Results 101 to 110 of about 187,404 (263)

Comparing self‐reported race and genetic ancestry for identifying potential differentially methylated sites in endometrial cancer: insights from African ancestry proportions using machine learning models

Molecular Oncology, EarlyView.
Integrating ancestry, differential methylation analysis, and machine learning, we identified robust epigenetic signature genes (ESGs) and Core‐ESGs in Black and White women with endometrial cancer. Core‐ESGs (namely APOBEC1 and PLEKHG5) methylation levels were significantly associated with survival, with tumors from high African ancestry (THA) showing ...
Huma Asif, J. Julie Kim
wiley   +1 more source

Computational prediction of diagnostic biomarker candidates and prognostic gene signature from DNA replication-related genes in breast cancer

Discover Oncology
Background Given the role of DNA replication in tumorigenesis, identifying diagnostic and prognostic biomarkers of this process using machine learning approaches may reveal new therapeutic targets and improve prognostic assessment in breast cancer ...
Ceren Sucularli
doaj   +1 more source

A novel gene expression signature-based on B-cell proportion to predict prognosis of patients with lung adenocarcinoma

BMC Cancer, 2021
Background This study aimed to develop a reliable immune signature based on B-cell proportion to predict the prognosis and benefit of immunotherapy in LUAD.
Yi Zhang, Xuewen Yin, Qi Wang, Xuming Song, Wenjie Xia, Qixing Mao, Bing Chen, Yingkuan Liang, Te Zhang, Lin Xu, Feng Jiang, Xinyu Xu, Gaochao Dong   +12 more
doaj   +1 more source

Prognostic value of routine laboratory variables in prediction of breast cancer recurrence. [PDF]

, 2017
The prognostic value of routine laboratory variables in breast cancer has been largely overlooked. Based on laboratory tests commonly performed in clinical practice, we aimed to develop a new model to predict disease free survival (DFS) after surgical ...
Du, Ye, Fan, Zhimin, Fu, Tong, Li, Ke, Li, Ling, Shi, Aiping, Wang, Chun, Wu, Di, Ye, Zhong, Zhu, Yifan, Zhu, Zhu   +10 more
core   +2 more sources

Numerical Key Performance Indicators for the Validation of PHM Health Indicators with Application to a Hydraulic Actuation System [PDF]

, 2013
In order to perform Prognostic and Health Management (PHM) of a given system, it is necessary to define some relevant variables sensitive to the different degradation modes of the system.
LAMOUREUX, Benjamin, MASSE, Jean-Rémi, MECHBAL, Nazih   +2 more
core   +4 more sources

A Surgical Perspective on Targeted Therapy of Hepatocellular Carcinoma. [PDF]

, 2015
Hepatocellular carcinoma (HCC), the second leading cause of cancer deaths worldwide, is difficult to treat and highly lethal. Since HCC is predominantly diagnosed in patients with cirrhosis, treatment planning must consider both the severity of liver ...
Busuttil, Ronald W, Faltermeier, Claire, Zarrinpar, Ali   +2 more
core   +2 more sources

Integrated analysis reveals potential long non-coding RNA biomarkers and their potential biological functions for disease free survival in gastric cancer patients

Cancer Cell International, 2019
Background Increasing evidences supported the association between long non-coding RNA (lncRNA) and disease free survival in gastric cancer (GC) patients.
Canchang Cheng, Qicai Wang, Minggu Zhu, Kelong Liu, Zhiqiao Zhang   +4 more
doaj   +1 more source

A prognostic gene expression signature for oropharyngeal squamous cell carcinoma

EBioMedicine, 2020
Background: Robust prognostic stratification of patients with oropharyngeal squamous cell carcinoma (OPSCC) is important for developing individualized treatment plans.
Xinyi Liu, Ping Liu, Rebecca D. Chernock, Krystle A.Lang Kuhs, James S. Lewis, Jr., Jingqin Luo, Hiram A. Gay, Wade L. Thorstad, Xiaowei Wang   +8 more
doaj   +1 more source

Glycosylation Gene Signatures as Prognostic Biomarkers in Glioblastoma

Annals of Clinical and Translational Neurology
ABSTRACTObjectiveGlioblastoma (GBM) is an aggressive brain tumor characterized by significant heterogeneity. This study investigates the role of glycosylation‐related genes in GBM subtyping, prognosis, and response to therapy.MethodsWe analyzed mRNA expression data and clinical information from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus
Tong Zhao, Hongliang Ge, Chenchao Lin, Xiyue Wu, Jianwu Chen   +4 more
openaire   +3 more sources

Integrative Analysis of DNA Methylation and Gene Expression Identify a Three-Gene Signature for Predicting Prognosis in Lower-Grade Gliomas

Cellular Physiology and Biochemistry, 2018
Background/Aims: In the current study, we performed an integrated analysis of genome-wide methylation and gene expression data to find novel prognostic genes for lower-grade gliomas (LGGs).
Wen-Jing Zeng, Yong-Long Yang, Zheng-Zheng Liu, Zhi-Peng Wen, Yan-Hong Chen, Xiao-Lei Hu, Quan Cheng, Jian Xiao, Jie Zhao, Xiao-Ping Chen   +9 more
doaj   +1 more source