Implications of ZNF334 gene in lymph node metastasis of lung SCC: potential bypassing of cellular senescence.

BACKGROUND: The primary goal of this work is to identify biomarkers associated with lung squamous cell carcinoma and assess their potential for early detection of lymph node metastasis. METHODS: This study investigated gene expression in lymph node metastasis of lung squamous cell carcinoma using data from the Cancer Genome Atlas and R software. Protein-protein interaction networks, hub genes, and enriched pathways were analyzed. ZNF334 and TINAGL1, two less explored genes, were further examined through in vitro, ex vivo, and in vivo experiments to validate the findings from bioinformatics analyses. The role of ZNF334 and TINAGL1 in senescence induction was assessed after H2O2 and UV induced senescence phenotype determined using ß-galactosidase activity and cell cycle status assay. RESULTS: We identified a total of 611 up- and 339 down-regulated lung squamous cell carcinoma lymph node metastasis-associated genes (FDR < 0.05). Pathway enrichment analysis highlighted the central respiratory pathway within mitochondria for the subnet genes and the nuclear DNA-directed RNA polymerases for the hub genes. Significantly down regulation of ZNF334 gene was associated with malignancy lymph node progression and senescence induction has significantly altered ZNF334 expression (with consistency in bioinformatics, in vitro, ex vivo, and in vivo results). Deregulation of TINAGL1 expression with inconsistency in bioinformatics, in vitro (different types of lung squamous cancer cell lines), ex vivo, and in vivo results, was also associated with malignancy lymph node progression and altered in senescence phenotype. CONCLUSIONS: ZNF334 is a highly generalizable gene to lymph node metastasis of lung squamous cell carcinoma and its expression alter certainly under senescence conditions.

SiRNA-Mediated Knockdown of ABCB1 Enhances the Efficacy of Doxorubicin and Vinorelbine in Breast Cancer Cells.

BACKGROUND: Breast cancer remains a leading cause of cancer-related deaths among women, primarily attributed to the formidable challenge of multidrug resistance, often driven by the overexpression of the ABCB1 gene. OBJECTIVE: This study aimed to assess the synergistic effects of siRNA, doxorubicin, and vinorelbine on ABCB1 gene expression and cell viability in doxorubicin-resistant MCF-7/ADR breast cancer cells, with siRNA targeting ABCB1 to reduce its expression and doxorubicin/ vinorelbine to eradicate cancer cells. METHODS: Our methodology involved culturing MCF-7 and MCF-7/ADR cells in standard cell culture conditions. The synthesized siRNA sequences transfected cells with siRNA at final concentrations of 10, 20, and 30 nM and assessed cell viability using the MTT assay was performed. Real-time PCR was employed to quantify ABCB1 mRNA expression levels. RESULTS: Results indicated that MCF-7/ADR cells exhibited substantial resistance to vinorelbine and doxorubicin compared to MCF-7 cells, displaying resistance at 12.50 µM and 25.00 µM for vinorelbine and 6.25 µM and 25.00 µM for doxorubicin. Remarkably, siRNA treatment effectively reversed drug resistance in MCF-7/ADR cells across all concentrations of vinorelbine and doxorubicin tested. When combined, siRNA, doxorubicin, and vinorelbine yielded a significantly greater reduction in cell viability compared to individual drug treatments, particularly at a 20 µM siRNA concentration. This combination therapy also significantly suppressed ABCB1 gene expression by a factor of 41.48 in MCF-7 cells relative to MCF-7/ADR cells. CONCLUSION: these findings suggest that combining siRNA, doxorubicin, and vinorelbine holds promise as a therapeutic strategy to overcome ABCB1-mediated multidrug resistance in breast cancer. Further investigations and clinical trials are warranted to evaluate its clinical efficacy rigorously.

Integrative bioinformatics analysis reveals ECM and nicotine-related genes in both LUAD and LUSC, but different lung fibrosis-related genes are involved in LUAD and LUSC.

