1
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Chen JH, Addanki S, Roy D, Bassett R, Kalashnikova E, Spickard E, Kuerer HM, Meas S, Sarli VN, Korkut A, White JB, Rauch GM, Tripathy D, Arun BK, Barcenas CH, Yam C, Sethi H, Rodriguez AA, Liu MC, Moulder SL, Lucci A. Monitoring response to neoadjuvant chemotherapy in triple negative breast cancer using circulating tumor DNA. BMC Cancer 2024; 24:1016. [PMID: 39148033 PMCID: PMC11328413 DOI: 10.1186/s12885-024-12689-6] [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: 03/15/2024] [Accepted: 07/24/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Triple negative breast cancer (TNBC) is an aggressive subtype with poor prognosis. We aimed to determine whether circulating tumor DNA (ctDNA) and circulating tumor cell (CTC) could predict response and long-term outcomes to neoadjuvant chemotherapy (NAC). METHODS Patients with TNBC were enrolled between 2017-2021 at The University of Texas MD Anderson Cancer Center (Houston, TX). Serial plasma samples were collected at four timepoints: pre-NAC (baseline), 12-weeks after NAC (mid-NAC), after NAC/prior to surgery (post-NAC), and one-year after surgery. ctDNA was quantified using a tumor-informed ctDNA assay (SignateraTM, Natera, Inc.) and CTC enumeration using CellSearch. Wilcoxon and Fisher's exact tests were used for comparisons between groups and Kaplan-Meier analysis used for survival outcomes. RESULTS In total, 37 patients were enrolled. The mean age was 50 and majority of patients had invasive ductal carcinoma (34, 91.9%) with clinical T2, (25, 67.6%) node-negative disease (21, 56.8%). Baseline ctDNA was detected in 90% (27/30) of patients, of whom 70.4% (19/27) achieved ctDNA clearance by mid-NAC. ctDNA clearance at mid-NAC was significantly associated with pathologic complete response (p = 0.02), whereas CTC clearance was not (p = 0.52). There were no differences in overall survival (OS) and recurrence-free survival (RFS) with positive baseline ctDNA and CTC. However, positive ctDNA at mid-NAC was significantly associated with worse OS and RFS (p = 0.0002 and p = 0.0034, respectively). CONCLUSIONS Early clearance of ctDNA served as a predictive and prognostic marker in TNBC. Personalized ctDNA monitoring during NAC may help predict response and guide treatment.
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Affiliation(s)
- Jennifer H Chen
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, FCT 7.6000, Unit 1484,, Houston, TX, 77030, US
| | - Sridevi Addanki
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, FCT 7.6000, Unit 1484,, Houston, TX, 77030, US
| | - Dhruvajyoti Roy
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, FCT 7.6000, Unit 1484,, Houston, TX, 77030, US
| | - Roland Bassett
- Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | | | | | - Henry M Kuerer
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, FCT 7.6000, Unit 1484,, Houston, TX, 77030, US
| | - Salyna Meas
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, FCT 7.6000, Unit 1484,, Houston, TX, 77030, US
| | - Vanessa N Sarli
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, FCT 7.6000, Unit 1484,, Houston, TX, 77030, US
| | - Anil Korkut
- Department of Bioinformatics and Computational Biology, The University of Texas M.D. Anderson Cancer Center, Houston, TX, USA
| | - Jason B White
- Breast Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Gaiane M Rauch
- Abdominal Imaging Department, MD Anderson Cancer Center, Houston, TX, USA
| | - Debu Tripathy
- Breast Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Banu K Arun
- Breast Medical Oncology and Clinical Cancer Genetics, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Carlos H Barcenas
- Breast Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | - Clinton Yam
- Breast Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA
| | | | | | | | - Stacy L Moulder
- Medical Oncology, Eli Lilly and Company, Indianapolis, IN, USA
| | - Anthony Lucci
- Department of Breast Surgical Oncology, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, FCT 7.6000, Unit 1484,, Houston, TX, 77030, US.
