Evidence map›Paper›PMID 33881965›Full record

ArticleScience progress

Differentially expressed genes

Zhongxiang Du, Xiajun Zhang, Weiya Gao, Jie Yang

Open access · diamondAbstract read
In one paragraph

Article in Science progress. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Physiological and Pathological Role of Acyl-CoA Oxidation.International journal of molecular sciences · 2023
    Review
  8. Prognosis of colon cancer patients based on enhancer RNAs-related genes.Journal of cancer research and clinical oncology · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. 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

4 authors at 1 institution in 1 country.

Zhongxiang DuClinical Laboratory, Danyang People's Hospital of Jiangsu Province, Danyang, Jiangsu, China.
Xiajun ZhangClinical Laboratory, Danyang People's Hospital of Jiangsu Province, Danyang, Jiangsu, China.
Weiya GaoClinical Laboratory, Danyang People's Hospital of Jiangsu Province, Danyang, Jiangsu, China.
Jie YangClinical Laboratory, Danyang People's Hospital of Jiangsu Province, Danyang, Jiangsu, China.ORCID 0000-0002-8524-2580
Government of Jiangsu Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gastric cancer (GC) is one of the most common malignant tumors in the world. As far as we know, no biomarker has been widely accepted for early diagnosis and prognosis prediction of GC. The purpose of this study is to find potential biomarkers to predict the prognosis of GC. The differentially expressed gene (DEG) was analyzed from GSE93774. Enrichr was used to analyze the gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, the enrichment of transcription factors (TF), miRNA, and kinase. GO analysis showed DEGs was enriched in the process of amino acid metabolism. Pathway results showed DEGs was mainly enriched in cell cycle. Propionyl CoA carboxylase alpha (PCCA), Enoyl coenzyme A hydratase short chain 1 (ECHS1), and 3-hydroxyacyl-CoA dehydrogenase (HADH) have prognostic value in patients with GC. ECHS1 and HADH genes were significantly associated with disease-free survival. There was a significant correlation between PCCA and overall survival rate. The results of this study suggest that PCCA, ECHS1, and HADH may be new biomarkers for predicting the prognosis of GC.

Indexed as

3-Hydroxyacyl-CoA DehydrogenaseEnoyl-CoA HydrataseMethylmalonyl-CoA DecarboxylaseStomach NeoplasmsBiomarkers, TumorGene Expression ProfilingHumansPrognosis3-Hydroxyacyl-CoA DehydrogenaseBiomarkers, TumorECHS1 protein, humanEnoyl-CoA HydrataseMethylmalonyl-CoA Decarboxylasebiomarkerdifferentially expressed genesGastric cancermicroarrayprognosis

Identifiers

PMID33881965
PMCPMC10358502
OpenAlexW3153802431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.