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Walsh, Kyle M.

https://orcid.org/0000-0002-5879-9981

A5050523491 | I4210095140

Mayo Clinic

National Institute of Environmental Health Sciences

Citations 11

Multi-Omics Study of Ancestry in Adults with Intracranial Cancers – Glioma (MOSAIC)

No container title available | June 26, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.64898/2026.06.24.733669 | PMID 42395459

ABSTRACT Background Most genomic studies of adult-type diffuse gliomas have focused on predominantly European ancestry populations, limiting the generalizability of molecular classifications and precision medicine approaches. We assembled a multi-institutional glioma cohort of diverse patients to investigate how germline ancestry, molecular subtypes, and mutational processes shape tumor biology and clinical outcomes. Methods We analyzed 1,102 adults with WHO 2021–classified diffuse gliomas (IDH-mutant, 1p/19q-codeleted oligodendroglioma; IDH-mutant astrocytoma; IDH-wildtype glioma) from seven U.S. institutions. Whole-exome sequencing (WES) of FFPE tumors identified somatic alterations and COSMIC SBS v3.2 mutational signatures. Genetic ancestry was estimated from WES using 1000 Genomes reference populations. Overall survival was assessed using Kaplan–Meier and multivariable models. Results The cohort included 66.9% European (EUR), 21.1% Admixed American/Hispanic (AMR), 10.3% Admixed African (AFR), and 1.6% Asian (AS) ancestry. Survival followed expected molecular hierarchy (median overall survival: oligodendroglioma 15.7 years, astrocytoma 10.6 years, IDH-wildtype glioma 1.9 years). Within oligodendroglioma, AMR patients showed improved survival versus EUR (HR 0.67, 95% CI 0.48–0.94; p=0.011), with similar trends across subtypes. Somatic profiling confirmed canonical subtype-defining alterations and revealed higher ATRX alterations in AFR and AMR IDH-wildtype tumors compared with EUR. ATRX alterations were associated with improved survival only in AFR (p=0.003). Mutational signature analysis identified subtype-specific signatures, including therapy-associated signatures. Chemotherapy-related signatures were more frequent in EUR and AMR than in AFR. Conclusions This ancestrally diverse glioma cohort confirms established molecular classifications and identifies ancestry-associated differences in survival, somatic alterations, and mutational processes, indicating the critical need for broad representation to inform precision neuro-oncology. Key Points A multi-institutional glioma cohort validates subtype and survival patterns across ancestries. Therapy-associated mutational signatures differ by ancestry, suggesting distinct treatment-related mutational processes. Admixed American patients show improved survival, particularly in oligodendroglioma. Importance of the Study Most genomic studies of adult-type diffuse glioma have focused on populations of predominantly European ancestry which limits the ability to examine variation in tumor biology and clinical outcomes across populations. In this study, we assembled one of the largest ancestrally diverse cohorts of molecularly characterized adult diffuse gliomas, integrating germline ancestry inference with tumor whole-exome sequencing and mutational signature analysis. We confirm that established molecular classifications and survival hierarchies remain robust across ancestry groups. However, we also identified ancestry-associated differences in survival within specific tumor subtypes, higher ATRX alteration frequencies in African American and admixed American patients with IDH-wildtype tumors, and variation in therapy-associated mutational signatures across ancestry groups. These findings highlight the importance of incorporating population differences into genomic studies of glioma and provide a resource for future multi-ancestry investigations of glioma risk, tumor evolution, and treatment response, ultimately supporting more inclusive precision neuro-oncology.
A framework for using DNA methylation-based modelling for the clinical management of cranial meningioma

Neuro-Oncology | November 15, 2025 | Volume: 28 | Issue: 2 | Pages: 430-439

10.1093/neuonc/noaf237 | PMID 41259653

Abstract Background DNA methylation profiling can be used to robustly predict postsurgical outcomes and response to radiotherapy (RT) for meningioma patients. To allow for seamless integration of these complementary models into clinical practice, a practical framework is needed. Methods We leveraged a cohort of nearly 2000 surgically-treated meningiomas with DNA methylation profiling and clinical outcomes data. Existing methylation-based prediction models were dichotomized to yield four risk groups: low and high recurrent risk, each with RT sensitive and resistant subgroups. Risk groups were correlated with progression-free survival in the context of existing biomarkers including extent of resection and WHO grade. Results We first demonstrated that all risk groups benefit from gross total resection. All “high-risk, RT sensitive” tumors (n = 306, 15.7%) also benefited from adjuvant RT: after GTR, median PFS increased from 4.68 (4.13-9.48) years to not reached (P = .003); after subtotal resection (STR), from 2.12 (1.59-3.02) to 4.09 (3.41-not reached) years (P = .004). “Low-risk, RT sensitive cases” (n = 1207, 61.8%) also benefited from RT after STR (median PFS 7.39 (6.66-12.8) vs. 16.53 (10.35-not reached) years, P = .03), suggesting that RT be considered in these patients. Neither “low-risk RT resistant” (n = 84, 4.3%) nor “high-risk RT resistant” (n = 356, 18.2%) cases benefited from RT, and the latter group was associated with universally poor outcomes. Conclusions We identify methylation-defined risk groups of meningioma for which additional benefit is gained from adjuvant RT, leading to a clinical decision-making framework for straightforward integration of molecular models into clinical practice.
Missense SNP rs3731249 Explains the CDKN2A Association with Childhood ALL and Shows Risk Allele Selection in Tumors with Somatic CDKN2A Alterations

