Evidence map›Paper›PMID 34850906›Full record

ReviewThe Journal of clinical endocrinology and metabolism2022

Pathological and Genetic Stratification for Management of Adrenocortical Carcinoma.

Michael R Clay, Emilia M Pinto, Lauren Fishbein, Tobias Else, Katja Kiseljak-Vassiliades

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of clinical endocrinology and metabolism, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Rare solid tumours as indicators of hereditary cancer syndromes.European journal of human genetics : EJHG · 2026
    Review
  2. Article
  3. Hormonal functional status and prognostic stratification in adrenocortical carcinoma: a single-center retrospective cohort study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 4 institutions in 1 country.

Michael R ClayDepartment of Pathology, University of Colorado School of Medicine at Colorado Anschutz Medical Campus Aurora, CO, USA.
Emilia M PintoDepartment of Pathology; St. Jude Children's Research Hospital, Memphis, TN, USA.
Lauren FishbeinDivision of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine at Colorado Anschutz Medical Campus Aurora, CO, USA.ORCID 0000-0002-8151-5107
Tobias ElseDivision of Metabolism, Endocrinology and Diabetes, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0000-0002-2262-0011
Katja Kiseljak-VassiliadesDivision of Endocrinology, Metabolism and Diabetes, Department of Medicine, University of Colorado School of Medicine at Colorado Anschutz Medical Campus Aurora, CO, USA.ORCID 0000-0003-3341-582X
University of Colorado Anschutz Medical Campus · USSt. Jude Children's Research Hospital · USUniversity of Michigan · USVeterans Health Administration · US

Funding

Inherited genetic variation and penetrance of Hereditary Paraganglioma-Pheochromocytoma SyndromeR01CA246586 · NCI · UNIVERSITY OF COLORADO DENVER · PI FISHBEIN, LAUREN MICHELLE · 2020 to 2024
$1.8M
Identifying and Characterizing Therapeutic Targets in Adrenal CancerK08CA222620 · NCI · UNIVERSITY OF COLORADO DENVER · PI KISELJAKVASSILIADES, KATJA · 2018 to 2022
$1.0M
BLRD VA I01 BX004665NCI NIH HHS K08 CA222620NCI NIH HHS R01 CA246586NIH HHS K08CA222620
6 · The paper itself

Abstract

contextAdrenocortical 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.

conclusionsClinical 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.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaHumansPrognosisgenetics adrenocortical carcinomapathology

Identifiers

PMID34850906
PMCPMC8947319
OpenAlexW3217470828

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.