Evidence map›Paper›PMID 35929659›Full record

ArticleThe Journal of clinical endocrinology and metabolism2022

Prognostic Role of Targeted Methylation Analysis in Paraffin-embedded Samples of Adrenocortical Carcinoma.

Juliane Lippert, Barbara Altieri, Breanna Morrison, Sonja Steinhauer, Gabrielle Smith, Antonia Lorey, Hanna Urlaub, Stefan Kircher, Alice Sitch, Martin Fassnacht and 1 more

Open access · bronzeAbstract read
In one paragraph

Article 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 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

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  4. Recent advances on the role of G0S2.Discover oncology · 2025
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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

11 authors at 5 institutions in 2 countries.

Juliane LippertDivision of Endocrinology and Diabetes, University Hospital of Wuerzburg, 97080 Wuerzburg, Germany.
Barbara AltieriDivision of Endocrinology and Diabetes, University Hospital of Wuerzburg, 97080 Wuerzburg, Germany.
Breanna MorrisonInstitute of Applied Health Research, University of Birmingham, B152TT Birmingham, UK.
Sonja SteinhauerDivision of Endocrinology and Diabetes, University Hospital of Wuerzburg, 97080 Wuerzburg, Germany.
Gabrielle SmithInstitute of Metabolism and System Research, University of Birmingham, B152TT Birmingham, UK.
Antonia LoreyDivision of Endocrinology and Diabetes, University Hospital of Wuerzburg, 97080 Wuerzburg, Germany.
Hanna UrlaubDivision of Endocrinology and Diabetes, University Hospital of Wuerzburg, 97080 Wuerzburg, Germany.
Stefan KircherInstitute for Pathology, University of Wuerzburg, 97080 Wuerzburg, Germany.
Alice SitchInstitute of Applied Health Research, University of Birmingham, B152TT Birmingham, UK.
Martin FassnachtDivision of Endocrinology and Diabetes, University Hospital of Wuerzburg, 97080 Wuerzburg, Germany.ORCID 0000-0001-6170-6398
Cristina L RonchiDivision of Endocrinology and Diabetes, University Hospital of Wuerzburg, 97080 Wuerzburg, Germany.ORCID 0000-0001-5020-2071
Universitätsklinikum Würzburg · DEUniversity of Birmingham · GBComprehensive Cancer Center Mainfranken · DEUniversity Hospitals Birmingham NHS Foundation Trust · GBUniversity of Würzburg · DE

Funding

Department of Health
6 · The paper itself

Abstract

contextAdrenocortical carcinoma (ACC) is a rare aggressive disease with heterogeneous prognoses. Previous studies identified hypermethylation in the promoter region of specific genes to be associated with poor clinical outcome.

objectiveComparative analysis of promising hypermethylated genes as prognostic markers and evaluation of their added value to established clinical prognostic tools.

designWe included 237 patients with ACCs. Tumor DNA was isolated from formalin-fixed paraffin-embedded (FFPE) samples. Targeted pyrosequencing was used to detect promoter region methylation in 5 preselected genes (PAX5, GSTP1, PYCARD, PAX6, G0S2). The prognostic role of hypermethylation pattern was compared with the Stage, Grade, Resection status, Age, Symptoms (S-GRAS) score. Primary endpoints were progression-free (PFS) and overall survival (OS), with disease-free (DFS) as secondary endpoint.

resultsA total of 27.9%, 13.9%, 49%, 49%, and 25.3% of cases showed hypermethylation in PAX5, GSTP1, PYCARD, PAX6, and G0S2, respectively. Hypermethylation in all individual genes-except GSTP1-was significantly associated with both PFS and OS-with hazard ratios (HR) between 1.4 and 2.3. However, only hypermethylation of PAX5 remained significantly associated with OS (P = 0.013; HR = 1.95, 95% CI, 1.2-3.3) in multivariable analysis. A model for risk stratification was developed, combining PAX5 methylation status and S-GRAS groups, showing improved prognostic performance compared to S-GRAS alone (Harrell's C index: OS = 0.751, PFS = 0.711, DFS = 0.688).

conclusionsThis study demonstrated that hypermethylation in PAX5 is associated with worst clinical outcome in ACC, even after accounting for S-GRAS score. Assessing methylation in FFPE material is straightforward in the clinical setting and could be used to improve accuracy of prognostic classification, enabling the direction of personalized management.

Indexed as

Adrenal Cortex NeoplasmsAdrenocortical CarcinomaBiomarkers, TumorDNA MethylationFormaldehydeGlutathione S-Transferase piHumansParaffin EmbeddingPrognosisBiomarkers, TumorFormaldehydeGlutathione S-Transferase piadrenal cancerbiomarkersmolecular oncologypersonalized medicineprognosis

Identifiers

PMID35929659
PMCPMC9516165
OpenAlexW4289886705

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.