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Zollinger DR, Rivers E, Fine A, Huang Y, Son J, Kalyan A, Gray W, Baharian G, Hammond C, Ram R, Ringman L, Hafez D, Savel D, Patel V, Dantone M, Guo C, Childress M, Xu C, Johng D, Wallden B, Pokharel P, Camara W, Hegde PS, Hughes J, Carter C, Davarpanah N, Degaonkar V, Gupta P, Mariathasan S, Powles T, Ferree S, Dennis L, Young A. Analytical validation of a novel comprehensive genomic profiling informed circulating tumor DNA monitoring assay for solid tumors. PLoS One 2024; 19:e0302129. [PMID: 38753705 PMCID: PMC11098318 DOI: 10.1371/journal.pone.0302129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/28/2024] [Indexed: 05/18/2024] Open
Abstract
Emerging technologies focused on the detection and quantification of circulating tumor DNA (ctDNA) in blood show extensive potential for managing patient treatment decisions, informing risk of recurrence, and predicting response to therapy. Currently available tissue-informed approaches are often limited by the need for additional sequencing of normal tissue or peripheral mononuclear cells to identify non-tumor-derived alterations while tissue-naïve approaches are often limited in sensitivity. Here we present the analytical validation for a novel ctDNA monitoring assay, FoundationOne®Tracker. The assay utilizes somatic alterations from comprehensive genomic profiling (CGP) of tumor tissue. A novel algorithm identifies monitorable alterations with a high probability of being somatic and computationally filters non-tumor-derived alterations such as germline or clonal hematopoiesis variants without the need for sequencing of additional samples. Monitorable alterations identified from tissue CGP are then quantified in blood using a multiplex polymerase chain reaction assay based on the validated SignateraTM assay. The analytical specificity of the plasma workflow is shown to be 99.6% at the sample level. Analytical sensitivity is shown to be >97.3% at ≥5 mean tumor molecules per mL of plasma (MTM/mL) when tested with the most conservative configuration using only two monitorable alterations. The assay also demonstrates high analytical accuracy when compared to liquid biopsy-based CGP as well as high qualitative (measured 100% PPA) and quantitative precision (<11.2% coefficient of variation).
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Affiliation(s)
| | | | - Alexander Fine
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Yanmei Huang
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Joseph Son
- Natera, Austin, TX, United States of America
| | | | - Wren Gray
- Natera, Austin, TX, United States of America
| | | | | | - Rosalyn Ram
- Natera, Austin, TX, United States of America
| | | | - Dina Hafez
- Natera, Austin, TX, United States of America
| | | | - Vipul Patel
- Natera, Austin, TX, United States of America
| | | | - Cui Guo
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | | | - Chang Xu
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Dorhyun Johng
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Brett Wallden
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Prapti Pokharel
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - William Camara
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Priti S. Hegde
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Jason Hughes
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Corey Carter
- Roche/Genentech, South San Francisco, CA, United States of America
| | | | - Viraj Degaonkar
- Roche/Genentech, South San Francisco, CA, United States of America
| | - Pratyush Gupta
- Roche/Genentech, South San Francisco, CA, United States of America
| | | | - Thomas Powles
- Barts Cancer Institute, Barts Experimental Cancer Medicine Centre, Queen Mary University of London, Barts Health, London, United Kingdom
| | - Sean Ferree
- Natera, Austin, TX, United States of America
| | - Lucas Dennis
- Foundation Medicine Inc, Cambridge, MA, United States of America
| | - Amanda Young
- Foundation Medicine Inc, Cambridge, MA, United States of America
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2
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Pellini B, Madison RW, Childress MA, Miller ST, Gjoerup O, Cheng J, Huang RS, Krainock M, Gupta P, Zou W, Shames DS, Moshkevich S, Ballinger M, Liu MC, Young A, Srivastava MK, Oxnard GR, Socinski MA. Circulating Tumor DNA Monitoring on Chemo-immunotherapy for Risk Stratification in Advanced Non-Small Cell Lung Cancer. Clin Cancer Res 2023; 29:4596-4605. [PMID: 37702716 PMCID: PMC10643998 DOI: 10.1158/1078-0432.ccr-23-1578] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 07/21/2023] [Accepted: 09/08/2023] [Indexed: 09/14/2023]
Abstract
PURPOSE Chemoimmunotherapy (chemoIO) is a prevalent first-line treatment for advanced driver-negative non-small cell lung cancer (NSCLC), with maintenance therapy given after induction. However, there is significant clinical variability in the duration, dosing, and timing of maintenance therapy after induction chemoIO. We used circulating tumor DNA (ctDNA) monitoring to inform outcomes in patients with advanced NSCLC receiving chemoIO. EXPERIMENTAL DESIGN This retrospective study included 221 patients from a phase III trial of atezolizumab+carboplatin+nab-paclitaxel versus carboplatin+nab-paclitaxel in squamous NSCLC (IMpower131). ctDNA monitoring used the FoundationOne Tracker involving comprehensive genomic profiling of pretreatment tumor tissue, variant selection using an algorithm to exclude nontumor variants, and multiplex PCR of up to 16 variants to detect and quantify ctDNA. RESULTS ctDNA was detected (ctDNA+) in 96% of pretreatment samples (median, 93 mean tumor molecules/mL), and similar ctDNA dynamics were noted across treatment arms during chemoIO. ctDNA decrease from baseline to C4D1 was associated with improved outcomes across multiple cutoffs for patients treated with chemoIO. When including patients with missing plasma or ctDNA- at baseline, patients with ctDNA- at C4D1 (clearance), had more favorable progression-free survival (median 8.8 vs. 3.5 months; HR, 0.32;0.20-0.52) and OS (median not reached vs. 8.9 months; HR, 0.22; 0.12-0.39) from C4D1 than ctDNA+ patients. CONCLUSIONS ctDNA monitoring during induction chemoIO can inform treatment outcomes in patients with advanced NSCLC. Importantly, monitoring remains feasible and informative for patients missing baseline ctDNA. ctDNA testing during induction chemoIO identifies patients at higher risk for disease progression and may inform patient selection for novel personalized maintenance or second-line treatment strategies.
