Pub Date : 2025-06-26DOI: 10.1016/j.gendis.2025.101735
Dingmei Zhang , Feng Ding , Yizhong Wang , Jie Cheng , Jiaxing Zhu , Shiyu Liu , Xin Wang , Zheng-Hong Qin , Lili Ren
Glucocorticoid-induced osteoporosis (GIOP) is a public health problem that needs urgently to be resolved, and oxidative stress is closely related to osteogenic impairment. TP53-induced glycolysis and apoptosis regulator (TIGAR) contributes to the occurrence and development of various diseases by reducing reactive oxygen species (ROS). However, it is unknown whether and how TIGAR plays a regulatory role in GIOP. The aim of the present study is to investigate the role of TIGAR in osteogenic differentiation and the underlying molecular mechanism. We explored the protective role and mechanism of TIGAR on osteogenic differentiation and GIOP by using the TIGAR overexpression plasmid and siRNA in vitro, and by constructing systemic TIGAR overexpression (TG-TIGAR) mice in vivo, respectively. In conclusion, our study clarified that TIGAR promotes osteogenic differentiation and improves GIOP by upregulating autophagy-nuclear factor erythroid-2 related factor (Nrf2)-ROS pathway, suggesting that TIGRA may be a potential therapeutic target for GIOP treatment.
{"title":"TIGAR promotes osteogenic differentiation and ameliorates glucocorticoid-induced osteoporosis via autophagy-Nrf2-ROS axis","authors":"Dingmei Zhang , Feng Ding , Yizhong Wang , Jie Cheng , Jiaxing Zhu , Shiyu Liu , Xin Wang , Zheng-Hong Qin , Lili Ren","doi":"10.1016/j.gendis.2025.101735","DOIUrl":"10.1016/j.gendis.2025.101735","url":null,"abstract":"<div><div>Glucocorticoid-induced osteoporosis (GIOP) is a public health problem that needs urgently to be resolved, and oxidative stress is closely related to osteogenic impairment. TP53-induced glycolysis and apoptosis regulator (TIGAR) contributes to the occurrence and development of various diseases by reducing reactive oxygen species (ROS). However, it is unknown whether and how TIGAR plays a regulatory role in GIOP. The aim of the present study is to investigate the role of TIGAR in osteogenic differentiation and the underlying molecular mechanism. We explored the protective role and mechanism of TIGAR on osteogenic differentiation and GIOP by using the TIGAR overexpression plasmid and siRNA <em>in vitro</em>, and by constructing systemic TIGAR overexpression (TG-TIGAR) mice <em>in vivo</em>, respectively. In conclusion, our study clarified that TIGAR promotes osteogenic differentiation and improves GIOP by upregulating autophagy-nuclear factor erythroid-2 related factor (Nrf2)-ROS pathway, suggesting that TIGRA may be a potential therapeutic target for GIOP treatment.</div></div>","PeriodicalId":12689,"journal":{"name":"Genes & Diseases","volume":"13 2","pages":"Article 101735"},"PeriodicalIF":9.4,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-23DOI: 10.1016/j.gendis.2025.101732
Xuehui Li , Yanting Shen , Na Zhang , Dong Lu , Shuhua Ding , Fanchen Wu , Xiaowei Song , Xiangru Zhou , Shan Lin , Huan Xu , Zhong Wang , Fuwen Yuan
Androgen deprivation therapies targeting the androgen receptor (AR) signaling pathway are the primary treatment strategy for prostate cancer. However, these therapies often lead to castration resistance. Developing novel agents targeting AR-independent oncogenes is critical to address this challenge, particularly for advanced castration-resistant prostate cancer. This study identified three potential tumor drivers of advanced prostate cancer, including CDC20, DTL, and RRM2, through integrative bioinformatic screening that considered gene dependency using CRISPRi/RNAi database, clinical relevance, and experimental validation with CRISPR-Cas13-mediated gene ablation. Further mechanistic studies revealed that CDC20, DTL, and RRM2 were transcriptionally regulated by the RB1/E2F1 axis, mediating cell cycle progression in prostate cancer. Additionally, we identified novel agents targeting these candidates through virtual screening and drug-sensitive tests, utilizing our established small-molecule library. These agents exhibited superior anti-tumor efficacy compared with AR antagonists in vitro. Our study identified novel prostate cancer therapeutic targets independent of the AR signaling pathway and established a research paradigm for developing anti-tumor agents through integrative cancer bioinformatics and network pharmacology analysis.
