the training dataset and validation cohort, respectively, indicating the high diagnostic potential of the model. Ultimately, the depletion of B4GALT3 significantly hindered the proliferation, migration, and invasion of HNSCC cells.

CONCLUSIONS

We established two new biomarkers that could provide clinicians with diagnostic, prognostic, and treatment guidance for patients with HNSCC.

Comprehensive analysis of the expression of the IGF2BPs gene family in head and neck squamous cell carcinoma: Association with prognostic value and tumor immunity

Background

Head and neck squamous cell carcinoma (HNSCC) represents a predominant type of cancer found in the head and neck region, characterized by a high incidence and unfavorable prognosis. The IGF2BPs gene family, which belongs to the RNA-binding protein class, has been critically implicated in several cancers, and its involvement in HNSCC necessitates further exploration.

Objective

To explore the clinical significance and potential biological functions of the IGF2BPs gene family in HNSCC.

Methods

A bioinformatic methodology was employed to examine the expression profile, diagnostic and prognostic significance, and biological mechanisms of the IGF2BPs gene family in HNSCC, with a particular emphasis on its involvement in the immune function of HNSCC. This was followed by in vitro investigations to unravel the biological roles of the IGF2BPs gene family in HNSCC.

Results

This investigation has demonstrated that, in contrast with normal control tissue, HNSCC has a substantial elevation in the expression level of the IGF2BPs gene family. Patients with a high level of IGF2BPs gene family expression demonstrated higher prediction accuracy for HNSCC. Furthermore, patients with HNSCC and elevated IGF2BPs gene family expression levels exhibited poor survival outcomes. The IGF2BPs gene family displayed a significant association with a variety of immune infiltrating cells and immune genes in HNSCC. Studies conducted in vitro have confirmed that IGF2BP2 silencing suppressed the migration, proliferation, and invasion of HNSCC cells.

Conclusions

It has been determined that the IGF2BPs gene family plays a crucial part in the onset and progression of HNSCC, and its association with tumor immunity has been established. The IGF2BPs gene family holds promising potential as a diagnostic and prognostic biomarker for HNSCC.

A Novel Inflammatory Response–Related Gene Signature Improves High-Risk Survival Prediction in Patients With Head and Neck Squamous Cell Carcinoma

Background: Head and neck squamous cell carcinoma (HNSCC) is a highly prevalent and malignant tumor that is difficult to effectively prognosticate outcomes. Recent reports have suggested that inflammation is strongly related to tumor progression, and several biomarkers linked to inflammation have been demonstrated to be useful for making a prognosis. The goal of this research was to explore the relevance between the inflammatory-related genes and HNSCC prognosis.

Methods: The clinical information and gene expression data of patients with HNSCC were acquired from publicly available data sources. A multigene prognostic signature model was constructed in The Cancer Genome Atlas and verified in the Gene Expression Omnibus database. According to the risk score calculated for each patient, they were divided into low- and high-risk groups based on the median. The Kaplan–Meier survival curve and receiver operating characteristic curve were applied to determine the prognostic value of the risk model. Further analysis identified the independent prognostic factors, and a prognostic nomogram was built. The relationship between tumor immune infiltration status and risk scores was investigated using Spearman correlation analysis. Finally, to confirm the expression of genes in HNSCC, quantitative real-time polymerase chain reaction (qRT-PCR) was performed.

Results: A prognostic model consisting of 14 inflammatory-related genes was constructed. The samples with a high risk had an apparently shorter overall survival than those with a low risk. Independent prognostic analysis found that risk scores were a separate prognostic factor in HNSCC patients. Immune infiltration analysis suggested that the abundance of B cells, CD8 T cells, M2 macrophages, myeloid dendritic cells, and monocytes in the low-risk group was higher, while that of M0, M1 macrophages, and resting NK cells was obviously higher in the high-risk group. The risk scores were related to chemotherapeutic sensitivity and the expression of several immune checkpoint genes. Moreover, CCL22 and IL10 were significantly higher in HNSCC tissues, as determined by qRT-PCR.

