Cargando…

The integration of single-cell sequencing, TCGA, and GEO data analysis revealed that PRRT3-AS1 is a biomarker and therapeutic target of SKCM

INTRODUCTION: Skin cutaneous melanoma (SKCM) is the world’s fourth deadliest cancer, and advanced SKCM leads to a poor prognosis. Novel biomarkers for SKCM diagnosis and prognosis are urgently needed. Long non-coding RNAs (lncRNAs) provide various biological functions and have been proved to play a...

Descripción completa

Detalles Bibliográficos
Autores principales:	Zhang, Wancong, Xie, Xuqi, Huang, Zijian, Zhong, Xiaoping, Liu, Yang, Cheong, Kit-Leong, Zhou, Jianda, Tang, Shijie
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2022
Materias:	Immunology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539251/ https://www.ncbi.nlm.nih.gov/pubmed/36211371 http://dx.doi.org/10.3389/fimmu.2022.919145

Ejemplares similares

Cancer systems biology of TCGA SKCM: Efficient detection of genomic drivers in melanoma
por: Guan, Jian, et al.
Publicado: (2015)

Construction of Prognostic Risk Model of Patients with Skin Cutaneous Melanoma Based on TCGA-SKCM Methylation Cohort
por: Yu, Xiaoming, et al.
Publicado: (2022)

The role of SRGN in the survival and immune infiltrates of skin cutaneous melanoma (SKCM) and SKCM-metastasis patients
por: Wang, Xiaofang, et al.
Publicado: (2020)

NCKAP1 is a Prognostic Biomarker for Inhibition of Cell Growth in Clear Cell Renal Cell Carcinoma
por: Chen, Jiasheng, et al.
Publicado: (2022)

Identification of potential diagnostic and prognostic biomarkers for LUAD based on TCGA and GEO databases
por: Zheng, Qiangqiang, et al.
Publicado: (2021)

Bulk and single-cell RNA-sequencing analyses along with abundant machine learning methods identify a novel monocyte signature in SKCM
por: Liu, Yuyao, et al.
Publicado: (2023)

LINC00467, Driven by Copy Number Amplification and DNA Demethylation, Is Associated with Oxidative Lipid Metabolism and Immune Infiltration in Breast Cancer
por: Bo, Hao, et al.
Publicado: (2021)

Identification of Potential Diagnostic and Prognostic Biomarkers for Colorectal Cancer Based on GEO and TCGA Databases
por: Wang, Zhenjiang, et al.
Publicado: (2021)

Exploring novel independent prognostic biomarkers for hepatocellular carcinoma based on TCGA and GEO databases
por: Hou, Miaomiao
Publicado: (2022)

The molecular mechanisms of CTHRC1 in gastric cancer by integrating TCGA, GEO and GSA datasets
por: Zhao, Lulu, et al.
Publicado: (2022)

PMEL as a Prognostic Biomarker and Negatively Associated With Immune Infiltration in Skin Cutaneous Melanoma (SKCM)
por: Zhang, Shuguang, et al.
Publicado: (2021)

TIMM13 as a prognostic biomarker and associated with immune infiltration in skin cutaneous melanoma (SKCM)
por: Zhou, Sitong, et al.
Publicado: (2022)

Screening and Identification of Key Biomarkers for Bladder Cancer: A Study Based on TCGA and GEO Data
por: Xu, Yingkun, et al.
Publicado: (2020)

Evaluation of FGFR1 as a diagnostic biomarker for ovarian cancer using TCGA and GEO datasets
por: Xiao, Huiting, et al.
Publicado: (2021)

Integrated TCGA and GEO analysis showed that SMAD7 is an independent prognostic factor for lung adenocarcinoma
por: Dai, Zhou-Tong, et al.
Publicado: (2020)

Identification of biomarkers associated with diagnosis and prognosis of gastroesophageal junction adenocarcinoma–a study based on integrated bioinformatics analysis in GEO and TCGA database
por: Song, Danlei, et al.
Publicado: (2020)

The role of NLRP3 in the prognosis and immune infiltrates of skin cutaneous melanoma (SKCM)
por: Wu, Shaobo, et al.
Publicado: (2021)

