Gene
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Review Meta Analysis
The association between IL-1 family gene polymorphisms and colorectal cancer: A meta-analysis.
Colorectal cancer (CRC) is a major public health problem given its high incidence and mortality. This study focuses on examining the associations between IL-1α, IL-1β, and IL-1RN polymorphisms and colorectal cancer susceptibility. ⋯ The current meta-analysis demonstrated that IL-1α rs3783553, IL-1β + 31C/T, IL-1β + 511C/T, and IL-1RN VNTR are critical genes for CRC susceptibility.
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Gastric cancer is a complex heterogeneous disease which is the fourth prevalent malignancy worldwide. Although, several diagnosis and treatment are available for the gastric cancer patients, however the malignancy is still the third leading cause of cancer-related death in the world. Beside the genetic and environmental factors, epigenetic alterations are also involved in the emergence of gastric cancer. ⋯ Among the mentioned epigenetic modifications, DNA methylation is a major epigenetic process that plays a key role in different stages of evolution and cancer development. In this review, we address all types of related epigenetic modifications in gastric cancer by focus on DNA methylation by reviewing the recent literatures. Understanding of molecular mechanisms of epigenetics alterations in gastric cancer development helps researchers to identify new epigenetic drugs against the malignancy.
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Endometriosis is a pathological condition extensively studied, but its pathogenesis is not completely understood, since its pathophysiology stems from a broad spectrum of environmental influences and genetic factors. Moreover, the nature of this condition is heterogeneous and includes different anatomical entities. Scientists actively pursue discovery of novel biomarkers in the hope of better identifying susceptible individuals in early stages of the disease. ⋯ In this framework, comprehensive studies have been conducted at multiple biological levels by using the "omics" platforms, thus allowing to re-examine endometriosis at a greater degree of molecular resolution. -Omics technologies can detect and analyze hundreds of markers in the same experiment and their increasing use in the field of gynecology comes from an urgent need to find new diagnostic and therapeutic tools that improve the diagnosis of endometriosis and the efficacy of assisted reproductive techniques. Proteomics and metabolomics have been introduced recently into the every day methodology of researchers collaborating with gynecologists and, importantly, multi-omics approach is advantageous to gain insight of the total information that underlies endometriosis, compared to studies of any single -omics type. In this review, we expect to present multiple studies based on the high-throughput-omics technologies and to shed light in all considerable advantages that they may confer to a proper management of endometriosis.
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Review Meta Analysis
Association between F+1 polymorphism in a disintegrin and metalloprotease 33 (ADAM33) gene and chronic obstructive pulmonary disease susceptibility: An evidence-based meta-analysis.
The F+1 (rs511898 G>A) polymorphism in a disintegrin and metalloprotease 33 (ADAM33) gene has been implicated in susceptibility of chronic obstruction pulmonary disease (COPD). However, a series of studies have reported inconclusive. The aim of this study is to explore the association between the F+1 (rs511898) of ADAM33 gene and COPD susceptibility by using the method of meta-analysis. ⋯ The ADAM33 F+1 mutant gene A may increase the risk of COPD among the Asian population, while it may not associate with the European population.
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Review Meta Analysis
Integrative data mining and meta-analysis to investigate the prognostic role of microRNA-200 family in various human malignant neoplasms: A consideration on heterogeneity.
Existing meta-analysis have shown that the miR-200 family can be taken as a prognostic biomarker for many tumors. However, great heterogeneity was shown in predicting overall survival (OS) and progression-free survival (PFS). Emerging studies indicate that the expression levels of members of the miR-200 family are tissue-specific among various tumor tissues, which may be the main reason of the heterogeneity in predicting survival prognosis of tumor patients with the miR-200 family as biomarkers. By further analysis of heterogeneity of the miR-200 family as a biomarker for predicting survival prognosis of patients with different tumors, we expected to provide an accurate basis for the clinical application of the miR-200 family to predict the prognosis of patients with different tumors. ⋯ Our results convincingly demonstrated that the miR-200 family could serve as a prognostic biomarker for cancers mentioned above and has potential value in clinical practice. MiR-200 family as prognostic biomarkers needs to be performed according to different tumor tissues and correlation between members in miR-200 family.