bluuebunny/crossref_metadata_2025_split huggingface dataset:
PATH-26. MIDLINE INVOLVEMENT IS ASSOCIATED WITH ABERRANT RB1 SIGNALING IN PATIENTS WITH GRADE 4 IDH-MUTANT ASTROCYTOMA
Authors: Maqbool Muhammad Asad , Jenkins Robert B , Ida Cristiane M , Burns Terence C , Kizilbash Sani H 
Published: November 2024

Abstract

BACKGROUND
The prognostic factors impacting the survival of grade 4 IDH-mutant astrocytoma treated with standard radiation/temozolomide are not well-described.

METHODS
A retrospective cohort was generated of all patients diagnosed at Mayo Clinic with grade 4 IDH-mutant astrocytoma (2021 WHO Classification) on initial diagnosis between 2002-2023, and who received standard radiation/temozolomide. The impact of patient, tumor and molecular variables on overall survival (OS) and progression-free survival (PFS) was evaluated using survival analyses and Cox regression models.

RESULTS
Fifty-eight patients were identified. The median age was 36 years, 64% were male and 93% were white. The median follow up was 3.3 years. The median OS and PFS were 6.9 years and 2.4 years, respectively. CDKN2A/B homozygous deletion significantly reduced both OS (2.5 years vs NR, HR=3.9, p=0.0168) and PFS (1.4 vs 4.5 years, HR=4.2, p=0.0005). Midline involvement (brainstem, basal ganglia, thalamus, cerebellum or corpus callosum) also significantly reduced both OS (2.4 vs 12.8 years, HR=7.0, p=0.0014) and PFS (1.4 vs 4.5 years, HR=4.8, p=0.0002). MGMT promoter hypermethylation showed a trend toward significance for PFS (p=0.082) but did not impact OS. Age, sex, tumor size, ATRX immunohistochemistry and tumor-treating field therapy did not impact survival outcomes. Multivariable analyses revealed that PFS remained significantly impacted by both CDKN2A/B homozygous deletion (HR=3.5, p=0.0051) and midline involvement (HR=3.1, p=0.0125). A significant association between CDKN2A/B homozygous deletion and midline involvement was unexpectedly observed (53% if midline, 24% if non-midline; χ2=4.3, p=0.037). Exploratory analyses revealed that 15/15 (100%) of patients with midline involvement demonstrated aberration in RB1 signaling (CDKN2A/B homozygous deletion, n=8; CDKN2A/B hemizygous deletion or loss of heterozygosity, n=6; CDK4 amplification, n=1).

CONCLUSION
CDKN2A/B homozygous deletion and midline involvement independently impact PFS in patients with grade 4 IDH-mutant astrocytoma treated with standard radiation/temozolomide. Furthermore, midline involvement may be associated with aberrant RB1 signaling.
PATH-29. LONGITUDINAL EPIGENOMIC EVOLUTION OF IDH-WILDTYPE GLIOBLASTOMA
Authors: Al-Adli Nadeem N , Young Jacob S , Lucas Calixto-Hope G , Gupta Rohit , Morshed Ramin A , Wu Jasper , Ravindranathan Ajay , Shai Anny , Bush Nancy Ann Oberheim , Taylor Jennie W , de Groot John , Villanueva-Meyer Javier , Pekmezci Melike , Perry Arie , Bollen Andrew W , Theodosopoulos Philip V , Aghi Manish K , Chang Edward F , Hervey-Jumper Shawn L , Raleigh David R , Diaz Aaron A , Costello Joseph F , Clarke Jennifer L , Butowski Nicholas , Phillips Joanna J , Chang Susan M , Berger Mitchel S , Solomon David A 
Published: November 2024