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Panet F, Papakonstantinou A, Borrell M, Vivancos J, Vivancos A, Oliveira M. Use of ctDNA in early breast cancer: analytical validity and clinical potential. NPJ Breast Cancer 2024; 10:50. [PMID: 38898045 PMCID: PMC11187121 DOI: 10.1038/s41523-024-00653-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 06/01/2024] [Indexed: 06/21/2024] Open
Abstract
Circulating free tumor DNA (ctDNA) analysis is gaining popularity in precision oncology, particularly in metastatic breast cancer, as it provides non-invasive, real-time tumor information to complement tissue biopsies, allowing for tailored treatment strategies and improved patient selection in clinical trials. Its use in early breast cancer has been limited so far, due to the relatively low sensitivity of available techniques in a setting characterized by lower levels of ctDNA shedding. However, advances in sequencing and bioinformatics, as well as the use of methylome profiles, have led to an increasing interest in the application of ctDNA analysis in early breast cancer, from screening to curative treatment evaluation and minimal residual disease (MRD) detection. With multiple prospective clinical trials in this setting, ctDNA evaluation may become useful in clinical practice. This article reviews the data regarding the analytical validity of the currently available tests for ctDNA detection and the clinical potential of ctDNA analysis in early breast cancer.
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Affiliation(s)
- François Panet
- Breast Cancer Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
- Lady Davis Institute, Jewish General Hospital, Montréal, QC, Canada
| | - Andri Papakonstantinou
- Department of Oncology-Pathology, Karolinska Institute, Stockholm, Sweden
- Department of Breast, Endocrine Tumors and Sarcomas, Karolinska Comprehensive Cancer Center, Karolinska University Hospital, Stockholm, Sweden
| | - Maria Borrell
- Breast Cancer Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain
- Medical Oncology Department, Vall d'Hebron Hospital, Barcelona, Spain
| | - Joan Vivancos
- Cancer Genomics Group, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Ana Vivancos
- Cancer Genomics Group, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Mafalda Oliveira
- Breast Cancer Group, Vall d'Hebron Institute of Oncology (VHIO), Barcelona, Spain.
- Medical Oncology Department, Vall d'Hebron Hospital, Barcelona, Spain.
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3
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Capella MP, Fallah P, Basik M. Personalized circulating tumor DNA response to local radiotherapy in a patient with an early lobular breast cancer: A case report. Oncol Lett 2024; 27:282. [PMID: 38736743 PMCID: PMC11082640 DOI: 10.3892/ol.2024.14415] [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: 12/19/2023] [Accepted: 03/26/2024] [Indexed: 05/14/2024] Open
Abstract
The detection of circulating tumor DNA (ctDNA) in the plasma of cancer patients is emerging as a very sensitive and specific prognostic biomarker. Previous studies with ctDNA have focused on the ability of ctDNA detection to predict micrometastatic and eventual clinical metastatic relapse. There are few data on the role of ctDNA in monitoring response to local therapy. The present study reports the case of a patient with early-stage lobular breast cancer, with a detectable ctDNA test which resolved with local radiotherapy to the breast. This case suggests that ctDNA is sensitive enough to detect the response of minimal residual disease, localized in the breast, to radiation therapy, and thus may assist in providing indications for local breast cancer treatment.
