Background:The development of tumors is a highly complex process that entails numerous interactions and intricate relationships between the host immune system and cancer cells. It has been demonstrated in studies that the treatment response of patients can be correlated with the tumor microenvironment (TME). Consequently, the examination of diverse immune profiles within the TME can facilitate the elucidation of tumor development and the development of advantageous models for diagnoses and prognoses.Methods:In this study, we utilized a single-cell decomposition method to analyze the relationships between cell proportions and immune signatures in lung adenocarcinoma (LUAD) patients.Results:Our findings indicate that specific immune cell populations and immune signatures are significantly associated with patient prognosis. By identifying poor prognosis signatures (PPS), we reveal the critical role of immune profiles and cellular composition in disease outcomes, emphasizing their diagnostic potential for predicting patient prognosis.Conclusions:This study highlights the importance of immune signatures and cellular composition, which may serve as valuable biomarkers for disease prognosis in LUAD patients.
背景:肿瘤的发生发展是一个高度复杂的过程,涉及宿主免疫系统与癌细胞之间大量的相互作用和错综复杂的关系。研究表明,患者的治疗反应与肿瘤微环境(TME)密切相关。因此,对TME中不同免疫特征的分析有助于阐明肿瘤的发展机制,并为诊断和预后建立有效的预测模型。 方法:本研究采用单细胞分解方法,分析了肺腺癌(LUAD)患者细胞比例与免疫特征之间的关联。 结果:研究发现,特定的免疫细胞群和免疫特征与患者预后显著相关。通过识别不良预后特征(PPS),我们揭示了免疫特征和细胞组成在疾病转归中的关键作用,强调了其在预测患者预后方面的诊断潜力。 结论:本研究强调了免疫特征和细胞组成的重要性,它们可能作为肺腺癌患者疾病预后的重要生物标志物。