Evidence map›Paper›PMID 39114291›Full record

ReviewFrontiers in endocrinology2024

scRNA sequencing technology for PitNET studies.

Walaa Asaad, Marina Utkina, Anastasia Shcherbakova, Sergey Popov, Galina Melnichenko, Natalia Mokrysheva

Abstract readReview
In one paragraph

Review in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Walaa AsaadDepartment of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
Marina UtkinaDepartment of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
Anastasia ShcherbakovaDepartment of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
Sergey PopovDepartment of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
Galina MelnichenkoDepartment of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.
Natalia MokryshevaDepartment of General, Molecular and Population Genetics, Endocrinology Research Centre, Moscow, Russia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pituitary neuroendocrine tumors (PitNETs) are common, most likely benign tumors with complex clinical characteristics related to hormone hypersecretion and/or growing sellar tumor mass. PitNET types are classified according to their expression of specific transcriptional factors (TFs) and hormone secretion levels. Some types show aggressive, invasive, and reoccurrence behavior. Current research is being conducted to understand the molecular mechanisms regulating these high-heterogeneous neoplasms originating from adenohypophysis, and single-cell RNA sequencing (scRNA-seq) technology is now playing an essential role in these studies due to its remarkable resolution at the single-cell level. This review describes recent studies on human PitNETs performed with scRNA-seq technology, highlighting the potential of this approach in revealing these tumor pathologies, behavior, and regulatory mechanisms.

Indexed as

Neuroendocrine TumorsPituitary NeoplasmsSingle-Cell AnalysisHumansSequence Analysis, RNAPitNETsPitNETs immunityPitNETs invasionPitNETs structurepituitary developmentpituitary tissueScRNA-seqtumor microenvironment

Identifiers

PMID39114291
PMCPMC11303145

What OpenQuestion holds

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LicenceCC BY
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.