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Sun Y, Zhu C, Xu F, Cui S, Guan X. Circulating Tumor DNA as a Novel Biomarker Optimizing Treatment for Triple Negative Breast Cancer. Clin Breast Cancer 2023; 23:339-349. [PMID: 36966079 DOI: 10.1016/j.clbc.2023.02.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 01/23/2023] [Accepted: 02/26/2023] [Indexed: 03/05/2023]
Abstract
Triple-negative breast cancer is a sub-type of clinically and molecularly heterogeneous malignant disease with a worse prognosis and earlier recurrence than HER2-amplified or hormone-receptor positive breast cancer. Because of the lack of personalized therapy, genetic information is essential to early diagnosing, identifying the high risk of recurrence, guiding therapeutic management, and monitoring treatment efficiency. Circulating tumor DNA (ctDNA) is a novel noninvasive, timely, and tumor specified biomarker that reliably reflects the comprehensive tumor genetic profiles. Thus, it holds significant expectations in personalized therapy, including accurate diagnosis, treatment monitoring, and early detection of recurrence of TNBC. In this review, we summarize the results from recent and ongoing ctDNA-based biomarker-driven clinical trials, with respect to ctDNA analysis' predictive role, in adjuvant, neo-adjuvant, and metastatic settings. Collectively, we anticipate that ctDNA will ultimately be integrated into the management of TNBC to foster precise treatment.
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Affiliation(s)
- Yue Sun
- Department of Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Chengjun Zhu
- Department of Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Feng Xu
- Department of Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Shiyun Cui
- Department of Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China
| | - Xiaoxiang Guan
- Department of Oncology, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
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Araujo DV, Wang A, Torti D, Leon A, Marsh K, McCarthy A, Berman H, Spreafico A, Hansen AR, Razak AA, Bedard PL, Wang L, Plackmann E, Chow H, Bao H, Wu X, Pugh TJ, Siu LL. Applications of Circulating Tumor DNA in a Cohort of Phase I Solid Tumor Patients Treated With Immunotherapy. JNCI Cancer Spectr 2021; 5:pkaa122. [PMID: 34056539 PMCID: PMC8152803 DOI: 10.1093/jncics/pkaa122] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 08/25/2020] [Accepted: 11/13/2020] [Indexed: 12/18/2022] Open
Abstract
Background The correlation between blood-based tumor mutation burden (bTMB) and tissue-based tumor mutation burden(tTMB) has not been broadly tested in a multicancer cohort. Here, we assess the correlation between bTMB with tTMB in phase I trial patients treated with immunotherapy. As an exploratory analysis, we evaluated circulating tumor DNA (ctDNA) dynamics in responders. Methods Patients treated with immunotherapy at the Princess Margaret phase I trials unit were enrolled. Pretreatment plasma ctDNA and matched normal blood controls were collected. Available archival tissue formalin-fixed paraffin-embedded (FFPE) samples were analyzed. A 425-gene panel was used to sequence both ctDNA and FFPE samples. Samples with TMB within the highest tertile were considered as high TMB. Results Thirty-eight patients were accrued from 25 different trials, 86.8% of which involved an anti-PD-1/PD-L1 agent. Thirty patients (78.9%) had detectable mutations in ctDNA, of which the median (range) bTMB was 5 (1-53) mutations per megabase (mut/Mb). Of the 22 patients with available FFPE samples, mutations were detected in 21 (95.4%); the median (range) tTMB was 6 (2-124) mut/Mb. Among the 16 patients with detectable mutations in both FFPE and ctDNA, a statistically significant correlation between bTMB and tTMB was observed (ρ = 0.71; P = .002). High TMB was not associated with better survival. All 3 responders had a decrease in the variant allele frequency of mutations detected in ctDNA at a second timepoint relative to baseline, indicating a potential early marker of response. Conclusions In this small series, bTMB correlated with tTMB. An on-treatment decrease in VAF of mutations detected in ctDNA at baseline was observed in responders. Larger studies to verify our findings are warranted.
