Evidence map›Paper›PMID 28735817›Full record

ReviewTrends in molecular medicine2017

Osteosarcoma: Molecular Pathogenesis and iPSC Modeling.

Yu-Hsuan Lin, Brittany E Jewell, Julian Gingold, Linchao Lu, Ruiying Zhao, Lisa L Wang, Dung-Fang Lee

Abstract readReview
In one paragraph

Review in Trends in molecular medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 97 papers.

0numbers the graph read from it
0cells of the map it votes in
97citing 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

97 citing papers in PubMed.

  1. Article
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  9. Decoding cancer etiology with cellular reprogramming.Current opinion in genetics & development · 2025
    Review
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  18. Regulation and Function of FOXC1 in Osteoblasts.Journal of developmental biology · 2023
    Article
  19. Article
  20. Review

37 more citing papers are in PubMed but not listed here.

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

7 authors.

Yu-Hsuan LinDepartment of Integrative Biology and Pharmacology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA; These authors contributed equally to this work.
Brittany E JewellDepartment of Integrative Biology and Pharmacology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA; These authors contributed equally to this work.
Julian GingoldWomen's Health Institute, Cleveland Clinic Foundation, Cleveland, OH 44195, USA; These authors contributed equally to this work.
Linchao LuTexas Children's Cancer Center, Department of Pediatrics, Section of Hematology/Oncology, Baylor College of Medicine, Houston, TX 77030, USA.
Ruiying ZhaoDepartment of Integrative Biology and Pharmacology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Lisa L WangTexas Children's Cancer Center, Department of Pediatrics, Section of Hematology/Oncology, Baylor College of Medicine, Houston, TX 77030, USA.
Dung-Fang LeeDepartment of Integrative Biology and Pharmacology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX 77030, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA; Center for Stem Cell and Regenerative Medicine, The Brown Foundation Institute of Molecular Medicine for the Prevention of Human Diseases, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Center for Precision Health, School of Biomedical Informatics and School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA. Electronic address: dung-fang.lee@uth.tmc.edu.

Funding

UNDERSTANDING FXTAS AMONG MALES WITH THE FMR1 PREMUTATIONP30HD024064 · NICHD · BAYLOR COLLEGE OF MEDICINE · PI ZOGHBI, HUDA Y · 1988 to 2013
$29.4M
The Role of RECQL4 in Bone Development and OsteosarcomaR01AR059063 · NIAMS · BAYLOR COLLEGE OF MEDICINE · PI WANG, LISA L · 2010 to 2014
$1.6M
Modeling p53 Mutant-Associated Cancer With LFS Patient-Derived iPSCsR00CA181496 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI LEE, DUNG-FANG · 2016 to 2018
$729k
Modeling p53 Mutant-Associated Cancer With LFS Patient-Derived iPSCsK99CA181496 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LEE, DUNG-FANG · 2014 to 2015
$203k
NCI NIH HHS K99 CA181496NCI NIH HHS R00 CA181496NIAMS NIH HHS R01 AR059063NICHD NIH HHS P30 HD024064
6 · The paper itself

Abstract

Rare hereditary disorders provide unequivocal evidence of the importance of genes in human disease pathogenesis. Familial syndromes that predispose to osteosarcomagenesis are invaluable in understanding the underlying genetics of this malignancy. Recently, patient-derived induced pluripotent stem cells (iPSCs) have been successfully utilized to model Li-Fraumeni syndrome (LFS)-associated bone malignancy, demonstrating that iPSCs can serve as an in vitro disease model to elucidate osteosarcoma etiology. We provide here an overview of osteosarcoma predisposition syndromes and review recently established iPSC disease models for these familial syndromes. Merging molecular information gathered from these models with the current knowledge of osteosarcoma biology will help us to gain a deeper understanding of the pathological mechanisms underlying osteosarcomagenesis and will potentially aid in the development of future patient therapies.

Indexed as

Bone NeoplasmsInduced Pluripotent Stem CellsLi-Fraumeni SyndromeModels, BiologicalOsteosarcomaAnimalsHumanscancer etiologyfamilial cancer syndromeinduced pluripotent stem cellosteosarcoma

Identifiers

PMID28735817
PMCPMC5558609

What OpenQuestion holds

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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.