Citations

Clear

89 citation(s) found for "Aldape, Kenneth".

Intercellular adhesion molecule 1 links glioblastoma biology to a scalable prognostic model integrating clinical, imaging, and molecular features
Gandhi, Shreya, Ocaña-Tienda, Beatriz , Bettencourt, Manuel M., Singh, O, Devaraja, Kaviya , Irish, Emily R., Molina-García, David , Karimi, Shirin, Sosa, Julio , McIntyre, Ian, Gao, Andrew , Ramos-González, Ana, Asenjo, Beatriz , Flores-Rial, María Pino, Aldape, Kenneth , Santos, Carlos, Velásquez, Carlos, Mansouri, Alireza, Zadeh, Gelareh, Singh, Olivia S, Pérez-Beteta, Julián , Asenjo, Beatriz , Sánchez-Gómez, Pilar , Aldape, Kenneth D, Santos, Carlos , Mansouri, Alireza , Zadeh, Gelareh , Mansouri, Sheila , Mamatjan, Yasin , Hernández‐Laín, Aurelio , Drummond, Katharine Jann , Parney, Ian F. , Velásquez, Carlos , Mansouri, Alireza , Pérez‐García, Víctor M. , Mansouri, Sheila

Mayo Clinic

Neuro-Oncology Advances | July 10, 2026 | Volume: 8 | Issue: 1 | Pages: No page available

10.1093/noajnl/vdag182 | PMID 42553785 Get It

Abstract Background Glioblastoma (GB) exhibits marked tumor microenvironmental heterogeneity, contributing to both therapy resistance and poor survival outcomes. Intercellular adhesion molecule 1 (ICAM1) is an inflammation-associated adhesion molecule implicated in immune-stromal interactions, but its clinical and biological significance in GB remains incompletely defined. Methods We performed ICAM1 immunohistochemistry, bulk RNA sequencing, DNA methylation analysis, single-nucleus RNA sequencing, and preoperative MRI-derived morphologic feature analysis across multi-institutional cohorts of treatment-naïve IDH-wildtype GB. Results High ICAM1 expression at both transcript and protein levels is associated with shorter overall survival, particularly within the mesenchymal transcriptional subtype. ICAM1 expression is inversely associated with promoter methylation. Single-nucleus RNA-sequencing analysis shows that ICAM1-high tumors are enriched for mesenchymal, hypoxia, stress-associated, and immunosuppressive myeloid programs, suggesting that ICAM1 reflects a multicompartment inflammatory tumor ecosystem. ICAM1 expression, tumor surface irregularity, and patient age are independently prognostic and minimally correlated, capturing complementary clinical, imaging, and molecular features of GB biology. When combined, our Clinical-Imaging-Molecular (CIM) framework refines outcome prediction across independent GB cohorts using routinely available clinical data, conventional imaging, and standard immunohistochemistry. Conclusions ICAM1 characterizes an immune-remodeled, stress-adapted GB ecosystem associated with poor clinical outcomes. Integrating patient age, surface irregularity, and ICAM1 expression yields a scalable and clinically accessible prognostic framework for GB, supporting tailored outcome prediction, particularly in low- and middle-resource settings without routine access to advanced molecular profiling.
ID #650 Learning From Every Rare Case: The Early Impact of an International Pediatric Rare Brain Tumor Board
Lovell, Hope, Vezina, Gilbert, Aquilina, Kristian, Hwang, Eugene, Packer, Roger, Quezado, Martha, Hoff, Katja von, Daggett, Jessica , Sickler, Alex , Babaei, Aylar , Di, Chao, Aldape, Kenneth, Fonseca, Adriana, Wu, Cheng–Chia , Aquilina, Kristian , Hwang, Eugene , Packer, Roger, Quezado, Martha , Rokita, Jo Lynne , Gojo, Johannes , Fonseca, Adriana

Mayo Clinic

Neuro-Oncology Pediatrics | June 24, 2026 | Volume: 2 | Issue: Supplement_1 | Pages: No page available

