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Targeted Molecular Analysis in Adrenocortical Carcinomas: A Strategy Toward Improved Personalized Prognostication

Adrenocortical carcinoma (ACC) has a heterogeneous prognosis, and current medical therapies have limited efficacy in its advanced stages. Genome-wide multiomics studies identified molecular patterns associated with clinical outcome. Here, we aimed at identifying a molecular signature useful for both...

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Published in:The journal of clinical endocrinology and metabolism 2018-12, Vol.103 (12), p.4511-4523
Main Authors: Lippert, Juliane, Appenzeller, Silke, Liang, Raimunde, Sbiera, Silviu, Kircher, Stefan, Altieri, Barbara, Nanda, Indrajit, Weigand, Isabel, Gehrig, Andrea, Steinhauer, Sonja, Riemens, Renzo J M, Rosenwald, Andreas, Müller, Clemens R, Kroiss, Matthias, Rost, Simone, Fassnacht, Martin, Ronchi, Cristina L
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container_issue 12
container_start_page 4511
container_title The journal of clinical endocrinology and metabolism
container_volume 103
creator Lippert, Juliane
Appenzeller, Silke
Liang, Raimunde
Sbiera, Silviu
Kircher, Stefan
Altieri, Barbara
Nanda, Indrajit
Weigand, Isabel
Gehrig, Andrea
Steinhauer, Sonja
Riemens, Renzo J M
Rosenwald, Andreas
Müller, Clemens R
Kroiss, Matthias
Rost, Simone
Fassnacht, Martin
Ronchi, Cristina L
description Adrenocortical carcinoma (ACC) has a heterogeneous prognosis, and current medical therapies have limited efficacy in its advanced stages. Genome-wide multiomics studies identified molecular patterns associated with clinical outcome. Here, we aimed at identifying a molecular signature useful for both personalized prognostic stratification and druggable targets, using methods applicable in clinical routine. In total, 117 tumor samples from 107 patients with ACC were analyzed. Targeted next-generation sequencing of 160 genes and pyrosequencing of 4 genes were applied to formalin-fixed, paraffin-embedded (FFPE) specimens to detect point mutations, copy number alterations, and promoter region methylation. Molecular results were combined with clinical/histopathological parameters (tumor stage, age, symptoms, resection status, and Ki-67) to predict progression-free survival (PFS). In addition to known driver mutations, we detected recurrent alterations in genes not previously associated with ACC (e.g., NOTCH1, CIC, KDM6A, BRCA1, BRCA2). Best prediction of PFS was obtained integrating molecular results (more than one somatic mutation, alterations in Wnt/β-catenin and p53 pathways, high methylation pattern) and clinical/histopathological parameters into a combined score (P < 0.0001, χ2 = 68.6). Accuracy of prediction for early disease progress was 83.3% (area under the receiver operating characteristic curve: 0.872, 95% confidence interval 0.80 to 0.94). Furthermore, 17 potentially targetable alterations were found in 64 patients (e.g., in CDK4, NOTCH1, NF1, MDM2, and EGFR and in DNA repair system). This study demonstrates that molecular profiling of FFPE tumor samples improves prognostication of ACC beyond clinical/histopathological parameters and identifies new potential drug targets. These findings pave the way to precision medicine in this rare disease.
doi_str_mv 10.1210/jc.2018-01348
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Best prediction of PFS was obtained integrating molecular results (more than one somatic mutation, alterations in Wnt/β-catenin and p53 pathways, high methylation pattern) and clinical/histopathological parameters into a combined score (P &lt; 0.0001, χ2 = 68.6). Accuracy of prediction for early disease progress was 83.3% (area under the receiver operating characteristic curve: 0.872, 95% confidence interval 0.80 to 0.94). Furthermore, 17 potentially targetable alterations were found in 64 patients (e.g., in CDK4, NOTCH1, NF1, MDM2, and EGFR and in DNA repair system). This study demonstrates that molecular profiling of FFPE tumor samples improves prognostication of ACC beyond clinical/histopathological parameters and identifies new potential drug targets. These findings pave the way to precision medicine in this rare disease.</abstract><cop>United States</cop><pub>Copyright Oxford University Press</pub><pmid>30113656</pmid><doi>10.1210/jc.2018-01348</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0021-972X
ispartof The journal of clinical endocrinology and metabolism, 2018-12, Vol.103 (12), p.4511-4523
issn 0021-972X
1945-7197
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source Oxford Journals Online
subjects Adrenal Cortex - pathology
Adrenal Cortex Neoplasms - drug therapy
Adrenal Cortex Neoplasms - genetics
Adrenal Cortex Neoplasms - mortality
Adrenal Cortex Neoplasms - pathology
Adrenocortical Carcinoma - drug therapy
Adrenocortical Carcinoma - genetics
Adrenocortical Carcinoma - mortality
Adrenocortical Carcinoma - pathology
Adult
Aged
Aged, 80 and over
Antineoplastic Agents - pharmacology
Antineoplastic Agents - therapeutic use
Biomarkers, Tumor - antagonists & inhibitors
Biomarkers, Tumor - genetics
BRCA1 protein
BRCA2 protein
Carcinoma
Copy number
Cyclin-dependent kinase 4
DNA Copy Number Variations
DNA Methylation
DNA Mutational Analysis
DNA repair
Epidermal growth factor receptors
Female
Follow-Up Studies
Genomes
High-Throughput Nucleotide Sequencing
Humans
Male
MDM2 protein
Medical prognosis
Middle Aged
Molecular Targeted Therapy
Mutation
Neuroendocrine tumors
Next-generation sequencing
p53 Protein
Paraffin
Patients
Point Mutation
Precision medicine
Precision Medicine - methods
Prognosis
Progression-Free Survival
Promoter Regions, Genetic - genetics
Rare diseases
Retrospective Studies
Survival Analysis
Therapeutic targets
Wnt protein
Young Adult
β-Catenin
title Targeted Molecular Analysis in Adrenocortical Carcinomas: A Strategy Toward Improved Personalized Prognostication
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