Evidence map›Paper›PMID 39536727›Full record

ArticleNeuroendocrinology2025

A Comprehensive Target Panel Allows to Extend the Genetic Spectrum of Neuroendocrine Tumors.

Uliana A Tsoy, Polina S Sokolnikova, Ekaterina N Kravchuk, Pavel A Ryazanov, Alexandra A Kozyreva, Yulia V Fomicheva, Liana S Aramisova, Tatiana L Karonova, Anna A Kostareva, Elena Grineva

Abstract read
In one paragraph

Article in Neuroendocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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.

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

1 citing paper in PubMed.

  1. 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

10 authors.

Uliana A TsoyWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.
Polina S SokolnikovaWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.
Ekaterina N KravchukWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.
Pavel A RyazanovWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.
Alexandra A KozyrevaWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.
Yulia V FomichevaWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.
Liana S AramisovaWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.
Tatiana L KaronovaWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.
Anna A KostarevaWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.
Elena GrinevaWorld-Class Research Centre for Personalized Medicine, Almazov National Medical Research Centre, Saint Petersburg, Russian Federation.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNeuroendocrine tumors (NETs) frequently have a genetic basis, and the range of genes implicated in NET development continues to expand. Application of targeted gene panels (TGPs) in next-generation sequencing is a central strategy for elucidating novel variants associated with NET development.

methodsIn this study, we conducted comprehensive molecular genetic analyses using TGP on a cohort of 93 patients diagnosed with various NETs subtypes, mainly accompanied by various endocrine syndromes: insulinoma (n = 26), pheochromocytoma and paraganglioma (PPGL) (n = 38), parathyroid adenoma (n = 18, including three with insulinoma), and NETs of other locations (n = 14). The TGP encompassed genes linked to diverse NETs and other hereditary endocrine disorders, with subsequent variant classification according to the American College of Medical Genetics and Genomics guidelines.

resultsAmong the identified variants, 20 were found in genes previously linked to specific tumor types, and 10 were found in genes with a limited likelihood and unclear molecular mecanisms of association with observed NETs. Remarkably, 13 variants were discovered in genes not previously associated with the NETs observed in our patients. These genes, such as ABCC8, KCNJ11, KLF11, HABP2, and APC, were implicated in insulinoma; ZNRF3, GNAS, and KCNJ5 were linked with PPGL; parathyroid adenomas were related to variants in SDHB and TP53; while NETs of other locations displayed variants in APC and ABCC8.

conclusionOur study demonstrates that utilizing broad TGP in examining patients with various functioning NETs facilitates the identification of new germinal variants in genes that may contribute to the diseases. The verification of revealed findings requires research in vaster sample.

Indexed as

Neuroendocrine TumorsAdultAgedCohort StudiesFemaleGenetic TestingHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedPheochromocytomaYoung AdultGenetic testingInsulinomaNeuroendocrine tumorsParathyroid adenomaPheochromocytomaTarget gene panel

Identifiers

PMID39536727
PMCPMC12169807

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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.