Development of a Ten-lncRNA Signature Prognostic Model for Breast Cancer Survival: A Study with the TCGA Database by Wenqing Zhou, Yongkui Pang, Yunmin Yao, Huiying Qiao

“…We downloaded RNA-seq data and relevant clinical information from the Cancer Genome Atlas (TCGA) database. Differentially expressed lncRNA were computed using the “edgeR” package and subjected to the univariate and multivariate Cox regression analysis. …”
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Driving effect of P16 methylation on telomerase reverse transcriptase-mediated immortalization and transformation of normal human fibroblasts by Xuehong Zhang, Paiyun Li, Ying Gan, Shengyan Xiang, Liankun Gu, Jing Zhou, Xiaorui Zhou, Peihuang Wu, Baozhen Zhang, Dajun Deng, Jing Ni

“…P16 inactivation is frequently accompanied by telomerase reverse transcriptase (TERT) amplification in human cancer genomes. P16 inactivation by DNA methylation often occurs automatically during immortalization of normal cells by TERT. …”
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TUBA1B as a novel prognostic biomarker correlated with immunosuppressive tumor microenvironment and immunotherapy response by Juntao Qi, Juntao Qi, Mingming Zhou, Na Yang, Huiyun Ma, Min He, Gujie Wu, Chang Ge, Liuyin Jin, Lin Cheng, Wei Liao, Hefei Ren, Caiyun Lei

“…Despite its fundamental roles, TUBA1B’s impact on tumor prognosis and the tumor immune microenvironment across cancer types remains inadequately understood.Methods To elucidate TUBA1B’s role in cancer prognosis and immune response, we conducted a comprehensive analysis, integrating data from established databases such as The Cancer Genome Atlas, Genotype Tissue Expression, Cancer Cell Lineage Encyclopedia, Human Protein Atlas, Kaplan-Meier Plotter, cBioPortal, TIMER, and ImmuCellAI, along with a large-scale clinical study and immunotherapy cohort. …”
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Elevated POSTN expression predicts poor prognosis and is associated with radioresistance in cervical cancer patients treated with radical radiotherapy by Cui-qin Huang, Wen-tao Xiao, Xiang-rong Yao, Zhi-min Li, Jun-yan He

“…We analyzed data from 92 CC patients in The Cancer Genome Atlas (TCGA) and 153 patients from our institution, assessing POSTN expression levels through mRNA analysis and immunohistochemistry (IHC). …”
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Development and experimental validation of dephosphorylation-related biomarkers to assess prognosis and immunotherapeutic response in gliomas by Hui Tang, Xuping Yang, Xuping Yang, Guoqian Li, Ke Peng, Yang Sun, Longyang Jiang, Longyang Jiang, Yilan Huang, Yilan Huang

“…This study aims to construct a validated prognostic risk model for dephosphorylation, which will provide new directions for clinical treatment, prognostic assessment, and temozolomide (TMZ) resistance in glioma patients.MethodsScreening dephosphorylation-related genes (DRGs) and transcriptome expression data from The Cancer Genome Atlas (TCGA), Molecular signatures database (MSigDB) and constructing risk scoring models. …”
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A prognostic signature of Glutathione metabolism-associated long non-coding RNAs for lung adenocarcinoma with immune microenvironment insights by Junxi Hu, Junxi Hu, Shuyu Tian, Shuyu Tian, Qingwen Liu, Qingwen Liu, Jiaqi Hou, Jiaqi Hou, Jun wu, Jun wu, Xiaolin Wang, Xiaolin Wang, Yusheng Shu, Yusheng Shu

“…This study developed a prognostic model using GSH-related lncRNAs to predict LUAD outcomes and assess tumor immunity.MethodsThis study analyzed survival data from The Cancer Genome Atlas (TCGA) and identified GSH metabolism-related lncRNAs using Pearson correlation. …”
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Prognostic values of intracellular cell-related genes in esophageal cancer and their regulatory mechanisms by Wei Cao, Dacheng Jin, Weirun Min, Haochi Li, Rong Wang, Jinlong Zhang, Yunjiu Gou

“…Hence, investigating the prognostic significance and regulatory mechanisms of genes related to these intracellular structures in esophageal cancer is imperative. The Cancer Genome Atlas (TCGA) Esophageal Cancer (ESCA) dataset served as the training set for the analysis. …”
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Comprehensive analysis reveals cholesterol metabolism-related signature for predicting prognosis and guiding individualized treatment of glioma by Dengfeng Lu, Fei Wang, Yayi Yang, Aojie Duan, Yubo Ren, Yun Feng, Haiying Teng, Zhouqing Chen, Xiaoou Sun, Zhong Wang

“…Methods: Transcriptional data and clinicopathological data were obtained from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases. …”
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Prognostic models of immune-related cell death and stress unveil mechanisms driving macrophage phenotypic evolution in colorectal cancer by Hao Liu, Chuhan Zhang, Sanfei Peng, Yuhan Yin, Yishi Xu, Sihan Wu, Liping Wang, Yang Fu

“…Furthermore, we performed enrichment analyses and deconvolution algorithms to elucidate the complex interactions between immune cell infiltration and the processes of PCD and stress within a substantial array of transcriptomic data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus data base (GEO) related to CRC. …”
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SUGT1 is a prognostic biomarker and is associated with immune infiltrates in ovarian cancer by Linyan Ge, Xiu Liu, Lingyan Zhang, Jiaren Zhang, Guanghui Song