Abstract
Glioblastoma, IDH-wildtype remains a molecularly heterogeneous disease that is refractory to current therapies. To investigate how longitudinal epigenomic evolution of glioblastoma drives tumor progression and treatment resistance, we performed comprehensive histopathologic assessment, targeted genomic sequencing, and genome-wide DNA methylation profiling of paired initial and recurrent IDH-wildtype glioblastoma samples from 98 patients, as well as a separate longitudinal cohort of IDH-mutant astrocytomas for comparison. Primary treatment-naïve IDH-wildtype glioblastomas had more globally hypomethylated genomes compared to primary IDH-mutant astrocytomas. At time of recurrence, IDH-mutant astrocytomas uniformly became more hypomethylated similar to the global methylation levels in IDH-wildtype glioblastomas. In contrast, recurrent IDH-wildtype glioblastomas were heterogeneous with subsets becoming more globally hypermethylated (27%), hypomethylated (22%), or remaining stable (51%). Accordingly, a substantial proportion (52%) of recurrent glioblastomas underwent methylation class switching compared to their matched primary tumor, with a predominance of the RTK2 epigenetic subtype at initial surgery and the Mesenchymal epigenetic subtype at recurrence. Among approximately 850,000 interrogated CpG sites, we identified only 110 and 153 sites that consistently became more hypermethylated or hypomethylated between initial and recurrent IDH-wildtype glioblastomas, which regulate genes involved in neuronal morphogenesis, oligodendrocyte differentiation, and myelination. In contrast, we identified 260 and 18,527 CpG sites that consistently became more hypermethylated or hypomethylated between initial and recurrent IDH-mutant astrocytomas, which regulate genes involved in neuronal stem-like differentiation, cell cycle control, and other biologic processes. Finally, we developed a DNA methylation evolution signature incorporating change in mean beta-methylation values from initial to recurrent tumor specimens across 347 critical CpG sites that significantly correlated with clinical outcomes for patients with IDH-wildtype glioblastoma. In summary, IDH-wildtype glioblastomas demonstrate heterogeneous epigenomic evolution patterns distinct from IDH-mutant astrocytomas. These changes in epigenetic patterns may identify unique subgroups of glioblastoma with differential treatment response and inform future therapeutic studies targeting differentially methylated gene programs.
PATH-30. CLINICAL OUTCOMES AND PREDICTIVE BIOMARKERS FOR IDH-WILDTYPE GLIOBLASTOMAS DEVELOPING HYPERMUTATION FOLLOWING TEMOZOLOMIDE TREATMENT
Authors: Young Jacob , Lucas Calixto-Hope , Al-Adli Nadeem , Gupta Rohit , Morshed Ramin , Wu Jasper , Ravindranathan Ajay , Shai Anny , Oberheim-Bush Nancy Ann , Taylor Jennie , de Groot John , Villanueva-Meyer Javier , Pekmezci Melike , Perry Arie , Bollen Andy , Theodosopoulos Philip , Aghi Manish , Chang Edward , Hervey-Jumper Shawn , Raleigh David , Diaz Aaron , Costello Joseph , Clarke Jennifer , Butowski Nicholas , Phillips Joanna , Chang Susan , Berger Mitchel , Solomon David 
Published: November 2024

