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Cowzer D, White JB, Chou JF, Chen PJ, Kim TH, Khalil DN, El Dika IH, Columna K, Yaqubie A, Light JS, Shia J, Yarmohammadi H, Erinjeri JP, Wei AC, Jarnagin W, Do RK, Solit DB, Capanu M, Shah RH, Berger MF, Abou-Alfa GK, Harding JJ. Targeted Molecular Profiling of Circulating Cell-Free DNA in Patients With Advanced Hepatocellular Carcinoma. JCO Precis Oncol 2023; 7:e2300272. [PMID: 37769223 PMCID: PMC10581608 DOI: 10.1200/po.23.00272] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 07/29/2023] [Accepted: 08/08/2023] [Indexed: 09/30/2023] Open
Abstract
PURPOSE Next-generation sequencing (NGS) of tumor-derived, circulating cell-free DNA (cfDNA) may aid in diagnosis, prognostication, and treatment of patients with hepatocellular carcinoma (HCC). The operating characteristics of cfDNA mutational profiling must be determined before routine clinical implementation. METHODS This was a single-center, retrospective study with the primary objective of defining genomic alterations in circulating cfDNA along with plasma-tissue genotype agreement between NGS of matched tumor samples in patients with advanced HCC. cfDNA was analyzed using a clinically validated 129-gene NGS assay; matched tissue-based NGS was analyzed with a US Food and Drug Administration-authorized NGS tumor assay. RESULTS Fifty-three plasma samples from 51 patients with histologically confirmed HCC underwent NGS-based cfDNA analysis. Genomic alterations were detected in 92.2% of patients, with the most commonly mutated genes including TERT promoter (57%), TP53 (47%), CTNNB1 (37%), ARID1A (18%), and TSC2 (14%). In total, 37 (73%) patients underwent paired tumor NGS, and concordance was high for mutations observed in patient-matched plasma samples: TERT (83%), TP53 (94%), CTNNB1 (92%), ARID1A (100%), and TSC2 (71%). In 10 (27%) of 37 tumor-plasma samples, alterations were detected by cfDNA analysis that were not detected in the patient-matched tumors. Potentially actionable mutations were identified in 37% of all cases including oncogenic/likely oncogenic alterations in TSC1/2 (18%), BRCA1/2 (8%), and PIK3CA (8%). Higher average variant allele fraction was associated with elevated alpha-fetoprotein, increased tumor volume, and no previous systemic therapy, but did not correlate with overall survival in treatment-naïve patients. CONCLUSION Tumor mutation profiling of cfDNA in HCC represents an alternative to tissue-based genomic profiling, given the high degree of tumor-plasma NGS concordance; however, genotyping of both blood and tumor may be required to detect all clinically actionable genomic alterations.
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Affiliation(s)
- Darren Cowzer
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jessica B. White
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Joanne F. Chou
- Weill Medical College of Cornell University, New York, NY
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Pin-Jung Chen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Tae-Hyung Kim
- Weill Medical College of Cornell University, New York, NY
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Danny N. Khalil
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Medical College of Cornell University, New York, NY
| | - Imane H. El Dika
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Medical College of Cornell University, New York, NY
| | - Katrina Columna
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Amin Yaqubie
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Joseph S. Light
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jinru Shia
- Weill Medical College of Cornell University, New York, NY
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Hooman Yarmohammadi
- Weill Medical College of Cornell University, New York, NY
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Joseph Patrick Erinjeri
- Weill Medical College of Cornell University, New York, NY
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Alice C. Wei
- Weill Medical College of Cornell University, New York, NY
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - William Jarnagin
- Weill Medical College of Cornell University, New York, NY
- Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Richard K.G. Do
- Weill Medical College of Cornell University, New York, NY
- Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - David B. Solit
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Medical College of Cornell University, New York, NY
| | - Marinela Capanu
- Weill Medical College of Cornell University, New York, NY
- Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Ronak H. Shah
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Michael F. Berger
- Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Medical College of Cornell University, New York, NY
