Evidence map›Paper›PMID 37605807›Full record

ArticleThoracic cancer2023

AMPAR receptor inhibitors suppress proliferation of human small cell lung cancer cell lines.

Nami Masumoto, Shingo Kato, Masahiro Aichi, Sho Hasegawa, Kota Sahara, Kumiko Suyama, Akane Sano, Tomoyuki Miyazaki, Koji Okudela, Takeshi Kaneko and 1 more

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.8field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Cancer and neurotransmitter receptors.Chinese medical journal · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Review
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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

11 authors at 4 institutions in 2 countries.

Nami MasumotoDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.ORCID 0000-0001-8874-823X
Shingo KatoDepartment of Clinical Cancer Genomics, Yokohama City University Hospital, Yokohama, Japan.
Masahiro AichiDepartment of Physiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Sho HasegawaDepartment of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Kota SaharaDepartment of Physiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Kumiko SuyamaDepartment of Physiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Akane SanoDepartment of Physiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Tomoyuki MiyazakiDepartment of Physiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Koji OkudelaDepartment of Pathology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Takeshi KanekoDepartment of Pulmonology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Takuya TakahashiDepartment of Physiology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Yokohama City University · JPJapan Society for the Promotion of Science · JPKanagawa Prefectural Hospital Organization · JPZero to Three · US

Funding

Creation of Innovation Centers for Advanced Interdisciplinary Research Areas Program, Ministry of Education, Culture, Sports, Science and Technology 42890001the Japan Society for the Promotion of Science Grant-in-Aid for Young Scientists / 19K16840
6 · The paper itself

Abstract

backgroundSmall cell lung cancer (SCLC) is a neuroendocrine tumor with poor prognosis. Neuroendocrine tumors possess characteristics of both nerve cells and hormone-secreting cells; therefore, targeting the neuronal properties of these tumors may lead to the development of new therapeutic options. Among the endogenous signaling pathways in the nervous system, targeting the glutamate pathway may be a useful strategy for glioblastoma treatment. Perampanel, an antagonist of the synaptic glutamate α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor (AMPAR), has been reported to be effective in patients with glioblastoma. In this study, we aimed to investigate the antitumor effects of AMPAR antagonists in human SCLC cell lines.

methodsWe performed to examine the expression of AMPAR using Western blot and immunohistochemical analysis. The antitumor effects of AMPAR antagonists on human SCLC cell lines were investigated in vitro and in vivo. We also analyzed the signaling pathway of AMPAR antagonists in SCLC cell lines. Statistical analysis was performed by the GraphPad Prism 6 software.

resultsWe first examined the expression of endogenous AMPAR in six human SCLC cell lines, detecting AMPAR proteins in all of them. Next, we tested the anti-proliferative effect of two AMPAR antagonists, talampanel and cyanquixaline, using SCLC cells in vitro and in vivo. Both AMPAR antagonists inhibited cell proliferation and mitogen-activated protein kinase (MAPK) phosphorylation in SCLC cells in vitro. Further, we observed reduced proliferation of implanted cell lines in an in vivo setting, assessed by Ki-67 immunohistochemistry. Additionally, using immunohistochemical analysis we confirmed AMPAR protein expression in human SCLC samples.

conclusionAMPAR may be a potential therapeutic target for SCLC.

Indexed as

Cell ProliferationLung NeoplasmsReceptors, AMPASmall Cell Lung CarcinomaAnimalsCell Line, TumorHumansMiceXenograft Model Antitumor AssaysReceptors, AMPAAMPARcyanquixalinesmall cell lung cancertalampanelα-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid receptor

Identifiers

PMID37605807
PMCPMC10569908
OpenAlexW4386046279

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.