Systematic analysis of the cuprotosis in tumor microenvironment and prognosis of gastric cancer

Wang, Ke-wei; Wang, Mei-dan; Li, Zi-xi; Hu, Ben-Shun; Huang, Jianfeng; Wu, Jun-jie; Yuan, Zheng-dong; Wu, Xiaolong; Yuan, Qin-fang; Sun, Yifan; Yuan, Feng-lai

doi:10.1016/j.heliyon.2023.e13831

Cited by 6 publications

(3 citation statements)

References 76 publications

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“…Leveraging R packages like “rms”, “rmda”, and “Hmisc”, and using RAR-DEGs expression values along with clinical information as independent variables and sample grouping as the dependent variable, we constructed a visual nomogram and accompanying calibration curve. Lastly, referencing the R packages “glmnet”, “pROC”, and “ggsci”, we plotted curves for each parameter variable via receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA) [ 32 , 33 ]. this was done to validate the risk model’s and nomogram’s precision in predicting SCZ.…”

Section: Methodsmentioning

confidence: 99%

Autophagy-related gene model as a novel risk factor for schizophrenia

Tan,

Zhu,

Hashimoto

2024

Transl Psychiatry

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Autophagy, a cellular process where cells degrade and recycle their own components, has garnered attention for its potential role in psychiatric disorders, including schizophrenia (SCZ). This study aimed to construct and validate a new autophagy-related gene (ARG) risk model for SCZ. First, we analyzed differential expressions in the GSE38484 training set, identifying 4,754 differentially expressed genes (DEGs) between SCZ and control groups. Using the Human Autophagy Database (HADb) database, we cataloged 232 ARGs and pinpointed 80 autophagy-related DEGs (AR-DEGs) after intersecting them with DEGs. Subsequent analyses, including metascape gene annotation, pathway and process enrichment, and protein-protein interaction enrichment, were performed on the 80 AR-DEGs to delve deeper into their biological roles and associated molecular pathways. From this, we identified 34 candidate risk AR-DEGs (RAR-DEGs) and honed this list to final RAR-DEGs via a constructed and optimized logistic regression model. These genes include VAMP7, PTEN, WIPI2, PARP1, DNAJB9, SH3GLB1, ATF4, EIF4G1, EGFR, CDKN1A, CFLAR, FAS, BCL2L1 and BNIP3. Using these findings, we crafted a nomogram to predict SCZ risk for individual samples. In summary, our study offers deeper insights into SCZ’s molecular pathogenesis and paves the way for innovative approaches in risk prediction, gene-targeted diagnosis, and community-based SCZ treatments.

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Section: Methodsmentioning

confidence: 99%

Autophagy-related gene model as a novel risk factor for schizophrenia

Tan,

Zhu,

Hashimoto

2024

Transl Psychiatry

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“…But the efficiency is lower than that of traditional solar cells, which means less energy is generated per unit area. It is easy to be damaged by moisture and oxygen, which leads to degradation over time and is more difficult to recycle than other types of solar cells because they contain toxic substances such as cadmium and selenium [3].…”

Section: Classificationmentioning

confidence: 99%

Current status and prospects of flexible solar cells

Xie

2023

ACE

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With the increasing global demand for clean energy, solar cells, as a renewable and pollution-free clean energy source, have attracted much attention. In the past, solar cells have always used rigid materials as substrates. However, this rigid solar panel is not only bulky and limited in layout, but also susceptible to external impact and damage, which is not conducive to its application in various scenarios. Flexible solar cells, developed from rigid solar cells, have the advantages of light weight, small size, high safety, and strong adaptability, gradually becoming the development trend of solar cells. The research and development of flexible solar cells benefit from the rapid development of materials. In recent years, the emergence of various new materials and preparation technologies, such as carbon fibers, polymers, organic materials, and nanostructures, has provided a better foundation for the preparation of flexible batteries. At the same time, flexible batteries can also be processed through printing, spraying and other processing methods, improving manufacturing efficiency. In addition, the demand for wearable devices, smart homes and other emerging scenarios in society has also accelerated the research and application of flexible solar cells, providing broad application prospects for their development. However, its cost is usually higher than that of rigid solar cells, and market regulation under new categories requires time to adapt. The development of flexible solar cells is benign, but it requires the market to test its standardization.

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“…Based on the spatial distribution of CD8 + cytotoxic T lymphocytes (CTLs) within the TME, tumors have been categorized into three primary immune phenotypes: immune-inflamed, immune-excluded, and immune-desert ( 7 , 8 ). In immune-inflamed tumors, CD8 + T cells penetrate the tumor parenchyma, whereas in immune-excluded tumors, they gather around the tumor parenchyma without infiltrating it, and are completely absent in immune-desert tumors and their peripheries ( 9 , 10 ).…”

Section: Introductionmentioning

confidence: 99%

Enhancing immunotherapy outcomes by targeted remodeling of the tumor microenvironment via combined cGAS-STING pathway strategies

Huang,

Cha,

Liu

et al. 2024

Front. Immunol.

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Immune checkpoint inhibitors (ICIs) represent a groundbreaking advance in the treatment of malignancies such as melanoma and non-small cell lung cancer, showcasing substantial therapeutic benefits. Nonetheless, the efficacy of ICIs is limited to a small subset of patients, primarily benefiting those with “hot” tumors characterized by significant immune infiltration. The challenge of converting “cold” tumors, which exhibit minimal immune activity, into “hot” tumors to enhance their responsiveness to ICIs is a critical and complex area of current research. Central to this endeavor is the activation of the cGAS-STING pathway, a pivotal nexus between innate and adaptive immunity. This pathway’s activation promotes the production of type I interferon (IFN) and the recruitment of CD8+ T cells, thereby transforming the tumor microenvironment (TME) from “cold” to “hot”. This review comprehensively explores the cGAS-STING pathway’s role in reconditioning the TME, detailing the underlying mechanisms of innate and adaptive immunity and highlighting the contributions of various immune cells to tumor immunity. Furthermore, we delve into the latest clinical research on STING agonists and their potential in combination therapies, targeting this pathway. The discussion concludes with an examination of the challenges facing the advancement of promising STING agonists in clinical trials and the pressing issues within the cGAS-STING signaling pathway research.

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Systematic analysis of the cuprotosis in tumor microenvironment and prognosis of gastric cancer

Cited by 6 publications

References 76 publications

Autophagy-related gene model as a novel risk factor for schizophrenia

Autophagy-related gene model as a novel risk factor for schizophrenia

Current status and prospects of flexible solar cells

Enhancing immunotherapy outcomes by targeted remodeling of the tumor microenvironment via combined cGAS-STING pathway strategies

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