Titin gene mutations enhance radiotherapy efficacy via modulation of tumour immune microenvironment in rectum adenocarcinoma by Hengchang Liu, Jialiang Liu, Xu Guan, Zhixun Zhao, Pu Cheng, Haipeng Chen, Zheng Jiang, Xishan Wang

“…Methods Data on gene expression and mutations in READ were obtained from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. …”
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Spatially resolved transcriptomics reveals gene expression characteristics in uveal melanoma by Jing-Ying Xiu, Yu-Ning Chen, Ya-Li Mao, Jing-Ting Luo, Hao-Wen Li, Yang Li, Wen-Bin Wei

“…Differentially expressed genes (DEGs) and survival analysis based on datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database further confirmed the correlation between cellular distribution and clinical prognosis. …”
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ATP1B3 may promote glioma proliferation and migration through MAPK/NF-KB signaling pathway by Qikang Yan, Quan Sun, Yan Feng, Qingyun Hu, Jinling Zhu

“…ObjectiveTo investigate the function of ATPase Na+/K+ Transporting Subunit Beta 3 (ATP1B3) in gliomas and the molecular mechanisms associated with them in order to identify a novel target and approach for glioma clinical diagnosis and treatment.MethodsThe Cancer Genome Atlas (TCGA), a public tumor database, and the Chinese Glioma Genome Atlas (CGGA) were used to evaluate the differential expression of ATP1B3 in glioma cells of various grades. …”
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Mechanism study of KCMF1 promoting proliferation and NF-κB signaling transduction in colorectal cancer cells by WU Zhibai, XU Guiqin, ZHANG Li, YANG Zhaojuan, LIU Yun, JIAO Kun, CHEN Zehong, XU Chen, ZUO You, ZHENG Ningqian, YE Zhiqian, LIU Yongzhong

“…Methods: The The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) databases were used to analyze the expression level of KCMF1 in CRC tissues and adjacent tissues and the association between the KCMF1 expression and the prognosis of CRC patients. …”
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Comprehensive Cellular Senescence Evaluation to Aid Targeted Therapies by Xiaolan Zhou, Xiaofeng Zhu, Weixu Wang, Jing Wang, Haimei Wen, Yuqi Zhao, Jiayu Zhang, Qiushi Xu, Zhaozhao Zhao, Ting Ni

“…We quantified the cellular senescence states of ~10,000 tumor samples from The Cancer Genome Atlas and examined their associations with targeted drug responses. …”
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Investigating POU3F4 in cancer: Expression patterns, prognostic implications, and functional roles in tumor immunity by Weiwei Chen, Yaya Ji, Rui Wang, Ruijie Ji, Yujian Lin, Yuhang Wu, Lehan Liu, Tianle Sha, Wen Li, Lei Zhang, Longfei Yang, Xinhua Zhang, Jianxiang Song

“…Based on data from The Cancer Genome Atlas (TCGA), Cancer Cell Line Encyclopedia (CCLE), Genotype-Tissue Expression (GTE), and Gene Set Cancer Analysis (GSCA), we employed various bioinformatics approaches to investigate the potential carcinogenic effects of POU3F4. …”
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An anoikis-related signature predicts prognosis and immunotherapy response in gastrointestinal cancers by Ruyi Liu, Ruyi Liu, Ruyi Liu, Ruyi Liu, Ruyi Liu, Yuchen Liu, Yuchen Liu, Yuchen Liu, Yuchen Liu, Yuchen Liu, Weicheng Huang, Weicheng Huang, Weicheng Huang, Weicheng Huang, Weicheng Huang, Pengxiang Chen, Pengxiang Chen, Pengxiang Chen, Pengxiang Chen, Pengxiang Chen, Yufeng Cheng, Yufeng Cheng, Yufeng Cheng, Yufeng Cheng, Yufeng Cheng

“…We aimed to explore the roles of anoikis-related genes (ARGs) in the GI cancer prognosis.MethodsWe extracted RNA sequencing and clinical data from The Cancer Genome Atlas and Gene Expression Omnibu databases for patients with esophageal cancer, gastric cancer, colon cancer and rectal cancer and identified ARGs from GeneCards and Harmonizome. …”
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An Optimized NGS Workflow Defines Genetically Based Prognostic Categories for Patients with Uveal Melanoma by Michele Massimino, Elena Tirrò, Stefania Stella, Cristina Tomarchio, Sebastiano Di Bella, Silvia Rita Vitale, Chiara Conti, Marialuisa Puglisi, Rosa Maria Di Crescenzo, Silvia Varricchio, Francesco Merolla, Giuseppe Broggi, Federica Martorana, Alice Turdo, Miriam Gaggianesi, Livia Manzella, Andrea Russo, Giorgio Stassi, Rosario Caltabiano, Stefania Staibano, Paolo Vigneri

“…Methods: Following the findings published by “The Cancer Genome Atlas–UM” (TCGA-UM) study, we developed an NGS-based gene panel (called the UMpanel) that classifies mutation sets in four categories: initiating alterations (<i>CYSLTR2</i>, <i>GNA11</i>, <i>GNAQ</i> and <i>PLCB4</i>), prognostic alterations (<i>BAP1</i>, <i>EIF1AX</i>, <i>SF3B1</i> and <i>SRSF2</i>), emergent biomarkers (<i>CDKN2A</i>, <i>CENPE</i>, <i>FOXO1</i>, <i>HIF1A</i>, <i>RPL5</i> and <i>TP53</i>) and chromosomal abnormalities (imbalances in chromosomes 1, 3 and 8). …”
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Exploring the role of methylation-driven gene IFFO1 in pancreatic adenocarcinoma diagnosis, prognosis and cellular functions by XU Ziqi, HU Ruizhi, LI Junjian, WANG Hongxia, SANG Youzhou