There are several bioinformatics studies related to lung cancer, but most of them have mainly focused on either microarray data or RNA-Seq data alone. In this study, we have combined both types of data to identify differentially expressed genes (DEGs) specific to lung cancer subtypes. We obtained six microarray datasets from the GEO and also the expression matrix of LUSC and LUAD from TCGA, which were analyzed by GEO2R tool and GEPIA2, respectively. Enrichment analyses of DEGs were performed using the Enrichr database. Protein module identification was done by MCODE plugin in cytoscape software. We identified 30 LUAD-specific, 17 LUSC-specific, and 17 DEGs shared between LUAD and LUSC. Enrichment analyses revealed that LUSC-specific DEGs are involved in lung fibrosis. In addition, DEGs shared between LUAD and LUSC are involved in extracellular matrix (ECM), nicotine metabolism, and lung fibrosis. We identified lung fibrosis-related genes, including SPP1, MMP9, and CXCL2, involved in both LUAD and LUSC, but SERPINA1 and PLAU genes involved only in LUSC. We also found an important module separately for LUAD-specific, LUSC-specific, and shared DEGs between LUSC and LUAD. S100P, GOLM, AGR2, AK1, TMEM125, SLC2A1, COL1A1, and GHR genes were significantly associated with survival. Our findings suggest that different lung fibrosis-related genes may play roles in LUSC and LUAD. Additionally, nicotine metabolism and ECM remodeling were found to be associated with both LUSC and LUAD, regardless of subtype, emphasizing the role of smoking in the development of lung cancer and ECM in the high aggressiveness and mortality of lung cancer.

Identification of autophagy and angiogenesis modulators in colorectal cancer based on bioinformatics analysis.

Colorectal cancer (CRC) is the third most common cancer and the fourth leading cause of cancer-related death worldwide. The purpose of this study was to discover novel molecular pathways and potential prognosis biomarkers. To achieve this, we acquired five microarray datasets from the Gene Expression Omnibus (GEO) database. We identified differentially expressed genes between CRC and adjacent normal tissue samples and further validated them using The Cancer Genome Atlas (TCGA) database. Using various analytical approaches, including the construction of a competing endogenous RNA (ceRNA) network, Gene Ontology term and Kyoto Encyclopedia of Genes and Genomes pathway analyses, as well as survival analysis, we identified key genes and pathways associated with the diagnosis and prognosis of CRC. We obtained a total of 185 differentially expressed genes, comprising 17 lncRNAs, 30 miRNAs, and 138 mRNAs. The ceRNA network consisted of 17 lncRNAs, 25 miRNAs, and 7 mRNAs. Among the 7 mRNAs involved in the ceRNA network, SLC7A5 and KRT80 were found to be upregulated, while ADIPOQ, CCBE1, KCNB1, CADM2, and CHRDL1 were downregulated in CRC. Further analysis revealed that ADIPOQ and SLC7A5 are involved in the AMPK and mTOR signaling pathway, respectively. In addition, survival analysis demonstrated a statistically significant relationship between ADIPOQ, SLC7A5, and overall survival rates in CRC patients. In conclusion, our findings suggest that downregulation of ADIPOQ and upregulation of SLC7A5 in tumor cells lead to increased mTORC1 activity, reduced autophagy, enhanced angiogenesis, and ultimately contribute to cancer progression and decreased survival in CRC patients.

Emerging roles of long non-coding RNA FTX in human disorders

Long non-coding RNAs (lncRNAs) are involved the progression of cancerous and non-cancerous disorders via different mechanism. FTX (five prime to xist) is an evolutionarily conserved lncRNA that is located upstream of XIST and regulates its expression. FTX participates in progression of various malignancy including gastric cancer, glioma, ovarian cancer, pancreatic cancer, and retinoblastoma. Also, FTX can be involved in the pathogenesis of non-cancerous disorders such as endometriosis and stroke. FTX acts as competitive endogenous RNA (ceRNA) and via sponging various miRNAs, including miR-186, miR-200a-3p, miR-215-3p, and miR-153-3p to regulate the expression of their downstream target. FTX by targeting various signaling pathways including Wnt/β-catenin, PI3K/Akt, SOX4, PDK1/PKB/GSK-3β, TGF-β1, FOXA2, and PPARγ regulate molecular mechanism involved in various disorders. Dysregulation of FTX is associated with an increased risk of various disorders. Therefore, FTX and its downstream targets may be suitable biomarkers for the diagnosis and treatment of human malignancies. In this review, we summarized the emerging roles of FTX in human cancerous and non-cancerous cells (AU)

