Frontiers in Cell and Developmental Biology最新文献

{"title":"The role of STK11/LKB1 in cancer biology: implications for ovarian tumorigenesis and progression.","authors":"Jian Kang, Stefano Gallucci, Junqi Pan, Jonathan S Oakhill, Elaine Sanij","doi":"10.3389/fcell.2024.1449543","DOIUrl":"10.3389/fcell.2024.1449543","url":null,"abstract":"<p><p>STK11 (serine-threonine kinase 11), also known as LKB1 (liver kinase B1) is a highly conserved master kinase that regulates cellular metabolism and polarity through a complex signaling network involving AMPK and 12 other AMPK-related kinases. Germline mutations in <i>LKB1</i> have been causatively linked to Peutz-Jeghers Syndrome (PJS), an autosomal dominant hereditary disease with high cancer susceptibility. The identification of inactivating somatic mutations in <i>LKB1</i> in different types of cancer further supports its tumor suppressive role. Deleterious mutations in <i>LKB1</i> are frequently observed in patients with epithelial ovarian cancer. However, its inconsistent effects on tumorigenesis and cancer progression suggest that its functional impact is genetic context-dependent, requiring cooperation with other oncogenic lesions. In this review, we summarize the pleiotropic functions of LKB1 and how its altered activity in cancer cells is linked to oncogenic proliferation and growth, metastasis, metabolic reprogramming, genomic instability, and immune modulation. We also review the current mechanistic understandings of this master kinase as well as therapeutic implications with particular focus on the effects of LKB1 deficiency in ovarian cancer pathogenesis. Lastly, we discuss whether LKB1 deficiency can be exploited as an Achilles heel in ovarian cancer.</p>","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1449543"},"PeriodicalIF":4.6,"publicationDate":"2024-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11560430/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Editorial: Unlocking the potential of cell therapy: exploring cell types, induction methods, and culture techniques.","authors":"Viknesvaran Selvarajan, Samuel Ken-En Gan, Yuen Ling Ng","doi":"10.3389/fcell.2024.1515978","DOIUrl":"https://doi.org/10.3389/fcell.2024.1515978","url":null,"abstract":"","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1515978"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11558036/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting an opaque bubble layer during small-incision lenticule extraction surgery based on deep learning.","authors":"Zeyu Zhu, Xiang Zhang, Qing Wang, Jian Xiong, Jingjing Xu, Kang Yu, Zheliang Guo, Shaoyang Xu, Mingyan Wang, Yifeng Yu","doi":"10.3389/fcell.2024.1487482","DOIUrl":"10.3389/fcell.2024.1487482","url":null,"abstract":"<p><strong>Aim: </strong>This study aimed to predict the formation of OBL during femtosecond laser SMILE surgery by employing deep learning technology.</p><p><strong>Methods: </strong>This was a cross-sectional, retrospective study conducted at a university hospital. Surgical videos were randomly divided into a training (3,271 patches, 73.64%), validation (704 patches, 15.85%), and internal verification set (467 patches, 10.51%). An artificial intelligence (AI) model was developed using a SENet-based residual regression deep neural network. Model performance was assessed using the mean absolute error (<i>E</i> _<i>MA</i> ), Pearson's correlation coefficient (<i>r</i>), and determination coefficient (<i>R</i> ^<i>2</i> ).</p><p><strong>Results: </strong>Four distinct types of deep neural network models were established. The modified deep residual neural network prediction model with channel attention built on the PyTorch framework demonstrated the best predictive performance. The predicted OBL area values correlated well with the Photoshop-based measurements (<i>E</i> _<i>MA</i> = 0.253, <i>r</i> = 0.831, <i>R</i> ^<i>2</i> = 0.676). The ResNet (<i>E</i> _<i>MA</i> = 0.259, <i>r</i> = 0.798, <i>R</i> ^<i>2</i> = 0.631) and Vgg19 models (<i>E</i> _<i>MA</i> = 0.31, <i>r</i> = 0.758, <i>R</i> ^<i>2</i> = 0.559) both displayed satisfactory predictive performance, while the U-net model (<i>E</i> _<i>MA</i> = 0.605, <i>r</i> = 0.331, <i>R</i> ^<i>2</i> = 0.171) performed poorest.</p><p><strong>Conclusion: </strong>We used a panoramic corneal image obtained before the SMILE laser scan to create a unique deep residual neural network prediction model to predict OBL formation during SMILE surgery. This model demonstrated exceptional predictive power, suggesting its clinical applicability across a broad field.</p>","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1487482"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557347/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617599","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Screening of pathologically significant diagnostic biomarkers in tears of thyroid eye disease based on bioinformatic analysis and machine learning.","authors":"Xingyi Shu, Chengcheng Zeng, Yanfei Zhu, Yuqing Chen, Xiao Huang, Ruili Wei","doi":"10.3389/fcell.2024.1486170","DOIUrl":"10.3389/fcell.2024.1486170","url":null,"abstract":"<p><strong>Background: </strong>Lacrimal gland enlargement is a common pathological change in patients with thyroid eye disease (TED). Tear fluid has emerged as a new source of diagnostic biomarkers, but tear-based diagnostic biomarkers for TED with high efficacy are still lacking.