Evidence map›Paper›PMID 30767161›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2019

Elevated expression of GNAS promotes breast cancer cell proliferation and migration via the PI3K/AKT/Snail1/E-cadherin axis.

X Jin, L Zhu, Z Cui, J Tang, M Xie, G Ren

Open access · hybridAbstract read
PubMed Publisher
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

50 citing papers in PubMed, 76 citations in OpenAlex.

  1. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
    Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images.Proceedings. IEEE Computer Society Conference on Computer Vision and Pattern Recognition · 2025
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Molecular and Clinicopathologic Impact of GNAS Variants Across Solid Tumors.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2024
    Article
  19. Article
  20. 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

6 authors at 2 institutions in 1 country.

X JinDepartment of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, 400016, China.
L ZhuDepartment of Breast Surgery, The First People's Hospital of Yibin, Yibin, Sichuan, China.
Z CuiDepartment of Breast Surgery, The First People's Hospital of Yibin, Yibin, Sichuan, China.
J TangDepartment of Breast Surgery, The First People's Hospital of Yibin, Yibin, Sichuan, China.
M XieDepartment of Breast Surgery, The First People's Hospital of Yibin, Yibin, Sichuan, China.
G RenDepartment of Endocrine and Breast Surgery, The First Affiliated Hospital of Chongqing Medical University, No. 1, Youyi Road, Yuanjiagang, Yuzhong District, Chongqing, 400016, China. guoshengren65@163.com.ORCID http://orcid.org/0000-0001-8561-1676
Second People’s Hospital of Yibin · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAlthough it has been well established that G protein plays pivotal roles in physiologic or pathologic conditions, including cancer formation, its role in breast cancer, especially specific subunits, remains largely unknown. Our work aimed to evaluate the correlation of the G protein alpha subunit (GNAS) with breast cancer and to investigate the underlying molecular mechanism.

methodsThe expression of GNAS was determined by breast tumor tissue microarray of 150 patients with complete follow-up information. The correlation between GNAS expression and clinical features was assessed. CCK8, EdU incorporation, flow cytometry, wound healing, transwell, western blot and tumor formation assays were carried out in nude mice to study the biological function of GNAS and the underlying molecular mechanism in breast cancer by silencing GNAS using a specific siRNA.

resultsHigh GNAS expression showed a close correlation with a reduced overall survival (p = 0.021), frequent distal metastasis (p = 0.026), advanced clinical stage (p = 0.001), stronger cell proliferation (ki67

conclusionThe data suggested that GNAS promoted breast cancer cell proliferation and migration (EMT) through the PI3K/AKT/Snail1/E-cadherin signaling pathway. These findings also indicate that GNAS can serve as a potential prognostic indicator and novel therapeutic target in breast cancer.

Indexed as

Cell MovementCell ProliferationGene Expression Regulation, NeoplasticAnimalsAntigens, CDApoptosisBiomarkers, TumorBreast NeoplasmsCadherinsChromograninsEpithelial-Mesenchymal TransitionFemaleGTP-Binding Protein alpha Subunits, GsHumansMiceMice, Inbred BALB CAntigens, CDBiomarkers, TumorCadherinsCDH1 protein, humanChromograninsGNAS protein, humanGTP-Binding Protein alpha Subunits, GsPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktSNAI1 protein, humanSnail Family Transcription FactorsBreast cancerCell migrationCell proliferationGNASMetastasisPI3K/AKT signaling

Identifiers

PMID30767161
OpenAlexW2912879817

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.