BMC Medical Genomics最新文献

{"title":"LIMA1 inhibits cisplatin resistance and malignant biological behavior of bladder cancer cells by suppressing the Wnt/β-catenin pathway.","authors":"Zhong Lv, Shuchen Zhao, Haoran Wu","doi":"10.1186/s12920-025-02146-z","DOIUrl":"10.1186/s12920-025-02146-z","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to explore the effect of LIM domain and actin binding 1 (LIMA1) on bladder cancer (BCa) cells and to investigate its underlying molecular mechanisms.</p><p><strong>Methods: </strong>The expression of LIMA1 gene in clinical BCa tissue samples and BCa cell models was detected using real-time quantitative PCR and western blot. Subsequently, LIMA1 knockdown experiments were performed exclusively in the BCa J82 cell line, while LIMA1 overexpression was conducted only in the cisplatin-resistant J82/CR cell line. The proliferation of the cells was assessed by colony formation assay. Cisplatin resistance was evaluated by MTT assay. Migration and invasion of the cells were tested by Transwell assay. Additionally, the levels of key proteins in the Wnt/β-catenin signaling pathway were examined by western blotting.</p><p><strong>Results: </strong>We found that LIMA1 was underexpressed in BCa tissues and cells (P < 0.01). Overexpression of LIMA1 inhibited the proliferation, migration, invasion, and epithelial-mesenchymal transition of BCa cells (P < 0.01) and improved their cisplatin resistance (P < 0.01), whereas knocking down LIMA1 produced opposite results (P < 0.01). Furthermore, overexpression of LIMA1 could suppress the Wnt/β-catenin signaling pathway in BCa cells (P < 0.01), and activation of this pathway partially reversed the anti-tumor effects produced by overexpression of LIMA1 (P < 0.01).</p><p><strong>Conclusion: </strong>LIMA1 could inhibit the malignant biological behavior of BCa cells and weaken their cisplatin resistance by negatively regulating the Wnt/β-catenin signaling pathway. Our findings provide new insights for the clinical treatment of BCa.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"78"},"PeriodicalIF":2.0,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12016094/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143957763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CCT8 drives colorectal cancer progression via the RPL4-MDM2-p53 axis and immune modulation.","authors":"Yangyang Teng, Hao Lin, Zijian Lin, Xichen Li, Yejiao Ruan, Binhui Pan, Jinlin Ge, Yuesheng Zhu, Daopo Lin, Qingji Ying, Zhenzhai Cai, Xuanping Xia","doi":"10.1186/s12920-025-02133-4","DOIUrl":"https://doi.org/10.1186/s12920-025-02133-4","url":null,"abstract":"<p><strong>Purpose: </strong>Colorectal cancer (CRC) ranks high in global mortality, emphasizing the need for effective interventions. The aim of the research is to elucidate the oncogenic role of CCT8 in CRC and its interaction with RPL4 in the RPL4-MDM2-p53 axis.</p><p><strong>Methods: </strong>TIMER 2.0, TCGA, and GTEx databases were used to analyze CCT8 expression patterns in CRC. Immunohistochemistry was performed to examine CCT8 distribution in CRC tissues and adjacent non-tumor tissues. Functional assays, including CCK-8, transwell, wound-healing, and flow cytometry, were conducted using DLD-1 and HCT116 cell lines to assess the effects of CCT8 on cell proliferation, migration, invasion, and apoptosis. Gene set enrichment analysis, protein-protein interaction network analysis, and co-immunoprecipitation were performed to explore the interaction between CCT8 and RPL4 and their role in the RPL4-MDM2-p53 pathway. Additionally, gene set variation analysis was applied to investigate the relationship between CCT8/RPL4 expression and immune infiltration patterns in CRC.</p><p><strong>Results: </strong>CCT8 was significantly upregulated in CRC and associated with tumor progression. Mechanistically, CCT8 potentially synergizes with RPL4 concluded from their positive correlation and similar immune infiltration patterns, influencing the RPL4-MDM2-p53 axis and contributing to p53 ubiquitination and degradation.</p><p><strong>Conclusion: </strong>These findings underscore the oncogenic significance of CCT8 in CRC and shed light on its molecular mechanisms, paving the way for potential therapeutic applications.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"77"},"PeriodicalIF":2.1,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12008926/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143965367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of intragenic variants in pediatric patients with intellectual disability in Peru.","authors":"Hugo Hernán Abarca-Barriga, Flor Vásquez Sotomayor, Renzo Punil-Luciano, María Cristina Laso-Salazar, Heli Jaime Barrón-Pastor","doi":"10.1186/s12920-025-02141-4","DOIUrl":"https://doi.org/10.1186/s12920-025-02141-4","url":null,"abstract":"<p><strong>Background: </strong>Intellectual disability in Latin America can reach a frequency of 12% of the population, these may include nutritional deficiencies, exposure to toxic or infectious agents, and the lack of universal neonatal screening programs. In 90% of patients with intellectual disability, the etiology can be attributed to variants in the genome.