Identification Six Metabolic Genes as Potential Biomarkers for Lung Adenocarcinoma-Reference-Cited by-同舟云学术

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Identification Six Metabolic Genes as Potential Biomarkers for Lung Adenocarcinoma

Published:2020-10-01 Issue:10 Volume:27 Page:1532-1543
ISSN:1557-8666
Container-title:Journal of Computational Biology
language:en
Short-container-title:Journal of Computational Biology

Author:

Zhang Shusen¹²,Lu Yuanyuan³,Liu Zhongxin⁴,Li Xiaopeng⁵,Wang Zhihua²,Cai Zhigang¹

Affiliation:

1. Department of Respiratory and Critical Care Medicine, The Second Hospital of Hebei Medical University, Shijiazhuang, China.

2. Department of Respiratory and Critical Care Medicine, Affiliated Xing Tai People Hospital of Hebei Medical University, Xingtai, China.

3. Department of Anesthesiology, and Affiliated Xing Tai People Hospital of Hebei Medical University, Xingtai, China.

4. Department of Pathology, Affiliated Xing Tai People Hospital of Hebei Medical University, Xingtai, China.

5. Department of Neurosurgery, Handan First Hospital, Handan, China.

Publisher

Mary Ann Liebert Inc

Subject

Computational Theory and Mathematics,Computational Mathematics,Genetics,Molecular Biology,Modeling and Simulation

Link

https://www.liebertpub.com/doi/pdf/10.1089/cmb.2019.0454

Reference45 articles.

1. Targeting glucose metabolism to suppress cancer progression: prospective of anti-glycolytic cancer therapy

2. Identification of a metastatic lung adenocarcinoma of the palate mucosa through genetic and histopathological analysis: a rare case report and literature review

3. NF-YA Overexpression in Lung Cancer: LUSC

4. Cloning and Characterization of the Murine Glucosamine-6-phosphate Acetyltransferase EMeg32

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3. Identification of a methylomics-associated nomogram for predicting overall survival of stage I–II lung adenocarcinoma;Scientific Reports;2021-05-11

4. Upregulation of glucosamine‑phosphate N‑acetyltransferase 1 is a promising diagnostic and predictive indicator for poor survival in patients with lung adenocarcinoma;Oncology Letters;2021-04-22

5. Construction and validation of a metabolic risk model predicting prognosis of colon cancer;Scientific Reports;2021-03-25

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