Matched sequential tumor molecular profiling in solid malignancies may impact clinical practice.


Journal

Cancer genetics
ISSN: 2210-7762
Titre abrégé: Cancer Genet
Pays: United States
ID NLM: 101539150

Informations de publication

Date de publication:
04 2021
Historique:
received: 11 08 2020
revised: 15 12 2020
accepted: 28 12 2020
pubmed: 13 1 2021
medline: 20 7 2021
entrez: 12 1 2021
Statut: ppublish

Résumé

To determine if performing repeat tumor molecular profiling in solid malignancies over time can identify new findings that impact clinical care. All patients with a solid malignancy and more than 1 tumor molecular analysis were identified at a single institution. Each test report was examined to identify the genomic alterations. Chart review was performed to determine subsequent therapies following each test result and the impact of tumor profiling on clinical practice. At a single institution, 110 patients were identified with having more than 1 tumor molecular analysis, with 98 subjects having test results available for review. Eighty-seven patients had differences in reported results at the time of subsequent analysis. These differences may reflect changes in tumor biology, be attributed to intra-patient or intra-tumor heterogeneity or be due to technical updates of the next generation sequencing platforms. Among the 98 subjects with solid tumors, the median time between tests was 10 months (range 0.5-66 months), with the majority of tests performed at the time of disease progression or recurrence. In this population, a total of 30 patients received targeted therapies that were associated with actionable findings on any tumor molecular analysis. Of these, 6 patients had new genomic findings identified on sequential testing that affected treatment. The future of cancer care must include precision medicine approaches. Evolution of next generation sequencing has contributed to this effort. Results of this single institution study summarize the reported findings on tumor molecular testing and suggest that subsequent testing may impact clinical care in a subset of patients. While only 6% of patients in this study saw a change in treatment based on new findings on sequential testing reports, this approach may be more clinically relevant in the future with the development of novel targeted therapies. This may be especially significant in a patient population that has progressed on standard therapies and where treatment options are limited.

Identifiants

pubmed: 33434795
pii: S2210-7762(20)30304-5
doi: 10.1016/j.cancergen.2020.12.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

73-79

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors have no conflicts of interest to disclose.

Auteurs

Tiffany S Lai (TS)

Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA. Electronic address: tlai@mednet.ucla.edu.

Erica Manrriquez (E)

Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA.

Adam Neal (A)

Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA; UCLA Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA, 90095, USA.

Sanaz Memarzadeh (S)

Department of Obstetrics and Gynecology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA; UCLA Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, CA, 90095, USA; UCLA Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California Los Angeles, Los Angeles, CA, 90095, USA; Molecular Biology Institute, University of California Los Angeles, Los Angeles, CA, 90095, USA; The VA Greater Los Angeles Healthcare System, Los Angeles, CA, 90073, USA.

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Classifications MeSH