10.1093/neuped/wuag026.259 Get It

Abstract Background Rare pediatric and young adult brain tumors pose major diagnostic and therapeutic challenges due to limited evidence and scattered expertise. The International Rare Brain Tumor Board was established to enable multidisciplinary case review, shared learning, and collaborative decision support. Methods Launched in February 2025, the Rare Brain Tumor Board is a monthly collaborative initiative led by Children’s National Hospital and the National Institutes of Health (NIH). Close partnership with the European Pediatric Rare CNS Tumor Board enhances transatlantic exchange and alignment of diagnostic and treatment recommendations. De-identified cases are presented with clinical history, neuroimaging, histopathology, and molecular profiling, including DNA methylation classification, available for the majority of cases. Sessions are structured to support integrated diagnosis and evidence-informed management recommendations through multidisciplinary discussion (neuropathology, neuroradiology, neurosurgery, radiation oncology, and pediatric as well as adult neuro-oncology). Findings Since its inception, 12 sessions have been held averaging 138 participants per session, reviewing a total of 32 cases (mean 3 cases/session; range 1–4) from 7 different countries and 3 different continents. Entities reviewed include DICER1-intracranial sarcoma (n = 5), astroblastoma (n = 4), FOXR2-activated neuroblastoma (n = 4), CNS tumors with BCOR internal tandem duplication (n = 3) and, BCOR-fused tumors (n = 3), CIC-rearranged-sarcoma (n = 3), intracranial mesenchymal tumor FET::CREB fusion positive (n = 3), MN1::PATZ1 fusion tumors (n = 2), undifferentiated sarcoma (n = 2), PLAG1-fusion tumor (n = 1), medullomyoblastoma (n = 1), and EZHIP-altered diffuse midline glioma (DMG) (n = 1). Multidisciplinary review has supported diagnostic clarification, strengthened familiarity with ultra-rare entities, and informed real-world treatment discussions in settings where prospective data are limited. Discussions have also increased awareness of rare brain tumor registries and opportunities for systematic case capture. Conclusion An international multidisciplinary rare brain tumor board is a feasible, scalable model to advance integrated diagnosis and collaborative management of ultra-rare pediatric and young adult brain tumors, while building a shared knowledge base across institutions.
ID #330 CNS tumor type prevalence according to age group: an analysis of 21,000 cases confirmed by methylation profiling, with a focus on adolescents and young adults
Fonseca, Adriana, Yefet, Leeor, Singh, Omkar, Dampier, Christopher, Dazelle, Karen , Lam, Michelle , Abdullaev, Zied , Chung, Hye-Jung, Quezado, Martha, Raffeld, M, Gagan, Jeffrey, Lee, Ina, Nasrallah, MacLean, Bennett, Julie, Bouffet, Eric, Poria, Dipak, Wesseling, Pieter, Bent, Martin Van den, Wen, Patrick, Varlet, Pascale, Tauziède-Espariat, Arnault, Cristiane, Ida, Zadeh, G Z, Aldape, Kenneth, Fonseca, Adriana , Yefet, Leeor S. , Singh, Omkar , Dampier, Christopher H. , Chung, Hye‐Jung, Quezado, Martha , Raffeld, Mark , Gagan, Jeffrey , Bouffet, Éric , Wesseling, Pieter , Bent, Martin J. van den , Varlet, Pascale , Tauziède-Espariat, Arnault , Ida, Cristiane M.

Mayo Clinic

Neuro-Oncology Pediatrics | June 24, 2026 | Volume: 2 | Issue: Supplement_1 | Pages: No page available

