Evidence map›Paper›PMID 26975989›Full record

ArticleJournal of experimental & clinical cancer research : CR2016

Pancreatic cancer cell-derived IGFBP-3 contributes to muscle wasting.

Xiu-yan Huang, Zi-Li Huang, Ju-hong Yang, Yong-hua Xu, Jiu-Song Sun, Qi Zheng, Chunyao Wei, Wei Song, Zhou Yuan

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 18% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 58 citations in OpenAlex.

  1. Pooled it
  2. Cancer- and cardiac-induced cachexia: same fate through different inflammatory mediators?Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2022
    Pooled it
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  14. Gene model for the ortholog ofmicroPublication biology · 2024
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  19. Review
  20. Nutritional and Exercise Interventions in Cancer-Related Cachexia: An Extensive Narrative Review.International journal of environmental research and public health · 2022
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 2 countries.

Xiu-yan HuangDepartment of General Surgery, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, 200233, P.R. China. xyhuang1119@163.com.
Zi-Li HuangDepartment of Radiology, Xuhui Central Hospital, Shanghai, 200031, PR China.
Ju-hong YangCollaborative Innovation Center of Tianjin for Medical Epigenetics, Key Laboratory of Hormone and Development (Ministry of Health), Metabolic Disease Hospital & Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, 300070, China.
Yong-hua XuDepartment of Radiology, Xuhui Central Hospital, Shanghai, 200031, PR China.
Jiu-Song SunDepartment of Cancer Immunology and AIDS, Dana-Farber Cancer Institute, 450 Brookline Ave., Boston, MA, 02215, USA.
Qi ZhengDepartment of General Surgery, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, 200233, P.R. China.
Chunyao WeiHoward Hughes Medical Institute; Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA.
Wei SongDepartment of Genetics, Harvard Medical School, Boston, MA, 02115, USA.
Zhou YuanDepartment of General Surgery, Shanghai Jiaotong University Affiliated Sixth People's Hospital, Shanghai, 200233, P.R. China. zhouyuan201414@163.com.
Shanghai Sixth People's Hospital · CNShanghai Xuhui Central Hospital · CNDana-Farber Cancer Institute · USHarvard University · USMassachusetts General Hospital · USTianjin Medical University · CN

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

backgroundProgressive loss of skeletal muscle, termed muscle wasting, is a hallmark of cancer cachexia and contributes to weakness, reduced quality of life, as well as poor response to therapy. Previous studies have indicated that systemic host inflammatory response regarding tumor development results in muscle wasting. However, how tumor directly regulates muscle wasting via tumor-derived secreted proteins is still largely unknown.

methodsIn this study, we performed bioinformatics analysis in two datasets of pancreatic ductal adenocarcinoma, which causes cancer cachexia and muscle wasting with the highest prevalence, and uncovered that IGFBP3, which encodes IGF-binding protein-3 (IGFBP-3), is dramatically up-regulated in pancreatic tumor samples. We also verified the wasting effect of IGFBP-3 on C2C12 muscle cells with biochemical and genetic assays.

resultsIGFBP-3 potently leads to impaired myogenesis and enhanced muscle protein degradation, the major features of muscle wasting, via IGF signaling inhibition. Moreover, conditioned medium from Capan-1 pancreatic cancer cells, which contains abundant IGFBP-3, significantly induces muscle cell wasting. This wasting effect is potently alleviated by IGFBP3 knockdown in Capan-1 cells or IGFBP-3 antibody neutralization. Strikingly, compared to muscle cells, IGF signaling and proliferation rate of Capan-1 cells were rarely affected by IGFBP-3 treatment.

conclusionsOur results demonstrated that pancreatic cancer cells induce muscle wasting via IGFBP-3 production.

Indexed as

AnimalsCarcinoma, Pancreatic DuctalCell Line, TumorComputational BiologyCulture Media, ConditionedGene Expression Regulation, NeoplasticHumansInsulin-Like Growth Factor Binding Protein 3MiceMuscle DevelopmentMuscle WeaknessMyoblastsPancreatic NeoplasmsUp-RegulationCulture Media, ConditionedIGFBP3 protein, humanInsulin-Like Growth Factor Binding Protein 3

Identifiers

PMID26975989
PMCPMC4791758
OpenAlexW2299814449

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.