</p><p><strong>Objective: </strong>to determine intragenic variants in patients with intellectual disability between 5 and 18 years old at Instituto Nacional de Salud del Niño.</p><p><strong>Methods: </strong>It is a descriptive cross-sectional study with convenience sampling. A total of 124 children diagnosed with intellectual disability were selected based on psychological test results and availability for whole exome sequencing. In addition, a chromosomal analysis of 6.55 M was performed on ten patients with a negative result in sequencing. Relative and absolute frequencies and measures of central tendency and dispersion were determined according to their nature. In addition, multiple linear regression and Poisson regression were used to determine the association between some clinical characteristics and the probability of occurrence in patients with positive results.</p><p><strong>Results: </strong>The median age of the patients was 6.3 (IQR = 5.95), males accounted for 57.3%, and 91.9% of the cases had mild intellectual disability. Exome sequencing determined the etiology in 30.6% of patients with intellectual disability, of which 52.6% were autosomal dominant inheritance. The most frequent genes found were MECP2, STXBP1 and LAMA2. A broad genotype-phenotype correlation was identified, highlighting the genetic heterogeneity of intellectual disability in this population. The presence of dermatologic lesions, dystonia, peripheral neurological disorders, and fourth finger flexion limitation were observed more frequently in patients with intellectual disability with \"positive results\".</p><p><strong>Conclusions: </strong>This study shows that one-third of patients with intellectual disability exhibit intragenic variants, highlighting the importance of genetic analysis for accurate diagnosis. The identification of genes such as MECP2, STXBP1, and LAMA2 underscores the genetic heterogeneity of intellectual disability in the studied population. These findings emphasize the need for genetic testing in clinical management and the implementation of early detection programs in Peru.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"76"},"PeriodicalIF":2.1,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12008840/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143952967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comprehensive analysis of diagnostic biomarkers related to histone acetylation in acute myocardial infarction.","authors":"Man Li, Lifeng Yang, Yan Wang, Lei Zhang","doi":"10.1186/s12920-025-02135-2","DOIUrl":"10.1186/s12920-025-02135-2","url":null,"abstract":"<p><strong>Background: </strong>Acute myocardial infarction (AMI) has become a serious disease that endangers human health, with high morbidity and mortality. Numerous studies have reported histone acetylation can result in the occurrence of cardiovascular diseases. This article aims to explore the potential biomarkers of histone acetylation regulatory genes (ARGs) in AMI patients.</p><p><strong>Methods: </strong>Five AMI datasets were downloaded from the Gene Expression Omnibus (GEO) database. Next, ARG-related genes were gathered by gene set variation analysis (GSVA) and Spearman's correlation analysis. Subsequently, weighted gene co-expression network analysis (WGCNA) was performed to identify the module genes related to histone acetylation regulation. In the GSE60993 and GSE48060 datasets, the common differentially expressed genes (DEGs) between AMI and control samples were screened. Importantly, the intersecting genes were obtained by overlapping ARGs-related genes, common DEGs, and module genes. Then, the biomarkers in AMI were determined by machine learning, receiver operating characteristic (ROC) curves, and quantitative PCR (qPCR). In addition, immune analysis, drug prediction, molecular docking, and the lncRNA-miRNA-mRNA regulatory network targeting the biomarkers were analyzed, respectively.</p><p><strong>Results: </strong>Here, a total of 18 intersecting genes were identified by overlapping 7,349 ARGs-related genes, 5,565 module genes, and 25 common DEGs. Further, five biomarkers (AQP9, HLA-DQA1, MCEMP1, NKG7, and S100A12) were obtained, and a nomogram was constructed and verified based on these biomarkers. Notably, the biomarkers were significantly associated with CD8 T cells and neutrophils. In addition, the drugs related to biomarkers were predicted, and ATOGEPANT with the molecular target (S100A12) had a high binding affinity (docking score = -10 kcal/mol).