Showing 281 - 300 results of 313 for search '"cancer genomics"', query time: 0.11s Refine Results
  1. 281

    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

    Published 2025-02-01
    “…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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  2. 282

    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

    Published 2025-01-01
    “…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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    Article
  3. 283

    Promotive effect of cancer-testis antigen CT57 on proliferation, invasion, migration and epithelial-mesenchymal transition of liver cancer cells by LUO Lange, ZHENG Chao, LEI Ming

    Published 2024-11-01
    “…Results·Bioinformatics analysis of multiple tumors and corresponding normal tissues in The Cancer Genome Atlas Program (TCGA) database showed that CT57 was highly expressed in most tumor tissues, including liver cancer, and the expression level of CT57 was significantly correlated with the prognosis of liver cancer patients. …”
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  4. 284

    Macrophage heterogeneity and oncogenic mechanisms in lung adenocarcinoma: insights from scRNA-seq analysis and predictive modeling by Han Zhang, Jiaxing Dai, Qiuqiao Mu, Xiaojiang Zhao, Ziao Lin, Ziao Lin, Kai Wang, Meng Wang, Meng Wang, Daqiang Sun

    Published 2025-01-01
    “…Specifically, we used scRNA-seq data processing, intercellular communication analysis, pseudotime trajectory analysis, and transcription factor regulatory analysis to reveal the complexity of macrophage subpopulations. Data from The Cancer Genome Atlas (TCGA) was used to assess the impact of various macrophage subtypes on LUAD prognosis. …”
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  5. 285

    MTMR6 downregulation contributes to cisplatin resistance in oral squamous cell carcinoma by Kah Young Lee, Su Young Oh, Heon-Jin Lee, Tae-Geon Kwon, Jin-Wook Kim, Chang-Geol Shin, Su-Hyung Hong, So-Young Choi

    Published 2025-01-01
    “…A survival analysis based on The Cancer Genome Atlas (TCGA) head and neck squamous cell carcinoma (HNSCC) dataset was performed to evaluate the correlation between MTMR6 expression and patient outcomes following cisplatin treatment. …”
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  6. 286

    Integrating single-cell RNA-Seq and bulk RNA-Seq data to explore the key role of fatty acid metabolism in hepatocellular carcinoma by Hua Dai, Xin Tao, Yuansen Shu, Fanrong Liu, Xiaoping Cheng, Xiushen Li, Bairui Shu, Hongcheng Luo, XuXiang Chen, Zhaorui Cheng

    Published 2025-01-01
    “…Data procurement encompassed transcriptomic and clinical datasets from HCC patients, sourced from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) repositories. …”
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  7. 287

    miR-9-5p/HMMR regulates the tumorigenesis and progression of clear cell renal cell carcinoma through EMT and JAK1/STAT1 signaling pathway by Xinyang Niu, Dingheng Lu, Weitao Zhan, Jiazhu Sun, Yuxiao Li, Yuchen Shi, Kai Yu, Suyuelin Huang, Xueyou Ma, Xiaoyan Liu, Ben Liu

    Published 2025-01-01
    “…Methods We used The Cancer Genome Atlas (TCGA) database to preliminarily investigate HMMR expression and function in ccRCC and the data for 19 samples from the NCBI GEO database (GSE207493) for single-cell analysis. …”
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  8. 288

    Characterizing immune biomarkers and effector CD8+ T-cell exhaustion in pancreatic adenocarcinoma via single-cell RNA sequencing profiling by Rawaa AlChalabi, Raghda Makia, Semaa A. Shaban, Ahmed AbdulJabbar Suleiman

    Published 2025-01-01
    “…We analyzed mutations in the shortlisted biomarkers from The Cancer Genome Atlas (TCGA) and performed in silico mutational analysis using Maestro to evaluate the impact of an IL7R mutation (K110N) on protein function. …”
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  9. 289

    NALCN expression is down-regulated and associated with immune infiltration in gastric cancer by Xuewei Li, Xuewei Li, Na Wu, Chen Wang, Beibei Pei, Xiaoyan Ma, Jun Xie, Jun Xie, Wenhui Yang

    Published 2025-02-01
    “…Data obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases were utilized to investigate the correlation between NALCN expression and immune cell infiltration in GC. …”
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  10. 290

    Multiomic characterization, immunological and prognostic potential of SMAD3 in pan-cancer and validation in LIHC by Tao Zhou, Dan Dan Zhang, Jiejing jin, Jinyang Xie, Jianhua Yu, Chao Zhu, Rong Wan

    Published 2025-01-01
    “…We extensively harnessed data from authoritative sources, including The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx), cBioPortal, Human Protein Atlas (HPA), UALCAN, and various other databases. …”
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    Article
  11. 291

    Analysis of mRNA Pentatricopeptide Repeat Domain 1 as a prospective oncogene in clear cell renal cell carcinoma that accelerates tumor cells proliferation and invasion via the Akt/... by Zhongbao Zhou, Yulong Li, Yumeng Chai, Yong Zhang, Pu Yan

    Published 2025-01-01
    “…Abstract Background Although pentatricopeptide repeat domain 1 (PTCD1) has been found to modulate mitochondrial metabolic and oxidative phosphorylation, its contribution in the growth of clear cell renal cell carcinoma (ccRCC) remains unknown. Methods The Cancer Genome Atlas (TCGA) dataset was utilized to examine the transcriptional alterations, patient characteristics, clinical outcomes, as well as pathway activation of PTCD1. …”
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  12. 292

    High-throughput methylation sequencing reveals novel biomarkers for the early detection of renal cell carcinoma by Wenhao Guo, Weiwu Chen, Jie Zhang, Mingzhe Li, Hongyuan Huang, Qian Wang, Xiaoyi Fei, Jian Huang, Tongning Zheng, Haobo Fan, Yunfei Wang, Hongcang Gu, Guoqing Ding, Yicheng Chen