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Affiliation(s)
- Bruna Pellini
- Department of Thoracic Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, Florida
- Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Tampa, Florida
| | | | | | | | - Ole Gjoerup
- Foundation Medicine, Inc., Cambridge, Massachusetts
| | - Jason Cheng
- Genentech, Inc., South San Francisco, California
| | | | | | | | - Wei Zou
- Genentech, Inc., South San Francisco, California
| | | | | | | | | | - Amanda Young
- Foundation Medicine, Inc., Cambridge, Massachusetts
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3
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Wang K, Wang X, Pan Q, Zhao B. Liquid biopsy techniques and pancreatic cancer: diagnosis, monitoring, and evaluation. Mol Cancer 2023; 22:167. [PMID: 37803304 PMCID: PMC10557192 DOI: 10.1186/s12943-023-01870-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Accepted: 09/25/2023] [Indexed: 10/08/2023] Open
Abstract
Pancreatic cancer (PC) is one of the most common malignancies. Surgical resection is a potential curative approach for PC, but most patients are unsuitable for operations when at the time of diagnosis. Even with surgery, some patients may still experience tumour metastasis during the operation or shortly after surgery, as precise prognosis evaluation is not always possible. If patients miss the opportunity for surgery and resort to chemotherapy, they may face the challenging issue of chemotherapy resistance. In recent years, liquid biopsy has shown promising prospects in disease diagnosis, treatment monitoring, and prognosis assessment. As a noninvasive detection method, liquid biopsy offers advantages over traditional diagnostic procedures, such as tissue biopsy, in terms of both cost-effectiveness and convenience. The information provided by liquid biopsy helps clinical practitioners understand the molecular mechanisms underlying tumour occurrence and development, enabling the formulation of more precise and personalized treatment decisions for each patient. This review introduces molecular biomarkers and detection methods in liquid biopsy for PC, including circulating tumour cells (CTCs), circulating tumour DNA (ctDNA), noncoding RNAs (ncRNAs), and extracellular vesicles (EVs) or exosomes. Additionally, we summarize the applications of liquid biopsy in the early diagnosis, treatment response, resistance assessment, and prognostic evaluation of PC.
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Affiliation(s)
- Kangchun Wang
- Department of Organ Transplantation and Hepatobiliary, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China
| | - Xin Wang
- Movement System Injury and Repair Research Center, Xiangya Hospital, Central South University, Changsha, 410008, China
| | - Qi Pan
- Department of Organ Transplantation and Hepatobiliary, The First Affiliated Hospital of China Medical University, Shenyang, 110001, China.
| | - Bei Zhao
- Department of Ultrasound, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510150, China.
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Zang J, Zhang R, Jin D, Xie F, Shahatiaili A, Wu G, Zhang Y, Zhao Z, Du P, Jia S, Chen H, Zhuang G. Integrated longitudinal circulating tumor DNA profiling predicts immunotherapy response of metastatic urothelial carcinoma in the POLARIS-03 trial. J Pathol 2023; 261:198-209. [PMID: 37584165 DOI: 10.1002/path.6166] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 05/26/2023] [Accepted: 06/20/2023] [Indexed: 08/17/2023]
Abstract
Non-invasive biomarkers for immunotherapy response remain a compelling unmet medical need. POLARIS-03 is a multicenter phase II trial to evaluate the safety and efficacy of toripalimab (anti-programmed cell death 1) in refractory metastatic urothelial carcinoma (mUC). We assessed the predictive utility of longitudinal circulating tumor DNA (ctDNA) analysis from a single-institution biomarker cohort. Twenty-seven mUC patients receiving toripalimab (3 mg/kg Q2W) at Ren Ji Hospital were enrolled. Serial plasma specimens were obtained at baseline and then every two cycles during treatment. The 600-gene panel (PredicineATLAS™) liquid biopsy assay was applied to probe somatic variants and cancer cell fraction (CCF). Low-pass whole genome sequencing was used to determine the copy number abnormality (CNA) score. Across the entire cohort, we observed different degrees of concordance between somatic aberrations detected by ctDNA and those inferred by matched tumor samples. Although the baseline CCF or CNA had limited predictive value, early ctDNA response at week 8 was associated with toripalimab efficacy and prolonged patient survival. Integrating CCF and CNA decrease achieved a superior accuracy of 90.5% in classifying responders and non-responders and predicted long-term benefit from toripalimab. Dynamic changes in the CCF and CNA in blood exquisitely reflected radiographic assessment of malignant lesions, including those with FGFR3-TACC3 gene fusion or microsatellite instability. This study demonstrates the feasibility and effectiveness of integrated longitudinal ctDNA profiling as a potential biomarker in mUC patients undergoing immunotherapy and supports further clinical evaluation of minimally invasive liquid biopsy assays for treatment stratification and therapy monitoring. © 2023 The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Jingyu Zang
- State Key Laboratory of Systems Medicine for Cancer, Department of Radiation Oncology, Shanghai Cancer Institute, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Ruiyun Zhang
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Di Jin
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Feng Xie
- Huidu Shanghai Medical Sciences Ltd, Shanghai, PR China
| | - Akezhouli Shahatiaili
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Guangyu Wu
- Department of Imaging, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Yue Zhang
- Huidu Shanghai Medical Sciences Ltd, Shanghai, PR China
| | | | - Pan Du
- Predicine, Inc., Hayward, CA, USA
| | - Shidong Jia
- Huidu Shanghai Medical Sciences Ltd, Shanghai, PR China
| | - Haige Chen
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
| | - Guanglei Zhuang
- Department of Urology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
- Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, PR China
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5