10.1093/neuped/wuag026.102 Get It

Abstract Background Approximately 12,000 adolescents and young adults (ages 15-39, AYAs) are diagnosed with a primary central nervous system (CNS) tumor each year. DNA methylation profiling has transformed CNS tumor classification by refining diagnostic accuracy and identifying biologically distinct subtypes, but its application has not been systematically evaluated in the AYA population. In this study, we examined the spectrum of CNS tumor types across age groups, with a focus on the AYA population. Methods We assembled a large dataset of CNS tumor samples with age annotations and methylation profiles matching with high confidence to a CNS tumor type using the NCI/Bethesda classifier. Prevalence of tumor type, methylation class and DNA copy number aberrations were compared across age strata (pediatric, AYA and adult). Results The cohort of 21,099 CNS tumors included 5139 tumors from AYAs (24%), which showed a mixed pattern, with tumors typical of childhood (e.g. medulloblastoma) as well as those common in older adults (e.g. glioblastoma). Several tumor types were specifically enriched in the AYA, including IDH-mutant astrocytoma, pleomorphic xanthoastrocytoma, posterior fossa group B ependymoma, and diffuse hemispheric glioma, H3 G34-mutant, among others. Distinct methylation subclasses of multiple tumor types were observed in the AYA, and patterns of genomic aberrations showed age-specific distributions. Conclusion Large-scale methylation profiling revealed unique classification patterns of CNS tumors in AYAs, with specific tumor types, subclasses, and genomic alterations enriched in this population. These data may serve as a valuable reference resource for better understanding the spectrum of CNS tumors affecting AYA patients.
Nearest‐neighbors assisted unsupervised analysis for methylation array profiling for central nervous system tumors
Gandham, Mallika , Dasari, Surendra, Marcou, Cherisse, Smoley, Stephanie , Isaacson, Matthew , Giannini, Caterina , Vaubel, Rachael A. , Vizcaíno, M. Adelita , Nguyen, Aivi T. , Trejo‐Lopez, Jorge , Aldape, Kenneth, Raghunathan, Aditya , Vaubel, Rachael A , Villalobos, M Adelita Vizcaino , Nguyen, Aivi T , Trejo-Lopez, Jorge A , Ida, Cristiane M , Giannini, Caterina , Dasari, Surendra, Marcou, Cherisse A. , Raghunathan, Aditya , Ida, Cristiane M.

Mayo Clinic

Brain Pathology | June 18, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1111/bpa.70117 | PMID 42315094 Get It

BRAF-altered glioma in adults and children: A Society for Neuro-Oncology (SNO) and European Society for Neuro-Oncology (EANO) consensus review on clinical management and future directions
Schreck, Karisa C, Fuente, Macarena I de la, Fat, Mary Jane Lim, Maas, S L, Levy, Jean M Mulcahy, Lombardi, G , Perrault, Sébastien, Petritsch, Claudia , Aldape, Kenneth, Chang, Susan M, Holdhoff, Matthias, Kazda, Tomas, Rhun, Emilie Le, Minniti, Giuseppe, Mueller, Sabine, Preusser, M, Smits, Marion, Weller, Michael, Wen, Patrick Y, Bent, Martin van den, Geurts, Marjolein, Lombardi, Giuseppe , Maas, Sybren L. N. , Schreck, Karisa C. , Levy, Jean M. Mulcahy , Chang, Susan M. , Duerinck, Johnny , Holdhoff, Matthias , Kazda, Tomáš , Rhun, Émilie Le , Minniti, Giuseppe , Mishra, Mark V. , Mueller, Sabine , Padovan, Marta , Preusser, Matthias , Smits, Marion , Weller, Michael , Bent, Martin J. van den , Geurts, Marjolein

Mayo Clinic

Neuro-Oncology | June 5, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/neuonc/noag135 | PMID 42261252 Get It

Abstract Oncogenic BRAF alterations occur in a subset of diffuse gliomas across WHO grades and are increasingly identified through modern molecular diagnostics. In addition to standard glioma therapies, targeted treatments are available for patients with BRAF-altered glioma supported by variable evidence spanning randomized trials, single-arm studies, and real-world evidence. This joint consensus review from the Society for Neuro-Oncology (SNO) and the European Association of Neuro-Oncology (EANO) synthesizes current knowledge on the diagnosis and management of BRAF-altered gliomas across age groups, tumor grades, and lines of therapy. Particular emphasis is placed on expert consensus in clinical scenarios where high-quality trial evidence remains limited. The review addresses rationale testing for BRAF alterations, selection, and monitoring of targeted therapies, management of treatment-related toxicities, approaches to resistance, and priorities for future research. It aims to provide practical, evidence-based guidance for clinicians while highlighting gaps to inform prospective studies.
cIMPACT-NOW Update 12: Refining pathology-based risk stratification and grading for IDH-mutant gliomas
Brat, Daniel J , Aldape, Kenneth, French, Pim J, Louis, David N, Nasrallah, MacLean P, Reifenberger, G, Reuß, David , Touat, Mehdi, Bent, Martin J van den, Wesseling, Pieter, Figarella-Branger, Dominique, Bent, Martin J. van den , Reifenberger, Guido , Brat, Daniel J. , French, Pim J. , Aldape, Kenneth , French, Pim J , Louis, David N , Nasrallah, MacLean , Reifenberger, Guido , Reuss, David E , Touat, Mehdi , van den Bent, Martin J , Wesseling, Pieter , Figarella-Branger, Dominique , Louis, David N. , Nasrallah, MacLean P. , Wesseling, Pieter , Figarella‐Branger, Dominique

