Emerging next-generation sequencing-based discoveries for targeted osteosarcoma therapy.


Journal

Cancer letters
ISSN: 1872-7980
Titre abrégé: Cancer Lett
Pays: Ireland
ID NLM: 7600053

Informations de publication

Date de publication:
01 04 2020
Historique:
received: 19 11 2019
revised: 18 01 2020
accepted: 20 01 2020
pubmed: 29 1 2020
medline: 16 12 2020
entrez: 29 1 2020
Statut: ppublish

Résumé

Osteosarcoma (OS) is the most common primary bone malignancy and is frequently lethal via metastasis to the lung. While surgical techniques and adjuvant chemotherapies have emerged to combat this deadly cancer, the 5-year survival rate has plateaued over the past four decades. Therapeutic progress has been notably poor because past technologies have not been able to reveal obscured OS biomarkers and targets. With the advent and implementation of large-scale next-generation sequencing (NGS) studies, various somatic mutations and copy number changes involved in OS progression and metastasis have surfaced. These findings have significantly expanded the amount of genome-informed pathways and candidate genes suitable for targeting in pre-clinical models. Furthermore, NGS analyses comparing primary and matched pulmonary metastatic tumor tissues have catalogued previously unknown prognostic biomarkers in OS. In this review, we delineate the most recent findings in NGS for OS therapy and how this technology has advanced personalized therapy.

Identifiants

pubmed: 31987920
pii: S0304-3835(20)30034-3
doi: 10.1016/j.canlet.2020.01.020
pii:
doi:

Substances chimiques

Antineoplastic Agents 0
Biomarkers, Tumor 0

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

158-167

Subventions

Organisme : NCI NIH HHS
ID : U01 CA151452
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that there are no conflict of interest.

Auteurs

Jie Zhao (J)

First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, 250355, China; Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA; Department of Orthopaedic Surgery, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, Shandong, 250031, China. Electronic address: 1475486295@qq.com.

Dylan C Dean (DC)

Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA. Electronic address: DDean@mednet.ucla.edu.

Francis J Hornicek (FJ)

Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA. Electronic address: fhornicek@mednet.ucla.edu.

Xiuchun Yu (X)

Department of Orthopaedic Surgery, The 960th Hospital of the PLA Joint Logistics Support Force, Jinan, Shandong, 250031, China. Electronic address: 13969132190@163.com.

Zhenfeng Duan (Z)

Department of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA. Electronic address: zduan@mednet.ucla.edu.

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Classifications MeSH