Evidence map›Paper›PMID 31956955›Full record

ArticleApplied biochemistry and biotechnology2020

SNHG3 Functions as miRNA Sponge to Promote Breast Cancer Cells Growth Through the Metabolic Reprogramming.

Yan Li, Zhenhui Zhao, Wei Liu, Xun Li

Open access · hybridAbstract read
In one paragraph

Article in Applied biochemistry and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% 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

100 citing papers in PubMed, 1 synthesis or guideline pooled it, 130 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Metabolic reprogramming and plasticity of cancer stem cells.Frontiers in cell and developmental biology · 2026
    Review
  8. Review
  9. LncRNA SNHG3: a potential biomarker for human diseases.Frontiers in cell and developmental biology · 2026
    Review
  10. Review
  11. Targeting CAF-specific metabolic pathways in breast cancer.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. The prognostic and immune significance ofTranslational cancer research · 2025
    Article
  19. Review
  20. Article

40 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Yan LiBreast Internal Medicine Department, The 3rd Affiliated Teaching Hospital of XinJiang Medical University (Affiliated Cancer Hospital), Urumqi, 830011, China.ORCID https://orcid.org/0000-0001-5663-086X
Zhenhui ZhaoBreast Internal Medicine Department, The 3rd Affiliated Teaching Hospital of XinJiang Medical University (Affiliated Cancer Hospital), Urumqi, 830011, China.ORCID https://orcid.org/0000-0002-1827-6799
Wei LiuBreast Internal Medicine Department, The 3rd Affiliated Teaching Hospital of XinJiang Medical University (Affiliated Cancer Hospital), Urumqi, 830011, China.ORCID https://orcid.org/0000-0002-4106-3302
Xun LiBreast Internal Medicine Department, The 3rd Affiliated Teaching Hospital of XinJiang Medical University (Affiliated Cancer Hospital), Urumqi, 830011, China. lxxjmu@163.com.ORCID https://orcid.org/0000-0003-4987-5062
Xinjiang Medical University · CN

Funding

The Natural Science Foundation of Xinjiang Uygur Autonomous Region 2019D01C258
6 · The paper itself

Abstract

Cancer-associated fibroblasts (CAFs) are important ingredient in tumor microenvironment. The dynamic interplay between CAFs and cancer cells plays essential roles during tumor development and progression. However, the mechanisms of intercellular communication between CAFs and cancer cells remain largely unknown. We characterized exosomes secreted from breast cancer patient-derived CAFs by transmission electron microscopy. The expression of SNHG3, miR-330-5p, and PKM (Pyruvate Kinase M1/M2) was examined by real-time QPCR and immunoblot. The function of SNHG3 on the growth and metabolism of tumor cells was used by CCK8 and mitochondrial oxygen consumption assays. The binding between SNHG3, miR-330-5p, and PKM was examined by dual luciferase reporter assays. Orthotopical xenograft of breast tumor experiments was performed to determine the function of SNHG3 in vivo. We demonstrated that exosomes secreted from CAFs reprogram the metabolic pathways after tumor cells uptake the exosomes. CAF-secreted exosomal lncRNA SNHG3 served as a molecular sponge for miR-330-5p in breast cancer cells. Moreover, PKM could be targeted by miR-330-5p and was controlled by SNHG3 in breast cancer cells. Mechanistically, SNHG3 knockdown in CAF-secreted exosomes suppressed glycolysis metabolism and cell proliferation by the increase of miR-330-5p and decrease of PKM expression in tumor cells. SNHG3 functions as a miR-330-5p sponge to positively regulate PKM expression, inhibit mitochondrial oxidative phosphorylation, increase glycolysis carboxylation, and enhance breast tumor cell proliferation. Overall, SNHG3 could play a major role in the development and progression of breast cancer and support the therapeutic potential of targeting communication between cancer cells and tumor microenvironment.

Indexed as

Gene Expression Regulation, NeoplasticAnimalsBreast NeoplasmsCell Line, TumorCell SurvivalDisease ProgressionExosomesFemaleFibroblastsHumansInflammationMCF-7 CellsMiceMice, NudeMicroRNAsMicroscopy, Electron, TransmissionMicroRNAsMIRN330 microRNA, humanPyruvate KinaseRNA, Long NoncodingBreast cancerCancer-associatedFibroblastsMetabolism reprogrammiR-330SNHG3

Identifiers

PMID31956955
PMCPMC7320061
OpenAlexW3003001150

What OpenQuestion 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 OpenQuestion graph.