“…Methods: mRNA expression data (TCGA-PAAD-mRNA), DNA methylation data (TCGA-PAAD-meth, GSE53051, PACA-AU) of PAAD and adjacent normal tissues, as well as DNA methylation data of healthy individuals’ blood (GSE69270), were obtained from the The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC) and Gene Expression Omnibus (GEO) databases. …”
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Construction of a prognostic model for gastric cancer based on immune infiltration and microenvironment, and exploration of MEF2C gene function by Si-yu Wang, Yu-xin Wang, Lu-shun Guan, Ao Shen, Run-jie Huang, Shu-qiang Yuan, Yu-long Xiao, Li-shuai Wang, Dan Lei, Yin Zhao, Chuan Lin, Chang-ping Wang, Zhi-ping Yuan

“…Methods Transcriptome sequence data of GC was obtained from The Cancer Genome Atlas (TCGA), the Gene Expression Omnibus (GEO) and PRJEB25780 cohort for subsequent immune infiltration analysis, immune microenvironment analysis, consensus clustering analysis and feature selection for definition and classification of gene M and N. …”
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N6-methyladenosine RNA modification regulates the transcription of SLC7A11 through KDM6B and GATA3 to modulate ferroptosis by Haisheng Zhang, Cheng Yi, Jianing Li, Yunqing Lu, Haoran Wang, Lijun Tao, Jiawang Zhou, Yonghuang Tan, Jiexin Li, Zhuojia Chen, Gholamreza Asadikaram, Jie Cao, Jianxin Peng, Wanglin Li, Junming He, Hongsheng Wang

“…The dm6ACRISPR system was utilized for the demethylation of specific transcripts. The Cancer Genome Atlas Program (TCGA) database and immunohistochemistry validated the role of the METTL3/SLC7A11 axis in cancer progression. …”
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Multiomics analysis reveals the involvement of NET1 in tumour immune regulation and malignant progression by Jian Pang, Xiaoyan Huang, Ya Gao, Xinyu Guan, Lejia Xiong, Lun Li, Nana Yin, Mei Dai, Tong Han, Wenjun Yi

“…This study aims to fill this knowledge gap and provide a more comprehensive understanding of the role of NET1 in cancer biology. The Cancer Genome Atlas and Genotype-Tissue Expression databases were utilized to analyse the differential expression of NET1 in normal and cancer tissues. …”
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Disruption of tumor-intrinsic PGAM5 increases anti-PD-1 efficacy through the CCL2 signaling pathway by Yan Li, Hong Wang, Xiaoyang Li, Yuan He, Huiquan Liu, Dong Han, Ting Mei, Yixuan Li, Zilong Xu, Xiaoying Wei, Jianguo Wang, Peijie Zhou, Yuwen Wang, Ziye Li, Junhao Ning, Anlin Wang, Jingjing Cheng, Dong Qian

“…We aim to explore whether the regulation of tumor-intrinsic PGAM5 on mitochondria affects tumor-infiltrating immune cells in the microenvironment and whether tumor-intrinsic PGAM5 can be a therapeutic target to enhance the immunotherapy efficacy of hepatocellular carcinoma (HCC).Methods We analyzed the correlation of PGAM5 expression and immune cells infiltration using Gene Expression Omnibus (GEO) and The Cancer Genome Atlas Liver Hepatocellular Carcinoma (TCGA-LIHC) data sets based on cibersort algorithm and tumor-tissue arrays from two independent cohorts. …”
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Dicoumarol sensitizes hepatocellular carcinoma cells to ferroptosis induced by imidazole ketone erastin by Ziwei Yang, Ziwei Yang, Tixin Han, Ruibin Yang, Ruibin Yang, Yinuo Zhang, Yinuo Zhang, Yifei Qin, Yifei Qin, Yifei Qin, Jialu Hou, Jialu Hou, Fei Huo, Fei Huo, Zhuan Feng, Zhuan Feng, Yaxin Ding, Yaxin Ding, Jiali Yang, Jiali Yang, Gang Zhou, Gang Zhou, Shijie Wang, Shijie Wang, Xiaohang Xie, Xiaohang Xie, Peng Lin, Peng Lin, Zhi-Nan Chen, Zhi-Nan Chen, Jiao Wu, Jiao Wu

“…The intrinsic factors determining sensitivity to IKE-induced ferroptosis remain to be explored to improve its efficacy.MethodsBulk RNA-sequencing data from hepatocellular carcinoma (HCC) and normal liver tissues were collected from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. …”
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Integrative analysis of cuproptosis-related lncRNAs: Unveiling prognostic significance, immune microenvironment, and copper-induced mechanisms in prostate cancer by Haitao Zhong, Yiming Lai, Wenhao Ouyang, Yunfang Yu, Yongxin Wu, Xinxin He, Lexiang Zeng, Xueen Qiu, Peixian Chen, Lingfeng Li, Jie Zhou, Tianlong Luo, Hai Huang

“…Methods: Sequencing data and copy number variant data were obtained from 492 patients with PCa from The Cancer Genome Atlas (TCGA) Program. Prognostic models of PCa based on cuproptosis-related lncRNAs were constructed using a multi-level attention graph neural network (MLA-GNN) deep learning algorithm. …”
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