Evidence map›Paper›PMID 39623442›Full record

ArticleBMC research notes2024

Candidate genes in canine hepatocellular carcinoma for molecular targeted therapy.

Toshiyuki Tanaka, Tomoki Motegi, Misaki Mori, Nanami Sumikawa, Kaito Maeda, Yasumasa Iimori, Hideo Akiyoshi

Abstract read
In one paragraph

Article in BMC research notes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Toshiyuki Tanaka *Laboratory of Veterinary Surgery, School of Veterinary Science, Osaka Metropolitan University, Osaka, Japan.
Tomoki Motegi *Section of Computational Biomedicine, Department of Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, USA.
Misaki MoriLaboratory of Veterinary Surgery, School of Veterinary Science, Osaka Metropolitan University, Osaka, Japan.
Nanami SumikawaLaboratory of Veterinary Surgery, School of Veterinary Science, Osaka Metropolitan University, Osaka, Japan.
Kaito MaedaLaboratory of Veterinary Surgery, School of Veterinary Science, Osaka Metropolitan University, Osaka, Japan.
Yasumasa IimoriDepartment of Clinical Sciences, Carlson College of Veterinary Medicine, Oregon State University, Corvallis, OR, USA.
Hideo AkiyoshiLaboratory of Veterinary Surgery, School of Veterinary Science, Osaka Metropolitan University, Osaka, Japan. h.akiyoshi@omu.ac.jp.

Funding

Japan Society for the Promotion of Science 22K05991
6 · The paper itself

Abstract

objectivesUnresectable canine hepatocellular carcinoma (HCC) has limited nonsurgical treatment options. Sorafenib is a targeted therapy for unresectable canine HCC. However, there are limited reports on the expression of target genes. Therefore, the efficacy of the targeted therapies for canine HCC remains unclear. DATA DESCRIPTION: Liver specimens were obtained from 11 dogs with HCC and four dogs without HCC. We performed RNA seq using the mRNA extracted from the specimens. Differentially expressed genes (DEGs) between canine HCC and normal liver were explored based on previously reported molecular-targeted agents for human tumours. PARP3, DNMT1, FGF19, FGF23, and RET DEGs were upregulated, whereas KIT, FGFR2, and FGF21 DEGs were downregulated.

Indexed as

Carcinoma, HepatocellularDog DiseasesLiver NeoplasmsMolecular Targeted TherapyAnimalsAntineoplastic AgentsDogsFemaleGene Expression Regulation, NeoplasticMaleSorafenibAntineoplastic AgentsSorafenibDNMT1FGF19FGF23PARP3RETRNA sequence

Identifiers

PMID39623442
PMCPMC11613665

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.