Molecular Landscape and Actionable Alterations in a Genomically Guided Cancer Clinical Trial: National Cancer Institute Molecular Analysis for Therapy Choice (NCI-MATCH).


Journal

Journal of clinical oncology : official journal of the American Society of Clinical Oncology
ISSN: 1527-7755
Titre abrégé: J Clin Oncol
Pays: United States
ID NLM: 8309333

Informations de publication

Date de publication:
20 11 2020
Historique:
pubmed: 14 10 2020
medline: 26 3 2021
entrez: 13 10 2020
Statut: ppublish

Résumé

Therapeutically actionable molecular alterations are widely distributed across cancer types. The National Cancer Institute Molecular Analysis for Therapy Choice (NCI-MATCH) trial was designed to evaluate targeted therapy antitumor activity in underexplored cancer types. Tumor biopsy specimens were analyzed centrally with next-generation sequencing (NGS) in a master screening protocol. Patients with a tumor molecular alteration addressed by a targeted treatment lacking established efficacy in that tumor type were assigned to 1 of 30 treatments in parallel, single-arm, phase II subprotocols. Tumor biopsy specimens from 5,954 patients with refractory malignancies at 1,117 accrual sites were analyzed centrally with NGS and selected immunohistochemistry in a master screening protocol. The treatment-assignment rate to treatment arms was assessed. Molecular alterations in seven tumors profiled in both NCI-MATCH trial and The Cancer Genome Atlas (TCGA) of primary tumors were compared. Molecular profiling was successful in 93.0% of specimens. An actionable alteration was found in 37.6%. After applying clinical and molecular exclusion criteria, 17.8% were assigned (26.4% could have been assigned if all subprotocols were available simultaneously). Eleven subprotocols reached their accrual goal as of this report. Actionability rates differed among histologies (eg, > 35% for urothelial cancers and < 6% for pancreatic and small-cell lung cancer). Multiple actionable or resistance-conferring tumor mutations were seen in 11.9% and 71.3% of specimens, respectively. Known resistance mutations to targeted therapies were numerically more frequent in NCI-MATCH than TCGA tumors, but not markedly so. We demonstrated feasibility of screening large numbers of patients at numerous accruing sites in a complex trial to test investigational therapies for moderately frequent molecular targets. Co-occurring resistance mutations were common and endorse investigation of combination targeted-therapy regimens.

Identifiants

pubmed: 33048619
doi: 10.1200/JCO.19.03010
pmc: PMC7676882
doi:

Substances chimiques

Antineoplastic Agents 0

Banques de données

ClinicalTrials.gov
['NCT02465060']

Types de publication

Clinical Trial, Phase II Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

3883-3894

Subventions

Organisme : NCI NIH HHS
ID : UG1 CA233329
Pays : United States
Organisme : NCI NIH HHS
ID : U24 CA196172
Pays : United States
Organisme : NCI NIH HHS
ID : UG1 CA233302
Pays : United States
Organisme : NCI NIH HHS
ID : UG1 CA233180
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180820
Pays : United States
Organisme : NCI NIH HHS
ID : U10 CA180794
Pays : United States
Organisme : NCI NIH HHS
ID : UG1 CA233341
Pays : United States
Organisme : NCI NIH HHS
ID : UG1 CA233337
Pays : United States

Commentaires et corrections

Type : CommentIn

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Auteurs

Keith T Flaherty (KT)

Massachusetts General Hospital, Boston, MA.

Robert J Gray (RJ)

ECOG-ACRIN Cancer Research Group Biostatistics Center, Dana Farber Cancer Institute Boston, MA.

Alice P Chen (AP)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

Shuli Li (S)

ECOG-ACRIN Cancer Research Group Biostatistics Center, Dana Farber Cancer Institute Boston, MA.

Lisa M McShane (LM)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

David Patton (D)

Center for Biomedical Informatics and Information Technology, NCI, NIH, Bethesda, MD.

Stanley R Hamilton (SR)

University of Texas MD Anderson Cancer Center, Houston, TX.

P Mickey Williams (PM)

Frederick National Laboratory for Cancer Research, Frederick, MD.

A John Iafrate (AJ)

Massachusetts General Hospital, Boston, MA.
Harvard University, Boston, MA.

Jeffrey Sklar (J)

Yale University, New Haven, CT.

Edith P Mitchell (EP)

Thomas Jefferson University Hospital, Philadelphia, PA.

Lyndsay N Harris (LN)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

Naoko Takebe (N)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

David J Sims (DJ)

Frederick National Laboratory for Cancer Research, Frederick, MD.

Brent Coffey (B)

Center for Biomedical Informatics and Information Technology, Frederick National Laboratory for Cancer Research, Frederick, MD.

Tony Fu (T)

Frederick National Laboratory for Cancer Research, Frederick, MD.

Mark Routbort (M)

University of Texas MD Anderson Cancer Center, Houston, TX.

James A Zwiebel (JA)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

Larry V Rubinstein (LV)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

Richard F Little (RF)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

Carlos L Arteaga (CL)

University of Texas Southwestern Simmons Cancer Center, Dallas, TX.

Robert Comis (R)

ECOG-ACRIN Cancer Research Group, Philadelphia, PA.
Deceased.

Jeffrey S Abrams (JS)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

Peter J O'Dwyer (PJ)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

Barbara A Conley (BA)

Division of Cancer Treatment and Diagnosis, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, MD.

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Classifications MeSH