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September 13, 2024Frontiers in ImmunologyOpen Access

Integrating multi-omics and machine learning survival frameworks to build a prognostic model based on immune function and cell death patterns in a lung adenocarcinoma cohort

Yiluo Xie Huili Chen Mei Tian Ziqang Wang Luyao Wang Jing Zhang Xiaojing Wang Chaoqun Lian

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Abstract

The programmed cell death (PCD) plays a key role in the development and progression of lung adenocarcinoma. In addition, immune-related genes also play a crucial role in cancer progression and patient prognosis. However, further studies are needed to investigate the prognostic significance of the interaction between immune-related genes and cell death in LUAD.

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Cite This Study

Xie et al. (2024) studied this question.

synapsesocial.com/papers/68e58930b6db643587525478 https://doi.org/10.3389/fimmu.2024.1460547

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