CBX3/HP1γ promotes tumor proliferation and predicts poor survival in hepatocellular carcinoma
por: Zhong, Xiaoping, et al.
Publicado: (2019)

Utility of GDF‐15 as a diagnostic biomarker in gastric cancer: an investigation combining GEO, TCGA and meta‐analysis
por: Liu, Jie‐yu, et al.
Publicado: (2018)

Analysis of genes associated with prognosis of lung adenocarcinoma based on GEO and TCGA databases
por: Yu, Ye, et al.
Publicado: (2020)

Transcriptomic and functional network features of lung squamous cell carcinoma through integrative analysis of GEO and TCGA data
por: Li, Yin, et al.
Publicado: (2018)

Integrated analysis of lymphocyte infiltration-associated lncRNA for ovarian cancer via TCGA, GTEx and GEO datasets
por: Wu, Meijing, et al.
Publicado: (2020)

Prognostic Significance of ANGPTL4 in Lung Adenocarcinoma: A Meta-Analysis Based on Integrated TCGA and GEO Databases
por: Yang, Yang, et al.
Publicado: (2022)

Characterization of polysaccharides from different species of brown seaweed using saccharide mapping and chromatographic analysis
por: Chen, Shengqin, et al.
Publicado: (2021)

Identification of MATN3 as a Novel Prognostic Biomarker for Gastric Cancer through Comprehensive TCGA and GEO Data Mining
por: Wang, Pan, et al.
Publicado: (2021)

Identification of prognosis-related genes in the tumor microenvironment of stomach adenocarcinoma by TCGA and GEO datasets
por: Ren, Na, et al.
Publicado: (2020)

Prognostic significance of JAM 3 in gastric cancer: An observational study from TCGA and GEO
por: Zhao, Qinfu, et al.
Publicado: (2023)

Retracted: Prognostic Significance of ANGPTL4 in Lung Adenocarcinoma: A Meta-Analysis Based on Integrated TCGA and GEO Databases
por: and Alternative Medicine, Evidence-Based Complementary
Publicado: (2023)

Gracilaria lemaneiformis polysaccharides alleviate colitis by modulating the gut microbiota and intestinal barrier in mice
por: Lu, Si-Yuan, et al.
Publicado: (2021)

MicroRNA‐17 as a promising diagnostic biomarker of gastric cancer: An investigation combining TCGA, GEO, meta‐analysis, and bioinformatics
por: Hu, GaoFeng, et al.
Publicado: (2018)

Identification of the potential therapeutic target gene UBE2C in human hepatocellular carcinoma: An investigation based on GEO and TCGA databases
por: Wei, Zilun, et al.
Publicado: (2019)

Integrative Bioinformatics and Functional Analyses of GEO, ENCODE, and TCGA Reveal FADD as a Direct Target of the Tumor Suppressor BRCA1
por: Nguyen, Dinh-Duc, et al.
Publicado: (2018)

Identifying hub genes of papillary thyroid carcinoma in the TCGA and GEO database using bioinformatics analysis
por: Wan, Ying, et al.
Publicado: (2020)

Identification of Potential Key Genes and Pathways for Inflammatory Breast Cancer Based on GEO and TCGA Databases
por: Lv, Qing, et al.
Publicado: (2020)

Prognostic significance of MALAT1 in clear cell renal cell carcinoma based on TCGA and GEO
por: Liu, Kai, et al.
Publicado: (2023)

Identification of the miRNA-mRNA regulatory network associated with radiosensitivity in esophageal cancer based on integrative analysis of the TCGA and GEO data
por: Chen, Hongmin, et al.
Publicado: (2022)

Combination Therapies with PRRT
por: Yordanova, Anna, et al.
Publicado: (2021)

A novel microRNA signature for pathological grading in lung adenocarcinoma based on TCGA and GEO data
por: Yang, Zhiyu, et al.
Publicado: (2020)

Identification of glycolysis related pathways in pancreatic adenocarcinoma and liver hepatocellular carcinoma based on TCGA and GEO datasets
por: Li, Ji, et al.
Publicado: (2021)

The Immune Infiltration in HNSCC and Its Clinical Value: A Comprehensive Study Based on the TCGA and GEO Databases
por: Sun, Xizhe, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_aibomuo3h03vat83hl1b0tjeik