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Davis AA, Luo J, Zheng T, Dai C, Dong X, Tan L, Suresh R, Ademuyiwa FO, Rigden C, Rearden TP, Clifton K, Weilbaecher K, Frith A, Tandra PK, Summa T, Haas B, Thomas S, Hernandez-Aya LF, Peterson LL, Wang X, Luo SJ, Zhou K, Du P, Jia S, King BL, Krishnamurthy J, Ma CX. Genomic Complexity Predicts Resistance to Endocrine Therapy and CDK4/6 Inhibition in Hormone Receptor-Positive (HR+)/HER2-Negative Metastatic Breast Cancer. Clin Cancer Res 2023; 29:1719-1729. [PMID: 36693175 PMCID: PMC10150240 DOI: 10.1158/1078-0432.ccr-22-2177] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 09/29/2022] [Accepted: 01/20/2023] [Indexed: 01/25/2023]
Abstract
PURPOSE Clinical biomarkers to identify patients unlikely to benefit from CDK4/6 inhibition (CDK4/6i) in combination with endocrine therapy (ET) are lacking. We implemented a comprehensive circulating tumor DNA (ctDNA) analysis to identify genomic features for predicting and monitoring treatment resistance. EXPERIMENTAL DESIGN ctDNA was isolated from 216 plasma samples collected from 51 patients with hormone receptor-positive (HR+)/HER2-negative (HER2-) metastatic breast cancer (MBC) on a phase II trial of palbociclib combined with letrozole or fulvestrant (NCT03007979). Boosted whole-exome sequencing (WES) was performed at baseline and clinical progression to evaluate genomic alterations, mutational signatures, and blood tumor mutational burden (bTMB). Low-pass whole-genome sequencing was performed at baseline and serial timepoints to assess blood copy-number burden (bCNB). RESULTS High bTMB and bCNB were associated with lack of clinical benefit and significantly shorter progression-free survival (PFS) compared with patients with low bTMB or low bCNB (all P < 0.05). Dominant APOBEC signatures were detected at baseline exclusively in cases with high bTMB (5/13, 38.5%) versus low bTMB (0/37, 0%; P = 0.0006). Alterations in ESR1 were enriched in samples with high bTMB (P = 0.0005). There was a high correlation between bTMB determined by WES and bTMB determined using a 600-gene panel (R = 0.98). During serial monitoring, an increase in bCNB score preceded radiographic progression in 12 of 18 (66.7%) patients. CONCLUSIONS Genomic complexity detected by noninvasive profiling of bTMB and bCNB predicted poor outcomes in patients treated with ET and CDK4/6i and identified early disease progression before imaging. Novel treatment strategies including immunotherapy-based combinations should be investigated in this population.
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Affiliation(s)
- Andrew A. Davis
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Jingqin Luo
- Division of Public Health Science, Department of Surgery, Biostatistics Shared Resource, Washington University in St. Louis, Missouri
| | | | - Chao Dai
- Predicine, Inc., Hayward, California
| | | | - Lu Tan
- Predicine, Inc., Hayward, California
| | - Rama Suresh
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Foluso O. Ademuyiwa
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Caron Rigden
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Timothy P. Rearden
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Katherine Clifton
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Katherine Weilbaecher
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Ashley Frith
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Pavan K. Tandra
- Division of Oncology/Hematology, University of Nebraska Medical Center, Omaha, Nebraska
| | - Tracy Summa
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Brittney Haas
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Shana Thomas
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Leonel F. Hernandez-Aya
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | - Lindsay L. Peterson
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
| | | | | | | | - Pan Du
- Predicine, Inc., Hayward, California
| | | | | | - Jairam Krishnamurthy
- Division of Oncology/Hematology, University of Nebraska Medical Center, Omaha, Nebraska
| | - Cynthia X. Ma
- Division of Oncology, Department of Medicine, Washington University School of Medicine in St. Louis, Missouri
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Al-Showbaki L, Wilson B, Tamimi F, Molto C, Mittal A, Cescon DW, Amir E. Changes in circulating tumor DNA and outcomes in solid tumors treated with immune checkpoint inhibitors: a systematic review. J Immunother Cancer 2023; 11:jitc-2022-005854. [PMID: 36792122 PMCID: PMC9933752 DOI: 10.1136/jitc-2022-005854] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/18/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Quantification of circulating tumor DNA (ctDNA) levels is a reliable prognostic tool in several malignancies. Dynamic changes in ctDNA levels in response to treatment may also provide prognostic information. Here, we explore the value of changes in ctDNA levels in response to immune checkpoint inhibitors (ICIs). METHODS We searched MEDLINE (host: PubMed) for trials of ICIs in advanced solid tumors in which outcomes were reported based on change in ctDNA levels. ctDNA reduction was defined as reported in individual trials. Typically, this was either >50% reduction or a reduction to undetectable levels. We extracted HRs and related 95% CIs and/or p values comparing ctDNA reduction versus no reduction for progression-free survival (PFS) and/or overall survival (OS). Data were then pooled in a meta-analysis. Variation in effect size was examined using subgroup analyses. RESULTS Eighteen trials were included in the meta-analysis. ctDNA levels were detectable in all participants in all studies prior to initiation of ICIs. A reduction in ctDNA measured 6-16 weeks after starting treatment was associated with significantly better PFS (HR 0.20; 95% CI, 0.14 to 0.28; p<0.001). Similarly, OS was superior in patients with reduced ctDNA levels (HR 0.18; 95% CI, 0.12 to 0.26; p<0.001). The results were consistent across all disease sites, lines of treatment, magnitude of change (to undetectable vs >50% reduction) and whether treatment exposure comprised single or combination ICIs. CONCLUSIONS In advanced solid tumors, a reduction in ctDNA levels in response to ICIs is associated with substantial improvements in outcome. ctDNA change is an early response biomarker which may allow for de-escalation of cross-sectional imaging in patients receiving ICIs or support treatment de-escalation strategies.
