RESUMEN
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.
Asunto(s)
Fusión Génica , Neoplasias/genética , RNA-Seq , Bioensayo , HumanosRESUMEN
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.
Asunto(s)
Neoplasias de los Genitales Femeninos/genética , Mutación , Guías de Práctica Clínica como Asunto , Transcriptoma , Adulto , Anciano , Anciano de 80 o más Años , Antineoplásicos/uso terapéutico , Ciclo Celular/genética , Estudios de Cohortes , Variaciones en el Número de Copia de ADN , Reparación del ADN/genética , ADN de Neoplasias/genética , Conjuntos de Datos como Asunto , Femenino , Amplificación de Genes , Frecuencia de los Genes , Genes Relacionados con las Neoplasias , Neoplasias de los Genitales Femeninos/tratamiento farmacológico , Neoplasias de los Genitales Femeninos/patología , Adhesión a Directriz , Humanos , Persona de Mediana Edad , Inhibidores de Poli(ADP-Ribosa) Polimerasas/uso terapéutico , Medicina de Precisión/métodos , Estudios RetrospectivosRESUMEN
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.
Asunto(s)
Neoplasias del Sistema Nervioso Central/genética , Glioblastoma/genética , Medicina de Precisión/métodos , Estudios de Cohortes , Femenino , Secuenciación de Nucleótidos de Alto Rendimiento , Humanos , Mutación , Estudios RetrospectivosRESUMEN
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.
Asunto(s)
Biomarcadores de Tumor , Secuenciación de Nucleótidos de Alto Rendimiento , Mutación , Neoplasias/diagnóstico , Neoplasias/genética , Medicina de Precisión , Perfilación de la Expresión Génica/métodos , Secuenciación de Nucleótidos de Alto Rendimiento/métodos , Humanos , Medicina de Precisión/métodos , Pronóstico , TranscriptomaRESUMEN
Molecular profiling of urothelial cancers for therapeutic and prognostic potential has been very limited due to the absence of cancer-specific targeted therapies. We describe here 2 clinical cases with a histological diagnosis of an invasive sarcomatoid and a poorly differentiated carcinoma favoring urothelial with some neuroendocrine differentiation, two of the rarer types of urothelial cancers, which were evaluated for mutations in 212 genes for single-nucleotide variants and copy-number variants and 53 genes for fusions associated with solid tumors. In both cases, we identified variants in 2 genes, ARID1A and CDKN2A, indicative of the role of dysregulation of chromatin remodeling and cell cycle control as being common features of bladder cancer, consistent with the proposed model of tumorigenesis in these rare, highly aggressive pathological subtypes. The presence of a KRAS mutation in the poorly differentiated cancer and a TP53 mutation in the sarcomatoid tumor is indicative of a distinctive profile and adds a potential layer of molecular stratification to these rarer histological subtypes. We present a comparative analysis of the histological, clinical, and molecular profile of both cases and discuss the potential to delineate these tumors at the molecular level keeping in mind the possible therapeutic implications.