{"title":"Integrative high-throughput studies to develop novel targets and drugs for the treatment of advanced prostate cancer","authors":"Xuehui Li , Yanting Shen , Na Zhang , Dong Lu , Shuhua Ding , Fanchen Wu , Xiaowei Song , Xiangru Zhou , Shan Lin , Huan Xu , Zhong Wang , Fuwen Yuan","doi":"10.1016/j.gendis.2025.101732","DOIUrl":"10.1016/j.gendis.2025.101732","url":null,"abstract":"<div><div>Androgen deprivation therapies targeting the androgen receptor (AR) signaling pathway are the primary treatment strategy for prostate cancer. However, these therapies often lead to castration resistance. Developing novel agents targeting AR-independent oncogenes is critical to address this challenge, particularly for advanced castration-resistant prostate cancer. This study identified three potential tumor drivers of advanced prostate cancer, including CDC20, DTL, and RRM2, through integrative bioinformatic screening that considered gene dependency using CRISPRi/RNAi database, clinical relevance, and experimental validation with CRISPR-Cas13-mediated gene ablation. Further mechanistic studies revealed that CDC20, DTL, and RRM2 were transcriptionally regulated by the RB1/E2F1 axis, mediating cell cycle progression in prostate cancer. Additionally, we identified novel agents targeting these candidates through virtual screening and drug-sensitive tests, utilizing our established small-molecule library. These agents exhibited superior anti-tumor efficacy compared with AR antagonists <em>in vitro</em>. Our study identified novel prostate cancer therapeutic targets independent of the AR signaling pathway and established a research paradigm for developing anti-tumor agents through integrative cancer bioinformatics and network pharmacology analysis.</div></div>","PeriodicalId":12689,"journal":{"name":"Genes & Diseases","volume":"13 2","pages":"Article 101732"},"PeriodicalIF":9.4,"publicationDate":"2025-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145786892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-22DOI: 10.1016/j.gendis.2025.101730
Nazir M. Khan , Thanh N. Doan , Jarred M. Kaiser , Hicham Drissi
Mesenchymal stem cells (MSCs) are widely used in regenerative therapy but face limitations like low abundance, replicative senescence, donor variability, and restricted plasticity. Induced pluripotent stem cell-derived MSCs (iMSCs) may provide an alternative, but their similarities or intrinsic differences with adult MSCs remain unknown. This study compares the chondrogenic potential of iMSCs derived from chondrocyte-specific induced pluripotent stem cells, with bone marrow-derived MSCs, adipose-derived stem cells, and dedifferentiated chondrocytes. Chondrogenic differentiation was performed in high-density pellet cultures with short-term or long-term TGFβ3 treatment. Chondrogenic gene arrays, gene regulatory networks, and gene ontology analysis revealed divergent signaling pathways. Bulk RNA sequencing was performed to characterize the transcriptomic profiles of each MSC. Results showed that iMSCs produced cartilage with hyaline-like features and minimal hypertrophy, distinguishing them phenotypically from adult MSCs. Gene regulatory network analyses identified EGF, FGFR, FLT1, and HIFA as iMSC hub genes for chondrogenic differentiation. Molecular signaling analysis unveiled that TGFβ3 induced SMAD2/3, not SMAD1/5, suppressing hypertrophy in iMSC chondrogenesis. RNA sequencing highlighted cell-specific differences, functional heterogeneity, and divergent cell signaling profiles between iMSCs and adult MSCs. Using integrated transcriptome and proteome analyses, we identified and validated eight novel non-classical CD markers that may help further characterize MSCs and potentially discriminate iMSCs from other cell types. This study further advanced our understanding of MSC behaviors, emphasizing the importance of origin-specific considerations and refining the molecular description of iMSCs as an unlimited source of chondroprogenitors for cartilage regeneration.