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Affiliation(s)
- Laith Al-Showbaki
- Division of Hematology and Medical Oncology, Department of Medicine, The University of Jordan, Amman, Jordan
| | - Brooke Wilson
- Division of Medical Oncology and Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada
| | - Faris Tamimi
- Division of Medical Oncology and Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada
| | - Consolacion Molto
- Division of Medical Oncology and Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada
| | - Abhenil Mittal
- Division of Medical Oncology and Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada
| | - David W Cescon
- Division of Medical Oncology and Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada
| | - Eitan Amir
- Division of Medical Oncology and Hematology, Princess Margaret Hospital Cancer Centre, Toronto, Ontario, Canada
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Offit K, Sharkey CM, Green D, Wu X, Trottier M, Hamilton JG, Walsh MF, Dandiker S, Belhadj S, Lipkin SM, Sugrañes TA, Caggana M, Stadler ZK. Regulation of Laboratory-Developed Tests in Preventive Oncology: Emerging Needs and Opportunities. J Clin Oncol 2023; 41:11-21. [PMID: 35944238 PMCID: PMC10409443 DOI: 10.1200/jco.22.00995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 05/19/2022] [Accepted: 06/27/2022] [Indexed: 12/27/2022] Open
Abstract
Cancer predictive or diagnostic assays, offered as Laboratory-Developed Tests (LDTs), have been subject to regulatory authority and enforcement discretion by the US Food and Drug Administration. Many LDTs enter the market without US Food and Drug Administration or any regulatory review. The Centers for Medicare & Medicaid Services under the Clinical Laboratory Improvement Amendments focuses on analytic performance, but has limited oversight of the quality or utility of LDTs, including whether patients have been harmed as a result of their use. Increasingly, LDTs for cancer risk or early detection have been marketed directly to consumers, with many LDT developers depicting these tests, requested by patients but ordered by personal or company-associated physicians, as procedures falling under the practice of medicine. This patchwork of regulation and enforcement uncertainty regarding LDTs and public concerns about accuracy of tests given emergency authorization during the COVID-19 pandemic led to the Verifying Accurate Leading-edge IVCT (in vitro clinical test) Development Act of 2021. This pending federal legislation represents an opportunity to harmonize regulatory policies and address growing concerns over quality, utility, and safety of LDTs for cancer genomics, including tests marketed directly to consumers. We review here questions regarding the potential benefits and harms of some cancer-related LDTs for cancer risk and presymptomatic molecular diagnosis, increasingly marketed to oncologists or directly to the worried well. We offer specific proposals to strengthen oversight of the accuracy and clinical utility of cancer genetic testing to ensure public safety.
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Affiliation(s)
- Kenneth Offit
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | | | - Dina Green
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Xiaohan Wu
- The University of California, Berkeley School of Law, Berkeley, CA
| | - Magan Trottier
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jada G. Hamilton
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Michael F. Walsh
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
| | - Sita Dandiker
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Sami Belhadj
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
| | | | | | - Michele Caggana
- Wadsworth Center, New York State Department of Health, Albany, NY
| | - Zsofia K. Stadler
- Clinical Genetics Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY
- Weill Cornell Medical College, New York, NY
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8
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Vega DM, Nishimura KK, Zariffa N, Thompson JC, Hoering A, Cilento V, Rosenthal A, Anagnostou V, Baden J, Beaver JA, Chaudhuri AA, Chudova D, Fine AD, Fiore J, Hodge R, Hodgson D, Hunkapiller N, Klass DM, Kobie J, Peña C, Pennello G, Peterman N, Philip R, Quinn KJ, Raben D, Rosner GL, Sausen M, Tezcan A, Xia Q, Yi J, Young AG, Stewart MD, Carpenter EL, Aggarwal C, Allen J. Changes in Circulating Tumor DNA Reflect Clinical Benefit Across Multiple Studies of Patients With Non-Small-Cell Lung Cancer Treated With Immune Checkpoint Inhibitors. JCO Precis Oncol 2022; 6:e2100372. [PMID: 35952319 PMCID: PMC9384957 DOI: 10.1200/po.21.00372] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2021] [Revised: 03/15/2022] [Accepted: 06/14/2022] [Indexed: 12/04/2022] Open
Abstract
PURPOSE As immune checkpoint inhibitors (ICI) become increasingly used in frontline settings, identifying early indicators of response is needed. Recent studies suggest a role for circulating tumor DNA (ctDNA) in monitoring response to ICI, but uncertainty exists in the generalizability of these studies. Here, the role of ctDNA for monitoring response to ICI is assessed through a standardized approach by assessing clinical trial data from five independent studies. PATIENTS AND METHODS Patient-level clinical and ctDNA data were pooled and harmonized from 200 patients across five independent clinical trials investigating the treatment of patients with non-small-cell lung cancer with programmed cell death-1 (PD-1)/programmed death ligand-1 (PD-L1)-directed monotherapy or in combination with chemotherapy. CtDNA levels were measured using different ctDNA assays across the studies. Maximum variant allele frequencies were calculated using all somatic tumor-derived variants in each unique patient sample to correlate ctDNA changes with overall survival (OS) and progression-free survival (PFS). RESULTS We observed strong associations between reductions in ctDNA levels from on-treatment liquid biopsies with improved OS (OS; hazard ratio, 2.28; 95% CI, 1.62 to 3.20; P < .001) and PFS (PFS; hazard ratio 1.76; 95% CI, 1.31 to 2.36; P < .001). Changes in the maximum variant allele frequencies ctDNA values showed strong association across different outcomes. CONCLUSION In this pooled analysis of five independent clinical trials, consistent and robust associations between reductions in ctDNA and outcomes were found across multiple end points assessed in patients with non-small-cell lung cancer treated with an ICI. Additional tumor types, stages, and drug classes should be included in future analyses to further validate this. CtDNA may serve as an important tool in clinical development and an early indicator of treatment benefit.