</p><p><strong>Conclusion: </strong>AQP9, HLA-DQA1, MCEMP1, NKG7, and S100A12 were identified as biomarkers related to ARGs in AMI, which provides a new perspective to study the relationship between ARGs and AMI.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"75"},"PeriodicalIF":2.0,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335776/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143960575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Causal associations between inflammatory bowel disease and sepsis: a two-sample Mendelian randomization study.","authors":"Renyang Tong, Ziting Liang, Chengui Zhuo, Xueyang Bai, Ling Dao, Lu Yu, Ling Li, Zhaohui Tong, Youyou Du, Longwei Xu","doi":"10.1186/s12920-025-02143-2","DOIUrl":"https://doi.org/10.1186/s12920-025-02143-2","url":null,"abstract":"<p><strong>Background: </strong>Recent observational studies have revealed an inconclusive correlation between inflammatory bowel disease (IBD) and sepsis, accompanied by an uncertain understanding of the causal relationship between the two. To investigate the causality between IBD and sepsis, we employed a two-sample Mendelian randomization (MR) approach.</p><p><strong>Methods: </strong>A genome-wide significant threshold (P < 5 × 10^-8) was achieved in order to identify single nucleotide polymorphisms (SNPs) as instrumental variables (IVs) for two types of IBD, such as Crohn's disease (CD) and ulcerative colitis (UC). Subsequently, the selected SNPs were assessed in relation to three categories of sepsis, namely sepsis, sepsis (critical care), and sepsis (28-day death in critical care). An inverse-variance weighted (IVW) estimation of MR was conducted, followed by sensitivity analysis on multiple dimensions.</p><p><strong>Results: </strong>There was a significant association between genetic liability to CD (IVW: OR, 1.246; 95% CI, 1.090-1.423; P = 0.0012) with sepsis (28-day death in critical care), but not with sepsis (critical care) and sepsis. Whereas UC showed slightly, yet statistically insignificant, higher risk for sepsis (IVW: OR, 1.031; 95% CI, 0.988-1.064; P = 0.064).</p><p><strong>Conclusion: </strong>Our study offers genetic evidence that supports a substantial causal relationship between CD and sepsis (28-day death in critical care). To enhance the specificity and objectivity of future research findings, it is recommended to specify the types of IBD and the severity of sepsis. Furthermore, the genetic risk loci related may become potential drug development targets.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"74"},"PeriodicalIF":2.1,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12004876/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143966605","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Underrepresented populations in genomic research: a qualitative study of researchers' perspectives.","authors":"Arian Omeranovic, Flora Nguyen Van Long, Asma Boubaker, Annie Turgeon, Hermann Nabi","doi":"10.1186/s12920-025-02140-5","DOIUrl":"https://doi.org/10.1186/s12920-025-02140-5","url":null,"abstract":"<p><strong>Background: </strong>The lack of diversity in genomic data limits researchers' ability to investigate the relationships between genetic profiles, disease manifestations, and responses to new therapies. As a result, innovations in treatment could have potentially harmful effects on a significant portion of the population due to incomplete or inaccurate genomic data. In addition, the lack of harmonization in the use of population descriptors in genomic studies raises both ethical and scientific concerns regarding which descriptors should be used to study and recruit underrepresented populations. Therefore, understanding the factors contributing to the lack of diversity in genomic research is an urgent scientific, clinical, and public health priority. This study aims to explore the social and contextual factors influencing the participation of underrepresented populations in genomic research, from the perspective of researchers in the field.</p><p><strong>Methods: </strong>A total of 13 semi-structured interviews were conducted with researchers experienced in genomic research in Canada and fluent in either French or English. The interview transcripts were analyzed using thematic analysis.</p><p><strong>Results: </strong>Researchers identified several factors contributing to the low participation of underrepresented populations in genomic research, with one key factor being the geographic distribution of research institutions and the disconnect between research efforts and the communities being studied. To address this issue, participants stressed the importance of moving away from colonial practices, such as conducting research on a community without consulting its members in the design phase. Furthermore, it was suggested that existing diversity, equity, and inclusion policies alone were insufficient to effectively address the challenge. Lastly, the study also highlighted a potential link between how study populations are categorized and the willingness of underrepresented groups to participate in genomic research.