SMO mutation predicts the effect of immune checkpoint inhibitor: From NSCLC to multiple cancers

Wenxiang Ji1, Xiaomin Niu1, Yongfeng Yu1

  • 1Shanghai Lung Cancer Center, Shanghai Chest Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

Frontiers in Immunology
|November 21, 2022
PubMed
Abstract

Insights

SMO gene mutations are linked to improved outcomes in cancer patients treated with immune checkpoint inhibitors (ICIs). This finding suggests SMO mutation status can predict better clinical responses to ICIs across various cancer types.

Area of Science:

  • Oncology
  • Genetics
  • Immunotherapy

Background:

  • Immune checkpoint inhibitors (ICIs) offer promising cancer treatments, but patient responses vary significantly.
  • Developmental signaling pathway genes are increasingly recognized for their role in antitumor immunity.
  • The specific association between genomic alterations in these genes and ICI response requires further elucidation.

Purpose of the Study:

  • To investigate the association between SMO gene mutation status and the efficacy of ICI therapy in non-small cell lung cancer (NSCLC) and pan-cancer cohorts.
  • To explore the correlation between SMO mutations and key immunotherapeutic biomarkers, including immune cell infiltration and related gene expression.
  • To examine the functional impact of SMO mutations on gene expression and cell growth in vitro.

Main Methods:

  • Clinical and sequencing data from published studies and a dedicated cohort were analyzed.
  • SMO mutation status was assessed in relation to ICI treatment efficacy.
  • In vitro experiments involving SMO mutant plasmids were conducted to study gene expression and cell proliferation.

Main Results:

  • SMO mutations were associated with significantly longer progression-free survival in NSCLC patients and improved overall survival in a pan-cancer cohort treated with ICIs.
  • The survival benefit of SMO mutations was consistent across various subgroups, including gender, age, treatment type, cancer type, and tumor mutation burden (TMB) status.
  • SMO mutations correlated with higher TMB, increased neoantigen load, more DNA damage repair (DDR) mutations, higher microsatellite instability (MSI) scores, and greater CD8+ T-cell infiltration.

Conclusions:

  • SMO mutation status serves as an independent prognostic factor for predicting favorable clinical outcomes in ICI therapy.
  • These findings highlight the potential of SMO mutations as a predictive biomarker for ICI treatment response across multiple cancer types.