Evidence map›Paper›PMID 38228887›Full record

SynthesisActa neuropathologica2024

Pituitary neuroendocrine tumors with PIT1/SF1 co-expression show distinct clinicopathological and molecular features.

Matthias Dottermusch, Alice Ryba, Franz L Ricklefs, Jörg Flitsch, Simone Schmid, Markus Glatzel, Wolfgang Saeger, Julia E Neumann, Ulrich Schüller

Open access · hybridAbstract readMeta-Analysis
In one paragraph

Synthesis in Acta neuropathologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
13.2field-weighted citation impact, top 1% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  7. Adenoma receptors and histologic characteristics determining management outcomes.The Journal of clinical endocrinology and metabolism · 2026
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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

9 authors at 2 institutions in 1 country.

Matthias DottermuschInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany. m.dottermusch@uke.de.ORCID 0000-0002-9769-7080
Alice RybaDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Franz L RicklefsDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Jörg FlitschDepartment of Neurosurgery, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Simone SchmidDepartment of Neuropathology, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.
Markus GlatzelInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
Wolfgang SaegerInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
Julia E NeumannInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
Ulrich SchüllerInstitute of Neuropathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.ORCID 0000-0002-8731-1121
Universität Hamburg · DEHumboldt-Universität zu Berlin · DE

Funding

CSRD VA 1
6 · The paper itself

Abstract

Pituitary neuroendocrine tumors (PitNETs) are classified according to cell lineage, which requires immunohistochemistry for adenohypophyseal hormones and the transcription factors (TFs) PIT1, SF1, and TPIT. According to the current WHO 2022 classification, PitNETs with co-expression of multiple TFs are termed "plurihormonal". Previously, PIT1/SF1 co-expression was prevailingly reported in PitNETs, which otherwise correspond to the somatotroph lineage. However, little is known about such tumors and the WHO classification has not recognized their significance. We compiled an in-house case series of 100 tumors, previously diagnosed as somatotroph PitNETs. Following TF staining, histopathological features associated with PIT1/SF1 co-expression were assessed. Integration of in-house and publicly available sample data allowed for a meta-analysis of SF1-associated clinicopathological and molecular features across a total of 270 somatotroph PitNETs. The majority (74%, 52/70) of our densely granulated somatotroph PitNETs (DGST) unequivocally co-expressed PIT1 and SF1 (DGST-PIT1/SF1). None (0%, 0/30) of our sparsely granulated somatotroph PitNETs (SGST) stained positive for SF1 (SGST-PIT1). Among DGST, PIT1/SF1 co-expression was significantly associated with scarce FSH/LH expression and fewer fibrous bodies compared to DGST-PIT1. Integrated molecular analyses including publicly available samples confirmed that DGST-PIT1/SF1, DGST-PIT1 and SGST-PIT1 represent distinct tumor subtypes. Clinicopathological meta-analyses indicated that DGST-PIT1 respond more favorably towards treatment with somatostatin analogs compared to DGST-PIT1/SF1, while both these subtypes show an overall less aggressive clinical course than SGST-PIT1. In this study, we spotlight that DGST with co-expression of PIT1 and SF1 represent a common, yet underrecognized, distinct PitNET subtype. Our study questions the rationale of generally classifying such tumors as "plurihormonal", and calls for a refinement of the WHO classification. We propose the term "somatogonadotroph PitNET".

Indexed as

AdenomaNeuroendocrine TumorsPituitary NeoplasmsCell LineageHumansSteroidogenic Factor 1Transcription Factor Pit-1Transcription FactorsNR5A1 protein, humanPOU1F1 protein, humanSteroidogenic Factor 1Transcription Factor Pit-1Transcription FactorsMethylationMultilineagePIT1PitNETPituitarySF1

Identifiers

PMID38228887
PMCPMC10791732
OpenAlexW4390906271

What OpenQuestion holds

Textmetadata
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.