Beyond TMB: Characterizing tumor-intrinsic genomic architectures of immune resistance.
Abstract
2586 Background: Immune checkpoint inhibitors (ICI) are increasingly selected based on tumor mutational burden (TMB); however, clinical benefit remains inconsistent. We hypothesized that tumor-intrinsic genomic alterations associated with immune suppression, immune exclusion, and antigen presentation failure frequently coexist with ICI-enabling biomarkers and define distinct resistance architectures. Methods: We analyzed tissue-based genomic profiling data from 7,773 solid tumors. TMB-high (TMB-H) tumors were evaluated for genomic alterations implicated in ICI resistance, including PTEN loss-of-function (LOF), STK11 and KEAP1 LOF, WNT /β-catenin pathway alterations ( CTNNB1 activating mutations, APC truncation/biallelic loss), B2M LOF (antigen presentation), JAK1/2 LOF (interferon signaling), and MDM2/MDM4 amplification. Results: Among 908 TMB-H tumors, 30.6% harbored at least one immune resistance–associated alteration. PTEN LOF was the dominant functional resistance event (7.6%) and represented the central hub in tumors with multiple resistance alterations (65.6%; 21/32). WNT pathway alterations were frequent, with APC truncation (15.9%; 144/908) exceeding CTNNB1 mutations (2.6%; 24/908), indicating heterogeneous modes of WNT activation. Importantly, WNT -driven tumors demonstrated divergent immune escape architectures: CTNNB1 -mutant tumors were enriched for B2M LOF (16.7%; 4/24), whereas APC -mutant tumors rarely harbored B2M loss (0.7%; 1/144), suggesting antigen presentation-dependent versus immune-exclusion-dominant resistance, respectively. Across the TMB-H cohort, increasing mutational burden was significantly associated with higher B2M LOF frequency (Wilcoxon rank-sum p = 3.6 × 10⁻⁶), consistent with immune editing under high neoantigen pressure. Interferon signaling alterations were rare ( JAK1 : 0.2%; 2/908; JAK2 : 0.0%; 0/908). Conclusions: TMB identifies immune pressure but not immune competence. Intrinsic ICI resistance in TMB high tumors is structured around a PTEN-WNT-B2M genomic axis, with distinct immune escape architectures determined by the mode of WNT activation. Integrating negative genomic predictors of immune response with established biomarkers may improve immunotherapy stratification and inform development of rational combination strategies. Prevalence of genomic alterations associated with intrinsic ICI resistance in TMB-high solid tumors. ICI resistance marker Prevalence in TMB-High Tumors STK11 2.4% KEAP1 0.3% PTEN 7.6% CTNNB1 2.6% APC 15.9% B2M 2.4% JAK1 0.2% JAK2 0.0% MDM2 2.5% MDM4 0.4%
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (18)
Ashok K. Vaid
Medanta, The Medicity, Gurugram, India
Kunjahari Medhi
Medanta, The Medicity, Gurugram, India
Amarendra Amar
Jayprabha Medanta Superspeciality Hospital, Patna, India
Sewanti Atul Limaye
Medical & Precision Oncology, Clinical and Translational Oncology Research, Sir HN Reliance Foundation, Mumbai, India
Suman Suryanarayana Karanth
Fortis Memorial Research Institute Gurugram, Gurugram, India
Shailesh Bondarde
Apex Wellness Hospital, Nashik, India
Darshana Suresh Patil
Datar Cancer Genetics, Nashik, India
Rajan Datar
Datar Cancer Genetics, Nashik, India
Priyanka Desale
Datar Cancer Genetics, Nashik, India
Neha Shaikh
Datar Cancer Genetics, Nashik, India
Stefan Schuster
Datar Cancer Genetics Europe GmbH, Bayreuth, Germany
Vineet Datta
Datar Cancer Genetics, Nashik, India
Aakriti Datta
Kasturba Medical College, Manipal, India
Ravi Mehrotra
Favaz Ali
VPS Lakeshore Medial Centre, Kozhikode, India
Adwaita Gore
Nanavati Max Super Speciality Hospital, Mumbai, India
Shefali Sardana
Max Super Speciality Hospital, New Delhi, India
Ajay Gupta