| | - Ghassan K. Abou-Alfa
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Medical College of Cornell University, New York, NY
| | - James J. Harding
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Medical College of Cornell University, New York, NY
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Cowzer D, White JB, Chen PJ, Kim TH, Khalil D, El Dika IH, Chou JF, Yaqubie A, Light JS, Shia J, Yarmohammadi H, Erinjeri JP, Capanu M, Do RKG, Solit DB, Shah RH, Berger MF, Abou-Alfa GK, Harding JJ. Next-generation sequencing (NGS) of circulating cell-free DNA (cfDNA) in patients (pts) with advanced hepatocellular carcinoma (HCC). J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.4110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
4110 Background: HCC is often diagnosed based on high-quality cross-sectional imaging, and when a biopsy is pursued, acquisition of tissue may be of limited quantity and quality or complicated by underlying medical comorbidities. NGS of tumor derived circulating cfDNA represents an investigational tool for non-invasive molecular profiling, that has the potential to aid in diagnosis, prognosis, and in monitoring disease status. Although prior reports have evaluated such technologies, few studies have included tumor tissues to confirm histology and to explore plasma-tissue gene concordance. Methods: The primary objective of this retrospective cohort study was to define genomic alterations in circulating cfDNA and to explore plasma-tissue genotype concordance in HCC pts. HCC pts underwent collection of cfDNA for NGS using the MSK-ACCESS 129-gene assay between August 2019 and February 2021. Matched tissue-based NGS with the FDA authorized MSK-IMPACT gene assay was completed when tumor tissue was available. Clinical actionability of sequence variants was annotated by OncoKB, an FDA recognized knowledge base. Clinicopathologic characteristics were extracted, and all data were reported with descriptive statistics. Results: 51 unique patients with 53 plasma samples had an HCC histological diagnosis. Pts were male (39, 76%), median age 69 (42-87), viral hepatitis-related (24, 47%), and advanced stage (Stage III:9, 18%; Stage IV:38, 74.5%). Extrahepatic disease and macrovascular involvement were observed in 28 (55%) and 19 (38%) pts, respectively. 22 (43%) pts had AFP ≥400 ng/mL. 49 (92.5%) of 53 plasma samples had detectable genomic alterations. Median cfDNA yield after extraction was 39.43 ng (range: 7.93-287.68). The most frequently mutated genes occurring in > 10% of patients were TERT (57%), TP53 (47%), CTNNB1 (37%), ARID1A (18%) and TSC2 (14%). The most common oncogenic pathways that contained alterations were WNT-β-Catenin (45%) and PIK3-AKT-TOR (25%). 37 (73%) pts underwent tissue sequencing with MSK-IMPACT with a median time of 9.0 months to the time cfDNA testing. MSK-ACCESS identified mutations observed in tumor in most cases: TERT (20/22; 91%), TP53 (16/17; 94%), CTNNB1 (11/12; 92%), ARID1A (6/6; 100%) and TSC2 (6/7; 86%). In 18 (49%) of 37 paired samples, additional mutations in cfDNA not seen in tumor were detected and included KRAS, EGFR, and TP53 alterations. Potentially actionable mutations were identified through cfDNA in 37% of cases including TSC1/2 (18%), BRCA1/ 2 (8%) and PIK3CA (8%). Conclusions: Circulating cfDNA genotyping with MSK-ACCESS identifies previously reported HCC tumor genomic profiles and revealed tumor-associated mutations in 92.5% of plasma samples. Ongoing efforts will explore predictive and prognostic implications of NGS at different HCC stages as well as kinetics of treatment response.
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Affiliation(s)
- Darren Cowzer
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Pin-Jung Chen
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Tae-Hyung Kim
- Memorial Sloan Kettering Cancer Center, New York, NY
| | - Danny Khalil
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Joanne F. Chou
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering, New York, NY
| | - Amin Yaqubie
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Jinru Shia
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Marinela Capanu
- Department of Epidemiology & Biostatistics, Memorial Sloan Kettering, New York, NY
| | | | - David B. Solit
- Memorial Sloan Kettering Cancer Center, Weill Cornell Medical College, Kravis Center for Molecular Oncology, Sloan Kettering Institute, New York, NY
| | - Ronak H. Shah
- Memorial Sloan Kettering Cancer Center, New York, NY
| | | | - Ghassan K. Abou-Alfa
- Department of Medicine, Memorial Sloan Kettering Cancer Center and Weill Medical College, Cornell University, New York, NY
| | - James J. Harding
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
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