Evidence map›Paper›PMID 30944639›Full record

ArticleOncology letters2019

Candidate genes and potential mechanisms for chemoradiotherapy sensitivity in locally advanced rectal cancer.

Chunsheng Li, Changyong E, Yangyang Zhou, Wei Yu

Abstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Chunsheng LiDepartment of Gastrointestinal Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Changyong EDepartment of Hepatobiliary and Pancreatic Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.
Yangyang ZhouDepartment of Neurology, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Wei YuDepartment of Gastrointestinal Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin 130033, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to investigate candidate genes for chemoradiotherapy (CRT) sensitivity in patients with locally advanced rectal cancer (LARC), and the potential mechanisms of their action. A microarray dataset (GSE98959) was obtained from the Gene Expression Omnibus database that included microRNA (miRNA, miR) expression profiling of 22 samples from patients with LARC who had received preoperative radiotherapy and chemotherapy. Of these patients, 10 responded to the treatment and 12 did not. Differentially expressed miRNAs (DEMs) were identified, followed by the construction of an miRNA-gene network. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) function analyses were performed on the target genes in the miRNA-gene network. Furthermore, a protein-protein interaction (PPI) network was constructed on the basis of the target genes, followed by GO function enrichment and KEGG pathway analysis. A total of 30 DEMs were identified between the responder and non-responder groups. Thiamine metabolism (including miR-371a-3p) was the pathway with the highest enrichment of DEMs. The pathway that was most markedly enriched in the target genes of upregulated miRNAs was the pluripotency of stem cells pathway, as indicated by phosphoinositide-4,5-bisphosphate 3-kinase γ (

Indexed as

chemoradiotherapy sensitivityfunction and pathway analysislocally advanced rectal cancermicroRNA-gene regulation networkprotein-protein interaction network

Identifiers

PMID30944639
PMCPMC6444485

What OpenQuestion holds

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Registered trials

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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.