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. 2021 Jan 14:5:PO.20.00182.
doi: 10.1200/PO.20.00182. eCollection 2021.

Impact of a 40-Gene Targeted Panel Test on Physician Decision Making for Patients With Acute Myeloid Leukemia

Affiliations

Impact of a 40-Gene Targeted Panel Test on Physician Decision Making for Patients With Acute Myeloid Leukemia

Erica K Barnell et al. JCO Precis Oncol. .

Abstract

Purpose: Physicians treating hematologic malignancies increasingly order targeted sequencing panels to interrogate recurrently mutated genes. The precise impact of these panels on clinical decision making is not well understood.

Methods: Here, we report our institutional experience with a targeted 40-gene panel (MyeloSeq) that is used to generate a report for both genetic variants and variant allele frequencies for the treating physician (the limit of mutation detection is approximately one AML cell in 50).

Results: In total, 346 sequencing reports were generated for 325 patients with suspected hematologic malignancies over an 8-month period (August 2018 to April 2019). To determine the influence of genomic data on clinical care for patients with acute myeloid leukemia (AML), we analyzed 122 consecutive reports from 109 patients diagnosed with AML and surveyed the treating physicians with a standardized questionnaire. The panel was ordered most commonly at diagnosis (61.5%), but was also used to assess response to therapy (22.9%) and to detect suspected relapse (15.6%). The panel was ordered at multiple timepoints during the disease course for 11% of patients. Physicians self-reported that 50 of 114 sequencing reports (44%) influenced clinical care decisions in 44 individual patients. Influences were often nuanced and extended beyond identifying actionable genetic variants with US Food and Drug Administration-approved drugs.

Conclusion: This study provides insights into how physicians are currently using multigene panels capable of detecting relatively rare AML cells. The most influential way to integrate these tools into clinical practice will be to perform prospective clinical trials that assess patient outcomes in response to genomically driven interventions.