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Affiliation(s)
| | | | | | - Jeffrey C. Thompson
- Division of Pulmonary, Allergy and Critical Care Medicine, Thoracic Oncology Group, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Antje Hoering
- Cancer Research And Biostatistics (CRAB), Seattle, WA
| | | | | | - Valsamo Anagnostou
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jonathan Baden
- Translational Medicine, Bristol Myers Squibb, Princeton, NJ
| | - Julia A. Beaver
- Oncology Center of Excellence, Food and Drug Administration (FDA), Silver Spring, MD
| | - Aadel A. Chaudhuri
- Department of Radiation Oncology, Washington University School of Medicine, St Louis, MO
- Department of Genetics, Washington University School of Medicine, St Louis, MO
- Department of Computer Science and Engineering, Washington University, St Louis, MO
- Siteman Cancer Center, Washington University School of Medicine, St Louis, MO
| | | | | | - Joseph Fiore
- Oncology Development, Bristol Myers Squibb, Princeton, NJ
| | - Rachel Hodge
- Late Oncology Statistics, Oncology Biometrics, AstraZeneca, Cambridge, United Kingdom
| | - Darren Hodgson
- Translational Medicine, Oncology Research & Development, AstraZeneca, Waltham, MA
| | - Nathan Hunkapiller
- GRAIL, Menlo Park, CA
- During the conduct of this work and development of the manuscript, N.H. was affiliated with GRAIL, Inc; however, is not affiliated with GRAIL, Inc at the time of submission
| | - Daniel M. Klass
- Assay Development, Roche Sequencing Solutions, Pleasanton, CA
| | - Julie Kobie
- Translational Oncology, Early Oncology Statistics, Merck Research Laboratories, Kenilworth, NJ
| | - Carol Peña
- Companion Diagnostics, Oncology Early Development, Merck Research Laboratories, Kenilworth, NJ
| | - Gene Pennello
- Division of Imaging, Diagnostics, and Software Reliability, Office of Science and Engineering Laboratories, Food and Drug Administration (FDA), Silver Spring, MD
| | | | - Reena Philip
- Division of Molecular Genetics, Office of Health Technology 7 (In Vitro Diagnostics and Radiological Health), Food and Drug Administration (FDA), Silver Spring, MD
| | | | - David Raben
- Product Development Oncology, Genentech Inc, South San Francisco, CA
| | - Gary L. Rosner
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Mark Sausen
- Translational Medicine, Bristol Myers Squibb, Princeton, NJ
| | | | - Qi Xia
- Product Development Data Sciences, Genentech Inc, South San Francisco, CA
| | - Jing Yi
- Product Development Oncology, Genentech Inc, South San Francisco, CA
| | - Amanda G. Young
- Research and Development, Foundation Medicine Inc, Cambridge, MA
| | | | - Erica L. Carpenter
- Division of Hematology and Oncology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Charu Aggarwal
- Division of Hematology and Oncology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA
| | - Jeff Allen
- Friends of Cancer Research, Washington, DC
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9
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Zhang X, Wang Y, Xiang J, Zhao P, Xun Y, Zhang S, Xu N. Association between plasma somatic copy number variations and response to immunotherapy in patients with programmed death-ligand 1-negative non-small cell lung cancer. J Int Med Res 2022; 50:3000605221093222. [PMID: 35466753 PMCID: PMC9047987 DOI: 10.1177/03000605221093222] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Objective To determine how patients with non-small cell lung cancer (NSCLC) with programmed death-ligand 1 (PD-L1)-negative and/or a low tumor mutation burden status benefit from immune checkpoint inhibitors (ICI). Methods We determined the plasma cell-free DNA profiles of 25 patients with PD-L1-negative advanced NSCLC before ICI therapy using low-coverage whole-genome sequencing. Results Elevated cell-free copy number variations (CNVs) were associated with progressive disease, with a cutoff CNV score of 0.10 evaluated with an area under the curve of 0.790 in PD-L1-negative NSCLC. CNV changes were also correlated with poor survival. Progression-free survival and overall survival were both significantly shorter in CNVhigh compared with CNVlow patients. Conclusions Cell-free CNV may be a useful peripheral blood biomarker for predicting the response to ICIs in patients with NSCLC.