Abstract
Current standard of care for IDH-wildtype glioblastoma (GBM) includes maximal safe resection, adjuvant radiation, and chemotherapy with the alkylating agent temozolomide. A subset of gliomas treated with temozolomide develop somatic hypermutation with a predominance of C&gt;T transitions due to the alkylation effects on DNA. However, the frequency of occurrence, clinical ramifications, and predictive biomarkers for developing temozolomide-induced hypermutation (TMZ-HM) in GBM are unknown. Here we performed comprehensive histopathologic, genomic, and epigenomic evaluation of paired initial and recurrent GBM from 106 patients. Seven patients (7%) developed hypermutation at time of first recurrence, while an additional five patients (5%) developed hypermutation at a subsequent recurrence. Patients who developed TMZ-HM had a significantly longer interval between initial surgery and first recurrence (27.8 vs. 9.9 months, p&lt;0.001). In contrast to IDH-mutant gliomas where TMZ-HM is associated with poor prognosis, those patients with IDH-wildtype GBM who developed TMZ-HM had significantly longer overall survival from both initial surgery (67.9 vs. 20.3 months, p&lt;0.001) and from time of recurrence after development of hypermutation (30.9 vs. 9.5 months, p=0.001). There was no difference in oncogenic alteration frequency in initial GBM that subsequently developed TMZ-HM. However, 4 specific CpG sites out of 12 total interrogated sites in the promoter region of MGMT (a DNA repair enzyme) and 5 specific CpG sites in the promoter region of KCNQ1DN (a negative regulator of c-Myc) were significantly more hypermethylated in those GBM that developed TMZ-HM. We then generated a weighted risk score across these CpG sites that can be used to prospectively identify GBM likely to develop TMZ-HM associated with favorable survival. In summary, patients with GBM that develop TMZ-HM follow a more favorable clinical course, and specific MGMT and KCNQ1DN promoter hypermethylation patterns could serve as a biomarker to identify these patients who may potentially benefit from extended alkylating chemotherapy treatment.
PATH-35. INTEGRATED GENOMIC ANALYSES OF IMMUNODEFICIENCY-ASSOCIATED EPSTEIN-BARR VIRUS- (EBV) POSITIVE PRIMARY CNS LYMPHOMAS
Authors: Kaulen Leon D , Denisova Evgeniya , Hinz Felix , Hai Ling , Friedel Dennis , Henegariu Octavian , Hoffmann Dirk C , Ito Jakob , Kourtesakis Alexandros , Lehnert Pascal , Doubrovinskaia Sofia , Karschnia Philipp , von Baumgarten Louisa , Kessler Tobias , Baehring Joachim M , Brors Benedikt , Sahm Felix , Wick Wolfgang 
Published: November 2024

Abstract
Immunodeficiency-associated primary CNS lymphoma (PCNSL) represents a distinct clinicopathological entity, which is typically Epstein-Barr virus positive (EBV+) and carries an inferior prognosis. Genetic alterations that characterize EBV related CNS lymphomagenesis remain unclear precluding molecular classification and targeted therapies. In this study, a comprehensive genetic analysis of 22 EBV+ PCNSL, integrated clinical and pathological information with exome and RNA sequencing (RNASeq) data. Deconvolution of bulk RNA sequencing data was performed using CIBERSORTx to characterize the tumor microenvironment. EBV+ PCNSL with germline controls carried a median of 55 protein-coding single nucleotide variants (SNVs; range 24-217) and 2 insertions/deletions (range 0-22). Genetic landscape was largely shaped by aberrant somatic hypermutation with a median of 41.01% (range 31.79-53.49%) of SNVs mapping to its target motifs. Tumors lacked established SNVs (MYD88, CD79B, PIM1) and copy number variants (CDKN2A, HLA loss) driving EBV negative PCNSL. Instead, EBV+ PCNSL were characterized by SOCS1 mutations (26%), predicted to disinhibit JAK/STAT signaling, and mutually exclusive gain-of-function NOTCH pathway SNVs (26%). Copy number gains were enriched on 11q23.3, a locus directly targeted for chromosomal aberrations by EBV, that includes SIK3 known to protect from cytotoxic T-cell responses. Losses covered 5q31.2 (STING), critical for sensing viral DNA, and 17q11 (NF1). Unsupervised clustering of RNASeq data revealed two distinct transcriptional groups, that shared strong expression of CD70 and IL1R2, previously linked to tolerogenic tumor microenvironments. Correspondingly, deconvolution of bulk RNASeq data revealed elevated M2-macrophage, T-regulatory cell, mast cell and monocyte fractions in EBV+ PCNSL. In addition to novel insights into the pathobiology of EBV+ PCNSL, the data provide the rationale for the exploration of targeted therapies including JAK-, NOTCH- and CD70-directed approaches.
PATH-50. AI-POWERED AUTOMATED TISSUE SEGMENTATION IMPROVES OUTCOME STRATIFICATION IN GLIOBLASTOMA
Authors: Ayoub Georges , Elharouni Dina , Bossi Connor , Möller Constantin , Malinowski Seth , Japo Julia , Vaidya Anurag Jayant , Zhang Andrew , Shaban Muhammad , Santos Andres , Williamson Drew , Meredith David , Mahmood Faisal , Ligon Keith 
Published: November 2024

