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. 2019 Sep 24:3:PO.19.00017.
doi: 10.1200/PO.19.00017. eCollection 2019.

Identification of Actionable Genomic Alterations Using Circulating Cell-Free DNA

Affiliations

Identification of Actionable Genomic Alterations Using Circulating Cell-Free DNA

Nora S Sánchez et al. JCO Precis Oncol. .

Abstract

Purpose: Cell-free DNA (cfDNA) next-generation sequencing is a noninvasive approach for genomic testing. We report the frequency of identifying alterations and their clinical actionability in patients with advanced/metastatic cancer.

Patients and methods: Prospectively consented patients had cfDNA testing performed. Alterations were assessed for therapeutic implications.

Results: We enrolled 575 patients with 37 tumor types. Of these patients, 438 (76.2%) had at least one alteration detected, and 205 (35.7%) had one or more alterations of high potential for clinical action. In diseases with 10 or more patients enrolled, 50% or more had at least one alteration deemed of high potential for clinical action. Trials were identified in 80% of patients (286 of 357) with any alteration and in 92% of patients (188 of 205) with one or more alterations of high potential for clinical action of whom 57.6% (118 of 205) had 6 or more months of follow-up available. Of these patients, 10% (12 of 118) had received genomically matched therapy through enrollment in clinical trials (n = 8), off-label drug use (n = 3), or standard of care (n = 1). Although 88.6% of all patients had a performance status of 0 or 1 upon enrollment, the primary reason for not acting on alterations was poor performance status at next treatment change (28.1%; 27 of 96).

Conclusion: cfDNA testing represents a readily accessible method for genomic testing and allows for detection of genomic alterations in most patients with advanced disease. Utility may be higher in patients interested in investigational therapeutics with adequate performance status. Additional study is needed to determine whether utility is enhanced by testing earlier in the treatment course.

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Conflict of interest statement