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Affiliation(s)
- Xiaochen Zhang
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yina Wang
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jingjing Xiang
- Department of Pathology, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Pan Zhao
- Department of Pathology, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yanping Xun
- Department of Translation Medicine Centre, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Shirong Zhang
- Department of Translation Medicine Centre, Key Laboratory of Clinical Cancer Pharmacology and Toxicology Research of Zhejiang Province, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Nong Xu
- Department of Medical Oncology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
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10
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Circulating cancer biomarkers: current status and future prospects. Cancer Biomark 2022. [DOI: 10.1016/b978-0-12-824302-2.00009-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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11
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Angeles AK, Christopoulos P, Yuan Z, Bauer S, Janke F, Ogrodnik SJ, Reck M, Schlesner M, Meister M, Schneider MA, Dietz S, Stenzinger A, Thomas M, Sültmann H. Early identification of disease progression in ALK-rearranged lung cancer using circulating tumor DNA analysis. NPJ Precis Oncol 2021; 5:100. [PMID: 34876698 PMCID: PMC8651695 DOI: 10.1038/s41698-021-00239-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2021] [Accepted: 10/22/2021] [Indexed: 12/20/2022] Open
Abstract
Targeted kinase inhibitors improve the prognosis of lung cancer patients with ALK alterations (ALK+). However, due to the emergence of acquired resistance and varied clinical trajectories, early detection of disease progression is warranted to guide patient management and therapy decisions. We utilized 343 longitudinal plasma DNA samples from 43 ALK+ NSCLC patients receiving ALK-directed therapies to determine molecular progression based on matched panel-based targeted next-generation sequencing (tNGS), and shallow whole-genome sequencing (sWGS). ALK-related alterations were detected in 22 out of 43 (51%) patients. Among 343 longitudinal plasma samples analyzed, 174 (51%) were ctDNA-positive. ALK variant and fusion kinetics generally reflected the disease course. Evidence for early molecular progression was observed in 19 patients (44%). Detection of ctDNA at therapy baseline indicated shorter times to progression compared to cases without mutations at baseline. In patients who succumbed to the disease, ctDNA levels were highly elevated towards the end of life. Our results demonstrate the potential utility of these NGS assays in the clinical management of ALK+ NSCLC.
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Affiliation(s)
- Arlou Kristina Angeles
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
| | - Petros Christopoulos
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Oncology, Thoraxklinik and National Center for Tumor Disease (NCT) at Heidelberg University Hospital, Heidelberg, Germany
| | - Zhao Yuan
- Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Simone Bauer
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
| | - Florian Janke
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
- Medical Faculty, Heidelberg University, Heidelberg, Germany
| | - Simon John Ogrodnik
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
| | - Martin Reck
- Lung Clinic Grosshansdorf, Airway Research Center North, German Center for Lung Research, Grosshansdorf, Germany
| | - Matthias Schlesner
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
- Bioinformatics and Omics Data Analytics, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Biomedical Informatics, Data Mining and Data Analytics, Faculty for Applied Informatics, Augsburg University, Augsburg, Germany
| | - Michael Meister
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
- Translational Research Unit, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany
| | - Marc A Schneider
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
- Translational Research Unit, Thoraxklinik at Heidelberg University Hospital, Heidelberg, Germany
| | - Steffen Dietz
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
- AstraZeneca GmbH, Wedel, Germany
| | - Albrecht Stenzinger
- Institute of Pathology, Heidelberg University, Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Michael Thomas
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany
- Department of Oncology, Thoraxklinik and National Center for Tumor Disease (NCT) at Heidelberg University Hospital, Heidelberg, Germany
| | - Holger Sültmann
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), and National Center for Tumor Diseases (NCT), Heidelberg, Germany.
- Translational Lung Research Center Heidelberg, German Center for Lung Research (DZL), Heidelberg, Germany.
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12
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Chen K, Shields MD, Chauhan PS, Ramirez RJ, Harris PK, Reimers MA, Zevallos JP, Davis AA, Pellini B, Chaudhuri AA. Commercial ctDNA Assays for Minimal Residual Disease Detection of Solid Tumors. Mol Diagn Ther 2021; 25:757-774. [PMID: 34725800 PMCID: PMC9016631 DOI: 10.1007/s40291-021-00559-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/16/2021] [Indexed: 12/20/2022]
Abstract
The detection of circulating tumor DNA via liquid biopsy has become an important diagnostic test for patients with cancer. While certain commercial liquid biopsy platforms designed to detect circulating tumor DNA have been approved to guide clinical decisions in advanced solid tumors, the clinical utility of these assays for detecting minimal residual disease after curative-intent treatment of nonmetastatic disease is currently limited. Predicting disease response and relapse has considerable potential for increasing the effective implementation of neoadjuvant and adjuvant therapies. As a result, many companies are rapidly investing in the development of liquid biopsy platforms to detect circulating tumor DNA in the minimal residual disease setting. In this review, we discuss the development and clinical implementation of commercial liquid biopsy platforms for circulating tumor DNA minimal residual disease detection of solid tumors. Here, we aim to highlight the technological features that enable highly sensitive detection of tumor-derived genomic alterations, the factors that differentiate these commercial platforms, and the ongoing trials that seek to increase clinical implementation of liquid biopsies using circulating tumor DNA-based minimal residual disease detection.
