Evidence map›Paper›PMID 39934142›Full record

ArticleNature communications2025

Splicing diversity enhances the molecular classification of pituitary neuroendocrine tumors.

Yue Huang, Jing Guo, Xueshuai Han, Yang Zhao, Xuejing Li, Peiqi Xing, Yulou Liu, Yingxuan Sun, Song Wu, Xuan Lv and 5 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

15 authors.

Yue Huang *China National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0009-0006-9557-450X
Jing Guo *Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Xueshuai Han *China National Center for Bioinformation, Beijing, China.
Yang ZhaoChina National Center for Bioinformation, Beijing, China.
Xuejing LiBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Peiqi XingChina National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0000-0002-5675-1036
Yulou LiuBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Yingxuan SunBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.
Song WuUniversity of Chinese Academy of Sciences, Beijing, China.
Xuan LvChina National Center for Bioinformation, Beijing, China.ORCID http://orcid.org/0009-0006-5581-2091
Lei ZhouChina National Center for Bioinformation, Beijing, China.
Yazhuo ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing, China.ORCID http://orcid.org/0000-0002-5290-4314
Chuzhong LiBeijing Neurosurgical Institute, Capital Medical University, Beijing, China. lichuzhong@ccmu.edu.cn.
Weiyan XieBeijing Neurosurgical Institute, Capital Medical University, Beijing, China. weiyanxie@ccmu.edu.cn.ORCID http://orcid.org/0000-0001-6029-8521
Zhaoqi LiuChina National Center for Bioinformation, Beijing, China. liuzq@big.ac.cn.ORCID http://orcid.org/0000-0002-3798-9583

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32170565National Natural Science Foundation of China (National Science Foundation of China) 82071558National Natural Science Foundation of China (National Science Foundation of China) 82141109Natural Science Foundation of Beijing Municipality (Beijing Natural Science Foundation) Z220012
6 · The paper itself

Abstract

Pituitary neuroendocrine tumors (PitNETs) are one of the most common intracranial tumors with diverse clinical manifestations. Current pathological classification systems rely primarily on histological hormone staining and transcription factors (TFs) expression. While effective in identifying three major lineages, molecular characteristics based on hormones and TFs lack sufficient resolution to fully capture the complex tumor heterogeneity. Transcriptional diversity by alternative splicing (AS) offered additional insight to address this challenge. Here, we perform bulk and full-length single-cell RNA sequencing to comprehensively investigate AS dysregulation across all PitNET lineages. We reveal pervasive splicing dysregulations that better depict tumor heterogeneity. Additionally, we delineate fundamental splicing heterogeneity at single-cell resolution, confirming bulk findings and refining splicing dysregulation varying among tumor cell types. Notably, we effectively distinguish the silent corticotroph subtype and define a distinct TPIT lineage subtype, which is associated with worse clinical outcomes and increased splicing abnormalities driven by altered ESRP1 expression. In conclusion, our results characterize the subtype specific AS landscape in PitNETs, enhancing the understanding of the PitNETs subtyping.

Indexed as

Alternative SplicingNeuroendocrine TumorsPituitary NeoplasmsFemaleGene Expression Regulation, NeoplasticHumansMaleRNA-Binding ProteinsSingle-Cell AnalysisRNA-Binding Proteins

Identifiers

PMID39934142
PMCPMC11814191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.