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Affiliation(s)
- Mariana Pilon Capella
- Department of Medicine and Oncology, Lady Davis Institute and Segal Cancer Centre, Jewish General Hospital, McGill University Montreal, Montreal, QC H3T 1E2, Canada
| | - Parvaneh Fallah
- Department of Medicine and Oncology, Lady Davis Institute and Segal Cancer Centre, Jewish General Hospital, McGill University Montreal, Montreal, QC H3T 1E2, Canada
| | - Mark Basik
- Division of Oncology, Lady Davis Institute and Segal Cancer Centre, Jewish General Hospital, McGill University Montreal, Montreal, QC H3T 1E2, Canada
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4
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Gao L, Medford A, Spring L, Bar Y, Hu B, Jimenez R, Isakoff SJ, Bardia A, Peppercorn J. Searching for the "Holy Grail" of breast cancer recurrence risk: a narrative review of the hunt for a better biomarker and the promise of circulating tumor DNA (ctDNA). Breast Cancer Res Treat 2024; 205:211-226. [PMID: 38355821 DOI: 10.1007/s10549-024-07253-6] [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: 08/14/2023] [Accepted: 01/08/2024] [Indexed: 02/16/2024]
Abstract
BACKGROUND This paper is a narrative review of a major clinical challenge at the heart of breast cancer care: determining which patients are at risk of recurrence, which require systemic therapy, and which remain at risk in the survivorship phase of care despite initial therapy. METHODS We review the literature on prognostic and predictive biomarkers in breast cancer with a focus on detection of minimal residual disease. RESULTS While we have many tools to estimate and refine risk that are used to individualize local and systemic therapy, we know that we continue to over treat many patients and undertreat others. Many patients also experience what is, at least in hindsight, needless fear of recurrence. In this review, we frame this dilemma for the practicing breast oncologist and discuss the search for what we term the "holy grail" of breast cancer evaluation: the ideal biomarker of residual distant disease. We review the history of attempts to address this problem and the up-to-date science on biomarkers, circulating tumor cells and circulating tumor DNA (ctDNA). CONCLUSION This review suggests that the emerging promise of ctDNA may help resolve a crticical dilemma at the heart of breast cancer care, and improve prognostication, treatment selection, and outcomes for patients with breast cancer.
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Affiliation(s)
- Lucy Gao
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Arielle Medford
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Laura Spring
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Yael Bar
- Massachusetts General Hospital, Boston, MA, USA
| | - Bonnie Hu
- Massachusetts General Hospital, Boston, MA, USA
| | - Rachel Jimenez
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Steven J Isakoff
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Aditya Bardia
- Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Jeffrey Peppercorn
- Massachusetts General Hospital, Boston, MA, USA.
- Harvard Medical School, Boston, MA, USA.
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5
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Xu J, Gao H, Guan X, Meng J, Ding S, Long Q, Yi W. Circulating tumor DNA: from discovery to clinical application in breast cancer. Front Immunol 2024; 15:1355887. [PMID: 38745646 PMCID: PMC11091288 DOI: 10.3389/fimmu.2024.1355887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Accepted: 04/16/2024] [Indexed: 05/16/2024] Open
Abstract
Breast cancer (BC) stands out as the cancer with the highest incidence of morbidity and mortality among women worldwide, and its incidence rate is currently trending upwards. Improving the efficiency of breast cancer diagnosis and treatment is crucial, as it can effectively reduce the disease burden. Circulating tumor DNA (ctDNA) originates from the release of tumor cells and plays a pivotal role in the occurrence, development, and metastasis of breast cancer. In recent years, the widespread application of high-throughput analytical technology has made ctDNA a promising biomarker for early cancer detection, monitoring minimal residual disease, early recurrence monitoring, and predicting treatment outcomes. ctDNA-based approaches can effectively compensate for the shortcomings of traditional screening and monitoring methods, which fail to provide real-time information and prospective guidance for breast cancer diagnosis and treatment. This review summarizes the applications of ctDNA in various aspects of breast cancer, including screening, diagnosis, prognosis, treatment, and follow-up. It highlights the current research status in this field and emphasizes the potential for future large-scale clinical applications of ctDNA-based approaches.
