Evidence map›Paper›PMID 34584127›Full record

Observational studyScientific reports2021

Oxysterol binding protein-like 3 (OSBPL3) is a novel driver gene that promotes tumor growth in part through R-Ras/Akt signaling in gastric cancer.

Qingjiang Hu, Takaaki Masuda, Kensuke Koike, Kuniaki Sato, Taro Tobo, Shotaro Kuramitsu, Akihiro Kitagawa, Atsushi Fujii, Miwa Noda, Yusuke Tsuruda and 5 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Role of Oxysterol-Binding Protein Family in Cholesterol Metabolism and Cancer Progression: A Review.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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 at 2 institutions in 1 country.

Qingjiang HuDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Takaaki MasudaDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Kensuke KoikeDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Kuniaki SatoDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Taro ToboDepartment of Clinical Laboratory Medicine, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Shotaro KuramitsuDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Akihiro KitagawaDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Atsushi FujiiDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Miwa NodaDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Yusuke TsurudaDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Hajime OtsuDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Yosuke KurodaDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Shuhei ItoDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan.
Eiji OkiDepartment of Surgery and Science, Kyushu University Hospital, Fukuoka, 812-8582, Japan.
Koshi MimoriDepartment of Surgery, Kyushu University Beppu Hospital, Beppu, 874-0838, Japan. kmimori@beppu.kyushu-u.ac.jp.
Kyushu University Beppu Hospital · JPKyushu University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is one of the most lethal malignant tumors. To improve the prognosis of GC, the identification of novel driver genes as therapeutic targets is in urgent need. Here, we aimed to identify novel driver genes and clarify their roles in gastric cancer. OSBPL3 was identified as a candidate driver gene by in silico analysis of public genomic datasets. OSBPL3 expression was analyzed by RT-qPCR and immunohistochemistry in GC cells and tissues. The biological functions and mechanisms of OSBPL3 in GC were examined in vitro and in vivo using GC cells. The association between OSBPL3 expression and clinical outcome in GC patients was also evaluated. Overexpression of OSBPL3 was detected in GC cells with OSBPL3 DNA copy number gains and promoter hypomethylation. OSBPL3-knockdown reduced GC cell growth in vitro and in vivo by inhibiting cell cycle progression. Moreover, an active Ras pull-down assay and western blotting demonstrated that OSBPL3 activates the R-Ras/Akt signaling pathway in GC cells. In a clinical analysis of two GC datasets, high OSBPL3 expression was predictive of a poor prognosis. Our findings suggest that OSBPL3 is a novel driver gene stimulating the R-Ras/Akt signaling pathway and a potential therapeutic target in GC patients.

Indexed as

Gene Expression Regulation, NeoplasticAgedAged, 80 and overCell Line, TumorDatasets as TopicDisease ProgressionDNA Copy Number VariationsFatty Acid-Binding ProteinsFemaleGastrectomyGene Knockdown TechniquesHumansMaleMiddle AgedOxysterol Binding ProteinsPrognosisAKT1 protein, humanFatty Acid-Binding ProteinsOSBPL3 protein, humanOxysterol Binding ProteinsProto-Oncogene Proteins c-aktras ProteinsRRAS protein, human

Identifiers

PMID34584127
PMCPMC8478956
OpenAlexW3203438022

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.