{"title":"Chondrogenic potential of mesenchymal progenitors from somatic and cartilage-derived iPSCs is predicted by their transcriptomic signatures","authors":"Nazir M. Khan , Thanh N. Doan , Jarred M. Kaiser , Hicham Drissi","doi":"10.1016/j.gendis.2025.101730","DOIUrl":"10.1016/j.gendis.2025.101730","url":null,"abstract":"<div><div>Mesenchymal stem cells (MSCs) are widely used in regenerative therapy but face limitations like low abundance, replicative senescence, donor variability, and restricted plasticity. Induced pluripotent stem cell-derived MSCs (iMSCs) may provide an alternative, but their similarities or intrinsic differences with adult MSCs remain unknown. This study compares the chondrogenic potential of iMSCs derived from chondrocyte-specific induced pluripotent stem cells, with bone marrow-derived MSCs, adipose-derived stem cells, and dedifferentiated chondrocytes. Chondrogenic differentiation was performed in high-density pellet cultures with short-term or long-term TGFβ3 treatment. Chondrogenic gene arrays, gene regulatory networks, and gene ontology analysis revealed divergent signaling pathways. Bulk RNA sequencing was performed to characterize the transcriptomic profiles of each MSC. Results showed that iMSCs produced cartilage with hyaline-like features and minimal hypertrophy, distinguishing them phenotypically from adult MSCs. Gene regulatory network analyses identified EGF, FGFR, FLT1, and HIFA as iMSC hub genes for chondrogenic differentiation. Molecular signaling analysis unveiled that TGFβ3 induced SMAD2/3, not SMAD1/5, suppressing hypertrophy in iMSC chondrogenesis. RNA sequencing highlighted cell-specific differences, functional heterogeneity, and divergent cell signaling profiles between iMSCs and adult MSCs. Using integrated transcriptome and proteome analyses, we identified and validated eight novel non-classical CD markers that may help further characterize MSCs and potentially discriminate iMSCs from other cell types. This study further advanced our understanding of MSC behaviors, emphasizing the importance of origin-specific considerations and refining the molecular description of iMSCs as an unlimited source of chondroprogenitors for cartilage regeneration.</div></div>","PeriodicalId":12689,"journal":{"name":"Genes & Diseases","volume":"13 2","pages":"Article 101730"},"PeriodicalIF":9.4,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733084","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Big biological data contains a large amount of life science information, yet extracting meaningful insights from this data remains a complex challenge. The hidden Markov model (HMM), a statistical model widely utilized in machine learning, has proven effective in addressing various problems in bioinformatics. Despite its broad applicability, a more detailed and comprehensive discussion is needed regarding the specific ways in which HMMs are employed in this field. This review provides an overview of the HMM, including its fundamental concepts, the three canonical problems associated with it, and the relevant algorithms used for their resolution. The discussion emphasizes the model's significant applications in bioinformatics, particularly in areas such as transmembrane protein prediction, gene discovery, sequence alignment, CpG island detection, and copy number variation analysis. Finally, the strengths and limitations of the HMM are discussed, and its prospects in bioinformatics are predicted. HMMs can play a pivotal role in addressing complex biological problems and advancing our understanding of biological sequences and systems. This review can provide bioinformatics researchers with comprehensive information on HMM and guide their work.