Identification of novel nuclear pore complex associated proteins in esophageal carcinoma by an integrated bioinformatics analysis.

Nucleoporins (NUPs) are components of the nuclear pore complex (NPC) that participate in the nucleocytoplasmic transport of macromolecules as well as in many essential processes that may be led to carcinogenesis. We selected three expression profile microarray datasets from GEO and as well as TCGA data to identify differentially expressed NUPs genes in esophageal carcinoma. Our findings indicated that NUP133, NUP37, NUP43, NUP50, GLE1 and NDC1 are overexpressed in esophageal carcinoma, among which NUP50 and GLE1genes are reported for the first time in esophageal carcinoma. All identified NUPs were also associated with distant metastasis.Communicated by Ramaswamy H. Sarma.

Differential expression of KCNQ1 and ATP4A genes according to the sex and age in the stomach.

We compared the expression of six genes in stomach tissue samples between healthy men and women in different age groups to study sexually dimorphic gene expression. Real-Time RT-PCR was used to compare gene expression between men and women. Our results showed that the expression of KCNQ1 (p = 0.01) was significantly higher in non-menopausal women compared to post-menopausal women. In addition, the expression level of the ATP4A gene in men under 35 years was significantly higher than in men above 50 (p = 0.026). Sexually and age dimorphic gene expression in some genes throughout life may affect gastric function.

Preeclampsia Susceptibility Assessment Based on Deep Learning Modeling and Single Nucleotide Polymorphism Analysis.

The early diagnosis of preeclampsia, a key outlook in improving pregnancy outcomes, still remains elusive. The present study aimed to examine the interleukin-13 and interleukin-4 pathway potential in the early detection of preeclampsia as well as the relationship between interleukin-13 rs2069740(T/A) and rs34255686(C/A) polymorphisms and preeclampsia risk to present a combined model. This study utilized raw data from the GSE149440 microarray dataset, and an expression matrix was constructed using the RMA method and affy package. The genes related to the interleukin-13 and interleukin-4 pathway were extracted from the GSEA, and their expression levels were applied to design multilayer perceptron and PPI graph convolutional neural network models. Moreover, genotyping for the rs2069740(T/A) and rs34255686(C/A) polymorphisms of the interleukin-13 gene were tested using the amplification refractory mutation system PCR method. The outcomes revealed that the expression levels of interleukin-4 and interleukin-13 pathway genes could significantly differentiate early preeclampsia from normal pregnancy. Moreover, the present study's data suggested significant differences in the genotype distribution, the allelic frequencies and some of the risk markers of the study, in the position of rs34255686 and rs2069740 polymorphisms between the case and control groups. A combined test of two single nucleotide polymorphisms and an expression-based deep learning model could be designed for future preeclampsia diagnostic purposes.

Genes whose expressions in the primary lung squamous cell carcinoma are able to accurately predict the progression of metastasis through lymphatic system, inferred from a bioinformatics analyses.

