Yuan-Feng Gao

Gap junction as an intercellular glue: Emerging roles in cancer EMT and metastasis

Metastasis is a common phenomenon in the progression and dissemination of cancer. It is estimated that metastasis accounts for 90% cancer-related mortality. Although the formation of tumor metastasis is relatively well understood, the underlying molecular mechanisms responsible for the emergence of aggressive cancer phenotype are still elusive. Figuring out the mechanisms by which cancer cells evade from the tumor is beneficial for obtaining novel and effectively therapeutic approaches. Primary tumors are composed of various subpopulations of cells with heterogeneous metastatic characteristics and the occurrence of metastatic dissemination is mainly dependent upon the interactions between tumor and the surrounding microenvironment. Tumor microenvironment (TME) such as extracellular matrix, macrophages, fibroblasts, stem cells and endothelial cells can orchestrate events critical to tumor evolution toward metastasis. GJ serves as an important communication between tumor cells and stromal cells. Increased GJs coupling blocks metastatic potential in some cancer animal models such as breast cancer and melanoma. Besides, epithelial-to-mesenchymal transition (EMT) is also a crucial step in the metastatic process and there are signs that GJs contribute to cell adhesion and migration (the pathological feature of EMT) in breast cancer. Therefore, we propose that GJ serves as an intercellular glue to suppress EMT and cancer metastasis.

A critical overview of long non-coding RNA in glioma etiology 2016: an update

With the development of whole genome and transcriptome sequencing technologies, a growing body of long non-coding RNAs (lncRNAs) has been identified and is receiving increasing attention. LncRNAs are non-protein encoding transcripts whose functions are crucial for advancing our comprehensive understanding of biological processes in human health and diseases, specifically glioma. It has been established that lncRNAs are differently expressed in the central nervous system and may play a vital role in glioma. As of June 2016, 20 lncRNAs have been identified that may play a role in glioma pathogenesis. Investigation into the role of lncRNAs in glioma may help to identify potential biomarkers which can improve the diagnosis and treatment of glioma. In this paper, we review current understanding of the function of lncRNAs in glioma initiation and progression.

Silencing of Forkhead box D1 inhibits proliferation and migration in glioma cells

Despite the extensive role of Forkhead box transcription factors in the development and progression of various cancers, little is known about their role in glioma. We examined the expression and function of Forkhead box D1 (FOXD1) in glioma cell behavior and found that FOXD1 was upregulated and directly correlated with the glioma grade. Data analysis also revealed significant differences in FOXD1 expression for both gene expression profiles (GSE4290 and GSE7696) and the TCGA datasets. Additionally, decreased FOXD1 expression in U251 and U87 glioma cells caused a delay in cell growth and a disruption in colony formation. FOXD1 silencing also promoted generation of apoptotic bodies containing nuclear fragments. Cells with suppressed expression of FOXD1 markedly reduced glioma cell migration. Our results suggest that FOXD1 may serve as a novel regulator of glioblastoma cell behavior that may offer a novel target for gene targeted glioma therapies.

Targeting DNA Damage Response in the Radio(Chemo)therapy of Non-Small Cell Lung Cancer

Lung cancer is the leading cause of cancer death worldwide due to its high incidence and mortality. As the most common lung cancer, non-small cell lung cancer (NSCLC) is a terrible threat to human health. Despite improvements in diagnosis and combined treatments including surgical resection, radiotherapy and chemotherapy, the overall survival for NSCLC patients still remains poor. DNA damage is considered to be the primary cause of lung cancer development and is normally recognized and repaired by the intrinsic DNA damage response machinery. The role of DNA repair pathways in radio(chemo)therapy-resistant cancers has become an area of significant interest in the clinical setting. Meanwhile, some studies have proved that genetic and epigenetic factors can alter the DNA damage response and repair, which results in changes of the radiation and chemotherapy curative effect in NSCLC. In this review, we focus on the effect of genetic polymorphisms and epigenetic factors such as miRNA regulation and lncRNA regulation participating in DNA damage repair in response to radio(chemo)therapy in NSCLC. These may provide novel information on the radio(chemo)therapy of NSCLC based on the individual DNA damage response.

Genome-scale analysis identifies GJB2 and ERO1LB as prognosis markers in patients with pancreatic cancer