Blood | October 10, 2019 | Volume: 124 | Issue: 21 | Pages: 129-129

10.1182/blood.v124.21.129.129

Abstract Little is known about the interaction between constitutive and somatic genetic variation in carcinogenesis. Genome-wide association studies (GWAS) of childhood acute lymphoblastic leukemia (ALL) have identified 6 genetic associations, including the single nucleotide polymorphism (SNP) rs3731217, located between the CDKN2A and CDKN2B genes. Somatic deletions of this chromosome 9p21.3 region are common in cancer, and occur in ~30% of childhood ALL. We replicated the rs3731217 association with childhood ALL in Hispanics (P = 0.021) via a GWAS of 323 childhood ALL cases and 454 controls, using the Illumina OmniExpress SNP array. SNP imputation analysis across chromosome 9p21.3 revealed a stronger association at SNP rs3731249 (P = 6.4x10-4; OR = 2.77), a low-frequency missense variant in exon 2 (p.Ala148Thr) of CDKN2A (MAFcontrols = 2.1%). These associations were replicated in an additional 378 ALL cases and 536 controls using Taqman assays, where the missense variant again had a greater magnitude of effect (Prs3731249 = 6.5x10-3; OR rs3731249 = 2.00 versus Prs3731217 = 0.029; OR rs3731217= 1.38). We assessed the effect of rs3731249 on risk of other cancers with known chr9p21.3 GWAS associations, but observed no association between this variant and either adult glioblastoma or melanoma risk, suggesting an ALL-specific role for rs3731249. We hypothesized that cases heterozygous for rs3731249 may show allelic imbalance, with preferential loss of the wildtype (WT) allele when hemizygous chr9p21.3 deletions occur in leukemic cells. To test this, we developed a novel method termed “SMART-ddPCR” (Somatic Mutation Allelic Ratio Test using Droplet Digital PCR). Concentration of risk and WT alleles was measured by ddPCR using the rs3731249 Taqman assay in diagnostic bone marrow (i.e. tumor) DNA from 35 known heterozygotes. Allelic imbalance due to somatic CDKN2A alterations was identified in 17 cases, of which 14 had a higher risk:WT allele ratio (P = 0.006, 1-sided binomial significance test), thus demonstrating preferential loss of WT rs3731249 and retention of the missense allele. Subclonal heterogeneity in CDKN2A copy number was also evident, suggesting that CDKN2A alterations are secondary events in leukemogenesis. Preferential allelic imbalance towards the rs3731249 risk allele in ALL tumor DNA provides strong evidence of an important role for this missense variant in leukemogenesis. We show, for the first time, a direct relationship between constitutive and somatic genetic variants underlying ALL development, suggesting that such constitutive variants can provide an additional substrate for selection during tumor evolution. Disclosures No relevant conflicts of interest to declare.
Sex-specific gene and pathway modeling of inherited glioma risk

Neuro-Oncology | August 8, 2018 | Volume: 21 | Issue: 1 | Pages: 71-82

10.1093/neuonc/noy135 | PMID 30124908

Association Between Telomere Length and Risk of Cancer and Non-Neoplastic Diseases

JAMA Oncology | February 27, 2017 | Volume: 3 | Issue: 5 | Pages: 636

10.1001/jamaoncol.2016.5945 | PMID 28241208

Understanding inherited genetic risk of adult glioma – a review

Neuro-Oncology Practice | February 8, 2016 | Volume: 3 | Issue: 1 | Pages: 10-16

10.1093/nop/npv026 | PMID 26941959

Abstract During the past six years, researchers have made major progress identifying common inherited genetic variation that increases risk for primary adult glioma. This paper summarizes knowledge about rare familial cancer syndromes that include adult glioma and reviews the available literature on the more recently discovered common inherited variation. Ten independent inherited variants in eight chromosomal regions have been convincingly associated with increased risk for adult glioma. Most of these variants increase relative risk of primary adult glioma by 20% to 40%, but the TP53 variant rs78378222 confers a two-fold relative risk (ie, 200%), and rs557505857 on chromosome 8 confers a six-fold relative risk of IDH-mutated astrocytomas and oligodendroglial tumors (ie, 600%). Even with a six-fold relative risk, the overall risk of developing adult glioma is too low for screening for the high-risk variant on chromosome 8. Future studies will help clarify which inherited adult glioma risk variants are associated with subtypes defined by histology and/or acquired tumor mutations. This review also provides an information sheet for primary adult glioma patients and their families.
Longer genotypically-estimated leukocyte telomere length is associated with increased adult glioma risk

Oncotarget | December 31, 2015 | Volume: 6 | Issue: 40 | Pages: 42468-42477

10.18632/oncotarget.6468 | PMID 26646793

A Heritable Missense Polymorphism in CDKN2A Confers Strong Risk of Childhood Acute Lymphoblastic Leukemia and Is Preferentially Selected during Clonal Evolution

