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Derivation of a Novel CIHI in Patients with Lung Adenocarcinoma for Estimating Tumor Microenvironment and Clinical Prognosis

Overview
Journal Dis Markers
Publisher Wiley
Specialty Biochemistry
Date 2021 Dec 2
PMID 34853621
Citations 2
Authors
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Abstract

An interaction between hypoxia and immunity has been confirmed in tumor tissue. However, there is no combined biomarker for diagnosis on this basis. Therefore, we developed a scoring formula based on markers of hypoxia and immunity. Firstly, the hypoxia-immune formula of lung adenocarcinoma (LUAD) was derived using LASSO-Cox regression in three cohorts from public database, and the corresponding score was calculated for each patient. The formula is as follows: combined hypoxia and immune index (CIHI) = LDHA expression × 0.2252 + GAPDH expression × 0.0727 + ANGPTL4 expression × 0.0724 + VEGFC expression × 0.1911 + DKK1 expression × 0.1355 + ADM expression × 0.0588 + BTK expression × -0.1659. Meanwhile, patients were divided into groups according to high and low CIHI, and expression profiles of hypoxia markers and immune markers were analyzed in different groups. CIHI was used to confirm that patients with high CIHI represented a state of hypoxia-immunity, which had worse overall survival. We also discussed the evaluation value in the immune microenvironment and clinical application of CIHI. In conclusion, this study developed and validated a hypoxia-immune formula that can guide hypoxia modifier treatment and immunotherapy in LUAD.

Citing Articles

Single-Cell RNA Sequencing Analysis of Gene Regulatory Network Changes in the Development of Lung Adenocarcinoma.

Yu D, Zhang S, Liu Z, Xu L, Chen L, Xie L Biomolecules. 2023; 13(4).

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m6A-Related lncRNA Signature Is Involved in Immunosuppression and Predicts the Patient Prognosis of the Age-Associated Ovarian Cancer.

Li M, Zhang L, Feng M, Huang X J Immunol Res. 2022; 2022:3258400.

PMID: 35991123 PMC: 9385364. DOI: 10.1155/2022/3258400.

References
1.
Liu Y, Pang Z, Zhao X, Zeng Y, Shen H, Du J . Prognostic model of AU-rich genes predicting the prognosis of lung adenocarcinoma. PeerJ. 2021; 9:e12275. PMC: 8504460. DOI: 10.7717/peerj.12275. View

2.
Chang L, Fang S, Gu W . The Molecular Mechanism of Metabolic Remodeling in Lung Cancer. J Cancer. 2020; 11(6):1403-1411. PMC: 6995370. DOI: 10.7150/jca.31406. View

3.
Vanhove K, Graulus G, Mesotten L, Thomeer M, Derveaux E, Noben J . The Metabolic Landscape of Lung Cancer: New Insights in a Disturbed Glucose Metabolism. Front Oncol. 2019; 9:1215. PMC: 6873590. DOI: 10.3389/fonc.2019.01215. View

4.
Sun J, Zhao T, Zhao D, Qi X, Bao X, Shi R . Development and validation of a hypoxia-related gene signature to predict overall survival in early-stage lung adenocarcinoma patients. Ther Adv Med Oncol. 2020; 12:1758835920937904. PMC: 7333486. DOI: 10.1177/1758835920937904. View

5.
Shang Q, Dong Z, Liu C, Bai Y, Guo C, Zhang L . Differential effects of agonistic 4-1BB (CD137) monoclonal antibody on the maturation and functions of hypoxic dendritic cells. Int Immunopharmacol. 2014; 23(2):609-16. DOI: 10.1016/j.intimp.2014.10.012. View