Assessment of Clinical Benefit of Integrative Genomic Profiling in Advanced Solid Tumors.
Assessment of Clinical Benefit of Integrative Genomic Profiling in Advanced Solid Tumors.
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DOI:
10.1001/jamaoncol.2020.7987
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发表时间:
2021-04-01
期刊:
影响因子:
28.4
通讯作者:
Chinnaiyan AM
中科院分区:
文献类型:
--
作者:
Cobain EF;Wu YM;Vats P;Chugh R;Worden F;Smith DC;Schuetze SM;Zalupski MM;Sahai V;Alva A;Schott AF;Caram MEV;Hayes DF;Stoffel EM;Jacobs MF;Kumar-Sinha C;Cao X;Wang R;Lucas D;Ning Y;Rabban E;Bell J;Camelo-Piragua S;Udager AM;Cieslik M;Lonigro RJ;Kunju LP;Robinson DR;Talpaz M;Chinnaiyan AM
What is the clinical utility of genomic profiling for patients with advanced solid tumors? In this cohort study of 1015 patients who underwent integrative genomic profiling, a high rate of pathogenic germline variants and a subset of patients who derive substantial clinical benefit from sequencing information were identified. These findings support (1) directed germline testing for inherited cancer predisposition in all patients with advanced cancer and (2) use of integrative genomic profiling as a component of standard of care for patients with cancer of unknown origin and other rare malignant neoplasms. This cohort study assesses which patients with advanced solid tumors derive the greatest clinical benefit from next-generation sequencing. Use of next-generation sequencing (NGS) to identify clinically actionable genomic targets has been incorporated into routine clinical practice in the management of advanced solid tumors; however, the clinical utility of this testing remains uncertain. To determine which patients derived the greatest degree of clinical benefit from NGS profiling. Patients in this cohort study underwent fresh tumor biopsy and blood sample collection for genomic profiling of paired tumor and normal DNA (whole-exome or targeted-exome capture with analysis of 1700 genes) and tumor transcriptome (RNA) sequencing. Somatic and germline genomic alterations were annotated and classified according to degree of clinical actionability. Results were returned to treating oncologists. Data were collected from May 1, 2011, to February 28, 2018, and analyzed from May 1, 2011, to April 30, 2020. Patients’ subsequent therapy and treatment response were extracted from the medical record to determine clinical benefit rate from NGS-directed therapy at 6 months and exceptional responses lasting 12 months or longer. During the study period, NGS was attempted on tumors from 1138 patients and was successful in 1015 (89.2%) (MET1000 cohort) (538 men [53.0%]; mean [SD] age, 57.7 [13.3] years). Potentially clinically actionable genomic alterations were discovered in 817 patients (80.5%). Of these, 132 patients (16.2%) received sequencing-directed therapy, and 49 had clinical benefit (37.1%). Exceptional responses were observed in 26 patients (19.7% of treated patients). Pathogenic germline variants (PGVs) were identified in 160 patients (15.8% of cohort), including 49 PGVs (4.8% of cohort) with therapeutic relevance. For 55 patients with carcinoma of unknown primary origin, NGS identified the primary site in 28 (50.9%), and sequencing-directed therapy in 13 patients resulted in clinical benefit in 7 instances (53.8%), including 5 exceptional responses. The high rate of therapeutically relevant PGVs identified across diverse cancer types supports a recommendation for directed germline testing in all patients with advanced cancer. The high frequency of therapeutically relevant somatic and germline findings in patients with carcinoma of unknown primary origin and other rare cancers supports the use of comprehensive NGS profiling as a component of standard of care for these disease entities.
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DOI:
10.1158/1078-0432.ccr-14-0603
发表时间:
2014-09-15
期刊:
Clinical cancer research : an official journal of the American Association for Cancer Research
影响因子:
--
作者:
Tsimberidou AM;Wen S;Hong DS;Wheler JJ;Falchook GS;Fu S;Piha-Paul S;Naing A;Janku F;Aldape K;Ye Y;Kurzrock R;Berry D
通讯作者:
Berry D
影响因子:
5.7
作者:
Schwaederle, Maria;Daniels, Gregory A.;Kurzrock, Razelle
通讯作者:
Kurzrock, Razelle
影响因子:
158.5
作者:
Soria, J. -C.;Ohe, Y.;Nguyen, Nhung
通讯作者:
Nguyen, Nhung
影响因子:
4.6
作者:
Tsimberidou AM;Hong DS;Ye Y;Cartwright C;Wheler JJ;Falchook GS;Naing A;Fu S;Piha-Paul S;Janku F;Meric-Bernstam F;Hwu P;Kee B;Kies MS;Broaddus R;Mendelsohn J;Hess KR;Kurzrock R
通讯作者:
Kurzrock R
影响因子:
46.9
作者:
Frampton GM;Fichtenholtz A;Otto GA;Wang K;Downing SR;He J;Schnall-Levin M;White J;Sanford EM;An P;Sun J;Juhn F;Brennan K;Iwanik K;Maillet A;Buell J;White E;Zhao M;Balasubramanian S;Terzic S;Richards T;Banning V;Garcia L;Mahoney K;Zwirko Z;Donahue A;Beltran H;Mosquera JM;Rubin MA;Dogan S;Hedvat CV;Berger MF;Pusztai L;Lechner M;Boshoff C;Jarosz M;Vietz C;Parker A;Miller VA;Ross JS;Curran J;Cronin MT;Stephens PJ;Lipson D;Yelensky R
通讯作者:
Yelensky R