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Affiliation(s)
- Daniel V Araujo
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Ao Wang
- Geneseeq Technology Inc, Toronto, Ontario, Canada
| | - Dax Torti
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Alberto Leon
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Kayla Marsh
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
| | - Aoife McCarthy
- Department of Laboratory Medicine and Pathobiology, University Health Network, Toronto, Ontario, Canada
| | - Hal Berman
- Department of Laboratory Medicine and Pathobiology, University Health Network, Toronto, Ontario, Canada
| | - Anna Spreafico
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Aaron R Hansen
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Albiruni-Abdul Razak
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Philippe L Bedard
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Lisa Wang
- Department of Biostatistics, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Eric Plackmann
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Helen Chow
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Hua Bao
- Geneseeq Technology Inc, Toronto, Ontario, Canada
| | - Xue Wu
- Geneseeq Technology Inc, Toronto, Ontario, Canada
| | - Trevor J Pugh
- Ontario Institute for Cancer Research, Toronto, Ontario, Canada
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Lillian L Siu
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
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De Michino S, Aparnathi M, Rostami A, Lok BH, Bratman SV. The Utility of Liquid Biopsies in Radiation Oncology. Int J Radiat Oncol Biol Phys 2020; 107:873-886. [PMID: 32417410 DOI: 10.1016/j.ijrobp.2020.05.008] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Accepted: 05/03/2020] [Indexed: 12/17/2022]
Abstract
The use of therapeutic radiation is primarily guided by clinicopathologic factors and medical imaging, whereas molecular biomarkers currently play a comparatively minor role in most settings. Liquid biopsies provide a rich source of noninvasive tumor-specific biomarkers and are amenable to repeated and noninvasive assessment. Here, we review the current status of liquid biopsies and their potential impact on the field of radiation oncology. We focus on established and emerging approaches to analyze circulating tumor DNA and circulating tumor cells from peripheral blood. These promising classes of biomarkers could have an outsized impact on cancer management by meaningfully stratifying patients into risk groups, tracking radiation therapy efficacy during and after treatment, and identifying patients with radiosensitive or radioresistant disease. Finally, we highlight opportunities for future investigation including the need for prospective interventional studies employing liquid biopsies to guide the management of radiation therapy-treated patients.
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Affiliation(s)
- Steven De Michino
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Mansi Aparnathi
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Ariana Rostami
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Benjamin H Lok
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada
| | - Scott V Bratman
- Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada; Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
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Grossman D, Kim CC, Hartman RI, Berry E, Nelson KC, Okwundu N, Curiel-Lewandrowski C, Leachman SA, Swetter SM. Prognostic gene expression profiling in melanoma: necessary steps to incorporate into clinical practice. Melanoma Manag 2019; 6:MMT32. [PMID: 31871621 PMCID: PMC6920745 DOI: 10.2217/mmt-2019-0016] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Accepted: 11/14/2019] [Indexed: 01/01/2023] Open
Abstract
Prognostic gene expression profiling (GEP) tests for cutaneous melanoma (CM) are not recommended in current guidelines outside of a clinical trial. However, their use is becoming more prevalent and some practitioners are using GEP tests to guide patient management. Thus, there is an urgent need to bridge this gap between test usage and clinical guideline recommendations by obtaining high-quality evidence to guide us toward best practice use of GEP testing in CM patients. We focus here on the opportunities and uncertainties associated with prognostic GEP testing in CM, review how GEP testing was incorporated into clinical care guidelines for uveal melanoma and breast cancer and discuss the role of clinical trials to determine best use in patients with CM.
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Affiliation(s)
- Douglas Grossman
- Dermatology, Huntsman Cancer Institute & University of Utah Health Sciences Center, Salt Lake City, UT 84112, USA
| | - Caroline C Kim
- Dermatology, Tufts Medical Center, Boston & Newton Wellesley Hospital, Wellesley, MA 02111, USA
| | - Rebecca I Hartman
- Dermatology, Brigham & Women’s Hospital, Harvard Medical School, & Veterans Affairs Boston Healthcare System, Boston, MA 02446, USA
| | - Elizabeth Berry
- Dermatology, Oregon Health & Sciences University & Knight Cancer Institute, Portland, OR 97239, USA
| | - Kelly C Nelson
- Dermatology, MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Nwanneka Okwundu
- Dermatology, Huntsman Cancer Institute & University of Utah Health Sciences Center, Salt Lake City, UT 84112, USA
| | | | - Sancy A Leachman
- Dermatology, Oregon Health & Sciences University & Knight Cancer Institute, Portland, OR 97239, USA
| | - Susan M Swetter
- Dermatology, Stanford University Medical Center & Veterans Affairs Palo Alto Health Care System, Palo Alto, CA 94305, USA
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