Evidence map›Paper›PMID 28454465›Full record

ArticleOncology letters2017

Microarray based analysis of gene regulation by mesenchymal stem cells in breast cancer.

Ming Zhang, Chang E Gao, Wen Hui Li, Yi Yang, Li Chang, Jian Dong, Yan Xin Ren, De Dian Chen

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.4field-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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors at 1 institution in 1 country.

Ming ZhangDepartment of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China.
Chang E GaoDepartment of Medical Oncology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650032, P.R. China.
Wen Hui LiDepartment of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China.
Yi YangDepartment of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China.
Li ChangDepartment of Radiation Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China.
Jian DongInstitute of Oncology, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China.
Yan Xin RenDepartment of Head and Neck Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China.
De Dian ChenDepartment of Breast Surgery, The Third Affiliated Hospital of Kunming Medical University, Kunming, Yunnan 650118, P.R. China.
Kunming Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is one of the most common malignant tumors with a high case-fatality rate among women. The present study aimed to investigate the effects of mesenchymal stem cells (MSCs) on breast cancer by exploring the potential underlying molecular mechanisms. The expression profile of GSE43306, which refers to MDA-MB-231 cells with or without a 1:1 ratio of MSCs, was downloaded from Gene Expression Omnibus database for differentially expressed gene (DEG) screening. The Database for Annotation, Visualization and Integrated Discovery was used for gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis for DEGs. The protein-protein interactional (PPI) network of DEGs was constructed using the Search Tool for the Retrieval of Interacting Genes/Proteins. The data was subsequently analyzed using molecular complex detection for sub-network mining of modules. Finally, DEGs in modules were analyzed using GO and KEGG pathway enrichment analyses. A total of 291 DEGs including 193 upregulated and 98 downregulated DEGs were obtained. Upregulated DEGs were primarily enriched in pathways including response to wounding (P=5.92×10

Indexed as

beneficial effectsbreast cancermesenchymal stem cellsprotein-protein interaction network

Identifiers

PMID28454465
PMCPMC5403575
OpenAlexW2590642758

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.