Evidence map›Paper›PMID 38885076›Full record

ArticleAging2024

Notoginsenoside R1 (NGR1) regulates the AGE-RAGE signaling pathway by inhibiting RUNX2 expression to accelerate ferroptosis in breast cancer cells.

Wenxin Li, Yan Guo, Zhuangyu Xu, Fubo Li, Yi Dong, Fan Xu

Abstract read
In one paragraph

Article in Aging, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Notoginsenoside R1, a Metabolite fromMolecules (Basel, Switzerland) · 2025
    Article
  6. 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.

Wenxin LiDepartments of Oncology, Affiliated Hospital of Chengde Medical University, Chengde, China.
Yan GuoDepartments of Oncology, Affiliated Hospital of Chengde Medical University, Chengde, China.
Zhuangyu XuDepartments of Oncology, Affiliated Hospital of Chengde Medical University, Chengde, China.
Fubo LiDepartments of Oncology, Affiliated Hospital of Chengde Medical University, Chengde, China.
Yi DongDepartments of Oncology, Affiliated Hospital of Chengde Medical University, Chengde, China.
Fan XuDepartments of Oncology, Affiliated Hospital of Chengde Medical University, Chengde, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ferroptosis is a new way of cell death, and stimulating the process of cell ferroptosis is a new strategy to treat breast cancer. NGR1 has good anti-cancer activity and is able to slow the progression of breast cancer. However, NGR1 has not been reported in the field related to ferroptosis. By searching the online database for potential targets of NGR1 and the breast cancer disease database, among 11 intersecting genes we focused on Runt-related transcription factor 2 (RUNX2), which is highly expressed in breast cancer, and KEGG pathway enrichment showed that the intersecting genes were mainly enriched in the AGE (advanced glycosylation end products)-RAGE (receptor of AGEs) signaling pathway. After that, we constructed overexpression and down-regulation breast cancer cell lines of RUNX2

Indexed as

Breast NeoplasmsCore Binding Factor Alpha 1 SubunitFerroptosisSignal TransductionCell Line, TumorFemaleGene Expression Regulation, NeoplasticGinsenosidesGlycation End Products, AdvancedHumansMCF-7 CellsReceptor for Advanced Glycation End ProductsCore Binding Factor Alpha 1 SubunitGinsenosidesGlycation End Products, AdvancedReceptor for Advanced Glycation End ProductsRUNX2 protein, humanAGE-RAGEBRCAferroptosisNotoginsenoside R1RUNX2

Identifiers

PMID38885076
PMCPMC11236304

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.