Evidence map›Paper›PMID 28327598›Full record

ArticleScientific reports2017

Global DNA Methylation Analysis Identifies Two Discrete clusters of Pheochromocytoma with Distinct Genomic and Genetic Alterations.

Samuel Backman, Rajani Maharjan, Alberto Falk-Delgado, Joakim Crona, Kenko Cupisti, Peter Stålberg, Per Hellman, Peyman Björklund

Registry-linked trialAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04788927 (Development of a Comprehensive Predictive Model for Risk of Metastatic Disease in PPGLs Based on a Combination of Clinical, Biochemical, Genetic, and Pathoanatomical Characteristics a Retrospective National Cohort Study), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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.

NCT04788927 not yet recruitingnot on this mapstarted 2023, after this paper: background citation

Development of a Comprehensive Predictive Model for Risk of Metastatic Disease in PPGLs Based on a Combination of Clinical, Biochemical, Genetic, and Pathoanatomical Characteristics a Retrospective National Cohort Study

TypeobservationalSponsorRigshospitalet, DenmarkRan2023 to 2027Enrolled400ConditionsParaganglioma, Pheochromocytoma, Genetic Predisposition to Disease, Pathology
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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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

8 authors.

Samuel BackmanDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Rajani MaharjanDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Alberto Falk-DelgadoDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Joakim CronaDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Kenko CupistiDepartment of Surgery, Marien-Hospital, Euskirchen, Germany.
Peter StålbergDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Per HellmanDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Peyman BjörklundDepartment of Surgical Sciences, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pheochromocytomas and paragangliomas (PPGLs) are rare and frequently heritable neural-crest derived tumours arising from the adrenal medulla or extra-adrenal chromaffin cells respectively. The majority of PPGL tumours are benign and do not recur with distant metastases. However, a sizeable fraction of these tumours secrete vasoactive catecholamines into the circulation causing a variety of symptoms including hypertension, palpitations and diaphoresis. The genetic landscape of PPGL has been well characterized and more than a dozen genes have been described as recurrently mutated. Recent studies of DNA-methylation have revealed distinct clusters of PPGL that share DNA methylation patterns and driver mutations, as well as identified potential biomarkers for malignancy. However, these findings have not been adequately validated in independent cohorts. In this study we use an array-based genome-wide approach to study the methylome of 39 PPGL and 4 normal adrenal medullae. We identified two distinct clusters of tumours characterized by different methylation patterns and different driver mutations. Moreover, we identify genes that are differentially methylated between tumour subcategories, and between tumours and normal tissue.

Indexed as

DNA MethylationEpigenesis, GeneticEpigenomicsAdolescentAdrenal Gland NeoplasmsAdultAgedDNA Copy Number VariationsFemaleGene Expression Regulation, NeoplasticGenetic HeterogeneityHumansMaleMiddle AgedPheochromocytomaReactive Oxygen SpeciesReactive Oxygen Species

Identifiers

PMID28327598
PMCPMC5361146

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Registered trials

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.