Pancreatic cancer is a complex and heterogeneous disease with the etiology largely unknown. The deadly nature of pancreatic cancer, with an extremely low 5-year survival rate, renders urgent a better understanding of the molecular events underlying it. The aim of this study is to investigate the gene expression module of pancreatic adenocarcinoma and to identify differentially expressed genes (DEGs) with prognostic potentials. Transcriptome microarray data of five GEO datasets (GSE15471, GSE16515, GSE18670, GSE32676, GSE71989), including 117 primary tumor samples and 73 normal pancreatic tissue samples, were utilized to identify DEGs. The five sets of DEGs had an overlapping subset consisting of 98 genes (90 up-regulated and 8 down-regulated), which were probably common to pancreatic cancer. Gene ontology (GO) analysis of the 98 DEGs showed that cell cycle and cell adhesion were the major enriched processes, and extracellular matrix (ECM)-receptor interaction and p53 signaling pathway were the most enriched pathways according to Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Elevated expression of gap junction protein beta 2 (GJB2) and reduced endoplasmic reticulum oxidoreductase 1-like beta (ERO1LB) expression were validated in an independent cohort. Kaplan-Meier survival analysis revealed that GJB2 and ERO1LB levels were significantly associated with the overall survival of pancreatic cancer patients. GJB2 and ERO1LB are implicated in pancreatic cancer progression and can be used to predict patient survival. Therapeutic strategies targeting GJB2 and facilitating ERO1LB expression may deserve evaluation to improve prognosis of pancreatic cancer patients.

COL3A1 and SNAP91: novel glioblastoma markers with diagnostic and prognostic value.

Although patients with glioblastoma (GBM) have grave prognosis, significant variability in patient outcome is observed. This study aims to identify novel targets for GBM diagnosis and therapy. Microarray data (GSE4290, GSE7696, and GSE4412) obtained from the Gene Expression Omnibus was used to identify the differentially expressed genes (DEGs) by significant analysis of microarray (SAM). Intersection of the identified DEGs for each profile revealed 46 DEGs in GBM. A subset of common DEGs were validated by real-time reverse transcription quantitative PCR (qPCR). The prognostic value of some of the markers was also studied. We determined that RRM2 and COL3A1 were increased and directly correlated with glioma grade, while SH3GL2 and SNAP91 were decreased in GBM and inversely correlated with glioma grade. Kaplan-Meir analysis of GSE7696 revealed that COL3A1 and SNAP91 correlated with survival, suggesting that COL3A1 and SNAP91 may be suitable biomarkers for diagnostic or therapeutic strategies for GBM.

PPIC, EMP3 and CHI3L1 Are Novel Prognostic Markers for High Grade Glioma

Current treatment methods for patients diagnosed with gliomas have shown limited success. This is partly due to the lack of prognostic genes available to accurately predict disease outcomes. The aim of this study was to investigate novel prognostic genes based on the molecular profile of tumor samples and their correlation with clinical parameters. In the current study, microarray data (GSE4412 and GSE7696) downloaded from Gene Expression Omnibus were used to identify differentially expressed prognostic genes (DEPGs) by significant analysis of microarray (SAM) between long-term survivors (>2 years) and short-term survivors (≤2 years). DEPGs generated from these two datasets were intersected to obtain a list of common DEPGs. The expression of a subset of common DEPGs was then independently validated by real-time reverse transcription quantitative PCR (qPCR). Survival value of the common DEPGs was validated using known survival data from the GSE4412 and TCGA dataset. After intersecting DEPGs generated from the above two datasets, three genes were identified which may potentially be used to determine glioma patient prognosis. Independent validation with glioma patients tissue (n = 70) and normal brain tissue (n = 19) found PPIC, EMP3 and CHI3L1 were up-regulated in glioma tissue. Survival value validation showed that the three genes correlated with patient survival by Kaplan-Meir analysis, including grades, age and therapy.

Nucleolar and spindle-associated protein 1 is a tumor grade correlated prognosis marker for glioma patients

Despite therapeutic advances in glioma management including surgery, radiation, and chemotherapy, the improvement of patient outcome is far from satisfactory. Nucleolar and spindle‐associated protein 1 (NUSAP1) is an important functional protein during mitosis, and its abnormal expression is implicated in progression of different types of tumors. However, the role of NUSAP1 in gliomas remains unclear.

Long noncoding RNA SFTA1P promoted apoptosis and increased cisplatin chemosensitivity via regulating the hnRNP-U-GADD45A axis in lung squamous cell carcinoma

Chemotherapeutic insensitivity remains one of the major obstacles in clinical treatment of lung squamous cell carcinoma (LSCC). Recently, increasing evidence has suggested that long non-coding RNAs (lncRNAs) promote tumorigenesis in many cancer types. However, the potential biological roles and regulatory mechanisms of lncRNAs in response to cisplatin treatment are poorly understood. Here, we found that lncRNA SFTA1P (surfactant associated 1, pseudogene), highly expressed in lung, was down-regulated in LSCC tissues and could be induced upon cisplatin treatment in LSCC cells. Elevated SFTA1P induced apoptosis and enhanced the sensitivity to cisplatin of LSCC cells. We further identified that hnRNP-U (heterogeneous nuclear ribonucleoprotein U) was down-regulated in LSCCs and positively correlated with patients’ poor prognosis as well as SFTA1P. Mechanistic studies revealed that SFTA1P could up-regulate hnRNP-U expression. In addition, we identified that hnRNP-U enhanced cisplatin-induced apoptosis through up-regulation of GADD45A, high expression of which was correlated with good prognosis in LSCC patients. Our findings demonstrated that SFTA1P might serve as a useful biomarker for LSCC diagnosis and a predictor for cisplatin chemotherapy response in patients with LSCC.