Mayo Clinic

Neuro-Oncology | May 14, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1093/neuonc/noag108 | PMID 42152226 Get It

Abstract A working group of cIMPACT-NOW evaluated the literature on IDH-mutant gliomas for opportunities to improve pathology-based risk stratification and grading, especially at the interface of CNS WHO grades 2 and 3, since therapeutic decisions depend on risk assessment for clinical management. The group also evaluated newly described IDH-mutant glioma subgroups and considered multidisciplinary aspects of therapeutic decision-making. PDGFRA amplification was associated with highly aggressive clinical behavior of IDH-mutant astrocytomas, consistent with CNS WHO grade 4. Other genetic alterations associated with intermediate risk and most consistent with CNS WHO grade 3 included PIK3 mutations; EGFR alteration; MYCN amplification; and specific retinoblastoma pathway alterations, including CDK4, CDK6, and CCND2 amplification, RB1 homozygous deletion or mutation, and mutation of CDKN2A. DNA methylation signatures of G-CIMP-low or A_IDH_HG were consistent with CNS WHO grade 3 or 4, depending upon other grading criteria. We suggest a mitotic count of ≥3 per 2.4 mm2 could be considered as a CNS WHO grade 3 criterion. Our review did not uncover features to improve the grading of oligodendroglioma, IDH-mutant and 1p/19q-codeleted, although CNS WHO grade 3 tumors with elevated mitotic rates, yet lacking necrosis, microvascular proliferation, CDKN2A/B homozygous deletion, and MRI contrast enhancement, may be associated with extended survival. Implementing evidence-based criteria for risk stratification and grading will improve guidance for clinical decision-making.
Modern molecular profiling recontextualizes the NRG/RTOG 0539 trial and reveals hidden high-risk and radiotherapy-resistant meningiomas
Yefet, Leeor S, Landry, Alexander , Rogers, C Leland, WANG, J, Patil, Vikas, Gui, Chloe, Ajisebutu, Andrew, Ellenbogen, Yosef , Wei, Qingxia , Singh, Olivia, Szot, Christopher, Barani, Igor J. , Straza, Michael , Shu, Hui-Kuo G, Hunter, Grant, Panet-Raymond, Valérie , Shi, Wenyin, Kavanagh, Brian D. , Gunter, Tyler, Robinson, Clifford, Pugh, Stephanie L. , Mehta, Minesh P, Chakravarti, Arnab, Nassiri, Farshad, Aldape, Kenneth, Zadeh, G Z, Gui, Chloe , Wang, Justin Z , Liu, Jeff , Gui, Chloe , Ellenbogen, Yosef , Singh, Olivia , Jordan, Richard C , Barani, Igor J , Straza, Michael W , Shu, Hui-Kuo G , Pointer, Kelli B , Hunter, Grant , Panet-Raymond, Valerie , Shi, Wenyin , Perlow, Haley K , Kavanagh, Brian D , Gunter, Tyler , Robinson, Clifford , Dicker, Adam P , Mehta, Minesh P , Chakravarti, Arnab , Aldape, Kenneth , Zadeh, Gelareh , Yefet, Leeor S. , Rogers, C. Leland, Wang, Justin Z. , Patil, Vikas , Ajisebutu, Andrew, Mansouri, Sheila , Shi, Wenyin , Perlow, Haley K. , Gunter, Tyler C., Dicker, Adam P. , Mehta, Minesh P. , Chakravarti, Arnab , Nassiri, Farshad

