Evidence map›Paper›PMID 38167466›Full record

ArticleGenome medicine2024

Single-cell transcriptomic analysis reveals tumor cell heterogeneity and immune microenvironment features of pituitary neuroendocrine tumors.

Nan Yan, Weiyan Xie, Dongfang Wang, Qiuyue Fang, Jing Guo, Yiyuan Chen, Xinqi Li, Lei Gong, Jialin Wang, Wenbo Guo and 4 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
8.9field-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

35 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. The double-positive cells in the tumor microenvironment.Journal of translational internal medicine · 2026
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

14 authors at 3 institutions in 1 country.

Nan Yan *MOE Key Laboratory of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, 100084, China.
Weiyan Xie *Beijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Dongfang Wang *Biomedical Pioneering Innovative Center, Peking University, Beijing, 100871, China.
Qiuyue FangBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Jing GuoBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Yiyuan ChenBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Xinqi LiMOE Key Laboratory of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, 100084, China.
Lei GongBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Jialin WangBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China.
Wenbo GuoMOE Key Laboratory of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, 100084, China.
Xuegong ZhangMOE Key Laboratory of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, 100084, China.
Yazhuo ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China. zhangyazhuo@ccmu.edu.cn.
Jin GuMOE Key Laboratory of Bioinformatics, Department of Automation, BNRIST Bioinformatics Division, Tsinghua University, Beijing, 100084, China. jgu@tsinghua.edu.cn.ORCID 0000-0003-3968-8036
Chuzhong LiBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100070, China. lichuzhong@ccmu.edu.cn.
Capital Medical University · CNTsinghua University · CNPeking University · CN

Funding

National Key Research and Development Program 2020YFA0712403National Natural Science Foundation of China 61721003National Natural Science Foundation of China 62133006National Natural Science Foundation of China 62203019National Natural Science Foundation of China 82071558National Natural Science Foundation of China 82071559National Natural Science Foundation of China 82141109Tsinghua Initiative Scientific Research Program 20221080076
6 · The paper itself

Abstract

backgroundPituitary neuroendocrine tumors (PitNETs) are one of the most common types of intracranial tumors. Currently, the cellular characteristics of normal pituitary and various other types of PitNETs are still not completely understood.

methodsWe performed single-cell RNA sequencing (scRNA-seq) on 4 normal samples and 24 PitNET samples for comprehensive bioinformatics analysis. Findings regarding the function of PBK in the aggressive tumor cells were validated by siRNA knockdown, overexpression, and transwell experiments.

resultsWe first constructed a reference cell atlas of the human pituitary. Subsequent scRNA-seq analysis of PitNET samples, representing major tumor subtypes, shed light on the intrinsic cellular heterogeneities of the tumor cells and tumor microenvironment (TME). We found that the expression of hormone-encoding genes defined the major variations of the PIT1-lineage tumor cell transcriptomic heterogeneities. A sub-population of TPIT-lineage tumor cells highly expressing GZMK suggested a novel subtype of corticotroph tumors. In immune cells, we found two clusters of tumor-associated macrophages, which were both highly enriched in PitNETs but with distinct functional characteristics. In PitNETs, the stress response pathway was significantly activated in T cells. While a majority of these tumors are benign, our study unveils a common existence of aggressive tumor cells in the studied samples, which highly express a set of malignant signature genes. The following functional experiments confirmed the oncogenic role of selected up-regulated genes. The over-expression of PBK could promote both tumor cell proliferation and migration, and it was also significantly associated with poor prognosis in PitNET patients.

conclusionsOur data and analysis manifested the basic cell types in the normal pituitary and inherent heterogeneity of PitNETs, identified several features of the tumor immune microenvironments, and found a novel epithelial cell sub-population with aggressive signatures across all the studied cases.

Indexed as

Brain NeoplasmsNeuroendocrine TumorsCell ProliferationEpithelial CellsGene Expression ProfilingHumansTumor MicroenvironmentPituitary neuroendocrine tumorSingle-cell RNA sequencingTumor heterogeneityTumor microenvironment

Identifiers

PMID38167466
PMCPMC10759356
OpenAlexW4390500306

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.