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Affiliation(s)
- Jiachi Xu
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center For Breast Disease In Hunan Province, Changsha, China
| | - Hongyu Gao
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center For Breast Disease In Hunan Province, Changsha, China
| | - Xinyu Guan
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center For Breast Disease In Hunan Province, Changsha, China
| | - Jiahao Meng
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center For Breast Disease In Hunan Province, Changsha, China
| | - Shirong Ding
- Department of Oncology, The Second Xiangya Hospital of Central South University, Changsha, Hunan, China
| | - Qian Long
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center For Breast Disease In Hunan Province, Changsha, China
| | - Wenjun Yi
- Department of General Surgery, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China
- Clinical Research Center For Breast Disease In Hunan Province, Changsha, China
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6
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Lee TH, Kim H, Kim YJ, Park WY, Park W, Cho WK, Kim N. Implication of Pre- and Post-radiotherapy ctDNA Dynamics in Patients with Residual Triple-Negative Breast Cancer at Surgery after Neoadjuvant Chemotherapy: Findings from a Prospective Observational Study. Cancer Res Treat 2024; 56:531-537. [PMID: 37946409 PMCID: PMC11016633 DOI: 10.4143/crt.2023.996] [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: 08/31/2023] [Accepted: 11/09/2023] [Indexed: 11/12/2023] Open
Abstract
PURPOSE This study aims to determine the association between pre- and postoperative radiotherapy (PORT) circulating tumor DNA (ctDNA) dynamics and oncological outcomes in patients with residual triple-negative breast cancer who underwent surgery after neoadjuvant chemotherapy (NAC). MATERIALS AND METHODS Between March 2019 and July 2020, 11 nonmetastatic patients with residual disease who underwent surgery after NAC were prospectively enrolled. In each patient, tumor specimens obtained during surgery and blood samples collected at three time points during PORT (T0: pre-PORT, T1: 3 weeks after PORT, T2: 1 month after PORT) were sequenced, targeting 38 cancer-related genes. Disease-free survival (DFS) was evaluated and the association between DFS and ctDNA dynamics was analyzed. RESULTS At T0, ctDNA was detected in three (27.2%) patients. The ctDNA dynamics were as follows: two showed a decreasing ctDNA variant allele frequency (VAF) and reached zero VAF at T2, while one patient exhibited an increasing VAF during PORT and maintained an elevated VAF at T2. After a median follow-up of 48 months, two patients experienced distant metastasis without any locoregional failures. All failures occurred in patients with ctDNA positivity at T0 and a decreased VAF after PORT. The 4-year DFS rates according to the T0 ctDNA status were 67% (positive ctDNA) and 100% (negative ctDNA) (p=0.032). CONCLUSION More than a quarter of the patients with residual disease after post-NAC surgery exhibited pre-PORT ctDNA positivity, and ctDNA positivity was associated with poor DFS. For patients with pre-PORT ctDNA positivity, the administration of a more effective systemic treatment should be considered.
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Affiliation(s)
- Tae Hoon Lee
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Haeyoung Kim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Yeon Jeong Kim
- Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Seoul, Korea
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, Korea
| | - Won Park
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Won Kyung Cho
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Nalee Kim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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7
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Guo N, Zhou Q, Chen X, Zeng B, Wu S, Zeng H, Sun F. Circulating tumor DNA as prognostic markers of relapsed breast cancer: a systematic review and meta-analysis. JOURNAL OF THE NATIONAL CANCER CENTER 2024; 4:63-73. [PMID: 39036387 PMCID: PMC11256521 DOI: 10.1016/j.jncc.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 01/02/2024] [Accepted: 01/16/2024] [Indexed: 07/23/2024] Open
Abstract
Objective Circulating tumor DNA (ctDNA) is increasingly being used as a potential prognosis biomarker in patients of breast cancer. This review aims to assess the clinical value of ctDNA in outcome prediction in breast cancer patients throughout the whole treatment cycle. Methods PubMed, Web of Science, Embase, Cochrane Library, Scopus, and clinical trials.gov were searched from January 2016 to May 2022. Conference abstracts published in last three years were also included. The following search terms were used: ctDNA OR circulating tumor DNA AND breast cancer OR breast carcinoma. Only studies written in English languages were included. The following pre-specified criteria should be met for inclusion: (1) observational studies (prospective or retrospective), randomized control trials, case-control studies and case series studies; (2) patients with breast cancer; (3) ctDNA measurement; (4) clinical outcome data such as objective response rate (ORR), pathological complete response (pCR), relapse-free survival (RFS), overall survival (OS), and so on. The random-effect model was preferred considering the potential heterogeneity across studies. The primary outcomes included postoperative short-term outcomes (ORR and pCR) and postoperative long-term outcomes (RFS, OS, and relapse). Secondary outcomes focused on ctDNA detection rate. Results A total of 30 studies, comprising of 19 cohort studies, 2 case-control studies and 9 case series studies were included. The baseline ctDNA was significantly negatively associated with ORR outcome (Relative Risk [RR] = 0.65, 95% confidence interval [CI]: 0.50-0.83), with lower ORR in the ctDNA-positive group than ctDNA-negative group. ctDNA during neoadjuvant therapy (NAT) treatment was significantly associated with pCR outcomes (Odds Ratio [OR] = 0.15, 95% CI: 0.04-0.54). The strong association between ctDNA and RFS or relapse outcome was significant across the whole treatment period, especially after the surgery (RFS: Hazard Ratio [HR] = 6.74, 95% CI: 3.73-12.17; relapse outcome: RR = 7.11, 95% CI: 3.05-16.53), although there was heterogeneity in these results. Pre-operative and post-operative ctDNA measurements were significantly associated with OS outcomes (pre-operative: HR = 2.03, 95% CI: 1.12-3.70; post-operative: HR = 6.03, 95% CI: 1.31-27.78). Conclusions In this review, ctDNA measurements at different timepoints are correlated with evaluation indexes at different periods after treatment. The ctDNA can be used as an early potential postoperative prognosis biomarker in breast cancer, and also as a reference index to evaluate the therapeutic effect at different stages.
