Multicenter cohort analysis of anoikis and EMT: implications for prognosis and therapy in lung adenocarcinoma

The AEOM provides a robust prognostic model for LUAD, uncovering critical immune and biological pathways, with RHPN2 identified as a key oncogenic driver. These findings offer valuable insights for targeted therapies and enhanced patient outcomes.

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Publication Details

Journal
Discover Oncology
Published
2024-09-19
DOI
https://doi.org/10.1007/s12672-024-01293-6
Citations
2
Primary Topic
Lung Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.84
Controls
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article

Multicenter cohort analysis of anoikis and EMT: implications for prognosis and therapy in lung adenocarcinoma

Lu Yin, Zhanshuo Zhang, Qiuyue Yan, Yan Zhu
2 citations
Discover Oncology
Lung Cancer Diagnosis and Treatment
0.84
article

Multicenter cohort analysis of anoikis and EMT: implications for prognosis and therapy in lung adenocarcinoma

Lu Yin, Zhanshuo Zhang, Qiuyue Yan, Yan Zhu
article en
2 citations

Abstract

The AEOM provides a robust prognostic model for LUAD, uncovering critical immune and biological pathways, with RHPN2 identified as a key oncogenic driver. These findings offer valuable insights for targeted therapies and enhanced patient outcomes.

Discover OncologyVol. 15(1)
Nanjing Normal University (CN), Tianjin Medical University Cancer Institute and Hospital (CN)
Good health and well-being
Openalex Percentile: Top 24%
Lung Cancer Diagnosis and Treatment
0.84
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