</p><p><strong>Conclusion: </strong>Although researchers are generally aware of the literature on the causes, consequences, and potential solutions for increasing participation, confusion remains regarding the use of population descriptors. Our findings highlight the need for improved education, greater consensus, and expanded dialogue within the genomic research community to promote the harmonization of population descriptors.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"72"},"PeriodicalIF":2.1,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12001558/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143959056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disease candidate genes prediction using positive labeled and unlabeled instances.","authors":"Sepideh Molaei, Saeed Jalili","doi":"10.1186/s12920-025-02109-4","DOIUrl":"https://doi.org/10.1186/s12920-025-02109-4","url":null,"abstract":"<p><p>Identifying disease genes and understanding their performance is critical in producing drugs for genetic diseases. Nowadays, laboratory approaches are not only used for disease gene identification but also using computational approaches like machine learning are becoming considerable for this purpose. In machine learning methods, researchers can only use two data types (disease genes and unknown genes) to predict disease candidate genes. Notably, there is no source for the negative data set. The proposed method is a two-step process: The first step is the extraction of reliable negative genes from a set of unlabeled genes by one-class learning and a filter based on distance indicators from known disease genes; this step is performed separately for each disease. The second step is the learning of a binary model using causing genes of each disease as a positive learning set and the reliable negative genes extracted from that disease. Each gene in the unlabeled gene's production and ranking step is assigned a normalized score using two filters and a learned model. Consequently, disease genes are predicted and ranked. The proposed method evaluation of various six diseases and Cancer class indicates better results than other studies.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"73"},"PeriodicalIF":2.1,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12004746/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143969124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Liver cancer-specific prognostic model developed using endoplasmic reticulum stress-related LncRNAs and LINC01011 as a potential therapeutic target.","authors":"Xiao Du, Ning Wei, Anqi Wang, Guoping Sun","doi":"10.1186/s12920-025-02142-3","DOIUrl":"https://doi.org/10.1186/s12920-025-02142-3","url":null,"abstract":"<p><p>Liver cancer is a serious malignancy worldwide, and long noncoding RNAs (lncRNAs) have been implicated in its prognosis.It remains unclear how lncRNAs related to endoplasmic reticulum stress (ERS) influence liver cancer prognosis. Here, we analyzed RNA and clinical data from the Cancer Genome Atlas and sourced ERS-related genes from the Molecular Signatures Database. Co-expression analysis identified ERS-related lncRNAs, and Cox regression analysis as well as least absolute shrinkage and selection operator regression highlighted three lncRNAs for a prognostic model. Based on median risk scores, we classified patients into two risk groups. The high-risk group displayed poor prognosis, and this finding was validated in the test set. According to consistency clustering, the patients were assigned to two clusters, and tumor microenvironment scores were computed. Patients with a high mutation burden had worse outcomes. Furthermore, immune infiltration analysis indicated more immune cells and mutations in checkpoint molecules among high-risk individuals. Drug sensitivity varied between the risk groups. LINC01011 was selected for functional assays. Colony formation assay and CCK-8 assay revealed that silencing LINC01011 suppressed liver cancer cell proliferation. Transwell and scratch assays indicated that silencing LINC01011 inhibited liver cancer cell migration. Western blotting assay revealed that inhibiting LINC01011 induced apoptosis and simultaneously inhibited epithelial-mesenchymal transition. These findings confirm the validity of the prognostic model and indicate that LINC01011 could serve as a potential research target.