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Updated: May 12, 2026
Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
A 7-gene expression signature predicts immune microenvironment remodeling and neoadjuvant chemo-immunotherapy
Shaoling Li1, Junhong Guo1, Yan Huang1
1Department of Pathology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Background:
Neoadjuvant chemo-immunotherapy (NCI) has significantly improved outcomes in advanced lung squamous cell carcinoma (LUSC). However, some patients remain resistant to NCI, resulting in poor outcomes. The mechanisms behind this resistance remain unclear.
Methods:
Forty LUSC patients receiving NCI were selected and categorized into major pathological response (MPR) and non-MPR groups based on their pathological response. Pre- and post-treatment samples underwent bulk RNA sequencing (RNA-seq) to assess the composition of immune cell subtypes, including T cells, B cells, NK cells, dendritic cells, and macrophages. A panel of 134 immune cell subtypes were further analyzed to differentiate between "cold" and "hot" tumor immune phenotypes.
Results:
After surgery, 75% of patients achieved MPR, while 25% were classified as non-MPR. In MPR patients, NCI transformed the tumor immune microenvironment (TME) from a "cold" to a "hot" phenotype, characterized by increased anti-tumor immune activity. We identified seven genes potentially linked to NCI response. Among these, HOXC13 was associated with reduced immune-cell infiltration and inferior NCI response. High HOXC13 expression was associated with worse progression-free survival (PFS) and overall survival (OS), as confirmed by the OAK database.
Conclusions:
NCI altered the TME and was linked to treatment response in LUSC. Identifying predictors of immunotherapy efficacy, such as HOXC13, provides potential strategies to overcome resistance in clinical practice.
