Results 21 to 30 of about 54,878 (125)

Unique metastasis‐associated lncRNA signature optimizes prediction of tumor relapse in lung adenocarcinoma

Thoracic Cancer, 2020
Background Local relapses and metastases are primary causes of death in lung cancer patients. In the present study, we aimed to develop a prognostic signature based on metastasis‐associated lncRNAs in patients with lung adenocarcinoma (LUAD).
Xiaoshi Zhang, Jingyi Han, Lutao Du, Xiaoli Li, Jing Hao, Lili Wang, Guixi Zheng, Weili Duan, Yujiao Xie, Yinghui Zhao, Xin Zhang, Mingjin Zou, Chuanxin Wang   +12 more
doaj   +1 more source

Prognostic relevance of gene-expression signatures [PDF]

arXiv, 2022
Cancer prognosis can be regarded as estimating the risk of future outcomes from multiple variables. In prognostic signatures, these variables represent expressions of genes that are summed up to calculate a risk score. However, it is a natural phenomenon in living systems that the whole is more than the sum of its parts.
arxiv  

Construction of a prognostic signature of autophagy-related lncRNAs in non-small-cell lung cancer

BMC Cancer, 2021
Background Autophagy inhibits tumorigenesis by limiting inflammation. LncRNAs regulate gene expression at various levels as RNAs; thus, both autophagy and lncRNAs are closely related to the occurrence and development of tumours.
Xinyang Zhang, Yu Cao, Li Chen
doaj   +1 more source

Identification of a six-gene signature predicting overall survival for hepatocellular carcinoma

Cancer Cell International, 2019
Background Hepatocellular carcinoma (HCC) remains a major challenge for public health worldwide. Considering the great heterogeneity of HCC, more accurate prognostic models are urgently needed.
Gao-Min Liu, Hua-Dong Zeng, Cai-Yun Zhang, Ji-Wei Xu   +3 more
doaj   +1 more source

An eight-mRNA signature outperforms the lncRNA-based signature in predicting prognosis of patients with glioblastoma

BMC Medical Genetics, 2020
Background The prognosis of the glioblastoma (GBM) is dismal. This study aims to select an optimal RNA signature for prognostic prediction of GBM patients. Methods For the training set, the long non-coding RNA (lncRNA) and mRNA expression profiles of 151
Zhenyu Gong, Fan Hong, Hongxiang Wang, Xu Zhang, Juxiang Chen   +4 more
doaj   +1 more source

Development and validation of an immune gene-set based prognostic signature for soft tissue sarcoma

BMC Cancer, 2021
Background Sarcomas is a group of heterogeneous malignant tumors originated from mesenchymal tissue and different types of sarcomas have disparate outcomes. The present study aims to identify the prognostic value of immune-related genes (IRGs) in sarcoma
Rui Shen, Bo Liu, Xuesen Li, Tengbo Yu, Kuishuai Xu, Jinfeng Ma   +5 more
doaj   +1 more source

Exploration of prognostic genes and risk signature in breast cancer patients based on RNA binding proteins associated with ferroptosis

Frontiers in Genetics, 2023
Background: Breast cancer (BRCA) is a life-threatening malignancy in women with an unsatisfactory prognosis. The purpose of this study was to explore the prognostic biomarkers and a risk signature based on ferroptosis-related RNA-binding proteins (FR ...
Xiang Chen, Changcheng Yang, Wei Wang, Xionghui He, Hening Sun, Wenzhi Lyu, Kejian Zou, Shuo Fang, Shuo Fang, Zhijun Dai, Huaying Dong   +10 more
doaj   +1 more source

Comprehensive analysis reveals a metabolic ten-gene signature in hepatocellular carcinoma [PDF]

PeerJ, 2020
Background Due to the complicated molecular and cellular heterogeneity in hepatocellular carcinoma (HCC), the morbidity and mortality still remains high level in the world.
Zhipeng Zhu, Lulu Li, Jiuhua Xu, Weipeng Ye, Borong Chen, Junjie Zeng, Zhengjie Huang   +6 more
doaj   +2 more sources

An immune cell infiltration-related gene signature predicts prognosis for bladder cancer

Scientific Reports, 2021
To explore novel therapeutic targets, develop a gene signature and construct a prognostic nomogram of bladder cancer (BCa). Transcriptome data and clinical traits of BCa were downloaded from UCSC Xena database and Gene Expression Omnibus (GEO) database ...
Hualin Chen, Yang Pan, Xiaoxiang Jin, Gang Chen   +3 more
doaj   +1 more source

Data-driven prognostics based on time-frequency analysis and symbolic recurrent neural network for fuel cells under dynamic load [PDF]

, 2023
Data-centric prognostics is beneficial to improve the reliability and safety of proton exchange membrane fuel cell (PEMFC). For the prognostics of PEMFC operating under dynamic load, the challenges come from extracting degradation features, improving prediction accuracy, expanding the prognostics horizon, and reducing computational cost.
arxiv   +1 more source