Evidence map›Paper›PMID 37056814›Full record

ArticleAmerican journal of translational research2023

High expression of KMT2D is a promising biomarker for poor gastric cancer prognosis.

Tianjiao Yi, Lizhong Peng, Pan Li, Yun He, Junjun Tian

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2023. 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
0.3field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
  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

5 authors at 1 institution in 1 country.

Tianjiao YiDepartment of Clinical Laboratory, Hubei Provincial Hospital of TCM No. 856, Luoyu Road, Wuhan 430074, Hubei, China.
Lizhong PengDepartment of General Surgery, Hubei Provincial Hospital of TCM No. 856, Luoyu Road, Wuhan 430074, Hubei, China.
Pan LiDepartment of General Surgery, Hubei Provincial Hospital of TCM No. 856, Luoyu Road, Wuhan 430074, Hubei, China.
Yun HeDepartment of General Surgery, Hubei Provincial Hospital of TCM No. 856, Luoyu Road, Wuhan 430074, Hubei, China.
Junjun TianDepartment of General Surgery, Hubei Provincial Hospital of TCM No. 856, Luoyu Road, Wuhan 430074, Hubei, China.
Hubei Provincial Hospital of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the expression of histone lysine N-methyltransferase 2D (KMT2D) in gastric cancer patients and its relationship with the prognosis.

methodsA total of 126 gastric cancer patients admitted to Hubei Provincial Hospital of TCM from January 2014 to June 2017 were selected as the research subjects, and patients' clinical data were analyzed retrospectively. First, the KMT2D mRNA or protein expression in the patient's tissue was detected using quantitative real-time PCR or immunohistochemistry. Afterwards, the relationship between the KMT2D protein expression and the prognosis of patients was analyzed using a Kaplan-Meier curve. Also, the predictive value of the KMT2D mRNA and protein expression for the prognosis and death rate of gastric cancer patients was evaluated using a receiver operating characteristic curve. Finally, the risk factors for poor prognosis and death of the gastric cancer patients were analyzed using a Cox regression analysis.

resultsOverall, the KMT2D mRNA expression level and positive rate of protein expression in the gastric cancer tissues were significantly higher than that in paracancerous tissues (

conclusionKMT2D is highly expressed in gastric cancer tissue and it is expected to be a potential biomarker for predicting the poor prognosis of gastric cancer patients.

Indexed as

gastric cancerHistone lysine N-methyltransferase 2Dprognosis

Identifiers

PMID37056814
PMCPMC10086919
OpenAlexW4365478949

What OpenQuestion holds

Textmetadata
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.