Evidence map›Paper›PMID 33080569›Full record

ArticleAging2020

Identification of long-term survival-associated gene in breast cancer.

Shipeng Ning, Hui Li, Kun Qiao, Qin Wang, Meiying Shen, Yujuan Kang, Yanling Yin, Jiena Liu, Lei Liu, Siyu Hou and 3 more

Open access · greenAbstract read
In one paragraph

Article in Aging, 2020. 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
1.3field-weighted citation impact, top 21% 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, 28 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Ran GTPase and Its Importance in Cellular Signaling and Malignant Phenotype.International journal of molecular sciences · 2023
    Review
  8. Article
  9. Article
  10. Identification of CD4Frontiers in immunology · 2022
    Article
  11. Article
  12. A BIRC5Cancer informatics · 2022
    Article
  13. Article
  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

13 authors at 3 institutions in 1 country.

Shipeng NingHarbin Medical University, Harbin 150081, China.
Hui LiHarbin Medical University, Harbin 150081, China.
Kun QiaoHarbin Medical University, Harbin 150081, China.
Qin WangHarbin Medical University, Harbin 150081, China.
Meiying ShenHarbin Medical University, Harbin 150081, China.
Yujuan KangHarbin Medical University, Harbin 150081, China.
Yanling YinHarbin Medical University, Harbin 150081, China.
Jiena LiuHarbin Medical University, Harbin 150081, China.
Lei LiuHarbin Medical University, Harbin 150081, China.
Siyu HouHarbin Medical University, Harbin 150081, China.
Jianyu WangHarbin Medical University, Harbin 150081, China.
Shouping XuHarbin Medical University, Harbin 150081, China.
Da PangHarbin Medical University, Harbin 150081, China.
Third Affiliated Hospital of Harbin Medical University · CNHarbin Medical University · CNHeilongjiang Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer patients at the same stage may show different clinical prognoses or different therapeutic effects of systemic therapy. Differentially expressed genes of breast cancer were identified from GSE42568. Through survival, receiver operating characteristic (ROC) curve, random forest, GSVA and a Cox regression model analyses, genes were identified that could be associated with survival time in breast cancer. The molecular mechanism was identified by enrichment, GSEA, methylation and SNV analyses. Then, the expression of a key gene was verified by the TCGA dataset and RT-qPCR, Western blot, and immunohistochemistry. We identified 784 genes related to the 5-year overall survival time of breast cancer. Through ROC curve and random forest analysis, 10 prognostic genes were screened. These were integrated into a complex by GSVA, and high expression of the complex significantly promoted the recurrence-free survival of patients. In addition, key genes were related to immune and metabolic-related functions. Importantly, we identified methylation of MEX3A and TBC1D 9 and mutations events. Finally, the expression of UGCG was verified by the TCGA dataset and by experimental methods in our own samples. These results indicate that 10 genes may be potential biomarkers and therapeutic targets for long-term survival in breast cancer, especially UGCG.

Indexed as

Cancer SurvivorsGene Expression ProfilingTranscriptomeBiomarkers, TumorBreast NeoplasmsCalcium-Binding ProteinsDatabases, GeneticDNA MethylationFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksGlucosyltransferasesHumansMembrane ProteinsNomogramsPhosphoproteinsBiomarkers, TumorCalcium-Binding Proteinsceramide glucosyltransferaseGlucosyltransferasesMembrane ProteinsMEX3A protein, humanPhosphoproteinsRNA-Binding ProteinsTBC1D9 protein, human5-year survival timebreast cancercomplexenrichmentUGCG

Identifiers

PMID33080569
PMCPMC7655188
OpenAlexW3093567771

What OpenQuestion holds

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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 OpenQuestion graph.