Evidence map›Paper›PMID 31455412›Full record

ArticleJournal of translational medicine2019

Metabolic profiling reveals distinct metabolic alterations in different subtypes of pituitary adenomas and confers therapeutic targets.

Jie Feng, Hua Gao, Qi Zhang, Yang Zhou, Chuzhong Li, Sida Zhao, Lichuan Hong, Jinjin Yang, Shuyu Hao, Wan Hong and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of translational medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

13 authors at 3 institutions in 2 countries.

Jie FengBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050, China.ORCID 0000-0001-7265-9419
Hua GaoBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050, China.
Qi ZhangNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20852, USA.
Yang ZhouCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
Chuzhong LiBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050, China.
Sida ZhaoBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050, China.
Lichuan HongBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050, China.
Jinjin YangBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050, China.
Shuyu HaoBeijing Tiantan Hospital, Capital Medical University, Beijing, 100050, China.
Wan HongBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050, China.
Zhengping ZhuangNeuro-Oncology Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, 20852, USA.
Guowang XuCAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China. xugw@dicp.ac.cn.
Yazhuo ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing, 100050, China. zyz2004520@yeah.net.ORCID 0000-0002-8583-2580
Capital Medical University · CNDalian Institute of Chemical Physics · CNNational Institutes of Health · US

Funding

Prefrontal-Accumbens Glutamate and Ethanol Escalation in Adolescent and Adult C57R01AA020610 · NIAAA · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI MELENDEZ, ROBERTO I · 2014 to 2018
$1.8M
NIAAA NIH HHS R01 AA020610
6 · The paper itself

Abstract

backgroundPituitary adenomas are common brain tumors. Although transsphenoidal surgery are able to achieve extensive tumor removal, the rate of recurrence ranges from 5 to 20% depending on the different subtype. Further understanding of these tumors is needed to develop novel strategies to improve the prognosis of patients. But their metabolic characteristics are largely unknown.

methodsWe used metabolomic, transcriptomic, and proteomic approaches to systematically investigate eight subtypes of pituitary adenomas and normal pituitary glands. By blocking IDH2, we investigate IDH2 play an inhibitory role in GH tumor cell growth and tumor secretion.

resultsWe found that all of the pituitary adenomas displayed downregulated glucose metabolism and glycolysis compared to normal tissues. Together with the differences in amino acids and fatty acids, we categorized these tumors into three clusters. We then re-established the reprogrammed metabolic flux in pituitary adenomas based on multiomic analyses. Take growth hormone-secreting pituitary adenomas as an example, we revealed that IDH2 is a key player in the reprogrammed metabolism of such tumors. By blocking IDH2, we confirmed that IDH2 is a potential target for the inhibition of tumor cell growth and tumor secretion.

conclusionsOur study first uncovered the metabolic landscape of pituitary adenomas and demonstrated a possible way to inhibit tumor growth by regulating aberrant metabolism.

Indexed as

MetabolomicsMolecular Targeted TherapyAdenomaAnimalsCell LineCell MovementCell ProliferationEnergy MetabolismGene Expression Regulation, NeoplasticGrowth HormoneHumansIsocitrate DehydrogenaseMetabolomePituitary NeoplasmsRatsTranscriptomeGrowth HormoneIDH2 protein, humanIsocitrate DehydrogenaseMetabolitesMetabolomicsMicroarrayPituitary adenomasProteomics

Identifiers

PMID31455412
PMCPMC6712670
OpenAlexW2971340836

What OpenQuestion holds

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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.