{"title":"The hidden Markov model and its applications in bioinformatics analysis","authors":"Yingnan Ma , Haiyan Chen , Jingxuan Kang , Xuying Guo , Chen Sun , Jing Xu , Junxian Tao , Siyu Wei , Yu Dong , Hongsheng Tian , Wenhua Lv , Zhe Jia , Shuo Bi , Zhenwei Shang , Chen Zhang , Hongchao Lv , Yongshuai Jiang , Mingming Zhang","doi":"10.1016/j.gendis.2025.101729","DOIUrl":"10.1016/j.gendis.2025.101729","url":null,"abstract":"<div><div>Big biological data contains a large amount of life science information, yet extracting meaningful insights from this data remains a complex challenge. The hidden Markov model (HMM), a statistical model widely utilized in machine learning, has proven effective in addressing various problems in bioinformatics. Despite its broad applicability, a more detailed and comprehensive discussion is needed regarding the specific ways in which HMMs are employed in this field. This review provides an overview of the HMM, including its fundamental concepts, the three canonical problems associated with it, and the relevant algorithms used for their resolution. The discussion emphasizes the model's significant applications in bioinformatics, particularly in areas such as transmembrane protein prediction, gene discovery, sequence alignment, CpG island detection, and copy number variation analysis. Finally, the strengths and limitations of the HMM are discussed, and its prospects in bioinformatics are predicted. HMMs can play a pivotal role in addressing complex biological problems and advancing our understanding of biological sequences and systems. This review can provide bioinformatics researchers with comprehensive information on HMM and guide their work.</div></div>","PeriodicalId":12689,"journal":{"name":"Genes & Diseases","volume":"13 1","pages":"Article 101729"},"PeriodicalIF":9.4,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-22DOI: 10.1016/j.gendis.2025.101731
Xiajie Huang , Wenjun Hao , Yangzhou Mo , Xinyun Liang , Xiaomei Wu , Daofu Zeng , Yubin Mo , William Lu , Di Chen , Yan Chen
Distraction osteogenesis, or the Illizarov technique, induces bone regeneration using distractive mechanical forces. Nevertheless, Wolff's law holds that bone adapts to reverse compressive mechanical loads, growing denser in areas of high pressure and resorbing in zones of low pressure. These two forms of new bone formation together suggest that mechanical stimuli play an important role in bone remodeling and regeneration. The therapeutic efficacy of distraction osteogenesis has been recognized in orthopedics and maxillofacial surgeries. Distraction osteogenesis was even used for the regeneration of various other tissues/organs, such as blood vessels and skin (e.g., in the treatment of limb ischemic diseases and foot ulcers), suggesting the principle of distraction histogenesis. However, the underlying mechanisms, particularly those of the cross-organ effects and in terms of mechanotransduction, remain poorly understood. Thus, this review aims to explore the recent advances in research on musculoskeletal regeneration and its association with mechanosensitive channels from a new interdisciplinary application perspective. The contents can provide insights into potential research directions for understanding the molecular mechanisms of musculoskeletal regeneration and its clinical applications.
{"title":"Mechanotransduction and musculoskeletal regeneration: Molecular mechanisms and interdisciplinary applications","authors":"Xiajie Huang , Wenjun Hao , Yangzhou Mo , Xinyun Liang , Xiaomei Wu , Daofu Zeng , Yubin Mo , William Lu , Di Chen , Yan Chen","doi":"10.1016/j.gendis.2025.101731","DOIUrl":"10.1016/j.gendis.2025.101731","url":null,"abstract":"<div><div>Distraction osteogenesis, or the Illizarov technique, induces bone regeneration using distractive mechanical forces. Nevertheless, Wolff's law holds that bone adapts to reverse compressive mechanical loads, growing denser in areas of high pressure and resorbing in zones of low pressure. These two forms of new bone formation together suggest that mechanical stimuli play an important role in bone remodeling and regeneration. The therapeutic efficacy of distraction osteogenesis has been recognized in orthopedics and maxillofacial surgeries. Distraction osteogenesis was even used for the regeneration of various other tissues/organs, such as blood vessels and skin (<em>e.g.</em>, in the treatment of limb ischemic diseases and foot ulcers), suggesting the principle of distraction histogenesis. However, the underlying mechanisms, particularly those of the cross-organ effects and in terms of mechanotransduction, remain poorly understood. Thus, this review aims to explore the recent advances in research on musculoskeletal regeneration and its association with mechanosensitive channels from a new interdisciplinary application perspective. The contents can provide insights into potential research directions for understanding the molecular mechanisms of musculoskeletal regeneration and its clinical applications.</div></div>","PeriodicalId":12689,"journal":{"name":"Genes & Diseases","volume":"13 2","pages":"Article 101731"},"PeriodicalIF":9.4,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145577040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-22DOI: 10.1016/j.gendis.2025.101733