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Affiliation(s)
- Kevin Chen
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Avenue, St. Louis, MO, 63108, USA
| | - Misty D Shields
- Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
- Department of Thoracic Oncology, Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA
| | - Pradeep S Chauhan
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Avenue, St. Louis, MO, 63108, USA
| | - Ricardo J Ramirez
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St. Louis, MO, USA
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA
| | - Peter K Harris
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Avenue, St. Louis, MO, 63108, USA
| | - Melissa A Reimers
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, 660 S. Euclid Avenue, St. Louis, MO, 63110, USA
| | - Jose P Zevallos
- Department of Otolaryngology-Head and Neck Surgery, Washington University School of Medicine, St. Louis, MO, USA
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA
| | - Andrew A Davis
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA.
- Division of Medical Oncology, Department of Medicine, Washington University School of Medicine, 660 S. Euclid Avenue, St. Louis, MO, 63110, USA.
| | - Bruna Pellini
- Department of Oncologic Sciences, Morsani College of Medicine, University of South Florida, Tampa, FL, USA.
- Department of Thoracic Oncology, Moffitt Cancer Center and Research Institute, 12902 Magnolia Drive, Tampa, FL, 33612, USA.
| | - Aadel A Chaudhuri
- Division of Cancer Biology, Department of Radiation Oncology, Washington University School of Medicine, 4511 Forest Park Avenue, St. Louis, MO, 63108, USA.
- Siteman Cancer Center, Barnes Jewish Hospital and Washington University School of Medicine, St. Louis, MO, USA.
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA.
- Division of Biology and Biomedical Sciences, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Biomedical Engineering, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA.
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13
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Fridland S, Choi J, Nam M, Schellenberg SJ, Kim E, Lee G, Yoon N, Chae YK. Assessing tumor heterogeneity: integrating tissue and circulating tumor DNA (ctDNA) analysis in the era of immuno-oncology - blood TMB is not the same as tissue TMB. J Immunother Cancer 2021; 9:jitc-2021-002551. [PMID: 34462324 PMCID: PMC8407207 DOI: 10.1136/jitc-2021-002551] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/12/2021] [Indexed: 12/29/2022] Open
Abstract
Tissue tumor mutational burden (tTMB) is calculated to aid in cancer treatment selection. High tTMB predicts a favorable response to immunotherapy in patients with non-small cell lung cancer. Blood TMB (bTMB) from circulating tumor DNA is reported to have similar predictive power and has been proposed as an alternative to tTMB. Across many studies not only are tTMB and bTMB not concordant but also as reported previously by our group predict conflicting outcomes. This implies that bTMB is not a substitute for tTMB, but rather a composite index that may encompass tumor heterogeneity. Here, we provide a thorough overview of the predictive power of TMB, discuss the use of tumor heterogeneity alongside TMB to predict treatment response and review several methods of tumor heterogeneity assessment. Furthermore, we propose a hypothetical method of estimating tumor heterogeneity and touch on its clinical implications.
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Affiliation(s)
- Stanislav Fridland
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Jaeyoun Choi
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Myungwoo Nam
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | | | - Eugene Kim
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Grace Lee
- Northwestern University, Evanston, Illinois, USA
| | | | - Young Kwang Chae
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA .,Robert H. Lurie Comprehensive Cancer Center of Northwestern University, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
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14
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Lim Y, Kim S, Kang JK, Kim HP, Jang H, Han H, Kim H, Kim MJ, Lee KH, Ryoo SB, Park JW, Jeong SY, Park KJ, Kang GH, Han SW, Kim TY. Circulating tumor DNA sequencing in colorectal cancer patients treated with first-line chemotherapy with anti-EGFR. Sci Rep 2021; 11:16333. [PMID: 34381078 PMCID: PMC8358023 DOI: 10.1038/s41598-021-95345-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 07/19/2021] [Indexed: 01/03/2023] Open
Abstract
Circulating tumor DNA (ctDNA) may reveal dynamic tumor status during therapy. We conducted serial ctDNA analysis to investigate potential association with clinical outcome in metastatic colorectal cancer (mCRC) patients receiving chemotherapy. Tissue KRAS/NRAS wild-type mCRC patients were enrolled and treated with first-line cetuximab-containing chemotherapy. ctDNA isolated from plasma were analyzed by next generation sequencing (NGS) with 16 targeted gene panel. Among 93 patients, 84 (90.3%) had at least 1 somatic mutation in baseline ctDNA samples (average 2.74). Five patients with KRAS or NRAS hotspot mutation in the ctDNA showed significantly worse progression-free survival (PFS) (p = 0.029). Changes in average variant allele frequency (VAF) in ctDNA showed significant correlation with tumor size change at the time of first response evaluation (p = 0.020) and progressive disease (PD) (p = 0.042). Patients whose average VAF decreased below cutoff (< 1%) at the first evaluation showed significantly better PFS (p < 0.001), and the average VAF change further discriminated the PFS in the patients in partial response (p = 0.018). At the time of PD, 54 new mutations including KRAS and MAP2K1 emerged in ctDNA. ctDNA sequencing can provide mutation profile that could better reflect tumor mutation status and predict treatment outcome.
