Abstract 166P
Background
Molecular testing of somatic drivers in tumours expands personalised therapy with improved outcomes. Yet, actionable mutations are found in only 20% of non-small cell lung cancer (NSCLC). Our study aimed to improve molecular diagnostics by connecting somatic mutational signatures with proteogenomic profiles.
Methods
Targeted next-generation sequencing (NGS) test (APEX), whole genome sequencing (WGS), RNA sequencing (RNAseq) and targeted proteomics (Olink) were conducted on Southeast Asian NSCLC tumour/matched adjacent normal pairs. Integrative analyses were conducted to correlate somatic mutational signatures (single-base substitution (SBS), small insertions and deletions (ID) and copy number variation (CN)) with transcriptomic and proteomic profiles. Immune landscape was spatially resolved with multiplex immunohistochemistry (mIHC) staining.
Results
NGS-based molecular testing confirmed actionable mutations (EGFR, ALK, RET, MET) in only half of the cohort, with EGFR mutants found in 7 cases. Integrative multi-omics unravelled distinctive transcriptomic and proteomic features in Asian NSCLC that stratified tumours into function subtypes, reflecting key cancer hallmarks. Tumours exhibiting tobacco-associated mutagenesis (SBS4 signature) display heightened oxidative and hypoxic stress signals, accompanied by a subtype-specific immunosuppressive microenvironment, stressing potential benefits from a combined anti-angiogenic therapy with chemotherapy in SBS4-positive lung squamous cell carcinoma (LUSC). Oncogene-driven lung adenocarcinoma (LUAD) tumours with underlying APOBEC3A mutagenesis (SBS2/13 signature) also displayed perturbed NOTCH signalling akin to persistent, drug-resistant tumours, indicative of a shorter response duration to single agent target therapies among the SBS2/13-positive cases.
Conclusions
Our findings underscore the diagnostic potential of multi-omics in NSCLC, urging the implementation of somatic mutational signatures to advance molecular testing and treatment of NSCLC.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Ministry of Education, Singapore.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
133P - Neoadjuvant pembrolizumab plus lenvatinib in resectable stage III melanoma patients (pts) (NeoPele): Analysis of the peripheral immune profile correlated to pathological response
Presenter: Ines Pires da Silva
Session: Poster session 08
134P - Unraveling functionally distinct metabolic programs to predict immunotherapy response in non-small cell lung cancer (NSCLC)
Presenter: Arutha Kulasinghe
Session: Poster session 08
135P - Soluble PD-L1 (sPD-L1) as a predictive biomarker in patients with non-small cell lung cancer (NSCLC) treated with immune checkpoint inhibitors (ICIs) in the first-line setting
Presenter: Adrien Costantini
Session: Poster session 08
136P - Circulating hPG80 (WNT pathway activation) as a potential new prognostic/predictive factor of immunotherapy (ICI) efficacy: ONCOPRO prospective study
Presenter: Benoit You
Session: Poster session 08
137P - Long circulating-free DNA fragments predict early-progression (EP) and progression-free survival (PFS) in advanced carcinoma treated with immune-checkpoint inhibition (ICI): A new biomarker
Presenter: Sebastien Salas
Session: Poster session 08
138P - Toward predicting immune checkpoint blockade response in oesophageal squamous cell carcinoma: Integrating tumour and blood characteristics
Presenter: Amelie Franken
Session: Poster session 08
139P - Multimodal prognosis modeling of advanced NSCLC treated with first-line immunochemotherapy: Integrating genomic and microenvironmental data
Presenter: Yi Hu
Session: Poster session 08
140P - Mining metastatic lymph nodes for response to immune checkpoint therapy in non-small cell lung cancer
Presenter: Elena Donders
Session: Poster session 08
141P - Circulating immune cells predict immunotherapy benefit in patients with triple negative breast cancer: Preliminary results from the IRIS study
Presenter: Benedetta Conte
Session: Poster session 08