{"title":"Exploring the Role of the TGF-β Signaling Pathway in Colorectal Precancerous Polyps Biochemical Genetics.","authors":"Shadi Sadri, Ali Aghajani, Hiva Soleimani, Sourena Ghorbani Kalkhajeh, Haniyeh Nazari, Peiman Brouki Milan, Noshad Peyravian, Zahra Pezeshkian, Maziar Malekzadeh Kebria, Fatemeh Shirazi, Elahe Shams, Fatemeh Naderi Noukabadi, Ehsan Nazemalhosseini-Mojarad, Zahra Salehi","doi":"10.1007/s10528-024-10988-y","DOIUrl":null,"url":null,"abstract":"<p><p>Colorectal cancer (CRC) is an important public health issue and is the third most common cancer, accounting for approximately 10% of all cancer cases worldwide. CRC results from the accumulation of multiple genetic and epigenetic alterations in the normal epithelial cells of the colon and rectum, leading to the development of colorectal polyps and invasive carcinomas. The transforming growth factor-beta (TGF-β) pathway is regulated in many diseases, such as cancer. This factor can show tumor suppressant function in the early stages in healthy and cancer cells. It can be regulated and affected by different factors, including noncoding RNAs, which are the remarkable regulators for this pathway. The most prominent functions of this factor are cell cycle arrest and apoptosis in cancer cells. However, activating at the final stages of the cell cycle can cause tumor metastasis. Thus, the dual function of TGF-β and the pleiotropic nature of this signaling make it a crucial challenge for cancer treatment. Accurately studying the TGF-β signaling pathway is critical to determine its role. One of the roles of TGF-β signaling is its significant effect on colorectal polyp malignancy and cancer. In this article, we review the published scientific papers regarding the TGF-β signaling pathway, its related genes, and their contribution to precancerous conditions and colorectal cancer progression. The complex interaction of the TGF-β signaling pathway with noncoding RNAs, such as lncRNA TUG1 and miR-21, significantly influences colorectal polyp and cancer progression. Identifying dysregulated TGF-β-related noncoding RNAs offers promising therapeutic avenues for colorectal cancer. Comprehending TGF-β's connection to other molecular mechanisms is crucial for advancing effective therapeutic strategies.</p>","PeriodicalId":482,"journal":{"name":"Biochemical Genetics","volume":" ","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemical Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s10528-024-10988-y","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Colorectal cancer (CRC) is an important public health issue and is the third most common cancer, accounting for approximately 10% of all cancer cases worldwide. CRC results from the accumulation of multiple genetic and epigenetic alterations in the normal epithelial cells of the colon and rectum, leading to the development of colorectal polyps and invasive carcinomas. The transforming growth factor-beta (TGF-β) pathway is regulated in many diseases, such as cancer. This factor can show tumor suppressant function in the early stages in healthy and cancer cells. It can be regulated and affected by different factors, including noncoding RNAs, which are the remarkable regulators for this pathway. The most prominent functions of this factor are cell cycle arrest and apoptosis in cancer cells. However, activating at the final stages of the cell cycle can cause tumor metastasis. Thus, the dual function of TGF-β and the pleiotropic nature of this signaling make it a crucial challenge for cancer treatment. Accurately studying the TGF-β signaling pathway is critical to determine its role. One of the roles of TGF-β signaling is its significant effect on colorectal polyp malignancy and cancer. In this article, we review the published scientific papers regarding the TGF-β signaling pathway, its related genes, and their contribution to precancerous conditions and colorectal cancer progression. The complex interaction of the TGF-β signaling pathway with noncoding RNAs, such as lncRNA TUG1 and miR-21, significantly influences colorectal polyp and cancer progression. Identifying dysregulated TGF-β-related noncoding RNAs offers promising therapeutic avenues for colorectal cancer. Comprehending TGF-β's connection to other molecular mechanisms is crucial for advancing effective therapeutic strategies.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.