Abstract
Glioblastoma displays morphological heterogeneity on routine H&E whole slide images, with conflicting evidence on the reliability of morphological features in predicting tumor behavior and treatment response. However, current standards for assessing morphology and disease status rely on nonquantitative manual evaluation by pathologists, which are prone to inherent variation. We sought to (1) expand the tools available for quantitative assessment and (2) evaluate the utility of this approach in identifying valuable biomarkers. We trained a deep learning-based algorithm using DenseNet on HALO AI platform for automated segmentation of six tissue classes (heavy infiltration, mild infiltration, mesenchymal tissue, geographic necrosis, palisading necrosis, and hemorrhage) on 3232 labeled annotations from 100 whole slide images. Manual pathologists’ estimations from clinical records showed strong correlation with corresponding digital quantifications (p&lt;0.001), and further pixel-wise validation on 828 separate annotations showed high overlap between predicted and ground truth segmentations (precision=0.88, recall= 0.85, F1-score=0.87). We then identified a longitudinal cohort of 115 newly diagnosed glioblastoma tissue paired with the recurrence post-treatment (RT/TMZ), including all 827 H&E whole slide images scanned at 40x. The quantification of longitudinally paired tissue showed a relative increase in geographic necrosis (+62%) and mild infiltration (+110%) and a relative decrease in palisading necrosis (-54%) and heavy infiltration (-35%) between the two timepoints. Patients with rapid clinical progression had more areas of large geographic necrosis (p=0.002), and mesenchymal tissue increase was associated with worse overall survival (p=0.016). Digitally quantified heavy infiltration as a predominant tissue on recurrence outperformed corresponding pathologist estimation of tumor as a predominant tissue on recurrence in stratifying overall-survival (p=0.005 vs p=0.640). Collectively, our AI-powered classifier enables an automated objective quantification of glioblastoma tissue, identifies markers of clinical response, and offers a potential adjunct to enhance routine pathologic reporting of glioblastoma.
PATH-52. DIFFERENCES IN GENE EXPRESSION, GENOME-WIDE METHYLATION AND METABOLITES IN ADULT DIFFUSE GLIOMAS
Authors: Vinocha Anjali , Berdecia Valerie , Wang Daniel , Arjuna Srividya , Shah Mauli , Dono Antonio , Putluri Nagireddy , Esquenazi Yoshua , Ballester Leomar 
Published: November 2024

Abstract
Metabolic reprogramming is a hallmark of cancer, including diffuse gliomas. IDH1 and IDH2 are key enzymes linking cellular metabolism to epigenetic regulation and redox states. IDH1/IDH2 enzymes catalyze the conversion of isocitrate to α-ketoglutarate, while the mutant enzymes increase the production of D-2-hydroxyglutarate, an oncometabolite that induces epigenetic changes, leading to gene expression alterations. Understanding how epigenetic alterations affect metabolic gene expression and metabolite levels in diffuse gliomas could help identify diagnostic biomarkers and therapeutic targets. We studied the expression of metabolism-related genes, metabolites, and genome-wide methylation status, which will facilitate an integral understanding of the metabolic changes in IDH-mutant and IDH-wildtype gliomas. Study design included 47 fresh frozen tissue samples. RNA was extracted and used for gene expression analysis using the NanoString platform (nCounter® Metabolic Pathways Panel), while extracted DNA was used for targeted sequencing with a panel interrogating 600 genes and for genome-wide methylation analysis using the Illumina Epic v2. In addition, unbiased metabolomic analysis by mass spectrometry was performed in 25 tissue and CSF samples out of 47 samples. Methylation status, gene expression and metabolite levels were compared between IDH-mutant and IDH-wildtype gliomas. Results showed significant differences in DNA methylation, gene expression and metabolites between IDH-mutant and IDH-wildtype gliomas. UPP1, an enzyme involved in uracil metabolism, was studied in depth to understand the interplay between DNA methylation, gene expression, and metabolic reprogramming in diffuse glioma. Epigenetic analysis revealed that the CpG sites within the UPP1 gene displayed reduced methylation in IDH wild-type compared to IDH-mutant tumors. IDH wild-type tumors showed higher UPP1 expression compared to their IDH-mutant counterparts. Consequently, we observed higher levels of uracil in tissue and CSF samples from patients with IDH wild-type gliomas. These data provide a framework to study the relationship between mutations, methylation, gene expression and metabolism in diffuse gliomas.
PATH-56. LOSS OF HETEROZYGOSITY OF CDKN2A/B DEFINES AN AGGRESSIVE SUBSET OF RECURRENT, HIGH-GRADE MENINGIOMAS
Authors: Dincer Alper , Ghanekar Shaila , Kocakavuk Emre , Tabor Joanna , Kim Miri , Moliterno Jennifer 
Published: November 2024

