Hypothetical generalized framework for a new imaging endpoint of therapeutic activity in early phase clinical trials in brain tumors.


Journal

Neuro-oncology
ISSN: 1523-5866
Titre abrégé: Neuro Oncol
Pays: England
ID NLM: 100887420

Informations de publication

Date de publication:
01 08 2022
Historique:
pubmed: 6 4 2022
medline: 3 8 2022
entrez: 5 4 2022
Statut: ppublish

Résumé

Imaging response assessment is a cornerstone of patient care and drug development in oncology. Clinicians/clinical researchers rely on tumor imaging to estimate the impact of new treatments and guide decision making for patients and candidate therapies. This is important in brain cancer, where associations between tumor size/growth and emerging neurological deficits are strong. Accurately measuring the impact of a new therapy on tumor growth early in clinical development, where patient numbers are small, would be valuable for decision making regarding late-stage development activation. Current attempts to measure the impact of a new therapy have limited influence on clinical development, as determination of progression, stability or response does not currently account for individual tumor growth kinetics prior to the initiation of experimental therapies. Therefore, we posit that imaging-based response assessment, often used as a tool for estimating clinical effect, is incomplete as it does not adequately account for growth trajectories or biological characteristics of tumors prior to the introduction of an investigational agent. Here, we propose modifications to the existing framework for evaluating imaging assessment in primary brain tumors that will provide a more reliable understanding of treatment effects. Measuring tumor growth trajectories prior to a given intervention may allow us to more confidently conclude whether there is an anti-tumor effect. This updated approach to imaging-based tumor response assessment is intended to improve our ability to select candidate therapies for later-stage development, including those that may not meet currently sought thresholds for "response" and ultimately lead to identification of effective treatments.

Identifiants

pubmed: 35380705
pii: 6563738
doi: 10.1093/neuonc/noac086
pmc: PMC9340639
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1219-1229

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States
Organisme : NCI NIH HHS
ID : P50 CA211015
Pays : United States
Organisme : NCI NIH HHS
ID : P30 CA013696
Pays : United States

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press on behalf of the Society for Neuro-Oncology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

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Auteurs

Benjamin M Ellingson (BM)

UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.

Elizabeth R Gerstner (ER)

Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA.

Andrew B Lassman (AB)

Division of Neuro-Oncology, Department of Neurology, Columbia University Vagelos College of Physicians and Surgeons, Herbert Irving Comprehensive Cancer Center, NewYork-Presbyterian Hospital, New York, New York, USA.

Caroline Chung (C)

University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.

Howard Colman (H)

Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA.

Patricia E Cole (PE)

Bayer Pharmaceuticals, Whippany, New Jersey, USA.

David Leung (D)

Bristol Myers Squibb, Princeton, New Jersey, USA.

Joshua E Allen (JE)

Chimerix, Durham, North California, USA.

Manmeet S Ahluwalia (MS)

Miami Cancer Institute, Baptist Health South Florida, Miami, Florida, USA.

Jerrold Boxerman (J)

Rhode Island Hospital and Alpert Medical School of Brown University, Providence, Rhode Island, USA.

Matthew Brown (M)

UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.

Jonathan Goldin (J)

UCLA Brain Tumor Imaging Laboratory, Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.

Edjah Nduom (E)

Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia, USA.

Islam Hassan (I)

Servier Pharmaceuticals, Boston, Massachusetts, USA.

Mark R Gilbert (MR)

Department of Neurosurgery, Emory University School of Medicine, Atlanta, Georgia, USA.

Ingo K Mellinghoff (IK)

Department of Neurology and Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York, USA.

Michael Weller (M)

Department of Neurology, University Hospital and University of Zurich, Switzerland.

Susan Chang (S)

Division of Neuro-Oncology, University of California San Francisco, San Francisco, California, USA.

David Arons (D)

National Brain Tumor Society, Newton, Massachusetts, USA.

Clair Meehan (C)

National Brain Tumor Society, Newton, Massachusetts, USA.

Wendy Selig (W)

WSCollaborative, LLC, McLean, Virginia, USA.

Kirk Tanner (K)

National Brain Tumor Society, Newton, Massachusetts, USA.

W K Alfred Yung (WK)

University of Texas M.D. Anderson Cancer Center, Houston, Texas, USA.

Martin van den Bent (M)

Brain Tumor Center at Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, the Netherlands.

Patrick Y Wen (PY)

Dana Farber Cancer Institute, Harvard University, Boston, Massachusetts, USA.

Timothy F Cloughesy (TF)

UCLA Neuro Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.

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