Abstract 2100: Genomic profiles and immune cell infiltration landscapes for lymph node metastasis in T1 lung adenocarcinoma

Abstract

Abstract Background: Comprehensive genomic and tumor immune microenvironment (TIME) analysis of T1 lung adenocarcinoma (LAD) may provide new insights into the biology of lymph node metastasis (LNM), thereby guiding surgical procedures and perioperative treatment. Methods: A total of 212 cases of T1 LAD were included, of which 174 cases underwent whole exome sequencing to assess gene mutation and tumor mutation burden (TMB). Tumor mutation score (TMS) was constructed from LNM identified by LASSO regression. Immunohistochemical staining was performed to assess PD-L1 levels, tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs) densities. Validation and supplementation were performed by RNA sequencing data from the TCGA database. Results: A total of 25 genes were associated with the risk of LNM, of which STK11, NOTCH2, RHBDF2, EGFR, and CYP2D6 could be validated by RNA sequencing. The model predicted LNM (AUC = 0.904) and 2-year recurrence and metastasis (AUC = 0.700). Besides, TILs were negatively correlated with LNM of T1 LAD, while TAMs were positively (p<0.05). Moreover, the TMS was correlated with the TIME, particularly TAMs(r=0.331, p<0.001). Conclusions: Tumor gene mutation promotes lymph node metastasis by changing the TIME, especially TAMs. Predictive models can identify high-risk patients and provide evidence for future studies of perioperative management. Citation Format: Fang Wu, Yue Pan, Chunhong Hu, Chen Chen, Wenliang Liu, Songqing Fan, Long Shu, Lishu Zhao, Yucheng Fu, Sujuan Zhang, Junqi Liu, Yue Zeng, Yurong Peng, Hongjing Zang, Chao Deng, Zhenhua Qiu, Fang Ma, Fenglei Yu, Xianling Liu, Lijuan Liu, Lingling Yang, Yang Shao. Genomic profiles and immune cell infiltration landscapes for lymph node metastasis in T1 lung adenocarcinoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2100.