</p><p><strong>Objective: </strong>We aim to investigate genes associated with TED-associated lacrimal gland lesions. Additionally, we seek to identify potential biomarkers for diagnosing TED in tear fluid.</p><p><strong>Methods: </strong>We obtained two expression profiling datasets related to TED lacrimal gland samples from the Gene Expression Omnibus (GEO). Subsequently, we combined the two separate datasets and conducted differential gene expression analysis and weighted gene co-expression network analysis (WGCNA) on the obtained integrated dataset. The genes were employed for Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The genes were intersected with the secretory proteins profile to get the potential proteins in the tear fluid. Machine learning techniques were then employed to identify optimal biomarkers and develop a diagnostic nomogram for predicting TED. Finally, gene set enrichment analysis (GSEA) and immune infiltration analysis were conducted on screened hub genes to further elucidate their potential mechanisms in TED.</p><p><strong>Results: </strong>In our analysis of the integrated TED dataset, we identified 2,918 key module genes and 157 differentially expressed genes and finally obtained 84 lacrimal-associated key genes. Enrichment analysis disclosed that these 84 genes primarily pertain to endoplasmic reticulum organization. After intersecting with the secretory proteins, 13 lacrimal gland-associated secretory protein genes (LaSGs) were identified. The results from machine learning indicated the substantial diagnostic value of dyslexia associated gene (KIAA0319) and peroxiredoxin4 (PRDX4) in TED-associated lacrimal gland lesions. The two hub genes were chosen as candidate biomarkers in tear fluid and employed to establish a diagnostic nomogram. Furthermore, single-gene GSEA results and immune cell infiltration analysis unveiled immune dysregulation in the lacrimal gland of TED, with KIAA0319 and PRDX4 showing significant associations with infiltrating immune cells.</p><p><strong>Conclusions: </strong>We uncovered the distinct pathophysiology of TED-associated lacrimal gland enlargement compared to TED-associated orbital adipose tissue enlargement. We have demonstrated the endoplasmic reticulum-related pathways involved in TED-associated lacrimal gland lesions and established a diagnostic nomogram for TED utilizing KIAA0319 and PRDX4 through integrated bioinformatics analysis. This contribution offers novel insights for non-invasive, prospective diagnostic approaches in the context of TED.</p>","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1486170"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11561714/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Unveiling the dynamics of circulating tumor cells in colorectal cancer: from biology to clinical applications.","authors":"Claudia Dompé, Aleksandra Chojnowska, Rodryg Ramlau, Michal Nowicki, Catherine Alix-Panabières, Joanna Budna-Tukan","doi":"10.3389/fcell.2024.1498032","DOIUrl":"10.3389/fcell.2024.1498032","url":null,"abstract":"<p><p>This review delves into the pivotal role of circulating tumor cells (CTCs) in colorectal cancer (CRC) metastasis, focusing on their biological properties, interactions with the immune system, advanced detection techniques, and clinical implications. We explored how metastasis-competent CTCs evade immune surveillance and proliferate, utilizing cutting-edge detection and isolation technologies, such as microfluidic devices and immunological assays, to enhance sensitivity and specificity. The review highlights the significant impact of CTC interactions with immune cells on tumor progression and patient outcomes. It discusses the application of these findings in clinical settings, including non-invasive liquid biopsies for early diagnosis, prognosis, and treatment monitoring. Despite advancements, challenges remain, such as the need for standardized methods to consistently capture and analyze CTCs. Addressing these challenges through further molecular and cellular research on CTCs could lead to improved interventions and outcomes for CRC patients, underscoring the importance of unraveling the complex dynamics of CTCs in cancer progression.</p>","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1498032"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557528/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Human decidua basalis mesenchymal stem/stromal cells enhance anticancer properties of human natural killer cells, <i>in vitro</i>.","authors":"Abdulaziz Almutairi, Najlaa A Alshehri, Abdullah Al Subayyil, Eman Bahattab, Manal Alshabibi, Fawaz Abomaray, Yasser S Basmaeil, Tanvir Khatlani","doi":"10.3389/fcell.2024.1435484","DOIUrl":"10.3389/fcell.2024.1435484","url":null,"abstract":"<p><strong>Introduction: </strong>Mesenchymal stem cells/stromal cells from the <i>Decidua Basalis</i> of the human placenta (DBMSCs) express wide range of effector molecules that modulate the functions of their target cells. These properties make them potential candidate for use in cellular therapy. In this study, we have investigated the consequences of interaction between DBMSCs and natural killer (NK) cells for both cell types.