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Affiliation(s)
- Na'na Guo
- Hebei Province Centers for Disease Control and Prevention, Shijiazhuang, China
| | - Qingxin Zhou
- Tianjin Centers for Disease Control and Prevention, Tianjin, China
| | - Xiaowei Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Baoqi Zeng
- Department of Science and Education, Peking University Binhai Hospital, Tianjin, China
| | - Shanshan Wu
- Clinical Epidemiology and EBM Unit, National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Hongmei Zeng
- National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Feng Sun
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
- Key Laboratory of Major Disease Epidemiology, Ministry of Education (Peking University), Beijing, China
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8
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Nader-Marta G, Monteforte M, Agostinetto E, Cinquini M, Martins-Branco D, Langouo M, Llombart-Cusac A, Cortés J, Ignatiadis M, Torri V, Apolone G, Cappelletti V, Pruneri G, de Azambuja E, Di Cosimo S. Circulating tumor DNA for predicting recurrence in patients with operable breast cancer: a systematic review and meta-analysis. ESMO Open 2024; 9:102390. [PMID: 38460249 PMCID: PMC10940943 DOI: 10.1016/j.esmoop.2024.102390] [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: 11/29/2023] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 03/11/2024] Open
Abstract
BACKGROUND The incorporation of circulating tumor DNA (ctDNA) into the management of operable breast cancer (BC) has been hampered by the heterogeneous results from different studies. We aimed to assess the prognostic value of ctDNA in patients with operable (non metastatic) BC. MATERIALS AND METHODS A systematic search of databases (PubMed/Medline, Embase, and CENTRAL) and conference proceedings was conducted to identify studies reporting the association of ctDNA detection with disease-free survival (DFS) and overall survival (OS) in patients with stage I-III BC. Log-hazard ratios (HRs) were pooled at each timepoint of ctDNA assessment (baseline, after neoadjuvant therapy, and follow-up). ctDNA assays were classified as primary tumor-informed and non tumor-informed. RESULTS Of the 3174 records identified, 57 studies including 5779 patients were eligible. In univariate analyses, ctDNA detection was associated with worse DFS at baseline [HR 2.98, 95% confidence interval (CI) 1.92-4.63], after neoadjuvant therapy (HR 7.69, 95% CI 4.83-12.24), and during follow-up (HR 14.04, 95% CI 7.55-26.11). Similarly, ctDNA detection at all timepoints was associated with worse OS (at baseline: HR 2.76, 95% CI 1.60-4.77; after neoadjuvant therapy: HR 2.72, 95% CI 1.44-5.14; and during follow-up: HR 9.19, 95% CI 3.26-25.90). Similar DFS and OS results were observed in multivariate analyses. Pooled HRs were numerically higher when ctDNA was detected at the end of neoadjuvant therapy or during follow-up and for primary tumor-informed assays. ctDNA detection sensitivity and specificity for BC recurrence ranged from 0.31 to 1.0 and 0.7 to 1.0, respectively. The mean lead time from ctDNA detection to overt recurrence was 10.81 months (range 0-58.9 months). CONCLUSIONS ctDNA detection was associated with worse DFS and OS in patients with operable BC, particularly when detected after treatment and using primary tumor-informed assays. ctDNA detection has a high specificity for anticipating BC relapse.
