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Pathological and Genetic Stratification for Management of Adrenocortical Carcinoma.
Clay, Michael R; Pinto, Emilia M; Fishbein, Lauren; Else, Tobias; Kiseljak-Vassiliades, Katja.
Affiliation
  • Clay MR; Department of Pathology, University of Colorado School of Medicine at Colorado Anschutz Medical Campus Aurora, CO, USA.
  • Pinto EM; Department of Pathology; St. Jude Children's Research Hospital, Memphis, TN, USA.
  • Fishbein L; Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine at Colorado Anschutz Medical Campus Aurora, CO, USA.
  • Else T; Division of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.
  • Kiseljak-Vassiliades K; Division of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine at Colorado Anschutz Medical Campus Aurora, CO, USA.
J Clin Endocrinol Metab ; 107(4): 1159-1169, 2022 03 24.
Article in En | MEDLINE | ID: mdl-34850906
ABSTRACT
CONTEXT Adrenocortical carcinoma (ACC) is a rare endocrine malignancy that affects patients across the age spectrum. Although the overall survival in patients with ACC is poor, there is significant heterogeneity in terms of outcomes, presentation, and underlying genetic drivers. EVIDENCE ACQUISITION This review is based on the evidence collected from primary research studies, expert reviews, and published guidelines. The studies were identified through PubMed search with key words "adrenocortical carcinoma," "prognosis," "pathology," and "genetics." The PubMed search was complemented by authors' expertise, research, and clinical experience in the field of ACC. EVIDENCE

SYNTHESIS:

Identification of biomarkers has been critical to gain better insight into tumor behavior and to guide therapeutic approach to patients. Tumor stage, resection status, and Ki67 are pathological tumor characteristics that have been identified as prognosticators in patients with ACC. Cortisol excess also correlates with worse prognosis. Clinical and histopathological characteristics help stratify patient outcomes, yet still up to 25% of patients have a different outcome than predicted. To bridge this gap, comprehensive genomic profiling studies have characterized additional profiles that correlate with clinical outcomes. In addition, studies of clinically applicable molecular markers are under way to further stratify outcomes in patients with ACC tumors.

CONCLUSIONS:

Clinical predictors in combination with pathological markers play a critical role in the approach to patients with ACC. Recent advances in genetic prognosticators will help extend the stratification of these tumors and contribute to a personalized therapeutic approach to patients with ACC.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adrenal Cortex Neoplasms / Adrenocortical Carcinoma Type of study: Guideline / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: J Clin Endocrinol Metab Year: 2022 Document type: Article Affiliation country: United States Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Adrenal Cortex Neoplasms / Adrenocortical Carcinoma Type of study: Guideline / Prognostic_studies / Systematic_reviews Limits: Humans Language: En Journal: J Clin Endocrinol Metab Year: 2022 Document type: Article Affiliation country: United States Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA