Ask about this productRelated genes to: CAPZA3 antibody
- Gene:
- CAPZA3 NIH gene
- Name:
- capping actin protein of muscle Z-line subunit alpha 3
- Previous symbol:
- -
- Synonyms:
- Gsg3, CAPPA3
- Chromosome:
- 12p12.3
- Locus Type:
- gene with protein product
- Date approved:
- 2004-01-26
- Date modifiied:
- 2018-04-23
Related products to: CAPZA3 antibody
Related articles to: CAPZA3 antibody
- Immune checkpoint inhibitors (ICIs) represent a promising therapeutic approach for esophageal squamous cell carcinoma (ESCC). However, the subpopulations of ESCC patients expected to benefit from ICIs have not been clearly defined. The anti-tumor cytotoxic activity of T cells is an important pharmacological mechanism of ICIs. In this study, the prognostic value of the genes regulating tumor cells to T cell-mediated killing (referred to as GRTTKs) in ESCC was explored by using a comprehensive bioinformatics approach. Training and validation datasets were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO), respectively. A prognostic risk scoring model was developed by integrating prognostic GRTTKs from TCGA and GEO datasets using a ridge regression algorithm. Patients with ESCC were divided into high- and low-risk groups based on eight GRTTKs (, , , , , , , and ) to predict overall survival in the TCGA cohort. Using Kaplan-Meier curves, receiver operating characteristic curves, and C-index analysis, the high reliability of the prognostic risk-scoring model was certified. The model scores served as independent prognostic factors, and combining clinical staging with risk scoring improved the predictive value. Patients in the high-risk group exhibited abundant immune cell infiltration, including immune checkpoint expression, antigen presentation capability, immune cycle gene expression, and high tumor inflammation signature scores. The high-risk group exhibited a greater response to immunotherapy and neoadjuvant chemotherapy than the low-risk group. Drug sensitivity analysis demonstrated lower IC50 for AZD6244 and PD.0332991 in high-risk groups and lower IC50 for cisplatin, ATRA, QS11, and vinorelbine in the low-risk group. Furthermore, the differential expression of GRTTK-related signatures including CDK2, TCEA1, and TMEM209 were verified in ESCC tissues and paracancerous tissues. Overall, the novel GRTTK-based prognostic model can serve as indicators to predict the survival status and immunotherapy response of patients with ESCC, thereby providing guidance for the development of personalized treatment strategies. - Source: PubMed
Publication date: 2024/02/01
Zhang XunYu ChutingZhou SiweiZhang YanhuiTian BoBian YanWang WeiLin HanWang Luo-Wei - Radiotherapy (RT), is a fundamental treatment for malignant tumors and is used in over half of cancer patients. As radiation can promote anti-tumor immune effects, a promising therapeutic strategy is to combine radiation with immune checkpoint inhibitors (ICIs). However, the genetic determinants that impact therapeutic response in the context of combination therapy with radiation and ICI have not been systematically investigated. To unbiasedly identify the tumor intrinsic genetic factors governing such responses, we perform a set of genome-scale CRISPR screens in melanoma cells for cancer survival in response to low-dose genotoxic radiation treatment, in the context of CD8 T cell co-culture and with anti-PD1 checkpoint blockade antibody. Two actin capping proteins, and , emerge as top hits that upon inactivation promote the survival of melanoma cells in such settings. and knockouts (KOs) in mouse and human cancer cells display persistent DNA damage due to impaired homology directed repair (HDR); along with increased radiation, chemotherapy, and DNA repair inhibitor sensitivity. However, when cancer cells with these genes inactivated were exposed to sublethal radiation, inactivation of such actin capping protein promotes activation of the STING pathway, induction of inhibitory ligand expression and resistance to CD8 T cell killing. Patient cancer genomics analysis reveals an increased mutational burden in patients with inactivating mutations in and/or , at levels comparable to other HDR associated genes. There is also a positive correlation between expression and activation of immune related pathways and CD8 T cell tumor infiltration. Our results unveil the critical roles of actin binding proteins for efficient HDR within cancer cells and demonstrate a previously unrecognized regulatory mechanism of therapeutic response to radiation and immunotherapy. - Source: PubMed
Publication date: 2024/01/15
