Evidence map›Paper›PMID 26849235›Full record

ArticleOncotarget2016

Heparanase promotes myeloma progression by inducing mesenchymal features and motility of myeloma cells.

Juan Li, Qianying Pan, Patrick D Rowan, Timothy N Trotter, Deniz Peker, Kellie M Regal, Amjad Javed, Larry J Suva, Yang Yang

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Heparanase and the hallmarks of cancer.Journal of translational medicine · 2020
    Review
  7. Article
  8. Review
  9. 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

9 authors at 3 institutions in 2 countries.

Juan LiDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
Qianying PanDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
Patrick D RowanDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
Timothy N TrotterDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
Deniz PekerDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
Kellie M RegalDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
Amjad JavedComprehensive Cancer Center and The Center for Metabolic Bone Disease, University of Alabama at Birmingham, Birmingham, AL, USA.
Larry J SuvaDepartment of Veterinary Physiology and Pharmacology, College of Veterinary Medicine and Biomedical Sciences, Texas A & M University, College Station, TX, USA.
Yang YangDepartment of Pathology, University of Alabama at Birmingham, Birmingham, AL, USA.
University of Alabama at Birmingham · USTexas A&M University · USThe First Affiliated Hospital, Sun Yat-sen University · CN

Funding

XRAY CRYSTALLOGRAPHYP30CA013148 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Robert S Welner · 1985 to 2026
$165.9M
Sp7 Mediated Control of Runx2 Function for Osteoblast DifferentiationR01AR062091 · NIAMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JAVED, AMJAD · 2012 to 2025
$3.4M
Breast Cancer Bone MetastasisR01CA166060 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI SUVA, LARRY J. · 2013 to 2017
$1.5M
Heparanase regulation of osteolysis in multiple myeloma.R01CA151538 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YANG, YANG · 2011 to 2015
$1.4M
Runx2 Controlled Adipocytic Differentiation in Aging MusculoskeletonR01AG030228 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI JAVED, AMJAD · 2006 to 2009
$952k
NCI NIH HHS P30 CA013148NCI NIH HHS R01 CA151538NCI NIH HHS R01 CA166060NIAMS NIH HHS R01 AR062091NIA NIH HHS R01 AG030228
6 · The paper itself

Abstract

Bone dissemination and bone disease occur in approximately 80% of patients with multiple myeloma (MM) and are a major cause of patient mortality. We previously demonstrated that MM cell-derived heparanase (HPSE) is a major driver of MM dissemination to and progression in new bone sites. However the mechanism(s) by which HPSE promotes MM progression remains unclear. In the present study, we investigated the involvement of mesenchymal features in HPSE-promoted MM progression in bone. Using a combination of molecular, biochemical, cellular, and in vivo approaches, we demonstrated that (1) HPSE enhanced the expression of mesenchymal markers in both MM and vascular endothelial cells; (2) HPSE expression in patient myeloma cells positively correlated with the expression of the mesenchymal markers vimentin and fibronectin. Additional mechanistic studies revealed that the enhanced mesenchymal-like phenotype induced by HPSE in MM cells is due, at least in part, to the stimulation of the ERK signaling pathway. Finally, knockdown of vimentin in HPSE expressing MM cells resulted in significantly attenuated MM cell dissemination and tumor growth in vivo. Collectively, these data demonstrate that the mesenchymal features induced by HPSE in MM cells contribute to enhanced tumor cell motility and bone-dissemination.

Indexed as

AnimalsBone NeoplasmsCell Growth ProcessesCell MovementDisease ProgressionEndothelial CellsGlucuronidaseHeparanaseHeparinHeterograftsHumansMaleMAP Kinase Signaling SystemMesenchymal Stem CellsMiceMice, SCIDGlucuronidaseHeparanaseHeparinSST 0001Vimentinbone disseminationheparanasemesenchymal markermultiple myelomatumor microenvironment

Identifiers

PMID26849235
PMCPMC4905474
OpenAlexW2265789527

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.