    Published 2025-01-01
    “…Using a training set from The Cancer Genome Atlas (TCGA) dataset of 443 early-stage RCC tumors and matched normal tissues, we applied LASSO regression and identified 23 methylation signatures. …”
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    Article
  13. 293

    EHMT2‐mediated R‐loop formation promotes the malignant progression of prostate cancer via activating Aurora B by Yuyang Zhang, Mingqin Su, Yiming Chen, Li Cui, Wei Xia, Renfang Xu, Dong Xue, Xiansheng Zhang, Xingliang Feng

    Published 2025-01-01
    “…Methods Bioinformatic analyses were conducted to identify genes overexpressed in PCa tissues using The Cancer Genome Atlas (TCGA) and GEO datasets. Western blotting and immunohistochemistry assays were applied to determine the expression levels of euchromatic histone lysine methyltransferase 2 (EHMT2), pT232‐Aurora B and Cullin 3 (CUL3). …”
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  14. 294

    Pan-cancer analysis of the transcriptional expression of histone acetylation enzymes in solid tumors defines a new classification scheme for gliomas by Junhao Zhang, Lingbo Li, Aiwei Tang, Chucheng Wang, Yupeng Wang, Yongqi Hu, Guangting He, Guangting He, Wangjun Liao, Wangjun Liao, Wangjun Liao, Rui Zhou

    Published 2025-01-01
    “…However, systematic characterization of the transcriptomic landscape and clinical relevance of HATs and HDACs in pan-cancer contexts remains lacking.MethodsTranscriptome and clinical data of 9,483 patients across 31 tumor types from The Cancer Genome Atlas were collected for systematic pan-cancer analysis. …”
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  15. 295

    Differential impact of TIM-3 ligands on NK cell function by Xin Zhang, Lazar Vujanovic, Riyue Bao, Robert L Ferris, Tullia C Bruno, Aditi Kulkarni, Hridesh Banerjee, Housaiyin Li, Juncheng Wang, Lawrence P Kane, Pragati Upadhyay, Jennifer L Anderson, Onyedikachi Victor Onyekachi, Lidia M R B Arantes

    Published 2025-01-01
    “…In vitro killing, proliferation and cytokine production assays were implemented to evaluate whether the four TIM-3 ligands differentially modulate TIM-3+ NK cell functions, and whether disruption of TIM-3/ligand interaction can enhance NK cell-mediated antitumor effector mechanisms. Finally, The Cancer Genome Atlas survival analysis and digital spatial profiling were employed to study the potential impact of etiology-associated differences on patients with HNSCC outcomes.Results We demonstrate that TIM-3 is highly prevalent on circulating and tumor-infiltrating NK cells. …”
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  16. 296
  17. 297

    “Subtype-precise” therapy leads diagnostic and therapeutic innovations: a new pattern for precision treatment of breast cancer by ZHANG Siwei, MA Ding, JIANG Yizhou, SHAO Zhimin

    Published 2024-11-01
    “…Over the past decade, the multidisciplinary team at Fudan University Shanghai Cancer Center has established a comprehensive molecular portrait of Chinese Breast Cancer Genome Atlas (CBCGA). They deeply analyzed the molecular characteristics of TNBC, leading to the development of a “Fudan subtype” closely related to clinical outcomes: luminal androgen receptor subtype (LAR), which can be targeted with anti-HER2 and CDK4/6 inhibitors; the immunomodulatory subtype (IM), suitable for immunotherapy; basal-like immune-suppressed subtype (BLIS), which can be treated with platinum-based drugs or poly (ADP-ribose) polymerase (PARP) inhibitors; and mesenchymal-like subtype (MES), which can be treated with anti-cancer stem cell and anti-angiogenic therapies. …”
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  18. 298

    Novel pyroptosis-immune-related lncRNA signature exhibits a distinct immune cell infiltration landscape in breast cancer by Dedi Kong, Dedi Kong, Hongju Cheng, Meihong Wang

    Published 2025-01-01
    “…IntroductionThis study investigated pyroptosis- and immunity-related long non-coding RNAs (lncRNAs) to identify promising therapeutic targets for breast cancer (BC), and constructed lncRNA signatures to determine the prognosis and immunotherapy responses of BC patients.MethodsPearson’s correlation coefficient was used to identify pyroptosis- and immune-related differentially expressed lncRNAs (DE-pyrolncRNAs and DE-ImmlncRNAs, respectively). The Cancer Genome Atlas dataset was allocated to training and testing subsets. …”
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  19. 299

    Cuproptosis-Related Signature Predicts the Prognosis, Tumor Microenvironment, and Drug Sensitivity of Hepatocellular Carcinoma by Xiangjun Qi, Jiayun Guo, Guoming Chen, Caishan Fang, Leihao Hu, Jing Li, Chi Zhang

    Published 2022-01-01
    “…The mRNA transcriptome profiling data, somatic mutation data, and copy number gene level data of The Cancer Genome Atlas-Liver Hepatocellular Carcinoma project (TCGA-LIHC) were downloaded for subsequent analysis. …”
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  20. 300

    Targeting HVEM-GPT2 axis: a novel approach to T cell activation and metabolic reprogramming in non-small cell lung cancer therapy by Yuanshan Yao, Chunji Chen, Bin Li, Wen Gao

    Published 2025-02-01
    “…Methods The lung cancer datasets for this study were directly downloaded from The Cancer Genome Atlas (TCGA). Single-cell data were sourced from the Tumor Immune Single-cell Hub (TISCH). …”
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