Evidence map›Paper›PMID 28802099›Full record

ArticleMedical science monitor : international medical journal of experimental and clinical research2017

Cancer-Associated Fibroblasts Autophagy Enhances Progression of Triple-Negative Breast Cancer Cells.

Mengchuan Wang, Jian Zhang, Yizhe Huang, Shufeng Ji, Guoli Shao, Shaobo Feng, Danxun Chen, Kankan Zhao, Zixiang Wang, Aiguo Wu

Open access · hybridAbstract read
In one paragraph

Article in Medical science monitor : international medical journal of experimental and clinical research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.9field-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

30 citing papers in PubMed, 68 citations in OpenAlex.

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  8. Article
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  10. Article
  11. Tumour Stem Cells in Breast Cancer.International journal of molecular sciences · 2022
    Review
  12. Article
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  14. Review
  15. Review
  16. Review
  17. Breast Cancer CAFs: Spectrum of Phenotypes and Promising Targeting Avenues.International journal of molecular sciences · 2021
    Review
  18. Article
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  20. Review
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

10 authors at 2 institutions in 1 country.

Mengchuan WangDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Jian ZhangDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Yizhe HuangDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Shufeng JiDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Guoli ShaoDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Shaobo FengDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Danxun ChenDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Kankan ZhaoDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Zixiang WangDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Aiguo WuDepartment of General Surgery, Zhujiang Hospital of Southern Medical University, Guangzhou, Guangdong, China (mainland).
Zhujiang Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND Cancer-associated fibroblasts (CAFs) are key factors in malignant tumor initiation, progression, and metastasis. However, the effect of CAFs autophagy on triple-negative breast cancer (TNBC) cells is not clear. In this study, the growth effect of TNBC cells regulated by CAFs autophagy was evaluated. MATERIAL AND METHODS CAFs were obtained from invasive TNBC tumors and identified by Western blot and immunofluorescence staining assay. CAFs were co-cultured with TNBC cells, and migration and invasion were evaluated by Matrigel-coated Transwell and Transwell inserts. TNBC cells growth was detected by MTT assay, and epithelial-mesenchymal transition (EMT) regulated by CAFs was evaluated by Western blot assay. RESULTS CAFs were identified by the high expression of α-smooth muscle actin (α-SMA) protein. Autophagy-relevant Beclin 1 and LC3-II/I protein conversion levels in CAFs were higher than those in NFs (P<0.05). TNBC cells migration, invasion, and proliferation levels were significantly improved in the CAFs-conditioned medium (CAFs-CM) group, compared with the other 3 groups (P<0.05). TNBC cells vimentin and N-cadherin protein levels were upregulated and E-cadherin protein level was downregulated in the CAFs-CM group compared with the control group (P<0.05). Further study indicated b-catenin and P-GSK-3β protein levels, which are the key proteins in the Wnt/β-catenin pathway, were upregulated in the CAFs-CM group compared with the control group (P<0.05). CONCLUSIONS Our data demonstrated CAFs autophagy can enhance TNBC cell migration, invasion, and proliferation, and CAFs autophagy can induce TNBC cells to engage in the EMT process through the Wnt/β-catenin pathway.

Indexed as

ActinsAutophagybeta CateninCadherinsCancer-Associated FibroblastsCell CycleCell Line, TumorCell MovementCell ProliferationChinaDisease ProgressionEpithelial-Mesenchymal TransitionFemaleFibroblastsHumansMyocytes, Smooth MuscleACTA2 protein, humanActinsbeta CateninCadherins

Identifiers

PMID28802099
PMCPMC5565237
OpenAlexW2742952151

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.