Evidence map›Paper›PMID 39184152›Full record

ArticleFrontiers in molecular biosciences2024

A novel mitochondria-related algorithm for predicting the survival outcomes and drug sensitivity of patients with lung adenocarcinoma.

Xianqiao Wu, Hang Chen, Zhen Ge, Binyu Luo, Hanbo Pan, Yiming Shen, Zuorun Xie, Chengwei Zhou

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Xianqiao Wu *Department of Thoracic Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Hang Chen *Department of Thoracic Surgery, Ningbo Medical Center LiHuiLi Hospital, Ningbo, Zhejiang, China.
Zhen GeDepartment of Thoracic Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.
Binyu LuoDepartment of Thoracic Surgery, Ningbo Medical Center LiHuiLi Hospital, Ningbo, Zhejiang, China.
Hanbo PanShanghai Lung Cancer Center, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yiming ShenDepartment of Otology and Skull Base Surgery, Eye Ear Nose and Throat Hospital, Fudan University, Shanghai, China.
Zuorun Xie *Department of Thoracic Surgery, Ningbo Medical Center LiHuiLi Hospital, Ningbo, Zhejiang, China.
Chengwei ZhouDepartment of Thoracic Surgery, The First Affiliated Hospital of Ningbo University, Ningbo, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Mitochondria have always been considered too be closely related to the occurrence and development of malignant tumors. However, the bioinformatic analysis of mitochondria in lung adenocarcinoma (LUAD) has not been reported yet. Methods: In the present study, we constructed a novel and reliable algorithm, comprising a consensus cluster analysis and risk assessment model, to predict the survival outcomes and tumor immunity for patients with terminal LUAD. Results: Patients with LUAD were classified into three clusters, and patients in cluster 1 exhibited the best survival outcomes. The patients in cluster 3 had the highest expression of Conclusion: We constructed a novel and reliable algorithm comprising a consensus cluster analysis and risk assessment model to predict survival outcomes, which functions as a reliable guideline for anti-tumor drug treatment for patients with terminal LUAD.

Indexed as

consensus clusterlung adenocarcinomamitochondriarisk assessment modeltumor immunity

Identifiers

PMID39184152
PMCPMC11342398

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