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Affiliation(s)
- G Nader-Marta
- Academic Trials Promoting Team (ATPT), Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium.
| | - M Monteforte
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - E Agostinetto
- Academic Trials Promoting Team (ATPT), Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium. https://twitter.com/ElisaAgostinett
| | - M Cinquini
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - D Martins-Branco
- Academic Trials Promoting Team (ATPT), Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium. https://twitter.com/DMBranco
| | - M Langouo
- Medical Oncology Department, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium
| | - A Llombart-Cusac
- Medica Scientia Innovation Research (MEDSIR), Barcelona, Spain; Medica Scientia Innovation Research (MEDSIR), Ridgewood, New Jersey, USA; Arnau de Vilanova Hospital; Universidad Católica de Valencia, Valencia, Spain
| | - J Cortés
- Medica Scientia Innovation Research (MEDSIR), Barcelona, Spain; Medica Scientia Innovation Research (MEDSIR), Ridgewood, New Jersey, USA; International Breast Cancer Center (IBCC), Pangaea Oncology, Quiron Group, Barcelona, Spain; Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Madrid, Spain. https://twitter.com/JavierCortesMD
| | - M Ignatiadis
- Academic Trials Promoting Team (ATPT), Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium; Medical Oncology Department, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium. https://twitter.com/MIgnatiadis
| | - V Torri
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy. https://twitter.com/ValterTorri
| | - G Apolone
- Scientific Directorate, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - V Cappelletti
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
| | - G Pruneri
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy; University of Milan, School of Medicine, Milan, Italy. https://twitter.com/PruneriG
| | - E de Azambuja
- Academic Trials Promoting Team (ATPT), Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium; Medical Oncology Department, Institut Jules Bordet, Hôpital Universitaire de Bruxelles (HUB), Université Libre de Bruxelles (U.L.B), Brussels, Belgium. https://twitter.com/E_de_Azambuja
| | - S Di Cosimo
- Department of Advanced Diagnostics, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. https://twitter.com/serenadicosimo
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9
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Janssen LM, Janse MHA, Penning de Vries BBL, van der Velden BHM, Wolters-van der Ben EJM, van den Bosch SM, Sartori A, Jovelet C, Agterof MJ, Ten Bokkel Huinink D, Bouman-Wammes EW, van Diest PJ, van der Wall E, Elias SG, Gilhuijs KGA. Predicting response to neoadjuvant chemotherapy with liquid biopsies and multiparametric MRI in patients with breast cancer. NPJ Breast Cancer 2024; 10:10. [PMID: 38245552 PMCID: PMC10799888 DOI: 10.1038/s41523-024-00611-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 12/07/2023] [Indexed: 01/22/2024] Open
Abstract
Accurate prediction of response to neoadjuvant chemotherapy (NAC) can help tailor treatment to individual patients' needs. Little is known about the combination of liquid biopsies and computer extracted features from multiparametric magnetic resonance imaging (MRI) for the prediction of NAC response in breast cancer. Here, we report on a prospective study with the aim to explore the predictive potential of this combination in adjunct to standard clinical and pathological information before, during and after NAC. The study was performed in four Dutch hospitals. Patients without metastases treated with NAC underwent 3 T multiparametric MRI scans before, during and after NAC. Liquid biopsies were obtained before every chemotherapy cycle and before surgery. Prediction models were developed using penalized linear regression to forecast residual cancer burden after NAC and evaluated for pathologic complete response (pCR) using leave-one-out-cross-validation (LOOCV). Sixty-one patients were included. Twenty-three patients (38%) achieved pCR. Most prediction models yielded the highest estimated LOOCV area under the curve (AUC) at the post-treatment timepoint. A clinical-only model including tumor grade, nodal status and receptor subtype yielded an estimated LOOCV AUC for pCR of 0.76, which increased to 0.82 by incorporating post-treatment radiological MRI assessment (i.e., the "clinical-radiological" model). The estimated LOOCV AUC was 0.84 after incorporation of computer-extracted MRI features, and 0.85 when liquid biopsy information was added instead of the radiological MRI assessment. Adding liquid biopsy information to the clinical-radiological resulted in an estimated LOOCV AUC of 0.86. In conclusion, inclusion of liquid biopsy-derived markers in clinical-radiological prediction models may have potential to improve prediction of pCR after NAC in breast cancer.