</p><p><strong>Methods: </strong>DBMSCs were cultured with IL-2-activated and resting non-activated NK cells isolated from healthy human peripheral blood and various functional assays were performed including, NK cell proliferation and cytolytic activities. Flow cytometry and microscopic studies were performed to examine the expression of NK cell receptors that mediate these cytolytic activities against DBMSCs. Moreover, the mechanism underlying these effects was also investigated.</p><p><strong>Results: </strong>Our findings revealed that, co-culture of DBMSCs and NK cells resulted in inhibition of proliferation of resting NK cells, while proliferation of IL-2 activated NK cells was increased. Contrarily, treatment of DBMSC's with comparatively high numbers of IL-2 activated NK cells, resulted in their lysis, whereas treatment with low numbers resulted in reduction in their proliferation. Cytolytic activity of NK cells against DBMSCs was mediated by several activating NK cell receptors. In spite of the expression of HLA class I molecules by DBMSCs, they were still lysed by NK cells, excluding their involvement in cytolytic activity. In addition, preconditioning NK cells by DBMSCs, enhanced their ability to suppress tumor cell proliferation and in severe cases resulted in their partial lysis. Lysis and decrease of tumor cell proliferation is associated with increased expression of important molecules involved in anticancer activities.</p><p><strong>Discussion: </strong>We conclude that DBMSCs exhibit dualfunctions on NK cells that enhance their anticancer therapeutic potential.</p>","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1435484"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557523/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research hotspots and trends of mesenchymal stem cell-derived extracellular vesicles for drug delivery: a bibliometric and visualization analysis from 2013 to 2023.","authors":"Tianyuan Zhao, Yuhao Mu, Haobin Deng, Kaini Liang, Fanfan Zhou, Qiyuan Lin, Fuyang Cao, Feifei Zhou, Zhen Yang","doi":"10.3389/fcell.2024.1412363","DOIUrl":"10.3389/fcell.2024.1412363","url":null,"abstract":"<p><strong>Introduction: </strong>Our study aims to provide a comprehensive overview of mesenchymal stem cell-derived extracellular vesicles (MSC-EVs) in drug delivery research, focusing on the period between 2013 and 2023. Given the increasing global interest in this field, we utilized bibliometric tools to explore publication trends, key contributors, and thematic research clusters.</p><p><strong>Methods: </strong>Data was collected from the Web of Science (WoS) database, and an in-depth bibliometric analysis was conducted using VOSviewer. The analysis encompassed bibliographic coupling, co-citation, co-authorship, and co-occurrence trends, offering a structured insight into global research activity. We also employed Citespace to further analyze thematic clusters in this domain.</p><p><strong>Results: </strong>Our analysis revealed a total of 1,045 publications related to MSC-EVs in drug delivery over the past decade, showing a steady increase in research output. China led in publication count, H-index, prolific authors, and research funding, while the United States ranked highest in total citations, average citation counts, and H-index performance. Pharmaceutics emerged as the leading journal by publication volume, with the Journal of Controlled Release having the strongest total link strength. Top institutions driving research included Shanghai Jiao Tong University, Zhejiang University, and Harvard University. VOSviewer analysis identified four major research clusters: tissue engineering, cancer, neurological diseases, and targeted delivery. Citespace analysis refined this further into ten thematic areas, including differentiation, tissue regeneration, and drug resistance.</p><p><strong>Discussion: </strong>This bibliometric assessment provides a holistic visualization of the research landscape for MSC-EVs in drug delivery, underlining the significant contributions of China and the United States. Our findings underscore the increasing global importance of MSC-EV research and highlight emerging themes that will likely guide future research directions. The insights from this study offer a foundational framework for identifying nascent frontiers in MSC-EV-based drug delivery.</p>","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1412363"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PtosisDiffusion: a training-free workflow for precisely predicting post-operative appearance in blepharoptosis patients based on diffusion models.","authors":"Shenyu Huang, Jiajun Xie, Boyuan Yang, Qi Gao, Juan Ye","doi":"10.3389/fcell.2024.1459336","DOIUrl":"10.3389/fcell.2024.1459336","url":null,"abstract":"<p><strong>Purpose: </strong>This study aims to develop a diffusion-based workflow to precisely predict postoperative appearance in blepharoptosis patients.</p><p><strong>Methods: </strong>We developed PtosisDiffusion, a training-free workflow that combines face mesh with ControlNet for accurate post-operative predictions, and evaluated it using 39 preoperative photos from blepharoptosis patients. The performance of PtosisDiffusion was compared against three other diffusion-based methods: Conditional Diffusion, Repaint, and Dragon Diffusion.