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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). Erica K. BarnellEmployment: Geneoscopy Stock and Other Ownership Interests: Geneoscopy Patents, Royalties, Other Intellectual Property: Inventor of intellectual property in start-up company (Geneoscopy) Travel, Accommodations, Expenses: GeneoscopyKenneth F. NewcomerEmployment: Geneoscopy (I) Stock and Other Ownership Interests: Geneoscopy (I) Patents, Royalties, Other Intellectual Property: Inventor of intellectual property owned by Geneoscopy (I)Zachary L. SkidmoreStock and Other Ownership Interests: Aim Immunotech, Catalyst PharmaceuticalsKilannin KrysiakConsulting or Advisory Role: Gerson Lehrman GroupLukas D. WartmanConsulting or Advisory Role: Novartis, IncyteStephen T. OhConsulting or Advisory Role: Incyte, Novartis, Blueprint Medicines, Celgene, Kartos, CTI BioPharma Corp, PharmaEssentia, Disc Medicine, Constellation Pharmaceuticals Research Funding: Incyte (Inst), Gilead Sciences (Inst), CTI BioPharma Corp (Inst), Kartos (Inst), Celgene (Inst), Sierra Oncology (Inst), Blueprint Medicines (Inst), Constellation Pharmaceuticals (Inst)John S. WelchConsulting or Advisory Role: Archer Biosciences, Agios Research Funding: Janssen Oncology (Inst), Notable Labs (Inst)Keith E. Stockerl-GoldsteinStock and Other Ownership Interests: Abbott Laboratories, AbbVie Consulting or Advisory Role: Celgene Research Funding: GlaxoSmithKline, Takeda, BiolineRx, Janssen Other Relationship: CellerantRavi VijConsulting or Advisory Role: Bristol Myers Squibb, Celgene, Janssen, Sanofi, Karyopharm Therapeutics, Takeda, Genentech, AbbVie, Oncopeptides Research Funding: Takeda, Celgene, Bristol Myers Squibb Travel, Accommodations, Expenses: Celgene, Bristol Myers Squibb, Sanofi, Janssen, DAVAOncology, Karyopharm Therapeutics, Amgen, Takeda, AbbVieAmanda F. CashenConsulting or Advisory Role: Agios Speakers' Bureau: Novartis, CelgeneIskra PusicConsulting or Advisory Role: Kadmon, Incyte, SyndaxCamille N. AbboudStock and Other Ownership Interests: AbbVie (I), Abbott Laboratories (I), Gilead Sciences (I), Bristol Myers Squibb (I), Johnson & Johnson (I) Honoraria: Cardinal Health, Dova Pharmaceuticals, NkartaTherapeutics, Archer Biosciences Research Funding: Actinium Pharmaceuticals, Selvita (Inst), AlloVir (Inst), Forty-Seven (Inst)Armin GhobadiHonoraria: Kite Pharma Consulting or Advisory Role: Kite Pharma, Celgene, Amgen, Wugen Speakers' Bureau: Kite Pharma, AmgenGeoffrey L. UyConsulting or Advisory Role: Astellas Pharma, Genentech, Jazz PharmaceuticalsMark A. SchroederConsulting or Advisory Role: Astellas Pharma, Dova Pharmaceuticals, Flatiron Health, GlaxoSmithKline, Incyte, Partners Therapeutics, Partners Therapeutics, Pfizer Speakers' Bureau: AbbVie, Merck, TakedaJohn F. DiPersioStock and Other Ownership Interests: Magenta Therapeutics, Wugen Honoraria: Incyte Consulting or Advisory Role: Cellworks, Rivervest, Magenta Therapeutics, Incyte Research Funding: Amphivena Therapeutics (Inst), Macrogenics (Inst), Incyte (Inst), Wugen (Inst), BiolineRx (Inst), Maxcyte (Inst), Bigelow Aerospace (Inst) Patents, Royalties, Other Intellectual Property: Patents: CD7 and CD2 knockout for CART to CD7 and CDL; Duvelisib for treatment of cytokine release syndrome; NT-17 to enhance CART survival; Novel WU mobilizing compounds (Inst); Selection of IMPDH mutant stem cells; IFNγ, upregulate MHCII for relapsed AML; Dextran-based molecules to detect CAR-T cells; Combining integrin inhibitor with chemokine binders, 016131; JAK and calcineurin inhibition, solid organ transplant; VLA4, gro-b; Triple combination–CXCR2, VLA-4, gro-b; Targeting IFNR/CSCR3 in GvHD; WU/SLU compounds VLA4 and CXCR2 (Inst) Travel, Accommodations, Expenses: Incyte, Macrogenics, Magenta TherapeuticsMary C. PolitiResearch Funding: MerckDavid H. SpencerConsulting or Advisory Role: Wugen Research Funding: IlluminaEric J. DuncavageStock and Other Ownership Interests: P&V Licensing Consulting or Advisory Role: Cofactor Genomics, Bristol Myers Squibb, Eli Lilly Open Payments Link: https://openpaymentsdata.cms.gov/physician/317379Timothy J. LeyResearch Funding: Rigel Patents, Royalties, Other Intellectual Property: Licenses for monoclonal antibodies and recombinant granzymesMeagan A. JacobyHonoraria: Takeda Research Funding: Geron (Inst), AbbVie (Inst), Jazz Pharmaceuticals (Inst), Aprea AB (Inst), Amphivena (Inst), Janssen (Inst) No other potential conflicts of interest were reported.

