Evidence map›Paper›PMID 34135942›Full record

ArticleFrontiers in genetics2021

Elastic Net Models Based on DNA Copy Number Variations Predicts Clinical Features, Expression Signatures, and Mutations in Lung Adenocarcinoma.

Yi Xiang, Xiaohuan Zou, Huaqiu Shi, Xueming Xu, Caixia Wu, Wenjuan Zhong, Jinfeng Wang, Wenting Zhou, Xiaoli Zeng, Miao He and 3 more

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Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yi XiangDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Xiaohuan ZouDepartment of Critical Care Medicine, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Huaqiu ShiDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Xueming XuDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Caixia WuFirst Clinical Medical College, Gannan Medical University, Ganzhou, China.
Wenjuan ZhongDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Jinfeng WangDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Wenting ZhouDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Xiaoli ZengDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Miao HeDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Ying WangFirst Clinical Medical College, Gannan Medical University, Ganzhou, China.
Li HuangDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.
Xiangcai WangDepartment of Oncology, The First Affiliated Hospital, Gannan Medical University, Ganzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the precision medicine of lung adenocarcinoma, the identification and prediction of tumor phenotypes for specific biomolecular events are still not studied in depth. Various earlier researches sheds light on the close correlation between genetic expression signatures and DNA copy number variations (CNVs), for which analysis of CNVs provides valuable information about molecular and phenotypic changes in tumorigenesis. In this study, we propose a comprehensive analysis combining genome-wide association analysis and an Elastic Net Regression predictive model, focus on predicting the levels of many gene expression signatures in lung adenocarcinoma, based upon DNA copy number features alone. Additionally, we predicted many other key phenotypes, including clinical features (pathological stage), gene mutations, and protein expressions. These Elastic Net prediction methods can also be applied to other gene sets, thereby facilitating their use as biomarkers in monitoring therapy.

Indexed as

DNA copy numberElastic Netgene expression signaturelung adenocarcinomapredictive model

Identifiers

PMID34135942
PMCPMC8202527

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