Verma NipunRenauer Paul ADong ChuanpengXin ShanLin QianqianZhang FeifeiGlazer Peter MChen Sidi - The fertility of cryptorchidism patients who didn't perform corrective surgery will decrease with age. Herein, we elucidate the histological alterations and underlying molecular mechanism in patients with an increase in the disease duration from 20 to 40 years. - Source: PubMed
Publication date: 2023/10/30
Sun WeihaoZhang XinhuiWang LeiRen GuanyuPiao ShuguangYang ChenghuaLiu Zhiyong - In 2002, a report suggested that oocyte activation is induced by Plcz1 in mouse oocytes, which prompted great interest in exploring the role of sperm PLCZ1. Thus, PLCZ1 loss-of-function experiments became a crucial tool for addressing this subject. Although the only option to completely delete a target protein in fully functional spermatozoa is to use gene-deficient animals, Plcz1-deficient mice were not reported until 2017. Challenges to obtain suitable in vivo models have been related to altered expression of Capza3, a neighbor gene to Plcz1 locus in mammalian genomes that is required for spermatogenesis. With the advancement of genome-editing technologies, two groups independently and simultaneously produced Plcz1 mutant mouse lines, which were the first animal models to be artificially and reliably deficient for sperm PLCZ1. All Plcz1 mutant mouse lines display normal spermatogenesis and, surprisingly, subfertility rather than complete infertility. Moreover, analysis of oocyte Ca2+ dynamics indicates that mouse PLCĪ¶1 is an essential sperm-derived oocyte activation factor via intracytoplasmic sperm injection, as PLCZ1 deficiency causes a complete lack of Ca2+ oscillations. This seemingly contradictory phenotype can be explained by atypical Ca2+ oscillations that are provoked slowly and less frequently in the case of fertilization accompanied by physiological sperm-egg fusion. These findings not only raise new questions concerning the sperm basic biology, by clearly demonstrating the existence of a PLCZ1-independent oocyte activation mechanism in mice, but also have implications for the treatment and phenotypic interpretation of patients presenting oocyte activation failure. - Source: PubMed
Publication date: 2022/05/23
Satouh Yuhkoh - Male infertility is a multifaceted disorder affecting approximately 50% of male partners in infertile couples. Over the years, male infertility has been diagnosed mainly through semen analysis, hormone evaluations, medical records and physical examinations, which of course are fundamental, but yet inefficient, because 30% of male infertility cases remain idiopathic. This dilemmatic status of the unknown needs to be addressed with more sophisticated and result-driven technologies and/or techniques. Genetic alterations have been linked with male infertility, thereby unveiling the practicality of investigating this disorder from the "omics" perspective. Omics aims at analyzing the structure and functions of a whole constituent of a given biological function at different levels, including the molecular gene level (genomics), transcript level (transcriptomics), protein level (proteomics) and metabolites level (metabolomics). In the current study, an overview of the four branches of omics and their roles in male infertility are briefly discussed; the potential usefulness of assessing transcriptomic data to understand this pathology is also elucidated. After assessing the publicly obtainable transcriptomic data for datasets on male infertility, a total of 1385 datasets were retrieved, of which 10 datasets met the inclusion criteria and were used for further analysis. These datasets were classified into groups according to the disease or cause of male infertility. The groups include non-obstructive azoospermia (NOA), obstructive azoospermia (OA), non-obstructive and obstructive azoospermia (NOA and OA), spermatogenic dysfunction, sperm dysfunction, and Y chromosome microdeletion. Findings revealed that 8 genes () were commonly differentially expressed between all disease groups. Likewise, 56 genes were common between NOA versus NOA and OA (). These genes, particularly the above-mentioned 8 genes, are involved in diverse biological processes such as germ cell development, spermatid development, spermatid differentiation, regulation of proteolysis, spermatogenesis and metabolic processes. Owing to the stage-specific expression of these genes, any mal-expression can ultimately lead to male infertility. Therefore, currently available data on all branches of omics relating to male fertility can be used to identify biomarkers for diagnosing male infertility, which can potentially help in unravelling some idiopathic cases. - Source: PubMed
Publication date: 2022/02/14
Omolaoye Temidayo SOmolaoye Victor AKandasamy Richard KHachim Mahmood YaseenDu Plessis Stefan S