Akaluc bioluminescence offers superior sensitivity to track in vivo glioma expansion.

Akaluc bioluminescence imaging (BLI) glioblastoma (GBM) glioma luciferase

Journal

Neuro-oncology advances
ISSN: 2632-2498
Titre abrégé: Neurooncol Adv
Pays: England
ID NLM: 101755003

Informations de publication

Date de publication:
Historique:
entrez: 26 11 2020
pubmed: 27 11 2020
medline: 27 11 2020
Statut: epublish

Résumé

Longitudinal tracking of tumor growth using noninvasive bioluminescence imaging (BLI) is a key approach for studies of in vivo cancer models, with particular relevance for investigations of malignant gliomas in rodent intracranial transplant paradigms. Akaluciferase (Akaluc) is a new BLI system with higher signal strength than standard firefly luciferase (Fluc). Here, we establish Akaluc BLI as a sensitive method for in vivo tracking of glioma expansion. We engineered a lentiviral vector for expression of Akaluc in high-grade glioma cell lines, including patient-derived glioma stem cell (GSC) lines. Akaluc-expressing glioma cells were compared to matching cells expressing Fluc in both in vitro and in vivo BLI assays. We also conducted proof-of-principle BLI studies with intracranial transplant cohorts receiving chemoradiation therapy. Akaluc-expressing glioma cells produced more than 10 times higher BLI signals than Fluc-expressing counterparts when examined in vitro, and more than 100-fold higher signals when compared to Fluc-expressing counterparts in intracranial transplant models in vivo. The high sensitivity of Akaluc permitted detection of intracranial glioma transplants starting as early as 4 h after implantation and with as little as 5000 transplanted cells. The sensitivity of the system allowed us to follow engraftment and expansion of intracranial transplants of GSC lines. Akaluc was also robust for sensitive detection of in vivo tumor regression after therapy and subsequent relapse. Akaluc BLI offers superior sensitivity for in vivo tracking of glioma in the intracranial transplant paradigm, facilitating sensitive approaches for the study of glioma growth and response to therapy.

Sections du résumé

BACKGROUND BACKGROUND
Longitudinal tracking of tumor growth using noninvasive bioluminescence imaging (BLI) is a key approach for studies of in vivo cancer models, with particular relevance for investigations of malignant gliomas in rodent intracranial transplant paradigms. Akaluciferase (Akaluc) is a new BLI system with higher signal strength than standard firefly luciferase (Fluc). Here, we establish Akaluc BLI as a sensitive method for in vivo tracking of glioma expansion.
METHODS METHODS
We engineered a lentiviral vector for expression of Akaluc in high-grade glioma cell lines, including patient-derived glioma stem cell (GSC) lines. Akaluc-expressing glioma cells were compared to matching cells expressing Fluc in both in vitro and in vivo BLI assays. We also conducted proof-of-principle BLI studies with intracranial transplant cohorts receiving chemoradiation therapy.
RESULTS RESULTS
Akaluc-expressing glioma cells produced more than 10 times higher BLI signals than Fluc-expressing counterparts when examined in vitro, and more than 100-fold higher signals when compared to Fluc-expressing counterparts in intracranial transplant models in vivo. The high sensitivity of Akaluc permitted detection of intracranial glioma transplants starting as early as 4 h after implantation and with as little as 5000 transplanted cells. The sensitivity of the system allowed us to follow engraftment and expansion of intracranial transplants of GSC lines. Akaluc was also robust for sensitive detection of in vivo tumor regression after therapy and subsequent relapse.
CONCLUSION CONCLUSIONS
Akaluc BLI offers superior sensitivity for in vivo tracking of glioma in the intracranial transplant paradigm, facilitating sensitive approaches for the study of glioma growth and response to therapy.

Identifiants

pubmed: 33241215
doi: 10.1093/noajnl/vdaa134
pii: vdaa134
pmc: PMC7680182
doi:

Types de publication

Journal Article

Langues

eng

Pagination

vdaa134

Subventions

Organisme : NCI NIH HHS
ID : P30 CA196521
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS092735
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS106229
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS107462
Pays : United States

Informations de copyright

© The Author(s) 2020. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology.

Références

Nat Commun. 2018 Oct 1;9(1):4020
pubmed: 30275445
ACS Chem Biol. 2019 May 17;14(5):959-965
pubmed: 30969754
Nat Methods. 2020 Aug;17(8):852-860
pubmed: 32661427
Cell Stem Cell. 2009 Jun 5;4(6):568-80
pubmed: 19497285
PLoS One. 2009 Aug 06;4(8):e6529
pubmed: 19657394
J Neurosurg. 2007 Sep;107(3):610-6
pubmed: 17886562
Front Oncol. 2016 Jun 23;6:150
pubmed: 27446798
Science. 2018 Feb 23;359(6378):935-939
pubmed: 29472486
EBioMedicine. 2019 Apr;42:252-269
pubmed: 30952620
Curr Protoc Immunol. 2001 May;Chapter 10:Unit 10.17C
pubmed: 18432682
Mol Imaging. 2009 Sep-Oct;8(5):245-53
pubmed: 19796602
Nat Rev Cancer. 2010 May;10(5):319-31
pubmed: 20414201
Nat Commun. 2016 Jun 14;7:11856
pubmed: 27297211

Auteurs

Dominique Bozec (D)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Brain Tumor Nanotechnology Laboratory, Tisch Cancer Institute at Mount Sinai, New York, New York, USA.

Anirudh Sattiraju (A)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Alexandros Bouras (A)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Brain Tumor Nanotechnology Laboratory, Tisch Cancer Institute at Mount Sinai, New York, New York, USA.

Joe G Jesu Raj (JG)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Brain Tumor Nanotechnology Laboratory, Tisch Cancer Institute at Mount Sinai, New York, New York, USA.

Daniel Rivera (D)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Brain Tumor Nanotechnology Laboratory, Tisch Cancer Institute at Mount Sinai, New York, New York, USA.

Yong Huang (Y)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Chrystian Junqueira Alves (C)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Rut Tejero (R)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Nadejda M Tsankova (NM)

Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Hongyan Zou (H)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Constantinos Hadjipanayis (C)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Brain Tumor Nanotechnology Laboratory, Tisch Cancer Institute at Mount Sinai, New York, New York, USA.

Roland H Friedel (RH)

Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Classifications MeSH