Cancer Research | November 2, 2015 | Volume: 75 | Issue: 22 | Pages: 4884-4894

10.1158/0008-5472.can-15-1105 | PMID 26527286

Abstract Genome-wide association studies (GWAS) have identified SNPs in six genes that are associated with childhood acute lymphoblastic leukemia (ALL). A lead SNP was found to occur on chromosome 9p21.3, a region that is deleted in 30% of childhood ALLs, suggesting the presence of causal polymorphisms linked to ALL risk. We used SNP genotyping and imputation-based fine-mapping of a multiethnic ALL case–control population (Ncases = 1,464, Ncontrols = 3,279) to identify variants of large effect within 9p21.3. We identified a CDKN2A missense variant (rs3731249) with 2% allele frequency in controls that confers three-fold increased risk of ALL in children of European ancestry (OR, 2.99; P = 1.51 × 10−9) and Hispanic children (OR, 2.77; P = 3.78 × 10−4). Moreover, of 17 patients whose tumors displayed allelic imbalance at CDKN2A, 14 preferentially retained the risk allele and lost the protective allele (PBinomial = 0.006), suggesting that the risk allele provides a selective advantage during tumor growth. Notably, the CDKN2A variant was not significantly associated with melanoma, glioblastoma, or pancreatic cancer risk, implying that this polymorphism specifically confers ALL risk but not general cancer risk. Taken together, our findings demonstrate that coding polymorphisms of large effect can underlie GWAS “hits” and that inherited polymorphisms may undergo directional selection during clonal expansion of tumors. Cancer Res; 75(22); 4884–94. ©2015 AACR.
Survival and low-grade glioma: the emergence of genetic information

Neurosurgical Focus | January 1, 2015 | Volume: 38 | Issue: 1 | Pages: E6

10.3171/2014.10.focus12367 | PMID 25552286

Significant gaps exist in our understanding of the causes and clinical management of glioma. One of the biggest gaps is how best to manage low-grade (World Health Organization [WHO] Grade II) glioma. Low-grade glioma (LGG) is a uniformly fatal disease of young adults (mean age 41 years), with survival averaging approximately 7 years. Although LGG patients have better survival than patients with high-grade (WHO Grade III or IV) glioma, all LGGs eventually progress to high-grade glioma and death. Data from the Surveillance, Epidemiology and End Results (SEER) program of the National Cancer Institute suggest that for the majority of LGG patients, overall survival has not significantly improved over the past 3 decades, highlighting the need for intensified study of this tumor. Recently published research suggests that historically used clinical variables are not sufficient (and are likely inferior) prognostic and predictive indicators relative to information provided by recently discovered tumor markers (e.g., 1p/19q deletion and IDH1 or IDH2 mutation status), tumor expression profiles (e.g., the proneural profile) and/or constitutive genotype (e.g., rs55705857 on 8q24.21). Discovery of such tumor and constitutive variation may identify variables needed to improve randomization in clinical trials as well as identify patients more sensitive to current treatments and targets for improved treatment in the future. This article reports on survival trends for patients diagnosed with LGG within the United States from 1973 through 2011 and reviews the emerging role of tumor and constitutive genetics in refining risk stratification, defining targeted therapy, and improving survival for this group of relatively young patients.
Analysis of 60 Reported Glioma Risk SNPs Replicates Published GWAS Findings but Fails to Replicate Associations From Published Candidate‐Gene Studies

Genetic Epidemiology | January 1, 2013 | Volume: 37 | Issue: 2 | Pages: 222-228

10.1002/gepi.21707 | PMID 23280628

Genomewide association studies (GWAS) and candidate‐gene studies have implicated single‐nucleotide polymorphisms (SNPs) in at least 45 different genes as putative glioma risk factors. Attempts to validate these associations have yielded variable results and few genetic risk factors have been consistently replicated. We conducted a case‐control study of Caucasian glioma cases and controls from the University of California San Francisco (810 cases, 512 controls) and the Mayo Clinic (852 cases, 789 controls) in an attempt to replicate previously reported genetic risk factors for glioma. Sixty SNPs selected from the literature (eight from GWAS and 52 from candidate‐gene studies) were successfully genotyped on an Illumina custom genotyping panel. Eight SNPs in/near seven different genes (TERT, EGFR, CCDC26, CDKN2A, PHLDB1, RTEL1, TP53) were significantly associated with glioma risk in the combined dataset (P < 0.05), with all associations in the same direction as in previous reports. Several SNP associations showed considerable differences across histologic subtype. All eight successfully replicated associations were first identified by GWAS, although none of the putative risk SNPs from candidate‐gene studies was associated in the full case‐control sample (all P values > 0.05). Although several confirmed associations are located near genes long known to be involved in gliomagenesis (e.g., EGFR, CDKN2A, TP53), these associations were first discovered by the GWAS approach and are in noncoding regions. These results highlight that the deficiencies of the candidate‐gene approach lay in selecting both appropriate genes and relevant SNPs within these genes.