Lymph node metastasis is the most important prognostic factor in patients with lung squamous cell carcinoma. The current findings show that lymph node metastatic tumor cells can arise by programming metastasis in primary tumor cells. Thereby, the genetic alterations responsible for the metastasis could be detected in the primary tumors. This bioinformatic study aimed to determine novel potential prognostic biomarkers shared between primary lung squamous cell tumors (without lymph node metastasis) and lymphatic metastasis, using the Cancer Genome Atlas database. Differentially expressed genes were screened by limma statistical package in R environment. Gene ontology and biological pathways analyses were performed using Enrichr for up-regulated and down-regulated genes. Also, we selected lymph node metastasis related genes among DEGs using correlation analysis between DEGs and suitable references genes for metastasis. Receiver operating characteristic curves was applied using pROC and R package ggplot2 to evaluate diagnostic value of differentially expressed genes. In addition, survival and drug resistance analyses were performed for differentially expressed genes. The miRNA-mRNA interaction networks were predicted by miRwalk and TargetScan databases and expression levels analysis of the miRNAs which were mainly targeting mRNAs was performed using UALCAN database. Protein-protein interaction network analysis and hub genes identification were performed using FunRich and Cytoscape plugin cytoHubba. In this study, a total of 397 genes were differentially expressed not only with a significant difference between N + vs. normal and N0 vs. normal but also with significant difference between N + vs. N0. Identified GO terms and biological pathways were consistent with DEGs role in the lung squamous cell carcinoma and lymph node metastasis. A significant correlation between 56 genes out of 397 differentially expressed genes with reference genes prompted them being considered for identifying lymph node metastasis of lung squamous cell carcinoma. In addition, SLC46A2, ZNF367, AC107214.1 and NCBP1 genes were identified as survival-related genes of patients with lung squamous cell carcinoma. Moreover, NEDD9, MRPL21, SNRPF, and SCLT1 genes were identified to be involved in lung squamous cell carcinoma drug sensitivity/resistance. We have identified several numbers of miRNAs and their related target genes which could emerge as potential diagnostic biomarkers. Finally, CDK1, PLK1, PCNA, ZWINT and NDC80 identified as hub genes for underlying molecular mechanisms of lung squamous cell carcinoma and lymphatic metastasis. Our study highlights new target genes according to their relation to lymph node metastasis, whose expressions in the primary lung squamous cell carcinoma are able to accurately assess the presence of lymphatic metastasis.

Emerging roles of long non-coding RNA FTX in human disorders.

Long non-coding RNAs (lncRNAs) are involved the progression of cancerous and non-cancerous disorders via different mechanism. FTX (five prime to xist) is an evolutionarily conserved lncRNA that is located upstream of XIST and regulates its expression. FTX participates in progression of various malignancy including gastric cancer, glioma, ovarian cancer, pancreatic cancer, and retinoblastoma. Also, FTX can be involved in the pathogenesis of non-cancerous disorders such as endometriosis and stroke. FTX acts as competitive endogenous RNA (ceRNA) and via sponging various miRNAs, including miR-186, miR-200a-3p, miR-215-3p, and miR-153-3p to regulate the expression of their downstream target. FTX by targeting various signaling pathways including Wnt/ß-catenin, PI3K/Akt, SOX4, PDK1/PKB/GSK-3ß, TGF-ß1, FOXA2, and PPARγ regulate molecular mechanism involved in various disorders. Dysregulation of FTX is associated with an increased risk of various disorders. Therefore, FTX and its downstream targets may be suitable biomarkers for the diagnosis and treatment of human malignancies. In this review, we summarized the emerging roles of FTX in human cancerous and non-cancerous cells.

Association of Val660Leu, progesterone receptor polymorphic variant, with susceptibility to RRMS disease.

BACKGROUND: Multiple sclerosis is an inflammatory, autoimmune, and progressive neurodegenerative disease of the central nervous system with an unknown etiology. Based on the gender differences in epidemiological, clinical, and pathological features of multiple sclerosis, the role of sex hormones and their receptors in this disease has been considered. A single nucleotide polymorphism located in the exon 4 of progesterone receptor, rs1042838 (G/T -Val660Leu), was associated with reduced progesterone receptor activity. We aimed to investigate the association of this polymorphism with the risk of multiple sclerosis. METHOD: A total of 426 individuals were included in the present study, including 200 patients and 226 age and sex adjusted healthy controls in Iranian population. The target SNP was genotyped using PCR-RFLP, and statistical analysis was performed using SPSS 21.0 and by ꭓ2 and logistic regression tests. RESULTS: The results showed that the allele T acts as a risk allele, so that the genotypes TG and TT significantly increase RRMS susceptibility compared to the genotype GG. CONCLUSION: Our data suggest that Val660Leu polymorphism might be a risk factor for the development of RRMS.

