Cargando…

Bioinformatics analysis of prognostic value of PITX1 gene in breast cancer

Background: Paired-like homeodomain transcription factor 1 (PITX1) participates in miscellaneous biological processes including cell growth, development, progression and invasion in various malignant tumors. However, the analysis of the association between PITX1 expression and the survival in breast...

Descripción completa

Detalles Bibliográficos
Autores principales:	Wang, Qiaoyun, Zhao, Shuai, Gan, Lei, Zhuang, Zhixiang
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Portland Press Ltd. 2020
Materias:	Bioinformatics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7494990/ https://www.ncbi.nlm.nih.gov/pubmed/32830857 http://dx.doi.org/10.1042/BSR20202537

Ejemplares similares

Bioinformatics analysis of prognostic significance of COL10A1 in breast cancer
por: Zhang, Mingdi, et al.
Publicado: (2020)

Novel lncRNAs with diagnostic or prognostic value screened out from breast cancer via bioinformatics analyses
por: Wang, Hongxian, et al.
Publicado: (2022)

Integrated bioinformatics analysis of the NEDD4 family reveals a prognostic value of NEDD4L in clear-cell renal cell cancer
por: Zhao, Hui, et al.
Publicado: (2021)

Comprehensive analysis of abnormal expression, prognostic value and oncogenic role of the hub gene FN1 in pancreatic ductal adenocarcinoma via bioinformatic analysis and in vitro experiments
por: Lei, Xiaohua, et al.
Publicado: (2021)

Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation
por: Zhao, Wenjing, et al.
Publicado: (2023)

Bioinformatics identification of CCL8/21 as potential prognostic biomarkers in breast cancer microenvironment
por: Chen, Bowen, et al.
Publicado: (2020)

Machine learning based tissue analysis reveals Brachyury has a diagnosis value in breast cancer
por: Li, Kaichun, et al.
Publicado: (2021)

Prognostic value of immune checkpoint molecules in breast cancer
por: Fang, Jun, et al.
Publicado: (2020)

Identification of prognostic risk factors for pancreatic cancer using bioinformatics analysis
por: Jin, Dandan, et al.
Publicado: (2020)

Identification of a three-gene-based prognostic model in multiple myeloma using bioinformatics analysis
por: Pan, Ying, et al.
Publicado: (2021)

Expression and prognostic potential of PLEK2 in head and neck squamous cell carcinoma based on bioinformatics analysis
por: Wang, Jingyun, et al.
Publicado: (2021)

Bioinformatic analysis and identification of potential prognostic microRNAs and mRNAs in thyroid cancer
por: Tang, Jianing, et al.
Publicado: (2018)

Comprehensive analysis of the prognostic value and immune implications of the TTK gene in lung adenocarcinoma: a meta-analysis and bioinformatics analysis
por: Li, Bo, et al.
Publicado: (2022)

Identification of ribosomal protein family in triple-negative breast cancer by bioinformatics analysis
por: Lin, Ziyue, et al.
Publicado: (2021)

Identifying breast cancer subtypes associated modules and biomarkers by integrated bioinformatics analysis
por: Wang, Yanwei, et al.
Publicado: (2021)

Identification of HMMR as a prognostic biomarker for patients with lung adenocarcinoma via integrated bioinformatics analysis
por: Li, Zhaodong, et al.
Publicado: (2021)

Identification of KIF4A as a pan-cancer diagnostic and prognostic biomarker via bioinformatics analysis and validation in osteosarcoma cell lines
por: Pan, Jiankang, et al.
Publicado: (2021)

Bioinformatical analysis identifies PDLIM3 as a potential biomarker associated with immune infiltration in patients with endometriosis
por: Gan, Lei, et al.
Publicado: (2022)

Prognostic analyses of genes associated with anoikis in breast cancer
por: Cao, Jingyu, et al.
Publicado: (2023)

Bioinformatic analysis of cis-regulatory interactions between progesterone and estrogen receptors in breast cancer
por: Khushi, Matloob, et al.
Publicado: (2014)

Comprehensive analysis of inhibitor of differentiation/DNA-binding gene family in lung cancer using bioinformatics methods
por: Xu, Suming, et al.
Publicado: (2020)

Identification of significant genes signatures and prognostic biomarkers in cervical squamous carcinoma via bioinformatic data
por: He, Yunan, et al.
Publicado: (2020)

Differentially expressed genes and key molecules of BRCA1/2-mutant breast cancer: evidence from bioinformatics analyses
por: Li, Yue, et al.
Publicado: (2020)

Identification of key genes in non-small cell lung cancer by bioinformatics analysis
por: Zhang, Li, et al.
Publicado: (2019)

Analysis of the prognostic significance of solute carrier (SLC) family 39 genes in breast cancer
por: Liu, Limei, et al.
Publicado: (2020)

Expression profiles and prognostic significance of WNT family members in glioma via bioinformatic analysis
por: Xu, Anqi, et al.
Publicado: (2020)

Identification of hub genes and biological pathways in hepatocellular carcinoma by integrated bioinformatics analysis
por: Zhao, Qian, et al.
Publicado: (2021)

Identification of hub genes and potential molecular mechanisms in gastric cancer by integrated bioinformatics analysis
por: Cao, Ling, et al.
Publicado: (2018)

Differential expression patterns of housekeeping genes increase diagnostic and prognostic value in lung cancer
por: Chang, Yu-Chun, et al.
Publicado: (2018)

Exploration and validation of a novel prognostic signature based on comprehensive bioinformatics analysis in hepatocellular carcinoma
por: Wang, Xiaofei, et al.
Publicado: (2020)

Identification of dysregulated genes in rheumatoid arthritis based on bioinformatics analysis
por: Hao, Ruihu, et al.
Publicado: (2017)

Bioinformatics analysis of key genes and pathways in Hashimoto thyroiditis tissues
por: Zheng, Long, et al.
Publicado: (2020)

Gene signatures with predictive and prognostic survival values in human osteosarcoma
por: Qiu, Zhongpeng, et al.
Publicado: (2021)

Identifying multiple collagen gene family members as potential gastric cancer biomarkers using integrated bioinformatics analysis
por: Li, Zhaoxing, et al.
Publicado: (2020)

Identified a disintegrin and metalloproteinase with thrombospondin motifs 6 serve as a novel gastric cancer prognostic biomarker by bioinformatics analysis
por: Zhu, Ya-zhen, et al.
Publicado: (2021)

Identification of key genes and biological pathways in Chinese lung cancer population using bioinformatics analysis
por: Liu, Ping, et al.
Publicado: (2022)

Identification of a novel six‐gene signature with potential prognostic and therapeutic value in cervical cancer
por: Qu, Xinyu, et al.
Publicado: (2021)

Identification of candidate genes and prognostic value analysis in patients with PDL1-positive and PDL1-negative lung adenocarcinoma
por: Qi, Xiaoguang, et al.
Publicado: (2020)

A pan-cancer analysis of prognostic genes
por: Anaya, Jordan, et al.
Publicado: (2016)

Comprehensive analysis of the value of RAB family genes in prognosis of breast invasive carcinoma
por: Lin, Shitong, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_ho8s60kbc2uqgaepuqhqllfi5i