Contribution of MAML1 in esophageal squamous cell carcinoma tumorigenesis

INPP5A/HLA-G1/IL-10/MMP-21 Axis in Progression of Esophageal Squamous Cell Carcinoma

Background

Background: Type I inositol polyphosphate-5-phosphatase A (INPP5A) is involved in different cellular events, including cell proliferation. Since INPP5A, HLAG1, IL-10, and matrix metalloproteinases (MMP)-21 genes play fundamental roles in esophageal squamous cell carcinoma (ESCC) tumorigenesis, we aimed in this study to clarify the possible interplay of these genes and explore the potential of these chemistries as a predictor marker for diagnosis in ESCC disease.

Methods

Methods: Gene expression analysis of INPP5A, HLAG-1, IL-10, and MMP-21 was performed using relative comparative real-time PCR in 56 ESCCs compared to their margin normal tissues. Immunohistochemical staining was accomplished for INPP5A in ESCCs. Analysis of ROC curves and the AUC were applied to evaluate the diagnostic capability of the candidate genes.

Results

Results: High levels of HLA-G1, MMP-21, and IL-10 were detected in nearly 23.2%, 62.5%, and 53.5% of ESCCs compared to the normal tissues, respectively, whereas INPP5A underexpression was detected in 19.6% of ESCCs, which all tested genes indicated significant correlations with each other. The protein expression level of INPP5A in ESCC tissues was significantly lower than that of the non-tumor esophageal tissues (p = 0.001). Interestingly, the concomitant expression of the INPP5A/HLA-G1, INPP5A/MMP-21, INPP5A/IL-10, HLA-G1/MMP-21, HLA-G1/IL-10, and MMP-21/IL-10 was significantly correlated with several clinicopathological variables. INPP5A, HLA-G1, MMP-21, and IL-10 showed to be the most appropriate candidates to discriminate tumor/non-tumor groups due to the total AUCs of all combinations (>60%).

Conclusion

Conclusion: Our results represent a new regulatory axis containing INPP5A/HLAG-1/IL-10/MMP-21 markers in ESCC development and may provide novel insight into the mechanism of immune evasion mediated by the INPP5A/HLAG-1/IL-10/MMP-21 regulatory network in the disease.

Potentially functional genetic variants of the Notch signaling pathway genes predict survival of Chinese patients with Esophageal Squamous Cell Carcinoma

BACKGROUND

The Notch signaling pathway is involved in progression of esophageal squamous cell carcinoma (ESCC), but the roles of single nucleotide polymorphisms (SNPs) of the Notch signaling pathway genes in the process remain unknown.

METHODS

The present study included 1,009 patients with histopathologically diagnosed ESCC at Fudan University Shanghai Cancer Center (FUSCC). The two-stage multivariate Cox proportional hazards regression analysis was used to estimate associations between 13,248 SNPs in 103 Notch signaling pathway genes and overall survival of the patients.

RESULTS

We found that overall survival of the patients was significantly associated with genotypes of HDAC9 rs1729318 (AT+TT vs AA: HR = 1.44, 95% CI = 1.16-1.80, P_combined = 0.001) and HDAC9 rs1339555498 (GT +TT vs GG: HR = 1.38, 95% CI = 1.10-1.74, P_combined = 0.005). Further receiver operator characteristic (ROC) curve analysis indicated that the model with both available clinical factors and these two SNPs improved the area under the ROC curve, compared with the model with clinical factors only (1-year: 0.66 vs. 0.64, P = 0.034). Additional expression quantitative trait loci (eQTL) analysis showed that the rs1729318 T variant genotypes were associated with increased mRNA expression levels of HDAC9 in normal esophageal muscular tissue (P = 0.003).

CONCLUSIONS

The results suggest that these two potential functional SNPs on HDAC9 may serve as biomarkers for predicting survival of ESCC patients. However, further studies are needed to confirm these findings.

A Dynamic Role of Mastermind-Like 1: A Journey Through the Main (Path)ways Between Development and Cancer

Major signaling pathways, such as Notch, Hedgehog (Hh), Wnt/β-catenin and Hippo, are targeted by a plethora of physiological and pathological stimuli, ultimately resulting in the modulation of genes that act coordinately to establish specific biological processes. Many biological programs are strictly controlled by the assembly of multiprotein complexes into the nucleus, where a regulated recruitment of specific transcription factors and coactivators on gene promoter region leads to different transcriptional outcomes. MAML1 results to be a versatile coactivator, able to set up synergistic interlinking with pivotal signaling cascades and able to coordinate the network of cross-talking pathways. Accordingly, despite its original identification as a component of the Notch signaling pathway, several recent reports suggest a more articulated role for MAML1 protein, showing that it is able to sustain/empower Wnt/β-catenin, Hh and Hippo pathways, in a Notch-independent manner. For this reason, MAML1 may be associated to a molecular “switch”, with the function to control the activation of major signaling pathways, triggering in this way critical biological processes during embryonic and post-natal life. In this review, we summarize the current knowledge about the pleiotropic role played by MAML proteins, in particular MAML1, and we recapitulate how it takes part actively in physiological and pathological signaling networks. On this point, we also discuss the contribution of MAML proteins to malignant transformation. Accordingly, genetic alterations or impaired expression of MAML proteins may lead to a deregulated crosstalk among the pathways, culminating in a series of pathological disorders, including cancer development. Given their central role, a better knowledge of the molecular mechanisms that regulate the interplay of MAML proteins with several signaling pathways involved in tumorigenesis may open up novel opportunities for an attractive molecular targeted anticancer therapy.

