Early Detection of Pancreatic Intraepithelial Neoplasias (PanINs) in Transgenic Mouse Model by Hyperpolarized


Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
25 May 2020
Historique:
received: 01 04 2020
revised: 20 05 2020
accepted: 22 05 2020
entrez: 30 5 2020
pubmed: 30 5 2020
medline: 18 2 2021
Statut: epublish

Résumé

While pancreatic cancer (PC) survival rates have recently shown modest improvement, the disease remains largely incurable. Early detection of pancreatic cancer may result in improved outcomes and therefore, methods for early detection of cancer, even premalignant lesions, may provide more favorable outcomes. Pancreatic intraepithelial neoplasias (PanINs) have been identified as premalignant precursor lesions to pancreatic cancer. However, conventional imaging methods used for screening high-risk populations do not have the sensitivity to detect PanINs. Here, we have employed hyperpolarized metabolic imaging in vivo and nuclear magnetic resonance (

Identifiants

pubmed: 32466260
pii: ijms21103722
doi: 10.3390/ijms21103722
pmc: PMC7279395
pii:
doi:

Substances chimiques

Carbon Isotopes 0
L-Lactate Dehydrogenase EC 1.1.1.27
Alanine Transaminase EC 2.6.1.2

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NCI NIH HHS
ID : P30 CA016672
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA218004
Pays : United States

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

Références

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Auteurs

Prasanta Dutta (P)

Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.

Susana Castro Pando (SC)

Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Marilina Mascaro (M)

Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Erick Riquelme (E)

Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Michelle Zoltan (M)

Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Niki M Zacharias (NM)

Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.
Department of Urology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Seth T Gammon (ST)

Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.

David Piwnica-Worms (D)

Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.

Mark D Pagel (MD)

Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.

Subrata Sen (S)

Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Anirban Maitra (A)

Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Shayan Shams (S)

School of Biomedical Informatics, The University of Texas Health Science Center, Houston, TX 77030, USA; Shayan.Shams@uth.tmc.edu.

Florencia McAllister (F)

Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Pratip K Bhattacharya (PK)

Department of Cancer Systems Imaging, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA.

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Classifications MeSH