Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria?

11 Dec 2019

Abstract excerpt

The classification of pituitary neuroendocrine tumors (PitNETs) subtypes continues generating interest. In 2017, the World Health Organization (WHO) proposed considering the immunohistochemical (IHC) analysis of pituitary-specific transcription factors (TF) for their typification. The present study targeted the quantification of pituitary-specific TF (TPIT, PIT-1, SF-1, GATA2, ESR1) gene expression by RT-qPCR to...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Growth Hormone and Insulin-like Growth Factors
Share to Neuroendocrine Tumor Research Advances
Share to Pituitary Gland Disorders and Treatments

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Source

Identifiers

PMID: 31835737
DOI: 10.3390/cancers11121990

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 9 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

How Valuable Is the RT-qPCR of Pituitary-Specific Transcription Factors for Identifying Pituitary Neuroendocrine Tumor Subtypes According to the New WHO 2017 Criteria?PMID 31835737Read ↗

Transcription Factor–Based Classification of Pituitary Neuroendocrine Tumors: Practical Immunohistochemical Algorithms, Molecular Correlates, and Diagnostic Challenges in the 5th WHO EraSemantic proximity Read ↗

Annotation of pituitary neuroendocrine tumors with genome-wide expression analysisSemantic proximity Read ↗

Splicing diversity enhances the molecular classification of pituitary neuroendocrine tumorsSemantic proximity Read ↗

A clinicopathological study of non-functioning pituitary neuroendocrine tumours using the World Health Organization 2022 classificationSemantic proximity Read ↗

Pangenomic Classification of Pituitary Neuroendocrine Tumors.Semantic proximity Read ↗

Transcriptomic perspective on acromegaly- related PIT-1/SF-1 positive pituitary tumorsSemantic proximity Read ↗

Transcription factor immunohistochemistry in the diagnosis of pituitary tumoursSemantic proximity Read ↗

Transcriptomic Profiles of Normal Pituitary Cells and Pituitary Neuroendocrine Tumor CellsSemantic proximity Read ↗

Validation of a Clinicopathological Classification for Predicting Outcomes of Pituitary Tumours: Retrospective Cohort Study in a Pituitary Tumour Centre of Excellence, 2013–2023Semantic proximity Read ↗

DNA methylation profiling of pituitary neuroendocrine tumors identifies distinct clinical and pathological subtypes based on epigenetic differentiationSemantic proximity Read ↗

Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumorsSemantic proximity Read ↗

[Histological Classification and Diagnosis of Sellar/Parasellar Tumors].Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.