Significant Association of DNASE1 Variable Number Tandem Repeats and Single Nucleotide Polymorphisms With Gastric Cancer.

Introduction: Defects in the apoptotic process are among the most important events involved in carcinogenesis, and defects in DNASE1, as one of the apoptotic machinery components, plays a role in various types of cancer. Previous studies have indicated significant differences in the DNASE1 polymorphisms in different populations. We hypothesized an association of two polymorphic sites in the exon 8 and the intron 4 of the DNASE1 gene with the risk of gastric cancer. Materials and Methods: The study was carried out on 120 gastric cancer patients and 120 age and sex adjusted controls using PCR and RFLP-PCR. Results: The genotype GG (rs1053874) in exon 8 of DNASE1 (odds ratio [95% confidence interval]) 4.65 [2.10-10.29], p < 0.001) and genotype 2/3 of variable number tandem repeat (VNTR) in the intron 4 (3.75 [1.56-9.01], p = 0.003) are both linked to gastric cancer. Conclusion: We propose that both polymorphic sites have a part to play in gastric cancer, and so may be useful diagnosis markers.

Significant Association of Variable Number Tandem Repeat Polymorphism rs58335419 in the MIR137 Gene With the Risk of Gastric and Colon Cancers.

The purpose of the article: The MIR137 gene acts as a tumor-suppressor gene in colon and gastric cancers. The aim of this study was to investigate the association of functional variable number tandem repeat (VNTR) polymorphism rs58335419 locating in the upstream of the MIR137 gene with the risk of colon and gastric cancers. Materials and methods: Totally, 429 individuals were contributed in the study, including 154 colon and 120 gastric cancer patients and 155 healthy controls. The target VNTR was genotyped using PCR and electrophoresis for all samples. Statistical analysis was performed using SPSS 21.0 software and by T, χ2 and logistic regression tests. Results: Excluding the rare genotypes, our results showed that genotype 3/5 (95% CI = 1.08-3.73, OR = 2.01, p = 0.026) significantly increased the risk of colon cancer but not gastric cancer (95% CI = 0.88-3.30, OR = 1.70, p = 0.114). Also, in the stratification analysis for VNTRs and sex, genotypes 3/4 (95% CI = 1.00-6.07, OR = 2.46, p = 0.049) and 3/5 (95% CI = 1.25-7.18, OR = 2.99, p = 0.014) significantly increased the risk of colon cancer in men but not in women. In addition, all genotypes including the rare genotypes as a group, significantly increase the risk of gastric (95% CI = 1.14-3.00, OR = 1.85, p = 0.012) and colon (95% CI = 1.38-3.43, OR = 2.17, p = 0.001) cancers compared to the genotype 3/3 as a reference. Conclusion: The results show that increasing the copy of VNTR in the MIR137 gene, increases the risk of colon and gastric cancers and can serve as a marker for susceptibility to colon and gastric cancers.

Significant Association of rs77493513 Polymorphism in 3'-UTR of the NRG1 Gene with the Risk of Multiple Sclerosis Disease.

