Evidence map›Paper›PMID 30883028›Full record

ArticleCancer medicine2019

SNP mutation-related genes in breast cancer for monitoring and prognosis of patients: A study based on the TCGA database.

Chundi Gao, Jing Zhuang, Chao Zhou, Huayao Li, Cun Liu, Lijuan Liu, Fubin Feng, Ruijuan Liu, Changgang Sun

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 56 citations in OpenAlex.

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  13. SDC4-rs1981429 and ATM-rs228590 may provide early biomarkers of breast cancer risk.Journal of cancer research and clinical oncology · 2023
    Article
  14. Evaluating the association of rs6983267 polymorphism of theMolecular biology research communications · 2023
    Article
  15. Delineating highly transcribed noncoding elements landscape in breast cancer.Computational and structural biotechnology journal · 2023
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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

9 authors at 2 institutions in 1 country.

Chundi GaoCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, PR China.
Jing ZhuangDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.
Chao ZhouDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.
Huayao LiCollege of First Clinical Medicine, Shandong University of Traditional Chinese Medicine, Jinan, PR China.
Cun LiuCollege of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, PR China.
Lijuan LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.
Fubin FengDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.
Ruijuan LiuDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.
Changgang SunDepartment of Oncology, Weifang Traditional Chinese Hospital, Weifang, PR China.ORCID 0000-0003-0778-8788
Weifang Medical University · CNShandong University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in cancer biology have allowed early diagnosis and more comprehensive treatment of breast cancer (BC). However, it remains the most common cause of cancer death in women worldwide because of its strong invasiveness and metastasis. In-depth study of the molecular pathogenesis of BC and of relevant prognostic markers would improve the quality of life and prognosis of patients. In this study, bioinformatics analysis of SNP-related data from BC patients provided in the TCGA database revealed that six mutant genes (NCOR1, GATA3, CDH1, ATM, AKT1, and PTEN) were significantly associated with the corresponding expression levels of the proteins. The proteins were involved in multiple pathways related to the development of cancer, including the PI3K-Akt signaling pathway, pertinent microRNAs, and the MAPK signaling pathway. In addition, overall survival and recurrence-free survival analysis revealed the close associations of the expression of GATA3, NCOR1, CDH1, and ATM with survival of BC patients. Therefore, detecting these gene mutations and exploring their corresponding expression could be valuable in predicting the prognosis of patients. The results of the high-throughput data mining provide important fundamental bioinformatics information and a relevant theoretical basis for further exploring the molecular pathogenesis of BC and assessing the prognosis of patients.

Indexed as

Gene Regulatory NetworksPolymorphism, Single NucleotideBiomarkers, TumorBreast NeoplasmsDatabases, GeneticEarly Detection of CancerFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMicroRNAsPrognosisProtein Interaction MapsSequence Analysis, DNASignal TransductionSurvival AnalysisBiomarkers, TumorMicroRNAsbioinformatics analysisbiomarkersbreast cancerprognosissingle nucleotide polymorphisms

Identifiers

PMID30883028
PMCPMC6537087
OpenAlexW2922487719

What Socratic 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 Socratic graph.