Abstract

INTRODUCTION
Loss of heterozygosity (LOH) occurs when one gene allele is lost, leaving the cell with a single functional copy. This genetic alteration drives tumor progression by disabling critical regulatory pathways. Currently, CDKN2A/B homozygous loss is a criterion for WHO Grade 3 meningiomas. However, the impact of CDKN2A/B LOH and other copy-number alterations remains unclear. This study investigates the effects of LOH in the CDKN2A/B tumor suppressor gene on progression-free survival (PFS) and overall survival (OS) in meningiomas.

METHODS
The study included adult patients with sporadic primary or recurrent meningiomas who underwent resection and whole exome sequencing. LOH and copy-number alterations were confirmed on visual inspection of b-allele frequency and mean ratio graphs. Samples of unsuitable quality for evaluation were excluded. CDKN2A/B copy number and LOH were associated with PFS and OS.

RESULTS
The sample included 333 meningiomas (64.6% female [n=215], 18.8% recurrent meningiomas [n=61], and 50 cases of postoperative recurrence [15%]). CDKN2A/B was intact in 88.5% of samples (n=295), while 38 samples (11.4%) exhibited CDKN2A/B LOH. This included homozygous deletions (n=2, 5.2%), heterozygous deletions (n=11, 28.9%), amplifications (n=12, 31.6%), and copy-neutral LOH (n=13, 34.2%). All copy-number alterations were associated with an increased risk of recurrence compared to CDKN2A/B intact samples, so CDKN2A/B LOH was used for subsequent analysis. CDKN2A/B LOH was more frequently associated with prior recurrence (22.9% vs. 8.8%; p=0.004), prior radiation (46% vs. 15.6%; p&lt;0.0001), and WHO Grade 2 and 3 tumors (63.2% vs. 42.7%; p=0.02). CDKN2A/B LOH was associated with worse PFS (HR 3.97 [1.3-11.9]; p=0.01) and worse OS (HR 2.9 [1.03-8.2]; p=0.0429) only in recurrent, high-grade meningiomas, independent of the fraction of the genome altered, mutation count, and Simpson grade. Postoperative radiation therapy did not improve PFS (HR 3.24 [1.06-9.85]; p=0.038).

CONCLUSION
CDKN2A/B LOH is enriched in high-grade, recurrent meningiomas and confers worse PFS and OS despite postoperative radiotherapy. CDKN2A/B LOH is a high-risk biomarker that predicts tumor behavior and patient outcome.
PATH-57. CLINICAL AND MOLECULAR FEATURES OF METHYLATION CLASS DIFFUSE LEPTOMENINGEAL GLIONEURONAL TUMOR
Authors: Dampier Christopher , Singh Omkar , Nasrallah MacLean , Rodriguez Fausto , Eschbacher Jennifer , Morris Meaghan , Abdullaev Zied , Quezado Martha , Pratt Drew , Cimino P J , Aldape Kenneth 
Published: November 2024

