Evidence map›Paper›PMID 29527007›Full record

ArticleBritish journal of cancer2018

Identification of selective inhibitors for diffuse-type gastric cancer cells by screening of annotated compounds in preclinical models.

Shu Shimada, Yoshimitsu Akiyama, Kaoru Mogushi, Mari Ishigami-Yuasa, Hiroyuki Kagechika, Hiromi Nagasaki, Hiroshi Fukamachi, Yasuhito Yuasa, Shinji Tanaka

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Artificial intelligence-guided discovery of gastric cancer continuum.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2023
    Article
  4. Genetic and Epigenetic Alterations ofPharmaceuticals (Basel, Switzerland) · 2021
    Article
  5. Review
  6. Review
  7. 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

9 authors at 2 institutions in 1 country.

Shu ShimadaDepartment of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan. shimada.monc@tmd.ac.jp.
Yoshimitsu AkiyamaDepartment of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Kaoru MogushiDepartment of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Mari Ishigami-YuasaChemical Biology Screening Center, and Department of Organic and Medicinal Chemistry, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, Tokyo, Japan.
Hiroyuki KagechikaChemical Biology Screening Center, and Department of Organic and Medicinal Chemistry, Institute of Biomaterials and Bioengineering, Tokyo Medical and Dental University, Tokyo, Japan.
Hiromi NagasakiDepartment of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Hiroshi FukamachiDepartment of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Yasuhito YuasaDepartment of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan.
Shinji TanakaDepartment of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, Tokyo, Japan. tanaka.monc@tmd.ac.jp.
Tokyo Medical and Dental University · JPJuntendo University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffuse-type gastric cancer (DGC) exhibits rapid disease progression and poor patient prognosis. We have previously established an E-cadherin/p53 double conditional knockout (DCKO) mouse line as the first genetically engineered one, which morphologically and molecularly recapitulates human DGC. In this study, we explored low-molecular-weight drugs selectively eliminating mouse and human DGC cells.

methodsWe derived mouse gastric cancer (GC) cell lines from DGC of the DCKO mice demonstrating enhanced tumourigenic activity in immunodeficient mice and acquired tolerance to cytotoxic anti-cancer agents.

resultsWe performed a synthetic lethal screening of 1535 annotated chemical compounds, and identified 27 candidates selectively killing the GC cell lines. The most potent drug mestranol, an oestrogen derivative, and other oestrogen receptor modulators specifically attenuated cell viability of the GC cell lines by inducing apoptosis preceded by DNA damage. Moreover, mestranol could significantly suppress tumour growth of the GC cells subcutaneously transplanted into nude mice, consistent with longer survival time in the female DCKO mice than in the male. Expectedly, human E-cadherin-mutant and -low gastric cancer cells showed higher susceptibility to oestrogen drugs in contrast to E-cadherin-intact ones in vitro and in vivo.

conclusionsThese findings may lead to the development of novel therapeutic strategies targeting DGC.

Indexed as

AnimalsAntineoplastic AgentsCdh1 ProteinsCell Line, TumorDisease Models, AnimalDrug Screening Assays, AntitumorMaleMiceMice, KnockoutMice, NudeStomach NeoplasmsTumor Suppressor Protein p53Antineoplastic AgentsCdh1 ProteinsFzr1 protein, mouseTrp53 protein, mouseTumor Suppressor Protein p53

Identifiers

PMID29527007
PMCPMC5931092
OpenAlexW2792261281

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.