1. Involvement of ICAM5 in Carcinostasis Effects on LUAD Based on the ROS1-Related Prognostic Model
- Author
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Liu B, Zheng H, Ma G, Shen H, Pang Z, Huang G, Song Q, Wang G, and Du J
- Subjects
ros11 ,icam52 ,luad3 ,immune4 ,prognostic model5 ,Pathology ,RB1-214 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Baoliang Liu,1,* Haotian Zheng,1,* Guoyuan Ma,1,2 Hongchang Shen,3 Zhaofei Pang,3 Gemu Huang,4 Qingtao Song,4 Guanghui Wang,1,2 Jiajun Du1,2 1Department of Thoracic Surgery, Shandong Provincial Hospital, Shandong University, Jinan, Shandong, People’s Republic of China; 2Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China; 3Department of Oncology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, People’s Republic of China; 4Research and Development Department, Amoy Diagnostics Co., LTD., Xiamen, Fujian, People’s Republic of China*These authors contributed equally to this workCorrespondence: Guanghui Wang; Jiajun Du, Email wangguanghui66@email.sdu.edu.cn; dujiajun@sdu.edu.cnBackground: Lung cancer is the most common type of cancer in the world. In lung adenocarcinoma (LUAD), studies on receptor tyrosine kinase ROS proto-oncogene 1 (ROS1) have mainly focused on the oncogenic effects of its fusion mutations, whereas ROS1 has been reported to be aberrantly expressed in a variety of cancers and can extensively regulate the growth, survival, and proliferation of tumor cells through multiple signaling pathways. The comprehensive analysis of ROS1 expression has not been fully investigated regarding its predictive value for LUAD patients.Methods: Gene expression profiles collected from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases were used to build and validate prognostic risk models. The association of ROS1 with overall survival and the immune landscape was obtained from the Tumor Immune Estimation Resource (TIMER) database. The following analyses were performed using the R package to determine the model’s validity: pathway dysregulation analysis, gene set enrichment analysis, Gene Oncology analysis, immune invasion analysis, chemotherapy, radiotherapy, and immunotherapy sensitivity analysis. Finally, we conducted a pan-cancer analysis and performed in vitro experiments to explore the regulatory role of intercellular adhesion molecule 5 (ICAM5) in the progression of LUAD.Results: We constructed a 17-gene model that categorized patients into two risk groups. The model had predictive accuracy for tumor prognosis and was specific for patients with high ROS1 expression. Comprehensive analysis showed that patients in the high-risk group were characterized by marked dysregulation of multiple pathways (eg, unfolded protein response), immune suppression of the tumor microenvironment, and poor benefit from immunotherapy and radiotherapy compared with patients in the low-risk group. PLX4720 may be a suitable treatment for the high-risk patient population. The ICAM5 gene has been demonstrated to inhibit the proliferation, cell cycle, invasion, and migration of LUAD cells.Conclusion: We constructed a 17-gene prognostic risk model and found differences in immune-related cells, biological processes, and prognosis among patients in different risk groups based on the correlation between ROS1 and immunity. Personalized therapy may play an essential role in treatment. We further investigated the role of ICAM5 in inhibiting the malignant bioactivity of LUAD cells.Keywords: ROS1, ICAM5, LUAD, immune, prognostic model
- Published
- 2024