“…Methods We conducted a comprehensive bioinformatics analysis of SUGT1 expression in patients with OC compared with their normal controls, including the data from the cancer genome atlas (TCGA), genotype–tissue expression (GTEx) databases, gene ontology (GO) analysis, Kyoto Encylopedia of Genes and Genomes (KEGG) analysis, gene set enrichment analysis (GSEA), single sample gene set enrichment analysis (ssGSEA). …”
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Identification of critical biomarkers and immune landscape patterns in glioma based on multi-database by Hanzhang Yuan, Jingsheng Cheng, Jun Xia, Zeng Yang, Lixin Xu

“…Patients and methods Differentially expressed genes (DEGs) of glioma were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. …”
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Oncolytic peptide LTX-315 induces anti-pancreatic cancer immunity by targeting the ATP11B-PD-L1 axis by Meng Wang, Xing Huang, Tingbo Liang, Tianyu Tang, Gang Zhang, Minghao Lu, Zhengtao Hong, Junming Huang, Xiao Zhi

“…Both in-house tissue microarray and open accessed The Cancer Genome Atlas data sets were used to evaluate the clinical relevance in pancreatic cancer prognosis.Results LTX-315 treatment inhibited PD-L1 expression and enhanced lymphocyte infiltration in pancreatic tumors. …”
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Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning by Jianhui Chen, Qun Li, Xiaofang Liu, Fang Lin, Yaling Jing, Jiayan Yang, Lianfang Zhao

“…Moreover, immune cell infiltration was estimated using CIBERSORTx, and the Cancer Genome Atlas (TCGA) database was employed to elucidate the role of key genes in endometrial carcinoma (EC).Results26 common differentially expressed genes (DEGs) were screened in both diseases, three of which were identified as common core genes (MAN2A1, PAPSS1, RIBC2) through the combination of WGCNA, PPI network, and machine learning-based feature selection. …”
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Expression of CSTF2 in oral squamous cell carcinoma and its relationship with immune infiltration and poor prognosis by Zumulaiti Aierken, Muertiza Muhetaer, Zhang Lei, Ainiwaerjiang Abudourousuli, Ainiwaerjiang Abudourousuli

“…However, its specific association with patient prognosis and immune cell infiltration in OSCC remains insufficiently understood.MethodsTo assess the expression levels and prognostic implications of CSTF2 in OSCC, comprehensive data were acquired from The Cancer Genome Atlas (TCGA) and subsequently normalized. …”
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Predicting Outcomes in Esophageal Squamous Cell Carcinoma Using scRNA‐Seq and Bulk RNA‐Seq: A Model Development and Validation Study by Jiaqi Zhang, Shunzhe Song, Yuqing Li, Aixia Gong

“…Methods A total of 8, 99, and 140 individuals from The Gene Expression Omnibus database, The Cancer Genome Atlas database, and the Memorial Sloan Kettering Cancer Center, respectively, were encompassed in the investigation. …”
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Spatial transcriptomics reveals unique metabolic profile and key oncogenic regulators of cervical squamous cell carcinoma by Limin Zhou, Jiejie Liu, Peipei Yao, Xing Liu, Fei Chen, Yu Chen, Li Zhou, Chao Shen, You Zhou, Xin Du, Junbo Hu

“…We also employed The Cancer Genome Atlas (TCGA) database to examine the analysis results of ST data. …”
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Comprehensive analysis of the expression and prognostic value of ARMCs in pancreatic adenocarcinoma by Guanxiang Zhuo, Shengzhai Lin, Fei Yuan, Qiaoling Zheng, Yinpin Guo, Zuwei Wang, Jianfei Hu, Meihong Yao, Fuxiu Zhong, Shi Chen, Yanling Chen, Huixing Chen

“…Methods We used the The Cancer Genome Atlas (TCGA) database for survival analysis. …”
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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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Autophagy activation in response to cigarette smoke: Exploring the disparity in laryngeal cancer incidence and outcomes between sexes in South Korea by Min Ji Kim, Jisu Hong, Hyo Won Chang, Yun-Hee Lee, Jun-Pyo Myong, Ah Ra Jung, Yoon Se Lee, Minsu Kwon

“…In addition, to explore the relationship between the level of autophagy-related gene expression and clinical features, female LC patients were compared with male patients through an analysis of data from The Cancer Genome Atlas (TCGA). Results: In the NHIS data analyses, male LC patients had an 11 times higher incidence than female patients, even after adjusting for smoking and age. …”
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A disintegrin and metallopeptidase domain (ADAM) 12, ADAM 17 mRNA and ADAM10 protein hold potential as biomarkers for detection of early gastric cancer by Sooyeon Oh, Sang-Soo Lee, Hoeyoung Jin, Seo-Hyeon Choi, Choong-Keun Cha, Jooho Lee, KyuBum Kwack, Sang Gyun Kim, Sang-Woon Choi

“…As a proof-of-concept pilot study, the expression of ADAM8, ADAM9, ADAM10, ADAM12, ADAM17, and major histocompatibility complex (MHC) class I chain-related sequence A (MICA), a ligand for NKG2D, in gastric cancer was investigated in silico using The Cancer Genome Atlas (TCGA) database. Subsequently, the mRNA and protein expression levels of these markers except ADAM8 were tested in blood samples from patients with EGC and healthy controls. …”
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