DNA methylation provides diagnostic value for meningioma recurrence in clinical practice.

BACKGROUND: Meningiomas are the most common intracranial tumors. Recent advancements in the genetic profiling of tumors have allowed information including DNA copy number analysis, mutational analysis, and RNA sequencing to be more frequently reported, in turn allowing better characterization of meningiomas. In recent years, analysis of tumor methylomes that reflects both cell-origin methylation signatures and somatically acquired DNA methylation changes has been utilized to better classify meningiomas with great success. METHOD: We report DNA methylation profiling on meningiomas from 17 patients. Formalin-fixed paraffin-embedded (FFPE) meningioma tumor samples were processed, loaded onto the Infinium Methylation EPIC array, and scanned using the Illumina IScan system. Raw IDAT files were processed through the the CNS tumor classifier developed by the Molecular Neuropathology group at the German Cancer Research Center (DKFZ). Corresponding genomics were captured using targeted sequencing panels. RESULT: Among the meningioma samples, 13 samples were classified as "benign," two samples as "intermediate," and the remaining three samples (from two patients) as "malignant," based on previously validated classification algorithms. In addition to tumor methylation profiling, we also present information that includes patient demographics, clinical presentations, tumor characteristics (including size and location), surgical approaches, and mutational analysis. The two patients who provided the samples with "malignant" methylation classifications had tumor recurrence, reflecting a more aggressive disease course. CONCLUSION: In accordance with prior reports, our case series provides support that tumor DNA methylation profiling adds meaningful classification information and may be beneficial to incorporate in clinical practice. Our report also reveals that DNA methylation combined with WHO histology classification can more accurately predict tumor behavior than WHO classification alone.

RNA-Seq for the detection of gene fusions in solid tumors: development and validation of the JAX FusionSeq™ 2.0 assay.

Whole transcriptome sequencing (RNA-Seq) has gained prominence for the detection of fusions in solid tumors. Here, we describe the development and validation of an in-house RNA-Seq-based test system (FusionSeq™ 2.0) for the detection of clinically actionable gene fusions, in formalin-fixed paraffin-embedded (FFPE) specimens, using seventy tumor samples with varying fusion status. Conditions were optimized for RNA input of 50 ng, shown to be adequate to call known fusions at as low as 20% neoplastic content. Evaluation of assay performance between FFPE and fresh-frozen (FF) tissues exhibited little to no difference in fusion calling capability. Performance analysis of the assay validation data determined 100% accuracy, sensitivity, specificity, and reproducibility. This clinically developed and validated RNA-Seq-based approach for fusion detection in FPPE samples was shown to be on par if not superior to off-the-shelf commercially offered assays. With gene fusions implicated in a variety of cancer types, offering high-quality, low-cost molecular testing services for FFPE specimens will serve to best benefit the patient and the advancement of precision medicine in molecular oncology. KEY MESSAGES: A custom RNA-Seq-based test system (FusionSeq™ 2.0) for the detection of clinically actionable gene fusions, Evaluation of assay performance between FFPE and fresh-frozen (FF) tissues exhibited little to no difference in fusion calling capability. The assay can be performed with low RNA input and neoplastic content. Performance characteristics of the assay validation data determined 100% accuracy, sensitivity, specificity, and reproducibility.

Molecular profiling of gynecologic cancers for treatment and management of disease - demonstrating clinical significance using the AMP/ASCO/CAP guidelines for interpretation and reporting of somatic variants.

Molecular features of gynecologic cancers have been investigated in comprehensive studies, but correlation of these molecular signatures with clinical significance for precision medicine is yet to be established. Towards this end, we evaluated 95 gynecologic cancer cases submitted for testing using The JAX ActionSeq™ NGS panel. Molecular profiles were studied and compared to TCGA datasets to identify similarities and distinguishing features among subtypes. We identified 146 unique clinically significant variants (Tier I and II) across 45 of the 212 genes (21%), in 87% (83/95) of cases. TP53, PTEN, ARID1A, PIK3CA and ATM were the most commonly mutated genes; CCNE1 and ERBB2 amplifications were the most frequently detected copy-number alterations. PARP inhibitors were among the most commonly reported drug class with clinical trials, consistent with the frequency of DNA damage-response pathway mutations in our cohort. Overall, our study provides additional insight into the molecular profiles of gynecologic cancers, highlighting regulatory pathways involved, raising the potential implications for targeted therapeutic options currently available.

Molecular profiling of CNS tumors for the treatment and management of disease.

The World Health Organization (WHO) has defined more than 130 distinct central nervous system (CNS) tumor entities, of which glioblastoma is the most fatal primary brain tumor. However, the correlation of the molecular signatures of glioblastoma with clinical significance for precision medicine is not well-known. How, and to what extent these variants may affect clinical decision making remains uncertain. Here, we evaluate 48 glioblastomas submitted for testing using the JAX ActionSeq™ Next-generation sequencing (NGS) panel. We identified 131 clinically significant variants (Tier I and II) across 30 of the 212 genes (14%). TP53, EGFR, PTEN, IDH1 were the most commonly mutated genes; EGFR, CDK4 amplifications, and CDKN2A deletion were the most frequently detected copy-number alterations. CDK4/6 and PI3K inhibitors were among the most commonly reported drug class with FDA approved therapies and investigational therapies, which is consistent with the frequencies of these genes in our cohort. Overall, our study established the molecular profiles of glioblastoma based on the 2017 joint consensus guidelines by AMP/ASCO/CAP and provides the potential implications for targeted therapeutic options currently available.

Mutation Yield of a Custom 212-Gene Next-Generation Sequencing Panel for Solid Tumors: Clinical Experience of the First 260 Cases Tested Using the JAX ActionSeq™ Assay.

OBJECTIVE: The study aimed to retrospectively evaluate the positive yield rate of a custom 212-gene next-generation sequencing (NGS) panel, the JAX ActionSeq™ assay, used in molecular profiling of solid tumors for precision medicine. METHODS: We evaluated 261 cases tested over a 24-month period including cancers across 24 primary tissue types and report on the mutation yield in these cases. RESULTS: Thirty-three of the 261 cases (13%) had no detectable clinically significant variants. In the remaining 228 cases (87%), we identified 550 clinically significant variants in 88 of the 212 genes, with four of fewer clinically significant variants being detected in 62 of 88 genes (70%). TP53 had the highest number of variants (125), followed by APC (47), KRAS (47), ARID1A (20), PIK3CA (20) and EGFR (18). There were 38 tier I and 512 tier II variants, with two genes having only a tier I variant, seven genes having both a tier I and tier II variant, and 79 genes having at least one tier II variant. Overall, the ActionSeq™ assay detected clinically significant variants in 42% of the genes included in the panel (88/212), 68% of which (60/88) were detected in more than one tumor type. CONCLUSIONS: This study demonstrates that of the genes with documented involvement in cancer, only a limited number are currently clinically significant from a therapeutic, diagnostic and/or prognostic perspective.