Tingting Zhao , Na Sun , Jun Ding , Zaihui Peng , Fei Han , Xiaowei Qi
Intra-tumoral microbes have been revealed to exist in many cancer types, attracting widespread attention. The significance of intra-tumoral microbes is becoming increasingly apparent in various aspects of human cancers, encompassing cancer initiation, progression, metastasis, diagnostic approaches, prognostic evaluations, and therapeutic interventions. Despite the considerable focus dedicated to this topic by numerous scholars, a comprehensive analysis of intra-tumoral microbiota is still lacking in human cancers. Especially, identifying specific microbial hallmarks in the occurrence and development of cancer and different cancers remains the central task for investigators. This review focuses on the identification and analysis of distinct attributes and noteworthy characteristics exhibited by intra-tumoral microbiota across various types of cancer. The potential mechanisms of intra-tumoral microbiota action, as well as the significance of the microbiome in the diagnosis and prognosis of cancer, are systematically summarized. The capacity of intra-tumoral microbes to regulate cancer treatment with a focus on the relevant microbial species, and the possibility of targeting the microbiota to improve treatment effectiveness while preventing toxicity, are specifically highlighted. Lastly, the challenges, limitations, and prospects of intra-tumoral microbes in further study and clinical application, including prognostic, diagnostic, and therapeutic applications, are discussed in cancers. This review provides a systematic summary of the specific characteristics, molecular mechanisms, therapeutic effects, and diagnostic and prognostic values of intra-tumoral microbiota in different cancers, which will help improve the diagnosis, treatment, and prognosis of tumor patients and offer new ideas for achieving precise treatment of cancer with intra-tumoral microbiota.
{"title":"The specific hallmarks, emerging roles, key mechanisms, and clinical applications of intra-tumoral microbiota in human cancers","authors":"Tingting Zhao , Na Sun , Jun Ding , Zaihui Peng , Fei Han , Xiaowei Qi","doi":"10.1016/j.gendis.2025.101733","DOIUrl":"10.1016/j.gendis.2025.101733","url":null,"abstract":"<div><div>Intra-tumoral microbes have been revealed to exist in many cancer types, attracting widespread attention. The significance of intra-tumoral microbes is becoming increasingly apparent in various aspects of human cancers, encompassing cancer initiation, progression, metastasis, diagnostic approaches, prognostic evaluations, and therapeutic interventions. Despite the considerable focus dedicated to this topic by numerous scholars, a comprehensive analysis of intra-tumoral microbiota is still lacking in human cancers. Especially, identifying specific microbial hallmarks in the occurrence and development of cancer and different cancers remains the central task for investigators. This review focuses on the identification and analysis of distinct attributes and noteworthy characteristics exhibited by intra-tumoral microbiota across various types of cancer. The potential mechanisms of intra-tumoral microbiota action, as well as the significance of the microbiome in the diagnosis and prognosis of cancer, are systematically summarized. The capacity of intra-tumoral microbes to regulate cancer treatment with a focus on the relevant microbial species, and the possibility of targeting the microbiota to improve treatment effectiveness while preventing toxicity, are specifically highlighted. Lastly, the challenges, limitations, and prospects of intra-tumoral microbes in further study and clinical application, including prognostic, diagnostic, and therapeutic applications, are discussed in cancers. This review provides a systematic summary of the specific characteristics, molecular mechanisms, therapeutic effects, and diagnostic and prognostic values of intra-tumoral microbiota in different cancers, which will help improve the diagnosis, treatment, and prognosis of tumor patients and offer new ideas for achieving precise treatment of cancer with intra-tumoral microbiota.</div></div>","PeriodicalId":12689,"journal":{"name":"Genes & Diseases","volume":"13 1","pages":"Article 101733"},"PeriodicalIF":9.4,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145155777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-20DOI: 10.1016/j.gendis.2025.101728