SOX2/SALL4 stemness axis modulates Notch signaling genes to maintain self-renewal capacity of esophageal squamous cell carcinoma

Stemness phenotype is considered as the centerpiece of cancer biology due to its potential in conventional chemo-radiotherapy resistance and tumor recurrence after clinical intervention. This feature in tumor mass belongs to activation of core regulatory stemness factors and different cell signaling pathways in cancer stem cells. We aimed in this study to elucidate contribution of Notch signaling pathway in stemness state of esophageal squamous cell carcinoma (ESCC) through their relevance with stem cell markers SOX2 and SALL4. 50 ESCC tumor and related margin normal tissues were considered and categorized based on SOX2/SALL4 expression pattern, and mRNA levels of Notch signaling genes including ligands, receptors, target genes, and transcriptional coactivator were analyzed in the selected groups using qRT-PCR. Concomitant overexpression of stem cell markers SOX2 and SALL4 in ESCCs upregulated the involved genes in Notch signaling pathway. Upregulation of Notch pathway genes associated with depth of tumor invasion and lymph node metastasis of ESCC. Based on biological function of SOX2 and SALL4 axis in stemness state potential, our results may suggest contribution of Notch signaling pathway in self-renewal capacity of ESCCs, as well as invasion and metastasis of the disease. To the best of our knowledge, this is the first report elucidating the crosstalk between SOX2/SALL4 stemness factors and Notch signaling pathway in cancer research.

MAML1 promotes ESCC aggressiveness through upregulation of EMT marker TWIST1

BACKGROUND

Mastermind-like 1 (MAML1) is the main transcriptional co-activator of Notch signaling pathway. It plays essential roles in several pathways including MEF2C, p53, Nf-кB and Wnt/β-catenin. TWIST1 is known as a regulator of epithelial mesenchymal transition (EMT), which is considered as a primary step in promotion of tumor cell metastasis. Since concomitant expression of these genes was observed in tumors, our aim in this study was to elucidate the linkage between MAML1 and TWIST1 co-overexpression in esophageal squamous cell carcinoma (ESCC).

RESULTS

While MAML1 silencing significantly down-regulated TWIST1, its ectopic expression up-regulated TWIST1 expression in both mRNA and protein levels in KYSE-30 cells. Expression of mesenchymal markers was increased significantly after MAML1 and TWIST1 ectopic expression, while epithelial markers expression was significantly decreased after silencing of both genes. Concomitant protein expression of MAML1 and TWIST1 was significantly observed in ESCC patients. Enforced expression of TWIST1 had no impact on MAML1 gene expression in KYSE-30 cells.

CONCLUSION

The results clearly suggest transcriptional regulation of TWIST1 by MAML1 transcription factor in ESCC cells KYSE-30. Since TWIST1 is known as an EMT inducing marker, our results may revealed the mastermind behind TWIST1 function and introduced MAML1 as an upstream master regulator of TWIST1 and EMT in KYSE-30 cells.

Genetic and molecular bases of esophageal Cancer among Iranians: an update

Abstract

Background

Esophageal cancer is one of the leading causes of cancer related deaths among the Iranians. There is still a high ratio of mortality and low 5 years survival which are related to the late onset and diagnosis. Majority of patients refer for the treatment in advanced stages of tumor progression.

Main body

It is required to define an efficient local panel of diagnostic and prognostic markers for the Iranians. Indeed such efficient specific panel of markers will pave the way to decrease the mortality rate and increase the 5 years survival among the Iranian patients via the early diagnosis and targeted therapy.

Conclusion

in present review we have reported all of the molecular markers in different signaling pathways and cellular processes which have been assessed among the Iranian esophageal cancer patients until now.

MAML1 regulates EMT markers expression through NOTCH-independent pathway in breast cancer cell line MCF7

Tumor relapse is the main cause of breast cancer related deaths and metastasis due to epithelial-mesenchymal transition (EMT) having a critical role in this process. MAML1 is the main co activator of NOTCH signaling pathway and its role in EMT remains unknown. In this study, this role was evaluated through overexpression and knockdown study of MAML1 in MCF7 and MDA-MB-231 cells. MAML1 overexpression up regulated the epithelial and down regulated the mesenchymal markers. In addition, MAML1 silencing decreased epithelial and increased mesenchymal markers. Notch inhibition using γ-secretase inhibitor resulted in increased E-cadherin expression. MAML1 ectopic expression, further increased E-cadherin expression with inhibition of NOTCH signaling. Wound healing assay showed that MAML1 overexpression decreases the rate of migration, while MAML1 silencing increases this rate significantly. In conclusion, our data indicated that MAML1 negatively regulates EMT markers expression in breast cancer cells.

Tissue protein biomarker candidates to predict progression of esophageal squamous cell carcinoma and precancerous lesions

Esophageal squamous cell carcinoma (ESCC) is one of the most predominant malignancies worldwide. The 5-year survival rate is still relatively low due to few symptoms presenting with the early disease, diagnosis at middle to late stage, and high risk of recurrence after therapy. Novel protein biomarkers for early detection and treatment of ESCC have the potential to reduce incidence and mortality rates, and significantly prolong the 5-year survival rate. To date, several ESCC biomarkers are being investigated for screening, diagnosis, and treatment to decrease the disease burden. This review summarizes recent developments in candidate protein biomarkers for early diagnosis, predictors for precancerous disease progression, and prognosis of ESCC. Protein biomarkers that enable identification of the different pathologic grades of ESCC will need to be identified. ESCC biomarkers have the potential to improve screening and treatment strategies; multicenter prospective studies with large sample sizes will be required to confirm the usefulness of these candidate biomarkers.