Mayo Clinic

Neuro-Oncology | May 14, 2026 | Volume: 28 | Issue: 7 | Pages: 1727-1740

10.1093/neuonc/noag081 | PMID 42143623 Get It

Abstract Background Meningiomas exhibit clinical heterogeneity. Radiotherapy (RT) remains the only adjuvant therapy, but tumor-control is variable, and biomarkers are limited. NRG/RTOG-0539 is the first prospective phase 2 trial to stratify meningioma patients for adjuvant RT based on clinical risk. Here, we apply modern molecular tools to this cohort and identify correlates of RT response. Methods Tumor tissue from 100 RTOG-0539 patients was profiled using DNA methylation arrays, RNA sequencing, and whole-exome sequencing. Recurrence scores, Molecular Groups, gene expression, and copy number alterations were compared across clinical groups and between RT responders and non-responders; non-response was defined as progression or death within 3 years. Results Modern grading criteria, including brain invasion, TERT mutation, CDKN2A/B deletion, and 1p/1q status, would reclassify 10% of tumors and alter treatment group assignment in 7%. Non-responders to RT exhibited more frequent 1p and 14q loss, and more copy number alterations. Transcriptomic and epigenetic profiling revealed immune-related signatures in responders and cell cycle–related pathways in non-responders, several of which overlapped with targets of vorinostat, a histone deacetylase inhibitor previously validated in aggressive meningioma models. The Proliferative Molecular Group was an independent predictor of post-RT recurrence in multivariable analysis, outperforming WHO grade. Conclusion Multi-omic analysis of the NRG/RTOG-0539 cohort shows that updated WHO grading criteria, incorporating molecular and cytogenetic features, improve risk stratification. However, molecular classification, particularly the Proliferative group, remains an independent and stronger predictor of RT response. These findings support integrating molecular biomarkers alongside modern grading frameworks to guide treatment and trial design in meningioma. Clinical Trial Information NCT00895622.
DNA methylation profiling in central nervous system tumours
Ellenbogen, Yosef , Essibayi, Muhammed Amir , Yefet, Leeor S, Landry, Alexander , Ajisebutu, Andrew, Gui, Chloe, Persaud, Phooja, Nassiri, Farshad, Aldape, Kenneth, Zadeh, Gelareh, Zadeh, Gelareh , Essibayi, Muhammed Amir , Ellenbogen, Yosef , Yefet, Leeor S. , Nassiri, Farshad , Zadeh, Gelareh

Mayo Clinic

Journal of Neurology, Neurosurgery & Psychiatry | April 15, 2026 | Volume: No volume available | Issue: No issue available | Pages: jnnp-2025-337691

10.1136/jnnp-2025-337691 | PMID 41986055 Get It

The classification and management of central nervous system (CNS) tumours have undergone substantial transformation over the past two decades, with the recognition of an expanding set of molecularly defined disease entities. Genome-wide DNA methylation profiling has emerged as an important complement to histopathology and targeted molecular testing, providing an epigenetic framework that captures tumour lineage, biological state and large-scale genomic alterations within a single assay. Accumulating evidence demonstrates that methylation-based approaches improve diagnostic precision, resolve biologically heterogeneous entities and support clinically meaningful risk stratification across a broad spectrum of CNS tumours. Methylation profiling has also increasingly been applied to outcome prediction, liquid biopsy-based analyses and the resolution of diagnostically challenging or misclassified cases. In addition, advances in multi-omic integration, computational inference from routinely acquired clinical data and evolving implementation frameworks are extending the clinical applicability of epigenetic profiling. This review synthesises the current state of DNA methylation profiling within the diagnostic and clinical framework of CNS tumours and considers how emerging technologies and practice models are shaping its ongoing integration into neuro-oncological care.
CNS tumor type prevalence according to age group: An analysis of 21 000 cases confirmed by methylation profiling, with a focus on adolescents and young adults
Fonseca, Adriana , Yefet, Leeor, Singh, Omkar , Dampier, Christopher H. , Dazelle, Karen , Lam, Michelle , Abdullaev, Zied , Chung, Hye‐Jung, Quezado, Martha, Raffeld, Mark , Lee, Ina, Nasrallah, MacLean, Bennett, Julie, Bouffet, Eric, Poria, Dipak, Wesseling, Pieter, Bent, Martin van den, Wen, Patrick Y, Varlet, Pascale, Tauziède-Espariat, Arnault, Zadeh, Gelareh, Aldape, Kenneth, Singh, Omkar , Dampier, Christopher H , Quezado, Martha , Gagan, Jeffrey , Lee, Ina , Nasrallah, MacLean , Bennett, Julie , Bouffet, Eric , Poria, Dipak , Wesseling, Pieter , van den Bent, Martin J , Wen, Patrick Yung , Varlet, Pascale , Tauziède-Espariat, Arnault , Ida, Cristiane M , Zadeh, Gelareh , Aldape, Kenneth , Yefet, Leeor S. , Gagan, Jeffrey , Nasrallah, MacLean P. , Bouffet, Éric , Wesseling, Pieter , Bent, Martin J. van den , Ida, Cristiane M. , Zadeh, Gelareh

