Evidence map›Paper›PMID 37834206›Full record

ArticleInternational journal of molecular sciences2023

Is HOXA5 a Novel Prognostic Biomarker for Uterine Corpus Endometrioid Adenocarcinoma?

Changho Song, Kyoung Bo Kim, Gi Su Lee, Soyoung Shin, Byoungje Kim

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 2 institutions in 1 country.

Changho SongDepartment of Obstetrics and Gynecology, University of Ulsan College of Medicine, Ulsan University Hospital, Ulsan 44033, Republic of Korea.ORCID 0000-0001-5530-6419
Kyoung Bo KimDepartment of Laboratory Medicine, Keimyung University School of Medicine, Daegu 42601, Republic of Korea.ORCID 0000-0001-6461-8852
Gi Su LeeDepartment of Obstetrics and Gynecology, Keimyung University School of Medicine, Daegu 42601, Republic of Korea.
Soyoung ShinDepartment of Pediatrics, Keimyung University School of Medicine, Daegu 42601, Republic of Korea.
Byoungje KimDepartment of Radiology, Keimyung University School of Medicine, Daegu 42601, Republic of Korea.ORCID 0000-0003-2669-1885
Keimyung University · KRUlsan College · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Endometrial cancer (EC) is one of the most pervasive malignancies in females worldwide. HOXA5 is a member of the homeobox (HOX) family and encodes the HOXA5 protein. HOXA5 is associated with various cancers; however, its association with EC remains unclear. This study aimed to determine the association between HOXA5 gene expression and the prognosis of endometrioid adenocarcinoma, a subtype of EC (EAEC). Microarray data of HOXA5 were collected from the Gene Expression Omnibus datasets, consisting of 79 samples from GSE17025 and 20 samples from GSE29981. RNA-sequencing, clinical, and survival data on EC were obtained from The Cancer Genome Atlas cohort. Survival analysis revealed that HOXA5 overexpression was associated with poor overall survival in patients with EAEC (

Indexed as

Carcinoma, EndometrioidEndometrial NeoplasmsFemaleGenes, HomeoboxHomeodomain ProteinsHumansPrognosisHomeodomain ProteinsHOXA5 protein, humanendometrial cancerendometrioid adenocarcinomagene expressionHOX genesnovel prognostic biomarkerRNA-sequencinguterine canceruterine corpus

Identifiers

PMID37834206
PMCPMC10573156
OpenAlexW4387230732

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.