Cargando…

Correction: Identifying the novel key genes in renal cell carcinoma by bioinformatics analysis and cell experiments

Detalles Bibliográficos
Autores principales:	Chen, Yeda, Gu, Di, Wen, Yaoan, Yang, Shuxin, Duan, Xiaolu, Lai, Yongchang, Yang, Jianan, Yuan, Daozhang, Khan, Aisha, Wu, Wenqi, Zeng, Guohua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Correction
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9541067/ https://www.ncbi.nlm.nih.gov/pubmed/36203143 http://dx.doi.org/10.1186/s12935-022-02707-7

Ejemplares similares

Identifying the novel key genes in renal cell carcinoma by bioinformatics analysis and cell experiments
por: Chen, Yeda, et al.
Publicado: (2020)

Percutaneous nephrolithotomy versus flexible ureteroscopic lithotripsy in the treatment of upper urinary tract stones: a meta-analysis comparing clinical efficacy and safety
por: Chen, Yeda, et al.
Publicado: (2020)

Crosstalk between VEGFR and other receptor tyrosine kinases for TKI therapy of metastatic renal cell carcinoma
por: Lai, Yongchang, et al.
Publicado: (2018)

Impact of dyslipidemia on 24-h urine composition in adults without urolithiasis
por: Cai, Chao, et al.
Publicado: (2018)

Association between vasectomy and risk of testicular cancer: A systematic review and meta-analysis
por: Duan, Haifeng, et al.
Publicado: (2018)

STAM Prolongs Clear Cell Renal Cell Carcinoma Patients' Survival via Inhibiting Cell Growth and Invasion
por: Deng, Tuo, et al.
Publicado: (2021)

Corrigendum: STAM Prolongs Clear Cell Renal Cell Carcinoma Patients’ Survival via Inhibiting Cell Growth and Invasion
por: Deng, Tuo, et al.
Publicado: (2021)

Identifying the key genes and microRNAs in prostate cancer bone metastasis by bioinformatics analysis
por: Zhu, Zhiguo, et al.
Publicado: (2020)

The value of cytoreductive nephrectomy on the survival of metastatic renal carcinoma patients based on the number of site-specific metastases
por: Zhao, Zhijian, et al.
Publicado: (2019)

Cell death-related molecules and biomarkers for renal cell carcinoma targeted therapy
por: Lai, Yongchang, et al.
Publicado: (2019)

Identification of potential biomarkers and pivotal biological pathways for prostate cancer using bioinformatics analysis methods
por: He, Zihao, et al.
Publicado: (2019)

Profiles of overall survival-related gene expression-based risk signature and their prognostic implications in clear cell renal cell carcinoma
por: He, Zihao, et al.
Publicado: (2020)

Functional Assessment of Four Novel Immune-Related Biomarkers in the Pathogenesis of Clear Cell Renal Cell Carcinoma
por: Lv, Daojun, et al.
Publicado: (2021)

Partial versus radical nephrectomy for T1b-2N0M0 renal tumors: A propensity score matching study based on the SEER database
por: Zhang, Mengping, et al.
Publicado: (2018)

Bioinformatic identification of key genes and analysis of prognostic values in clear cell renal cell carcinoma
por: Luo, Ting, et al.
Publicado: (2018)

Inhibition of LIM kinase reduces contraction and proliferation in bladder smooth muscle
por: Yu, Qingfeng, et al.
Publicado: (2021)

m(6)A modification patterns and tumor immune landscape in clear cell renal carcinoma
por: Zhong, Jiehui, et al.
Publicado: (2021)

Tanshinone I and simvastatin inhibit melanoma tumour cell growth by regulating poly (ADP ribose) polymerase 1 expression
por: Zhang, Yuyan, et al.
Publicado: (2021)

The Identification of Key Genes and Biological Pathways in Heart Failure by Integrated Bioinformatics Analysis
por: Yang, Qianhong, et al.
Publicado: (2021)

Identifying key genes related to the peritubular capillary rarefaction in renal interstitial fibrosis by bioinformatics
por: Zhang, Yu, et al.
Publicado: (2023)

Identification of key genes in osteoarthritis using bioinformatics, principal component analysis and meta-analysis
por: Sun, Xiangxiang, et al.
Publicado: (2021)

Screening and identification of key biomarkers of papillary renal cell carcinoma by bioinformatic analysis
por: Xu, Yingying, et al.
Publicado: (2021)

Bioinformatics Analysis of Potential Key Genes in Trastuzumab-Resistant Gastric Cancer
por: Yang, Guangda, et al.
Publicado: (2019)

Bioinformatic analysis identifies potentially key differentially expressed genes in oncogenesis and progression of clear cell renal cell carcinoma
por: Zhang, Haiping, et al.
Publicado: (2019)

Bioinformatics and functional analyses of key genes and pathways in human clear cell renal cell carcinoma
por: Wang, Jinxing, et al.
Publicado: (2018)

Autophagy inhibition attenuates hyperoxaluria-induced renal tubular oxidative injury and calcium oxalate crystal depositions in the rat kidney
por: Duan, Xiaolu, et al.
Publicado: (2018)

Corrigendum to “Bioinformatics Analysis of Potential Key Genes in Trastuzumab-Resistant Gastric Cancer”
por: Yang, Guangda, et al.
Publicado: (2020)

Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis
por: Man, Jun, et al.
Publicado: (2019)

Identification of Key Genes and Prognostic Analysis between Chromophobe Renal Cell Carcinoma and Renal Oncocytoma by Bioinformatic Analysis
por: Wu, Hongwei, et al.
Publicado: (2020)

Escherichia coli Aggravates Calcium Oxalate Stone Formation via PPK1/Flagellin-Mediated Renal Oxidative Injury and Inflammation
por: An, Lingyue, et al.
Publicado: (2021)

Integrative Analysis of miRNA and mRNA Expression Profiles in Calcium Oxalate Nephrolithiasis Rat Model
por: Lan, Chuangxin, et al.
Publicado: (2017)

Key genes of renal tubular necrosis: a bioinformatics analysis
por: Lin, Peng, et al.
Publicado: (2020)

Integrated bioinformatics analysis to identify key genes related to the prognosis of esophageal squamous cell carcinoma
por: Yang, Ying, et al.
Publicado: (2021)

Extracellular vesicle-circEHD2 promotes the progression of renal cell carcinoma by activating cancer-associated fibroblasts
por: He, Tao, et al.
Publicado: (2023)

Bioinformatics and integrated analyses of prognosis-associated key genes in lung adenocarcinoma
por: Zhu, Huijun, et al.
Publicado: (2021)

Identification of key genes and pathways at the downstream of S100PBP in pancreatic cancer cells by integrated bioinformatical analysis
por: Lu, Yu-Jie, et al.
Publicado: (2021)

Integrated bioinformatics analysis for the identification of potential key genes affecting the pathogenesis of clear cell renal cell carcinoma
por: Cui, Hao, et al.
Publicado: (2020)

Connexin43 is associated with the progression of clear cell renal carcinoma and is regulated by tangeretin to sygergize with tyrosine kinase inhibitors
por: Lai, Yongchang, et al.
Publicado: (2023)

Identification of CFTR as a novel key gene in chromophobe renal cell carcinoma through bioinformatics analysis
por: Wang, Sheng, et al.
Publicado: (2019)

Bioinformatics Study Identified EGF as a Crucial Gene in Papillary Renal Cell Cancer
por: Qu, GenYi, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_j40bsa7edulhdvabet59eltc7p