Mayo Clinic

Neuro-Oncology | April 11, 2026 | Volume: 28 | Issue: 7 | Pages: 1808-1820

10.1093/neuonc/noag082 | PMID 41978543 Get It

Abstract Background Approximately 12 000 adolescents and young adults (ages 15-39, AYAs) are diagnosed with a primary central nervous system (CNS) tumor each year. DNA methylation profiling has transformed CNS tumor classification by refining diagnostic accuracy and identifying biologically distinct subtypes, but its application has not been systematically evaluated in the AYA population. In this study, we examined the spectrum of CNS tumor types across age groups, with a focus on the AYA population. Methods We assembled a large dataset of CNS tumor samples with age annotations and methylation profiles matching with high confidence to a CNS tumor type using the NCI/Bethesda classifier. Prevalence of tumor type, methylation class and DNA copy number aberrations were compared across age strata (pediatric, AYA, and adult). Results The cohort of 21 712 CNS tumors included 5351 tumors from AYAs (25%), which showed a mixed pattern, with tumors typical of childhood (eg, medulloblastoma) as well as those common in older adults (eg, glioblastoma). Several tumor types were specifically enriched in the AYA, including IDH-mutant astrocytoma, pleomorphic xanthoastrocytoma, posterior fossa group B ependymoma, and diffuse hemispheric glioma, H3 G34-mutant, among others. Distinct methylation subclasses of multiple tumor types were observed in the AYA, and patterns of genomic aberrations showed age-specific distributions. Conclusion Large-scale methylation profiling revealed unique classification patterns of CNS tumors in AYAs, with specific tumor types, subclasses, and genomic alterations enriched in this population. These data may serve as a valuable reference resource for better understanding the spectrum of CNS tumors affecting AYA patients.
Abstract A057: High-grade astrocytoma with piloid features: a clinical and genomic analysis of prognostic factors using a large cohort
Zhang, Shuodan , Singh, Omkar, Dazelle, Karen , co-authors, HGAP manuscript, Aldape, Kenneth, Singh, Omkar

Mayo Clinic

Cancer Research | March 23, 2026 | Volume: 86 | Issue: 6_Supplement | Pages: A057-A057

10.1158/1538-7445.brain26-a057 Get It

Abstract Background: High-grade astrocytoma with piloid features (HGAP) is a recently defined tumor type that is not well-understood. Prognostic factors of clinical outcome are not well-established. Methods: Samples were processed at the National Cancer Institute (NCI) Laboratory of Pathology, and published samples were included (n=421). Methylation classifier scores of ≥0.90 to the HGAP class on the NCI-Bethesda classifier were included. Clinical features were collected from the medical record. Kaplan-Meier survival analysis as well as Cox-proportional hazards was performed. Results: The cohort comprised 421 patients. There was a high rate of ATRX alteration (62%), CDKN2A/B loss (78%) and MGMT promoter methylation (53%). MAPK alterations were identified in 74% of samples. The median age was 46 years, and posterior fossa location was predominant (52%). The median overall survival (OS) was 88 months. Older age (p = 0.01) and the presence of an ATRX alteration (p = 0.04) were found to be poorly prognostic. The presence of cystic features on magnetic resonance imaging (MRI) was found to be favorably prognostic (p = 0.01). Factors that were not significantly associated with survival included histologic anaplasia, CDKN2A/B homozygous deletion, MGMT promoter methylation and surgery type. Conclusions: Utilizing a relatively large cohort of HGAP cases, this work establishes relative frequencies of several important markers, and additionally suggests older age, the presence of an ATRX alteration, and cystic features on MRI as prognostic. Our work may aid in identifying treatment regiments for patients with this tumor type. Citation Format: Shuodan Zhang, Omkar Singh, Karen Dazelle, HGAP manuscript co-authors, Kenneth Aldape. High-grade astrocytoma with piloid features: a clinical and genomic analysis of prognostic factors using a large cohort [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Brain Cancer; 2026 Mar 23-25; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2026;86(6_Suppl):Abstract nr A057.