Multiple sclerosis (MS) is a chronic inflammatory and autoimmune disease characterized by demyelination of the central nervous system (CNS). Neuregulin 1 (NRG1) is a signaling protein that plays an important role in a variety of biological processes, including potentiate oligodendrocyte differentiation and myelination in the CNS, immune response regulation, and inflammation. Single nucleotide polymorphism (SNP) rs77493513 is located in the untranslated region of the 3' mRNA (3'-UTR) of the NRG1 gene, which is predicted to be the binding site of several microRNAs and may play an important role in post-transcriptional regulation. Study aimed to investigate the association of SNP rs77493513 in the NRG1 gene with the risk of MS disease. In this study, genomic DNA was extracted from whole blood samples of 182 patients with relapsing-remitting multiple sclerosis (RRMS) and 198 controls. Different genotypes of rs77493513 polymorphism were determined using RFLP-PCR technique. Statistical analysis was performed using SPSS 21.0 software and by t, χ2 and logistic regression tests. Our data showed that genotypes AC (OR=3.63, CI= 1.93-6.81, p<0.001) and CC (OR=7.90, CI= 4.13-15.11, p<0.001) significantly increased the risk of MS disease and C allele is risk allele. Also, AC (OR=0.16, CI= 0.04-0.63, p= 0.009) and CC (OR=0.14, CI= 0.03-0.53, p=0.04) genotypes significantly decrease the age of onset of the disease. The results show that allele C of rs77493513 polymorphism in the NRG1 gene can be a risk factor for MS.

PHLPP2 gene L1016S (rs61733127) and PIK3R1 gene Met326Ile (rs3730089) polymorphisms are associated with the risk of colon and breast cancers.

The PIK3R1 and PHLPP2 genes encode the p85 alpha subunit of PI3K and a phosphatase for AKT, respectively, which play a direct role in regulating the PI3K-AKT pathway that promotes cell survival, growth, and differentiation. While most attention is focused on the factors that positively affect this pathway, negative regulation is equally important. The aim of this study was to investigate the association of SNPs rs61733127 (L1016S) in PHLPP2 gene and rs3730089 (Met326Ile) in PIK3R1 gene with colon and breast cancer, respectively because both SNPs have been reported to play a functional role in corresponding encoded enzymes and both genes are negatively involved in regulating the PI3K-AKT pathway. 139 colon and 149 breast cancers patients and 279 healthy controls were included in the present study. The target SNPs were genotyped using tetra- ARMS-PCR. In addition, the genotypes of 10 samples for each SNP were confirmed by sequencing. Statistical analysis was performed using SPSS 21.0 and by Fisher exact, T, χ2 and logistic regression tests. As revealed, the genotype AG (OR = 2.18, p = 0.001, CI = 1.36-3.50) and allele G (OR = 1.92, p = 0.001, CI = 1.30-2.84) of rs61733127 in the PHLPP2 gene significantly increased the risk of colon cancer. In addition, genotype AA (OR = 0.2, p = 0.001, CI = 3.00-8.00) and allele A (OR = 0.5, p = 0.001, CI = 1.00-4.00) of rs3730089 in the PIK3R1 gene significantly decreased the risk of breast cancer. The results suggest that SNPs in genes involved in regulating of PI3K-AKT pathway can be used as a marker for susceptibility to colon and breast cancers.

Sexual dimorphism in the expression of GKN2 and FOXA2 genes in the human stomach.

A large proportion of the transcriptome is sex biased in a wide range of taxa. Sexually dimorphic genes expression is highly tissue-dependent. Although gastric cancer exhibits sex bias to some extent, sexually dimorphic gene expression in the stomach is yet to be fully understood. The aim of the present study was to compare the expression levels of 12 genes in the gastric tissue between age-matched healthy men and women of different age groups. A total of 70 human antrum gastric tissue samples were obtained by endoscopy. The difference in expression levels of the 12 intended genes between two genders was investigated using quantitative Real-Time PCR, following total RNA extraction. The results indicated that the expression levels of both the GKN2 (7.2-fold, p < 0.001) and FOXA2 (3.7-fold, p = 0.003) were significantly higher in men compared to those in women. In addition, FOXA1 gene expression was age-dependent only in women. Interestingly, the expression level of FOXA1 was significantly higher in premenopausal women compared to postmenopausal women (2.53-fold, p = 0.016). The expression levels of some of the investigated genes in this study were sex-dependent in the stomach. This sexual dimorphism in gene expression might influence the differential susceptibility to the gastric cancer between the sexes.