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"71"},"PeriodicalIF":2.1,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12001585/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143969125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effective detection of 148 cases chromosomal mosaicism by karyotyping, chromosomal microarray analysis and QF-PCR in 32,967 prenatal diagnoses.","authors":"Yi Deng, Lan Zeng, Zhiling Wu, Jin Wang, Mengling Ye, Chun Chen, Ping Wei, Danni Wang, Guangming Deng, Shuyao Zhu","doi":"10.1186/s12920-025-02138-z","DOIUrl":"https://doi.org/10.1186/s12920-025-02138-z","url":null,"abstract":"<p><strong>Background: </strong>Detection of mosaicism has always been difficult in prenatal diagnosis, which is to assess the value of karyotyping combined with three different molecular genetic tests for prenatal diagnosis. Retrospective review of chromosomal mosaicism (CM) was conducted in 32,967 pregnant women from January 2015 to December 2022.</p><p><strong>Methods: </strong>A total of 148 fetuses diagnosed with chromosomal mosaicism by karyotyping with copy number variant sequencing (CNV-seq)/ chromosomal microarray analysis (CMA) and quantitative fluorescent polymerase chain reaction (QF-PCR) were selected, and the results from three the methods were compared and further analyzed. The χ2 test for multiple group rates was for the 5 clinical prenatal diagnostic indication groups was used to do multiple comparison tests for statistical analysis. Inconsistent results between methods were identified and further analyzed.</p><p><strong>Results: </strong>A total of 148 CM cases was detected (0.45%, 148/32967), of which karyotyping was detected in combination with CMA in 73 cases (73/85), with CNV-seq in 5 cases (5/11), and with QF-PCR in 35 cases (35/52) and the mosaic conformity rates of the three methods compared with karyotyping were 85.9% (CMA), 67.3% (QF-PCR), and 45.5% (CNV-seq), respectively. There were 49 cases of autosomal mosaicism (49/148, 33.1%) and 99 cases of sex CM (99/148, 66.9%). There were 9 cases of small supernumerary marker chromosome (sSMC)with CMA detection clarified the origin of chromosome fragments. The non-invasive prenatal testing (NIPT) group and the ultrasound abnormality group had the highest detection rates, accounting for 35.1% and 22.3%.</p><p><strong>Conclusions: </strong>In chromosomal mosaicism, there are inconsistent results between different detection methods. Therefore, karyotyping combined with CMA/CNV-seq and FISH methods significantly improves the detection rate of chromosomal mosaicism and also confirms experimental data in the literature, which is of great value for prenatal diagnosis.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"70"},"PeriodicalIF":2.1,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983862/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143964306","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"MEIS1 knockdown upregulates WNT signaling pathway genes in esophageal squamous cell carcinoma.","authors":"Nayyerehalsadat Hosseini, Mohammad Mahdi Forghanifard","doi":"10.1186/s12920-025-02134-3","DOIUrl":"https://doi.org/10.1186/s12920-025-02134-3","url":null,"abstract":"<p><strong>Background: </strong>The transcription factor MEIS1 belongs to the 3-amino acid loop extension (TALE) family of homeodomain proteins which plays various functions in normal and tumor cell progression. The canonical WNT/β-catenin pathway governs a plethora of biological processes including cell proliferation, differentiation, and tumor development. In the present study, the effect of MEIS1 gene silencing was assessed on WNT pathway genes in esophageal squamous cell carcinoma (ESCC) cells.</p><p><strong>Materials and methods: </strong>Along with the packaging plasmids, the pLKO.1-MEIS1 plasmid was cotransfected into HEK293T to generate lentiviral particles, followed by transduction of a semi-confluent KYSE-30 cell culture. After total RNA extraction and cDNA synthesis, comparative real-time PCR was applied to assess the efficiency of MEIS1 knockdown and the expression of genes related to the WNT signaling pathway.</p><p><strong>Results: </strong>The results revealed effective downregulation of MEIS1 in KYSE-30 cells. Interestingly, MEIS1 silencing led to a substantial overexpression of WNT pathway key components while the expression of negative regulators of this pathway was substantially decreased.</p><p><strong>Conclusions: </strong>Our data suggest that MEIS1 gene probably induces WNT/β-catenin pathway deactivation in ESCC cells. Consequently, the inverse correlation of MEIS1 expression and WNT signaling pathway activation may introduce a new molecular linkage through ESCC progression and aggressiveness.</p>","PeriodicalId":8915,"journal":{"name":"BMC Medical Genomics","volume":"18 1","pages":"69"},"PeriodicalIF":2.1,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11983858/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143973657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}