Conclusion: Taken together, we constructed a novel inflammatory response–related gene signature, which may be used to estimate outcomes for patients with HNSCC and may be developed into a powerful tool for forecasting the efficacy of immunotherapeutic and chemotherapeutic drugs for HNSCC.

Insulin-like growth factor 2 mRNA-binding protein 2-regulated alternative splicing of nuclear factor 1 C-type causes excessive granulosa cell proliferation in polycystic ovary syndrome

Objectives

Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disorder. Insulin‐like growth factor 2 mRNA‐binding protein 2 (IGF2BP2) serves as an HMGA2 target gene to promote the proliferation of granulosa cells (GCs). However, it is still unclear whether IGF2BP2 participates in the pathogenesis of PCOS as RNA binding protein (RBP). In this study, we aimed to elucidate IGF2BP2‐interacting transcripts, global transcriptome together with alternative splicing in GCs to eventually uncover potential mechanisms of PCOS pathogenesis.

Materials and Methods

The expression of IGF2BP2 in GCs from PCOS patients was detected using quantitative reverse transcription PCR (RT‐qPCR) and western blot. We captured IGF2BP2‐interacting transcripts, global transcriptome together with alternative splicing by RNA immunoprecipitation sequencing (RIP‐seq) and RNA sequencing (RNA‐seq). KGN cells transfected with IGF2BP2 overexpressing plasmids and nuclear factor 1 C‐type (NFIC) siRNAs, were applied to CCK‐8, EdU and TUNEL assays.

Results

IGF2BP2 was highly expressed in GCs from PCOS patients. As an RBP, it preferentially bound to the 3′and 5′UTRs of mRNAs with GGAC motif and a newly found GAAG motif. The overexpression of IGF2BP2 changed the transcriptome profile of KGN cells. IGF2BP2 functioned to regulate alternative splicing events and promote cell proliferation through inhibiting exon skipping events of NFIC.

Conclusion

In conclusion, we demonstrated that IGF2BP2 promotes GC proliferation via regulating alternative splicing of NFIC in PCOS. The findings help to better understand the roles of IGF2BP2 in the pathogenesis of PCOS.

LncRNA SAMD12-AS1 promotes the progression of gastric cancer via DNMT1/p53 axis

BACKGROUND

Long noncoding RNAs (lncRNAs) are essential modulators of cancers initiation and progression via regulating gene expression and biological behaviors. LncRNA SAMD12-AS1 has been validated to promote the progression of several cancers, while its role in gastric cancer (GC) remains unclear. This study aims to explore the role of LncRNA SAMD12-AS1 in GC.

METHODS

qRT-PCR was performed to analyze the expression of lncRNA SAMD12-AS1 in GC tissues and cell lines, with Kaplan-Meier curve analyzing the correlation between LncRNA SAMD12-AS1 and prognosis. CCK-8 assay, and flow cytometry were applied to detect GC cells proliferation, cell cycle. Binding of RNA and proteins were detected via RNA binding protein immunoprecipitation (RIP) assay. Protein levels of oncogenesis-related genes were determined via western blotting.

RESULTS

SAMD12-AS1 was highly up-regulated in human gastric cancer tissues and cell lines compared to their normal counterparts. High SAMD12-AS1 expression was closely related to TNM stage, and shorter survival span of patients with GC. Moreover, SAMD12-AS1 was also found to promote the oncogenic role of GC cells via inhibiting the P53 signaling pathway. Mechanistically, SAMD12-AS1 might performed its biological roles in GC via directly interacting with DNMT1 and facilitating DNMT1 repress the P53 signaling pathway.

CONCLUSION

Our study demonstrated that SAMD12-AS1 promoted GC progression via DNMT1/P53 axis, indicating SAMD12-AS1 may be envisioned as a novel biomarker of, and therapeutic target for GC.