Evidence map›Paper›PMID 30365046›Full record

ArticleInternational journal of oncology2019

Identification of FOXM1 as a specific marker for triple‑negative breast cancer.

Yanli Tan, Qixue Wang, Yingbin Xie, Xiaoxia Qiao, Shun Zhang, Yanan Wang, Yongbin Yang, Bo Zhang

Open access · hybridAbstract read
In one paragraph

Article in International journal of oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
3.4field-weighted citation impact, top 6% 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

38 citing papers in PubMed, 64 citations in OpenAlex.

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  14. Angioregulatory microRNAs in breast cancerJournal of advanced research · 2022
    Review
  15. Structure-Activity Relationship ofPharmaceuticals (Basel, Switzerland) · 2022
    Article
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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

8 authors at 3 institutions in 1 country.

Yanli TanDepartment of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, P.R. China.
Qixue WangDepartment of Neurosurgery, Tianjin Neurological Institute, Tianjin 300052, P.R. China.
Yingbin XieDepartment of Neurosurgery, Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China.
Xiaoxia QiaoDepartment of Neurosurgery, Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China.
Shun ZhangDepartment of Pathology, Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China.
Yanan WangDepartment of Pathology, Affiliated Hospital of Hebei University, Baoding, Hebei 071000, P.R. China.
Yongbin YangDepartment of Pathology, Hebei University Medical College, Baoding, Hebei 071000, P.R. China.
Bo ZhangDepartment of Pathology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing 100191, P.R. China.
Affiliated Hospital of Hebei University · CNPeking University · CNHebei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to identify the therapeutic role of the forkhead box M1 (FOXM1)‑associated pathway in triple‑negative breast cancer (TNBC). Using a Cancer Landscapes‑based analysis, a gene regulatory network model was constructed. The present results demonstrated that FOXM1 occupies a key position in gene networks and is a critical regulatory gene in breast cancer. Using breast carcinoma gene expression data from The Cancer Genome Atlas, it was identified that FOXM1 expression was increased in the basal‑like breast cancer subtype compared with other breast cancer subtypes. RNA‑sequencing analysis of MDA‑MB‑231 cells treated with 4 and 10 µl/ml Thiostrepton identified 662 and 5,888 significantly differentially expressed genes, respectively. The Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses demonstrated that FOXM1 was highly associated with multiple biological processes and was markedly associated with metabolic pathways in TNBC. The use of Search Tool for the Retrieval of Interacting Genes/Proteins provided a critical assessment and integration of protein‑protein interactions, and demonstrated the multiple important functions of FOXM1 in TNBC. Real‑time cell analysis, reverse transcription‑quantitative polymerase chain reaction and immunofluorescence staining were used to assess the anti‑tumor activity of Thiostrepton in TNBC cells in vitro. The present results identified that suppression of FOXM1 using Thiostrepton inhibited MDA‑MB‑231 cell proliferation and the expression of cell cycle‑associated genes, including cyclin A2, cyclin B2, checkpoint kinase 1, centrosomal protein 55 and polo like kinase 1. Immunofluorescence staining analysis demonstrated that vimentin, filamentous actin and zinc finger E‑box‑binding homeobox 1 were all decreased following treatment with Thiostrepton. Furthermore, a BALB/C nude mouse subcutaneous xenograft model was used to verify the function of FOXM1 in vivo. The present results demonstrated that FOXM1 inhibition significantly suppressed MDA‑MB‑231 cell tumorigenesis in vivo. Overall, the present results suggested that FOXM1 is a key gene that serves important roles in multiple biological processes in TNBC and that it may serve as a novel therapeutic target in TNBC.

Indexed as

Gene Regulatory NetworksUp-RegulationAnimalsBiomarkers, TumorCell CycleCell Line, TumorCell ProliferationCell SurvivalForkhead Box Protein M1Gene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceMice, Inbred BALB CMice, NudeSequence Analysis, RNABiomarkers, TumorForkhead Box Protein M1FOXM1 protein, humanThiostreptonbreast cancerforkhead box M1molecularsubtypetriple-negative breast cancer

Identifiers

PMID30365046
PMCPMC6254995
OpenAlexW2897127530

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.