Abstract
Genome-wide DNA methylation profiling can help identify rare CNS tumors, including diffuse leptomeningeal glioneuronal tumor (DLGNT). Due to the infrequency of this entity, DLGNT remains poorly understood. To help resolve uncertainty regarding DLGNT, we examined epidemiologic, histologic, and molecular features of 32 (21 newly profiled, 11 publicly available) tumors matching to DLGNT by the DKFZ classifier (v12, score &gt;=0.85). Of these tumors, 25 matched to DLGNT subtype 1 and seven to subtype 2. Subject median age was 12 years in subtype 1 and 22 years in subtype 2 (14.5 overall, range 2-44), with equal numbers of females and males (n=16 each). Spinal cord was the most frequently involved site (n=21), but intracranial lesions were observed (n=6). Leptomeningeal involvement was noted in only four of 11 tumors with available imaging descriptions. In the subset of cases available for histologic review (n=19), oligodendrocyte-like morphology was present in over half (n=11). Microvascular proliferation was uncommon (n=5). Chromosome 1p loss was observed in 29 (91%), and 1p/19q co-deletion was observed in 18 tumors (56%). Gains of 1q and 7q were each observed in 12 (38%), and whole chromosome 7 gain was observed in eight (25%). Loss of 22q was seen in 12 (38%). In the subset of tumors with fusion testing (n=15), KIAA1549::BRAF fusion was present in 12 (80%), and one showed a QKI::RAF1 fusion. Five tumors harbored BRAF mutations, and one harbored a break-point in BRAF without a known fusion partner. In nine subjects with clinical follow-up, there was one death after 3.1 years, and the remaining subjects were alive with a median follow-up of 6.4 years (maximum 19 years). Progression-free survival (PFS) was available for six subjects with a median PFS of 6 years. Presentation of DLGNT without noted leptomeningeal involvement appears common. Further characterization of subject outcomes will help clarify the clinical behavior of DLGNT.
PATH-62. CORRELATES OF NEURAL SIGNALING ELUCIDATE SURVIVAL BENEFIT IN GLIOMAS
Authors: Rampalli Ihika , Katlowitz Kalman , McDonald Malcolm , English Collin , Diab Nabeel , Perry Zachary , Jalali Ali , Rao Ganesh , Deneen Benjamin , Mandel Jacob 
Published: November 2024

Abstract
Recent literature has highlighted neural signaling markers (SM) as drivers for synaptogenesis, invasion, and proliferation in gliomas. Further work on elucidating key mutations can provide improved prognostication and potential treatment targets. Our objective is to identify correlates of neural signaling in relation to glioma histopathology and patient outcomes. We used a combination of bulk RNA sequencing (RNA-seq) and a DNA gene panel (DPG) by Tempus next-generation sequencing. Differential gene expression (DGE) was performed using DESeq2 after subsetting genes for neural SM. Dimensionality reduction was applied through t-SNE projections. Variant calls were analyzed using EnsemblVEP and maftools. Survival analysis was determined through log-rank tests. All analyses were conducted with R. 176 and 184 patient samples were analyzed for RNA-seq and DPG, respectively. t-SNE of DGE highlights two distinct functional clusters with no correlation to WHO classification status (Chi-squared p = 0.39) The median survival for the big cluster was observed at 957 days, while no median survival was reached even after 4,420 days of follow-up in the small cluster (p = 0.01). This contrast remains consistent when examining subsets of gliomas with unmethylated MGMT promoter (p = 0.02) and glioblastomas (p = 0.02), but not others such as IDH mutation status and low-grade gliomas (p &gt; 0.1). Genes upregulated in the small cluster had equal representation of synaptic and paracrine SM (45% and 55%), while the big cluster had a greater representation of paracrine SM (69% and 31%). DPG of low-grade gliomas highlighted 3 somatic signaling mutations (FGFR1, PTPRD, and SLIT2) that are more prevalent in the big cluster. Functional classification based on neural signaling markers can elucidate a novel set of biomarkers that may impact survival in glioma patients. Further studies are required to validate such findings and develop therapeutic targets.