Esophageal cancer alters the expression of nuclear pore complex binding protein Hsc70 and eIF5A-1.

Nuclear pore complex (NPC) is the only corridor for macromolecules exchange between nucleus and cytoplasm. NPC and its components, nucleoporins, play important role in the diverse physiological processes including macromolecule exchange, chromosome segregation, apoptosis and gene expression. Recent reports also suggest involvement of nucleoporins in carcinogenesis. Applying proteomics, we analyzed expression pattern of the NPC components in a newly established esophageal cancer cell line from Persia (Iran), the high-risk region for esophageal cancer. Our results indicate overexpression of Hsc70 and downregulation of subunit alpha type-3 of proteasome, calpain small subunit 1, and eIF5A-1. Among these proteins, Hsc70 and eIF5A-1 are in direct interaction with NPC and involved in the nucleocytoplasmic exchange. Hsc70 plays a critical role as a chaperone in the formation of a cargo-receptor complex in nucleocytoplasmic transport. On the other hand, it is an NPC-associated protein that binds to nucleoporins and contributes in recycling of the nucleocytoplasmic transport receptors in mammals and affects transport of proteins between nucleus and cytoplasm. The other nuclear pore interacting protein: eIF5A-1 binds to the several nucleoporins and participates in nucleocytoplasmic transport. Altered expression of Hsc70 and eIF5A-1 may cause defects in nucleocytoplasmic transport and play a role in esophageal carcinogenesis.

Proteomics of a new esophageal cancer cell line established from Persian patient.

Although the highest incidence of esophageal squamous cell carcinoma (ESCC) has repeatedly been reported from Persia (Iran), nevertheless the so far proteomic published reports were limited to one study on tissue specimens. Here we report the proteome of a newly established cell line from Persian ESCC patients and compare it with the normal primary cell proteome. Among polypeptides, whose expression was different in cell line sixteen polypeptides were identified by MALDI/TOF/TOF spectrometry. S100-A8 protein, annexin A1, annexin A2, regulatory subunit of calpain, subunit alpha type-3 of proteasome and glutamate dehydrogenase 1 were proteins down-regulated in cell line while peroxiredoxin-5, non-muscle myosin light polypeptide 6, keratin 1, annexin A4, keratin 8, tropomyosin 3, stress-induced-phosphoprotein 1 and albumin were found to be subject of up-regulation in cell line compared to the primary normal cells. The proteomic results were further verified by western blotting and RT-PCR on annexin A1 and keratin 8. In addition, among the aforementioned proteins, glutamate dehydrogenase 1, regulatory subunit of calpain, subunit alpha of type-3 proteasome and annexin A4 are proteins whose deregulation in ESCC is reported for the first time by this study.

Polymorphism of estrogen response element in TFF1 gene promoter is associated with an increased susceptibility to gastric cancer.

TFF1 is a cysteine-rich protein that forms a characteristic trefoil domain through disulfide bonds, which render it resistant to vigorous conditions and it involves in maintaining the integrity of the gastric mucosa. Decreased expression of TFF1 gene plays a role in the development of gastric cancer. We examined the association between the promoter polymorphisms of the TFF1 gene and the risk of development of gastric cancer, in a case-control study including 199 controls and 141 patients with gastric cancer. Assessment of single nucleotide polymorphisms in the promoter region of the TFF1 gene was performed by sequencing and polymerase chain reaction-based restriction fragment length polymorphism. We found a statistically significant increased risk of gastric cancer associated with -394 TT genotypes (OR=8.78, CI=2.85-27.05, p<0.001) and CT (OR=1.64, CI=1.04-2.60, p=0.033). This single nucleotide polymorphism occurs naturally in an estrogen response element. According to induction of the TFF1 gene by estrogen, it is possible that the substitution of C to T results in a decreased estrogen receptor binding affinity to the estrogen response element and in turn it decreases the expression of the TFF1 gene that may be involved in development of gastric cancer over a lifetime.