Figures

FIG 1.
FIG 1.
Distribution of patient diagnoses. (A) Distribution and (B) relative frequency of hematologicb disorders for the 346 samples evaluated with the sequencing panel. Diagnosis is based on the clinical history ascertained by pathologists signing out the report. Acute myeloid leukemia (AML) with acute promyelocytic leukemia (APL) subtype—designated by a light blue bar under the AML distribution bar chart—were not eligible for analysis with the sequencing panel. BALL, B-cell acute lymphoblastic leukemia; BPDCN, blastic plasmacytoid dendritic cell neoplasm; CCUS, clonal cytopenia of undetermined significance; CML, chronic myeloid leukemia; CMML, chronic myelomonocytic leukemia; CLL, chronic lymphoblastic leukemia; DLBCL, diffuse large B-cell lymphoma; ET, essential thrombocytopenia; HCL, hairy cell leukemia; ICUS, idiopathic cytopenias of undetermined significance; MCC, Merkel cell carcinoma; MDS, myelodysplastic syndrome; MM, multiple myeloma; MPN, myeloproliferative neoplasm, not otherwise specified; PMF, primary myelofibrosis; PNH, paroxysmal nocturnal hemoglobinuria; PV, polycythemia vera; TALL, T-cell acute lymphoblastic leukemia; WM, Waldenström macroglobulinemia.
FIG 2.
FIG 2.
Distribution of variants in acute myeloid leukemia (AML) cases. (A) Heatmap of the distribution of variants in all AML cases reported. Each row represents a single gene and each column represents a sequencing report (N = 122). Colored squares denote that a variant was observed in the designated gene. Colors indicate the variant type. If there was more than one variant observed per gene within the same case, the most deleterious variant on the basis of the variant effect prediction was listed. The bottom bar indicates the FLT3 status for all 122 patients. The bar color indicates the type of FLT3 variant (internal tandem duplication v tyrosine kinase domain). (B) Percentage of cases with a variant in a given gene. Each row represents a single gene and the color indicates the variant type.
FIG 3.
FIG 3.
Physicians ordered sequencing panels at various times throughout the acute myeloid leukemia (AML) course. (A) Distribution of timepoints. (B) Distribution of therapeutics for which the sequencing report was ordered as part of response assessment. 7 + 3, 7 days cytarabine and 3 days anthracycline; alloHCT, allogeneic stem-cell transplantation; CPX-351, liposomal cytarabine and daunorubicin; gem/ozo, gemtuzumab ozogamicin; HiDAC, high-dose Ara-C; HMA, hypomethylating agent.
FIG 4.
FIG 4.
Physician-reported influences from sequencing reports issued for patients with acute myeloid leukemia (AML). (A) In total, 346 consecutive cases—that is, reports—were analyzed and 124 had a diagnosis of AML. Of these 124 cases, four were excluded (acute promyelocytic leukemia [APL] subtype [n = 2]; no survey returned [n = 2]). Six surveys were returned but ineligible for additional analysis. Physicians reported that the report influenced clinical decision making in 50 cases (44%). (B) Physician-reported influences. Variants associated with predictive influences are labeled. In 10 cases, variants observed on sequencing reports were used to stratify relapse risk for patients in first clinical remission (CR1). In eight cases, variants observed were used to assess for persistent molecular disease (PMD). In 64 cases, physicians reported that the results did not inform decision making. (C) There were 14 physicians who contributed at least one survey to this study.
FIG 5.
FIG 5.
Incorporation of panel testing in disease monitoring for patients with acute myeloid leukemia (AML). Each panel represents a single patient where multiple sequencing reports were obtained. The plot indicates any variants observed with associated variant allele frequencies (VAFs) at the timepoints labeled on the x-axis. These plots also show FLT3 variant status (presence tyrosine kinase domain or internal tandem duplication [ITD]) and approximate duration of treatment. (A) Sequencing panels revealed persistent molecular disease after induction. Based on the persistent IDH2 variant, the physician initiated targeted therapy with enasidenib. (B) Physician reported that the observation of persistent molecular disease at 475 days (D) post–stem-cell transplantation (SCT) indicated the need for a second allogeneic stem-cell transplantation despite clinical remission (0% blasts on bone marrow biopsy [BMBx]). (C) Sequencing panels were used to track VAFs to evaluate the efficacy of a donor lymphocyte infusion (DLI) and gilteritinib over time. (D) Extramedullary relapse was confirmed by comparing sequencing results of the original tumor and the periesophageal lesion.

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