Mahsa Aghajani Mir , Abdolreza Daraei
Cancer is a major cause of mortality globally, characterized by its multifactorial nature and intricate treatment procedures. The main treatment options include targeted drug therapies and chemotherapy. However, overcoming drug resistance remains a significant challenge in curing cancer patients. In recent decades, substantial efforts have been made to explore the resistance of cancer cells to anti-cancer agents and to create methods to counteract this resistance. Cancer cell resistance can be attributed to various factors, including long non-coding RNAs (lncRNAs) involved in cell cycle dysregulation, abnormal DNA repair, cell proliferation, epithelial–mesenchymal transition, metastasis, apoptosis, autophagy, drug efflux transporters, epigenetic modifications, and the formation of cancer stem cells. Pseudogenes are genomic regions that harbor impaired or dysfunctional versions of genes. Although pseudogenes were traditionally considered non-functional, a growing number of them are now being found to serve important biological functions. Recent research has demonstrated that mutations and dysregulation of pseudogene-derived lncRNAs are linked with various human diseases, such as cancer drug resistance. This review concentrates on exploring the latest discoveries that elucidate the diverse molecular functions of regulatory pseudogene-derived lncRNAs implicated in cancer drug resistance and the therapeutic possibilities for overcoming drug resistance.
{"title":"Defective biological networks associated with pseudogene-derived lncRNAs in cancer drug resistance: Promising prospects for their clinical targets in cancer therapy","authors":"Mahsa Aghajani Mir , Abdolreza Daraei","doi":"10.1016/j.gendis.2025.101728","DOIUrl":"10.1016/j.gendis.2025.101728","url":null,"abstract":"<div><div>Cancer is a major cause of mortality globally, characterized by its multifactorial nature and intricate treatment procedures. The main treatment options include targeted drug therapies and chemotherapy. However, overcoming drug resistance remains a significant challenge in curing cancer patients. In recent decades, substantial efforts have been made to explore the resistance of cancer cells to anti-cancer agents and to create methods to counteract this resistance. Cancer cell resistance can be attributed to various factors, including long non-coding RNAs (lncRNAs) involved in cell cycle dysregulation, abnormal DNA repair, cell proliferation, epithelial–mesenchymal transition, metastasis, apoptosis, autophagy, drug efflux transporters, epigenetic modifications, and the formation of cancer stem cells. Pseudogenes are genomic regions that harbor impaired or dysfunctional versions of genes. Although pseudogenes were traditionally considered non-functional, a growing number of them are now being found to serve important biological functions. Recent research has demonstrated that mutations and dysregulation of pseudogene-derived lncRNAs are linked with various human diseases, such as cancer drug resistance. This review concentrates on exploring the latest discoveries that elucidate the diverse molecular functions of regulatory pseudogene-derived lncRNAs implicated in cancer drug resistance and the therapeutic possibilities for overcoming drug resistance.</div></div>","PeriodicalId":12689,"journal":{"name":"Genes & Diseases","volume":"13 2","pages":"Article 101728"},"PeriodicalIF":9.4,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145577036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-06-18DOI: 10.1016/j.gendis.2025.101723
Yuanmeng Qi , Jiarui Xia , Xuesong Zhang , Xiaoying Li , Qimeng Li , Zhenzhen Yang , Wu Yao , Changfu Hao , Youliang Zhao
{"title":"Fra2, a potential therapeutic target for silicosis","authors":"Yuanmeng Qi , Jiarui Xia , Xuesong Zhang , Xiaoying Li , Qimeng Li , Zhenzhen Yang , Wu Yao , Changfu Hao , Youliang Zhao","doi":"10.1016/j.gendis.2025.101723","DOIUrl":"10.1016/j.gendis.2025.101723","url":null,"abstract":"","PeriodicalId":12689,"journal":{"name":"Genes & Diseases","volume":"13 2","pages":"Article 101723"},"PeriodicalIF":9.4,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145464361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号