Evidence map›Paper›PMID 39548496›Full record

ArticleJournal of translational medicine2024

Single-cell transcriptomics link gene expression signatures to clinicopathological features of gonadotroph and lactotroph PitNET.

T Elise Potthoff, Carolin Walter, Daniela Jeising, Daniel Münter, Archana Verma, Eric Suero Molina, Walter Stummer, Martin Dugas, Wolfgang Hartmann, Matthias Dottermusch and 6 more

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
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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

16 authors.

T Elise PotthoffDepartment of Paediatric Haematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Carolin WalterInstitute of Medical Informatics, University of Münster, 48149, Münster, Germany.
Daniela JeisingDepartment of Paediatric Haematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Daniel MünterDepartment of Paediatric Haematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Archana VermaDepartment of Paediatric Haematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Eric Suero MolinaDepartment of Neurosurgery, University Hospital of Münster, 48149, Münster, Germany.
Walter StummerDepartment of Neurosurgery, University Hospital of Münster, 48149, Münster, Germany.
Martin DugasInstitute of Medical Informatics, University of Münster, 48149, Münster, Germany.
Wolfgang HartmannDivision of Translational Pathology, Gerhard Domagk Institute of Pathology, University Hospital Münster, 48149, Münster, Germany.
Matthias DottermuschInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
Lea AltendorfDepartment of Paediatric Haematology and Oncology, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
Ulrich SchüllerInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, 20251, Hamburg, Germany.
Sophia ScheuermannDFG Cluster of Excellence 2180 'Image-Guided and Functional Instructed Tumor Therapy' (iFIT), University of Tübingen, 72076, Tübingen, Germany.
Christian SeitzDFG Cluster of Excellence 2180 'Image-Guided and Functional Instructed Tumor Therapy' (iFIT), University of Tübingen, 72076, Tübingen, Germany.
Thomas K Albert *Department of Paediatric Haematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany.
Kornelius Kerl *Department of Paediatric Haematology and Oncology, University Children's Hospital Münster, Albert-Schweitzer-Campus 1, 48149, Münster, Germany. Kornelius.Kerl@ukmuenster.de.ORCID 0000-0002-5676-8102

Funding

Deutsche Krebshilfe 70114624
6 · The paper itself

Abstract

backgroundPituitary neuroendocrine tumors (PitNET) are among the most common intracranial tumors. Despite a frequent benign course, aggressive behavior can occur. Tumor behavior is known to be under the influence of the tumor microenvironment (TME). However, the relationship between TME cells and aggressive tumor behavior has not been adequately explored in PitNET.

methodsWe performed differential expression analysis as well as gene expression program identification based on single-cell RNA sequencing to comparatively characterize the transcriptome of seven gonadotroph and three lactotroph PitNET and correlate it with clinical features using bulk RNA-seq data from an independent cohort of 134 PitNET. Tumor immune infiltration was quantified via immunostaining on tissue sections of gonadotroph and lactotroph PitNET.

resultsIn lactotroph PitNET, we detect a highly proliferative gene profile with significantly increased expression levels in aggressively growing tumors within bulk RNA-seq data of an independent cohort of 134 PitNET samples. We also report high intratumoral heterogeneity in gonadotroph PitNET (GoPN) and lactotroph PitNET (LaPN) and identify signatures of epithelial, endocrine, and immunological gene networks in both subtypes. A comparison of their TME composition shows enrichment of SPP1

conclusionsOur study expands the knowledge of the differences in cellular composition of gonadotroph and lactotroph PitNET subtypes. It lays the foundation for further studies on the influence of lymphoid cells on the variable aggressive behavior of PitNET. Regarding the treatment of drug-resistant lactotroph PitNET, proliferative lymphocytes, CD8

Indexed as

Gene Expression Regulation, NeoplasticGonadotrophsLactotrophsPituitary NeoplasmsSingle-Cell AnalysisTranscriptomeAdultCohort StudiesFemaleGene Expression ProfilingHumansMaleMiddle AgedNeuroendocrine TumorsTumor MicroenvironmentGonadotrophIntratumoral heterogeneityLactotrophPituitary neuroendocrine tumor (PitNET)Single-cell RNA sequencingTumor microenvironment

Identifiers

PMID39548496
PMCPMC11566263

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Registered trials

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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.