</p><p><strong>Results: </strong>PtosisDiffusion demonstrated superior performance in subjective evaluations, including overall rating, correction, and double eyelid formation. Statistical analyses confirmed that PtosisDiffusion achieved the highest overlap ratio (0.87 <math><mrow><mo>±</mo></mrow> </math> 0.07) and an MPLPD ratio close to 1 (1.01 <math><mrow><mo>±</mo></mrow> </math> 0.10). The model also showed robustness in extreme cases, and ablation studies confirmed the necessity of each model component.</p><p><strong>Conclusion: </strong>PtosisDiffusion generates accurate postoperative appearance predictions for ptosis patients using only preoperative photographs. Among the four models tested, PtosisDiffusion consistently outperformed the others in both subjective and statistical evaluation.</p>","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1459336"},"PeriodicalIF":4.6,"publicationDate":"2024-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557522/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617694","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparative analysis of human and mouse transcriptomes during skin wound healing.","authors":"Maochun Wang, Jiao Zhang, Chongxu Qiao, Shunchao Yan, Guoping Wu","doi":"10.3389/fcell.2024.1486493","DOIUrl":"https://doi.org/10.3389/fcell.2024.1486493","url":null,"abstract":"<p><p>Skin wound healing is a complex process which involves multiple molecular events and the underlying mechanism is not fully understood. We presented a comparative transcriptomic analysis of skin wound healing in humans and mice to identify shared molecular mechanisms across species. We analyzed transcriptomes from three distinct stages of the healing process and constructed protein-protein interaction networks to elucidate commonalities in the healing process. A substantial number of differentially expressed genes (DEGs) were identified in human transcriptomes, particularly upregulated genes before and after wound injury, and enriched in processes related to extracellular matrix organization and leukocyte migration. Similarly, the mouse transcriptome revealed thousands of DEGs, with shared biological processes and enriched KEGG pathways, highlighting a conserved molecular signature in skin wound healing. A total of 21 common DEGs were found across human comparisons, and 591 in mouse comparisons, with four genes (KRT2, MARCKSL1, MMP1, and TNC) consistently differentially expressed in both species, suggesting critical roles in mammalian skin wound healing. The expression trends of these genes were consistent, indicating their potential as therapeutic targets. The molecular network analysis identified five subnetworks associated with collagen synthesis, immunity, cell-cell adhesion, and extracellular matrix, with hub genes such as COL4A1, TLR7, TJP3, MMP13, and HIF1A exhibited significant expression changes before and after wound injury in humans and mice. In conclusion, our study provided a detailed molecular network for understanding the healing process in humans and mice, revealing conserved mechanisms that could help the development of targeted therapies across species.</p>","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1486493"},"PeriodicalIF":4.6,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11554618/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142635844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CHAC1: a master regulator of oxidative stress and ferroptosis in human diseases and cancers.","authors":"Jiasen Sun, Hui Ren, Jiawen Wang, Xiang Xiao, Lin Zhu, Yanyan Wang, Lili Yang","doi":"10.3389/fcell.2024.1458716","DOIUrl":"https://doi.org/10.3389/fcell.2024.1458716","url":null,"abstract":"<p><p>CHAC1, an essential regulator of oxidative stress and ferroptosis, is increasingly recognized for its significant roles in these cellular processes and its impact on various human diseases and cancers. This review aims to provide a comprehensive overview of CHAC1's molecular functions, regulatory mechanisms, and effects in different pathological contexts. Specifically, the study objectives are to elucidate the biochemical pathways involving CHAC1, explore its regulatory network, and discuss its implications in disease progression and potential therapeutic strategies. As a γ-glutamyl cyclotransferase, CHAC1 degrades glutathione, affecting calcium signaling and mitochondrial function. Its regulation involves transcription factors like ATF4 and ATF3, which control CHAC1 mRNA expression. CHAC1 is crucial for maintaining redox balance and regulating cell death pathways in cancer. Its elevated levels are associated with poor prognosis in many cancers, indicating its potential as a biomarker and therapeutic target. Additionally, CHAC1 influences non-cancerous diseases such as neurodegenerative and cardiovascular disorders. Therapeutically, targeting CHAC1 could increase cancer cell sensitivity to ferroptosis, aiding in overcoming resistance to standard treatments. This review compiles current knowledge and recent discoveries, emphasizing CHAC1's vital role in human diseases and its potential in diagnostic and therapeutic applications.</p>","PeriodicalId":12448,"journal":{"name":"Frontiers in Cell and Developmental Biology","volume":"12 ","pages":"1458716"},"PeriodicalIF":4.6,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11554486/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142617335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}