The following represents disclosure information provided by authors of this manuscript. All relationships are considered compensated unless otherwise noted. Relationships are self-held unless noted. I = Immediate Family Member, Inst = My Institution. Relationships may not relate to the subject matter of this manuscript. For more information about ASCO's conflict of interest policy, please refer to www.asco.org/rwc or ascopubs.org/po/author-center. Open Payments is a public database containing information reported by companies about payments made to US-licensed physicians (Open Payments). Nora S. SánchezEmployment: Foundation Medicine Stock and Other Ownership Interests: RocheAnn Marie BaileyEmployment: QIAGEN Travel, Accommodations, Expenses: QIAGENKavitha BalajiEmployment: Lexicon Stock and Other Ownership Interests: Lexicon Travel, Accommodations, Expenses: LexiconDong YangEmployment: Molecular HealthMilind JavleConsulting or Advisory Role: QED Therapeutics, Oncosil Medical, Incyte, Mundipharma Other Relationship: Rafael Pharmaceuticals, Incyte, Pieris Pharmaceuticals, Merck, Merck Serono, Novartis, Seattle Genetics, BeiGene, QED Therapeutics, Bayer AGAhmed KasebStock and Other Ownership Interests: Gilead Sciences Honoraria: Merck, Exelixis, Bayer AG, Bristol-Myers Squibb Consulting or Advisory Role: Bayer AG, Bristol-Myers Squibb, Merck, Exelixis Research Funding: Bristol-Myers Squibb, Merck, Bayer AG, Onyx Pharmaceuticals, Genentech Travel, Accommodations, Expenses: Exelixis, Merck, Bayer AG, Onyx Pharmaceuticals, Bristol-Myers SquibbCathy EngHonoraria: Roche, Bayer AG Consulting or Advisory Role: Roche, Genentech, Bayer Schering Pharma, Taiho, Terumo Clinical Supply Travel, Accommodations, Expenses: Genentech, Roche, Bayer AG, Sirtex MedicalVivek SubbiahConsulting or Advisory Role: MedImmune Research Funding: Novartis (Inst), GlaxoSmithKline (Inst), NanoCarrier (Inst), Northwest Biotherapeutics (Inst), Genentech (Inst), Roche (Inst), Berg Pharma (Inst), Bayer AG (Inst), Incyte (Inst), Fujifilm (Inst), PharmaMar (Inst), D3 Oncology Solutions (Inst), Pfizer (Inst), Amgen (Inst), AbbVie (Inst), Multivir (Inst), Blueprint Medicines (Inst), Loxo Oncology (Inst), Vegenics (Inst), Takeda Pharmaceuticals (Inst), Alfasigma (Inst), Agensys (Inst), Idera (Inst), Boston Medical (Inst), Inhibrx (Inst), Exelixis (Inst) Travel, Accommodations, Expenses: PharmaMar, Bayer AGFilip JankuStock and Other Ownership Interests: Trovagene Consulting or Advisory Role: Deciphera, Trovagene, Novartis, Sequenom, Foundation Medicine, Guardant Health, Immunome, Synlogic, Valeant, Dendreon, IFM Therapeutics, Sotio, PureTech Research Funding: Novartis (Inst), BioMed Valley Discoveries (Inst), Roche (Inst), Agios (Inst), Astellas Pharma (Inst), Deciphera (Inst), Plexxikon (Inst), Piqur (Inst), Fujifilm (Inst), Symphogen (Inst), Bristol-Myers Squibb (Inst), Asana Biosciences (Inst), Astex Pharmaceuticals (Inst) Other Relationship: Bio-RadVictoria M. RaymondEmployment: Trovagene, Guardant Health Stock and Other Ownership Interests: Trovagene, Guardant HealthRichard B. LanmanEmployment: Guardant Health, Veracyte Leadership: Guardant Health, Biolase Stock and Other Ownership Interests: Guardant Health, Biolase, Forward Medical Consulting or Advisory Role: Forward Medical Research Funding: Guardant HealthKenna R. Mills ShawResearch Funding: Guardant Health (Inst), Tempus (Inst)Funda Meric-BernstamHonoraria: Sumitomo Group, Dialectica Consulting or Advisory Role: Genentech, Inflection Biosciences, Pieris Pharmaceuticals, Clearlight Diagnostics, Darwin Health, Samsung Bioepis, Spectrum Pharmaceuticals, Aduro Biotech, Origimed, Xencor, Debiopharm Group, Mersana, Seattle Genetics Research Funding: Novartis, AstraZeneca, Taiho Pharmaceutical, Genentech, Calithera Biosciences, Debiopharm Group, Bayer AG, Aileron Therapeutics, Puma Biotechnology, CytomX Therapeutics, Jounce Therapeutics, Zymeworks, Curis, Pfizer, eFFECTOR Therapeutics, AbbVie, Boehringer Ingelheim (I), Guardant Health (Inst), Daiichi Sankyo, GlaxoSmithKline Speakers’ Bureau: Chugai Biopharmaceuticals No other potential conflicts of interest were reported.

Figures

FIG 1.
FIG 1.
Flow diagram that depicts the overall utility of cell-free DNA (cfDNA) in identifying actionable alterations in patients with advanced cancers. A total of 575 patients was enrolled, of whom 76.2% (n = 438) had at least one alteration reported. Of these 438, 81.5% (n = 357) had at least one alteration reported within an actionable gene, of whom in turn, 54.7% (n = 205) had at least one high potential for clinical action alteration. Hence, of the original 575 patients tested, 35.6% (n = 205) had at least one alteration classified as having a high potential for clinical action.
FIG 2.
FIG 2.
Landscape of molecular alterations identified. (A) Commonly reported alterations by gene and alteration type. (B) Amplification levels of genes with copy number alterations. (C) Most frequently altered genes with consideration of each variant’s potential for clinical action. Shown are the most frequently altered genes in 205 patients with at least one alteration classified as high potential for clinical action. Indel, insertion/deletion alteration; SNV, single nucleotide variant.
FIG 3.
FIG 3.
Identification of clinically actionable alterations and clinical trials by disease type. (A) Distribution of clinically actionable alterations by disease type. (B) Identification of clinical trials across all disease types in the context of variant’s potential for clinical action.
FIG 4.
FIG 4.
(A) Clinical management outcomes of patients with at least one variant of high potential for clinical action identified. (B) Reasons why genomic alterations were not acted upon in patients with at least one variant of high clinical potential identified. a2. b3. c5. d6. e7. f11. g26. h27. Mets, metastases; PS, performance status.

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