<i>ATM</i> mutations in pancreatic cancer: A real-world analysis of molecular landscapes, clinical heterogeneity, and prognostic impact.

e16376 Background: ATM is a core DNA damage repair gene. Its mutations occur in 2%-8% of pancreatic cancers, but the heterogeneity of the mutational spectrum, clinicopathological correlations, and prognostic significance remain poorly defined, especially for germline versus somatic alterations. Methods: We retrospectively analyzed 665 pathologically confirmed pancreatic cancer patients with NGS data. Patients were categorized: ATM-mutant (n=44, including somatic-only [n=35], germline-only [n=4], and co-mutant [n=5]) and ATM-wild-type (n=621). Analyses included: mutational spectrum, clinicopathological correlations, pathway enrichment (KEGG/GO/Reactome), and overall survival (OS). Statistical tests: Fisher's exact, Log-rank, and Cox models. Results: Molecular Features: ATM-mutant tumors showed a distinct co-mutation pattern, with significantly lower TP53 mutation frequency (adjusted p&lt;0.05). Germline-related ATM mutations (n=9) were enriched for CDKN2A/B inactivation (p&lt;0.05), linked to cell cycle pathways. Pathway analysis indicated reduced MAPK/RTK-RAS signaling and enriched mutations in chromatin remodeling (SWI/SNF) genes. Clinical Phenotypes: ATM-mutant patients had: (1) Higher prevalence of personal cancer history (ovarian/breast/colorectal: 16.0% vs. 5.6%, p=0.03); (2) Less local invasiveness (higher T1-2 stage: 56.8% vs. 42.4%, p=0.02). Context-Dependent Prognosis: (1) ATM status was not prognostic in the overall cohort. (2) Among initially unresectable patients, the somatic/germline co-mutant subgroup had the most favorable OS vs. wild-type and somatic-only groups (p=0.044). (3) Stratified analysis identified novel markers: In resectable ATM-mutant patients, CA199&gt;265 U/ml or RUNX1 mutation predicted poor OS (p=0.0053; p=0.0023). In stage III/IV patients, concurrent ARID1A or CDKN2A mutations were associated with shorter OS (p=0.025; p=0.0011). Genomic Stability: No significant difference in TMB among subgroups (p=0.83). Most patients were microsatellite stable. Conclusions: ATM-mutated pancreatic cancer represents a distinct subgroup with unique molecular and clinical features. Its prognostic value is highly context-dependent: somatic/germline co-mutation may be a favorable marker in unresectable disease, while RUNX1, ARID1A, CDKN2A mutations and CA199 levels enable refined risk stratification in other settings. These findings provide a new basis for personalized management of ATM-mutant pancreatic cancer.

Authors

Institutions

Publication Details

Journal
Journal of Clinical Oncology
Published
2026-05-28
DOI
https://doi.org/10.1200/jco.2026.44.16_suppl.e16376
Primary Topic
Pancreatic and Hepatic Oncology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ATM mutations in pancreatic cancer: A real-world analysis of molecular landscapes, clinical heterogeneity, and prognostic impact.

Yuejuan Cheng, Huanwen M. Wu, Wenqi Han, Yi Ba et al.
Journal of Clinical Oncology
Pancreatic and Hepatic Oncology Research
article

ATM mutations in pancreatic cancer: A real-world analysis of molecular landscapes, clinical heterogeneity, and prognostic impact.

Yuejuan Cheng, Huanwen M. Wu, Wenqi Han, Yi Ba, Xiaoting Ma
article en

Abstract

e16376 Background: ATM is a core DNA damage repair gene. Its mutations occur in 2%-8% of pancreatic cancers, but the heterogeneity of the mutational spectrum, clinicopathological correlations, and prognostic significance remain poorly defined, especially for germline versus somatic alterations. Methods: We retrospectively analyzed 665 pathologically confirmed pancreatic cancer patients with NGS data. Patients were categorized: ATM-mutant (n=44, including somatic-only [n=35], germline-only [n=4], and co-mutant [n=5]) and ATM-wild-type (n=621). Analyses included: mutational spectrum, clinicopathological correlations, pathway enrichment (KEGG/GO/Reactome), and overall survival (OS). Statistical tests: Fisher's exact, Log-rank, and Cox models. Results: Molecular Features: ATM-mutant tumors showed a distinct co-mutation pattern, with significantly lower TP53 mutation frequency (adjusted p&lt;0.05). Germline-related ATM mutations (n=9) were enriched for CDKN2A/B inactivation (p&lt;0.05), linked to cell cycle pathways. Pathway analysis indicated reduced MAPK/RTK-RAS signaling and enriched mutations in chromatin remodeling (SWI/SNF) genes. Clinical Phenotypes: ATM-mutant patients had: (1) Higher prevalence of personal cancer history (ovarian/breast/colorectal: 16.0% vs. 5.6%, p=0.03); (2) Less local invasiveness (higher T1-2 stage: 56.8% vs. 42.4%, p=0.02). Context-Dependent Prognosis: (1) ATM status was not prognostic in the overall cohort. (2) Among initially unresectable patients, the somatic/germline co-mutant subgroup had the most favorable OS vs. wild-type and somatic-only groups (p=0.044). (3) Stratified analysis identified novel markers: In resectable ATM-mutant patients, CA199&gt;265 U/ml or RUNX1 mutation predicted poor OS (p=0.0053; p=0.0023). In stage III/IV patients, concurrent ARID1A or CDKN2A mutations were associated with shorter OS (p=0.025; p=0.0011). Genomic Stability: No significant difference in TMB among subgroups (p=0.83). Most patients were microsatellite stable. Conclusions: ATM-mutated pancreatic cancer represents a distinct subgroup with unique molecular and clinical features. Its prognostic value is highly context-dependent: somatic/germline co-mutation may be a favorable marker in unresectable disease, while RUNX1, ARID1A, CDKN2A mutations and CA199 levels enable refined risk stratification in other settings. These findings provide a new basis for personalized management of ATM-mutant pancreatic cancer.

Journal of Clinical OncologyVol. 44(16_suppl)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN)
Openalex Percentile: Top 7%
Pancreatic and Hepatic Oncology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.