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Affiliation(s)
- Yoojoo Lim
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Sheehyun Kim
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Jun-Kyu Kang
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea
- Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Hwang-Phill Kim
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea
| | | | | | | | - Min Jung Kim
- Department of Surgery, Seoul National University Hospital, Seoul, Korea
| | - Kyung-Hun Lee
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea
| | - Seung-Bum Ryoo
- Department of Surgery, Seoul National University Hospital, Seoul, Korea
| | - Ji Won Park
- Department of Surgery, Seoul National University Hospital, Seoul, Korea
| | - Seung-Yong Jeong
- Department of Surgery, Seoul National University Hospital, Seoul, Korea
| | - Kyu Joo Park
- Department of Surgery, Seoul National University Hospital, Seoul, Korea
| | - Gyeong Hoon Kang
- Department of Pathology, Seoul National University Hospital, Seoul, Korea
| | - Sae-Won Han
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
- Cancer Research Institute, Seoul National University, Seoul, Korea.
| | - Tae-You Kim
- Department of Internal Medicine, Seoul National University Hospital, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Republic of Korea.
- Department of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
- Cancer Research Institute, Seoul National University, Seoul, Korea.
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15
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Tran HT, Lam VK, Elamin YY, Hong L, Colen R, Elshafeey NA, Hassan ISA, Altan M, Blumenschein GR, Rinsurongkawong W, Rivera MJ, Vasquez ME, Carter BW, Byers LE, Tsao AS, Gibbons DL, Fossella F, Glisson BS, Zhang J, Heymach JV. Clinical Outcomes in Non-Small-Cell Lung Cancer Patients Treated With EGFR-Tyrosine Kinase Inhibitors and Other Targeted Therapies Based on Tumor Versus Plasma Genomic Profiling. JCO Precis Oncol 2021; 5:PO.20.00532. [PMID: 34377884 PMCID: PMC8345916 DOI: 10.1200/po.20.00532] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2020] [Revised: 05/13/2021] [Accepted: 07/02/2021] [Indexed: 11/20/2022] Open
Abstract
PURPOSE To compare clinical outcomes in a cohort of patients with advanced non-small-cell lung cancer (NSCLC) with targetable genomic alterations detected using plasma-based circulating tumor DNA (ctDNA) or tumor-based next-generation sequencing (NGS) assays treated with US Food and Drug Administration-approved therapies at a large academic research cancer center. METHODS A retrospective review from our MD Anderson GEMINI database identified 2,224 blood samples sent for ctDNA NGS testing from 1971 consecutive patients with a diagnosis of advanced NSCLC. Clinical, treatment, and outcome information were collected, reviewed, and analyzed. RESULTS Overall, 27% of the ctDNA tests identified at least one targetable mutation and 73% of targetable mutations were EGFR-sensitizing mutations. Among patients treated with first-line epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitor (TKI) therapies, there were no significant differences in progression-free survival of 379 days and 352 days (P value = .41) with treatment based on tissue (n = 40) or ctDNA (n = 40), respectively. Additionally, there were no differences in progression-free survival or objective response rate among those with low (n = 8, 0.01%-0.99%) versus high (n = 16, ≥ 1%) levels of ctDNA of the targetable mutation as measured by variant allele frequency (VAF). Overall, there was excellent testing concordance (n = 217 tests) of > 97%, sensitivity of 91.7%, and specificity of 99.7% between blood-based ctDNA NGS and tissue-based NGS assays. CONCLUSION There were no significant differences in clinical outcomes among patients treated with approved EGFR-TKIs whose mutations were identified using either tumor- or plasma-based comprehensive profiling and those with very low VAF as compared with high VAF, supporting the use of plasma-based profiling to guide initial TKI use in patients with metastatic EGFR-mutant NSCLC.
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Affiliation(s)
- Hai T. Tran
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Vincent K. Lam
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Lingzhi Hong
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Rivka Colen
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | - Mehmet Altan
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | | | | | | | | | | | - Anne S. Tsao
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Don L. Gibbons
- University of Texas MD Anderson Cancer Center, Houston, TX
| | - Frank Fossella
- University of Texas MD Anderson Cancer Center, Houston, TX
| | | | - Jianjun Zhang
- University of Texas MD Anderson Cancer Center, Houston, TX
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16
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Content of circulating tumor DNA depends on the tumor type and the dynamics of tumor size, but is not influenced significantly by physical exercise, time of the day or recent meal. Cancer Genet 2021; 256-257:165-178. [PMID: 34186498 DOI: 10.1016/j.cancergen.2021.05.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 05/11/2021] [Accepted: 05/24/2021] [Indexed: 01/20/2023]
Abstract
PURPOSE This study aimed to investigate factors, which influence the content of circulating tumor DNA (ctDNA). METHODS 398 serial plasma samples were collected within 1-7 consecutive days from patients with EGFR-mutated lung cancer (n = 13), RAS/RAF-mutated colorectal cancer (n = 54) and BRAF-mutated melanoma (n = 17), who presented with measurable tumor disease. The amount of ctDNA was determined by ddPCR. RESULTS Among 82 patients, who donated 2-6 serial plasma samples, 42 subjects were classified as ctDNA-positive; only 22% cases were mutation-positive across all consecutive tests, while 24/82 (29%) patients showed presence of mutated ctDNA in some but not all blood draws. Subjects with progressing tumors had higher probability of being detected ctDNA-positive as compared to patients, who responded to therapy or had stable disease (39/55 (71%) vs. 4/24 (17%); p = 0.0001). Our study failed to reveal the impact of the time of the day, recent meal or prior physical exercise on the results of ctDNA testing. CONCLUSIONS Presence of ctDNA in plasma is particularly characteristic for patients, who experience clinical progression of tumor disease. Consecutive plasma tests may occasionally provide discordant data; thus, the repetition of analysis may be advised in certain cases in order to ensure the validity of negative ctDNA result.
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