Evidence map›Paper›PMID 31312023›Full record

ArticleOncogene2019

Circulating IGF-1 promotes prostate adenocarcinoma via FOXO3A/BIM signaling in a double-transgenic mouse model.

Shuang Wang, Ning Wang, Bin Yu, Mingxing Cao, Yanlong Wang, Yuqi Guo, Yanli Zhang, Ping Zhang, Xiao Yu, Shujing Wang and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Oncogene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  8. Review
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  10. Androgens, aging, and prostate health.Reviews in endocrine & metabolic disorders · 2022
    Review
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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

14 authors at 4 institutions in 2 countries.

Shuang WangInstitute of Genome Engineered Animal Models for Human Diseases, Dalian Medical University, Dalian, Liaoning, 116044, China.
Ning WangInstitute of Genome Engineered Animal Models for Human Diseases, Dalian Medical University, Dalian, Liaoning, 116044, China.
Bin YuInstitute of Genome Engineered Animal Models for Human Diseases, Dalian Medical University, Dalian, Liaoning, 116044, China.
Mingxing CaoInstitute of Genome Engineered Animal Models for Human Diseases, Dalian Medical University, Dalian, Liaoning, 116044, China.
Yanlong WangDepartment of Urology Surgery, Dalian Municipal Central Hospital Affiliated of Dalian Medical University, Dalian, Liaoning, 116033, China.
Yuqi GuoDepartment of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, NY, 10010, USA.
Yanli ZhangDepartment of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, NY, 10010, USA.
Ping ZhangDepartment of Endocrinology, Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, 116027, China.
Xiao YuDepartment of Pathology, Dalian Medical University, Dalian, Liaoning, 116044, China.
Shujing WangDepartment of Biochemistry and Molecular Biology, Dalian Medical University, Dalian, Liaoning, 116044, China.
Li ZengInstitute of Genome Engineered Animal Models for Human Diseases, Dalian Medical University, Dalian, Liaoning, 116044, China.
Bin LiangKey Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences and Yunnan Province, CAS Center for Excellence in Animal Evolution and Genetics, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan, 650223, China. liangb@mail.kiz.ac.cn.
Xin LiDepartment of Basic Science and Craniofacial Biology, New York University College of Dentistry, New York, NY, 10010, USA. xl15@nyu.edu.
Yingjie WuInstitute of Genome Engineered Animal Models for Human Diseases, Dalian Medical University, Dalian, Liaoning, 116044, China. yingjiewu@dmu.edu.cn.ORCID http://orcid.org/0000-0002-2694-1971
Dalian Medical University · CNNew York University · USKunming Institute of Zoology · CNNYU Langone Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High circulating insulin-like growth factor-1 (IGF-1) levels increase the risk of prostate cancer. However, whether circulating IGF-1 levels directly aggravate prostate cancer remains elusive. In this study, we crossed a transgenic prostate adenocarcinoma mouse model, Hi-Myc mice, with a liver-specific IGF-1 transgenic mouse model (HIT) to increase their circulating IGF-1 levels to investigate the impact of the elevated circulating IGF-1 on prostate cancer development in vivo. The Hi-Myc/HIT mice had increased incidence and invasiveness of prostate cancer. IGF-1 elevation led to the accumulation of FOXO3A in the cytosol of prostate tumor cells and downregulation of its target gene Bim, which resulted in the apoptosis inhibition and prostate cancer overgrowth. The differential expressions of IGF-1R, FOXO3A, and BIM in the benign versus malignant prostate tissues supported a negative association between the FOXO3A/BIM axis and IGF-1R expression in human prostate adenocarcinoma. Our findings suggest that targeting the IGF-1/FOXO3A/BIM signaling axis could be an attractive strategy for prostate cancer prevention or treatment.

Indexed as

AdenocarcinomaProstatic NeoplasmsAnimalsBcl-2-Like Protein 11Cell Line, TumorCohort StudiesDisease Models, AnimalDisease ProgressionForkhead Box Protein O3Gene Expression Regulation, NeoplasticHumansInsulin-Like Growth Factor IMaleMiceMice, Inbred BALB CMice, NudeBcl-2-Like Protein 11Forkhead Box Protein O3FOXO3 protein, humanFoxO3 protein, mouseIGF1 protein, humaninsulin-like growth factor-1, mouseInsulin-Like Growth Factor I

Identifiers

PMID31312023
OpenAlexW2959080674

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.