免疫细胞在影响肺腺癌（LUAD）细胞的增殖、进展和转移方面扮演着越来越重要的角色。然而，免疫细胞特定基因模型的潜在作用仍然大部分未知。在本研究中，通过分析单细胞RNA测序（scRNA-seq）数据和批量RNA测序数据，基于总共26个机器学习（ML）算法，发展了肿瘤浸润免疫细胞（TIIC）相关特征。结果，TIIC特征分数可以预测LUAD患者在五个独立数据集中的生存结果。TIIC特征分数在LUAD中表现出比168个先前建立的特征更优越的性能。此外，利用LUAD患者组织芯片的免疫荧光染色开发出的TIIC特征分数具有预测价值。我们的研究揭示了TIIC特征分数与肿瘤免疫和代谢之间的稳固联系。此外，发现TIIC特征分数能够预测基因组变化、化疗药物敏感性和最重要的免疫治疗反应。作为一种新的生物标志物，TIIC特征分数有助于选择那些从未来的临床分层中受益的LUAD患者群体。© 2023 The Authors. 由北京干细胞与再生医学研究所和John Wiley＆Sons Ltd.发表的《细胞增殖》。

The immune cells play an increasingly vital role in influencing the proliferation, progression, and metastasis of lung adenocarcinoma (LUAD) cells. However, the potential of immune cells' specific genes-based model remains largely unknown. In the current study, by analysing single-cell RNA sequencing (scRNA-seq) data and bulk RNA sequencing data, the tumour-infiltrating immune cell (TIIC) associated signature was developed based on a total of 26 machine learning (ML) algorithms. As a result, the TIIC signature score could predict survival outcomes of LUAD patients across five independent datasets. The TIIC signature score showed superior performance to 168 previously established signatures in LUAD. Moreover, the TIIC signature score developed by the immunofluorescence staining of the tissue array of LUAD patients showed a prognostic value. Our research revealed a solid connection between TIIC signature score and tumour immunity as well as metabolism. Additionally, it has been discovered that the TIIC signature score can forecast genomic change, chemotherapeutic drug susceptibility, and-most significantly-immunotherapeutic response. As a newly demonstrated biomarker, the TIIC signature score facilitated the selection of the LUAD population who would benefit from future clinical stratification.© 2023 The Authors. Cell Proliferation published by Beijing Institute for Stem Cell and Regenerative Medicine and John Wiley & Sons Ltd.