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Affiliation(s)
- L M Janssen
- Image Sciences Institute, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - M H A Janse
- Image Sciences Institute, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - B B L Penning de Vries
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - B H M van der Velden
- Image Sciences Institute, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | | | | | - A Sartori
- Agena Bioscience GmbH, Hamburg, Germany
| | - C Jovelet
- Stilla Technologies, Villejuif, France
| | - M J Agterof
- Department of Medical Oncology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - D Ten Bokkel Huinink
- Department of Medical Oncology, Alexander Monro Hospital, Bilthoven, The Netherlands
| | - E W Bouman-Wammes
- Department of Medical Oncology, Albert Schweitzer Hospital, Dordrecht, The Netherlands
| | - P J van Diest
- Department of Pathology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - E van der Wall
- Department of Medical Oncology, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - S G Elias
- Julius Center for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
| | - K G A Gilhuijs
- Image Sciences Institute, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands.
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10
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Zaikova E, Cheng BYC, Cerda V, Kong E, Lai D, Lum A, Bates C, den Brok W, Kono T, Bourque S, Chan A, Feng X, Fenton D, Gurjal A, Levasseur N, Lohrisch C, Roberts S, Shenkier T, Simmons C, Taylor S, Villa D, Miller R, Aguirre-Hernandez R, Aparicio S, Gelmon K. Circulating tumour mutation detection in triple-negative breast cancer as an adjunct to tissue response assessment. NPJ Breast Cancer 2024; 10:3. [PMID: 38182588 PMCID: PMC10770342 DOI: 10.1038/s41523-023-00607-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 12/02/2023] [Indexed: 01/07/2024] Open
Abstract
Circulating tumour DNA (ctDNA) detection via liquid biopsy is an emerging alternative to tissue biopsy, but its potential in treatment response monitoring and prognosis in triple negative breast cancer (TNBC) is not yet well understood. Here we determined the prevalence of actionable mutations detectable in ctDNA using a clinically validated cancer gene panel assay in patients with TNBC, without recurrence at the time of study entry. Sequencing of plasma DNA and validation of variants from 130 TNBC patients collected within 7 months of primary treatment completion revealed that 7.7% had detectable residual disease with a hotspot panel. Among neoadjuvant treated patients, we observed a trend where patients with incomplete pathologic response and positive ctDNA within 7 months of treatment completion were at much higher risk of reduced progression free survival. We propose that a high risk subset of early TNBC patients treated in neoadjuvant therapy protocols may be identifiable by combining tissue response and sensitive ctDNA detection.
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Affiliation(s)
- Elena Zaikova
- Molecular Oncology, BC Cancer, 675 W10th Avenue, Vancouver, Canada
| | - Brian Y C Cheng
- Molecular Oncology, BC Cancer, 675 W10th Avenue, Vancouver, Canada
| | - Viviana Cerda
- Molecular Oncology, BC Cancer, 675 W10th Avenue, Vancouver, Canada
| | - Esther Kong
- Molecular Oncology, BC Cancer, 675 W10th Avenue, Vancouver, Canada
| | - Daniel Lai
- Molecular Oncology, BC Cancer, 675 W10th Avenue, Vancouver, Canada
| | - Amy Lum
- Molecular Oncology, BC Cancer, 675 W10th Avenue, Vancouver, Canada
| | - Cherie Bates
- Molecular Oncology, BC Cancer, 675 W10th Avenue, Vancouver, Canada
| | - Wendie den Brok
- Medical Oncology, BC Cancer, 600 W10th Avenue, Vancouver, Canada
| | - Takako Kono
- Molecular Oncology, BC Cancer, 675 W10th Avenue, Vancouver, Canada
| | - Sylvie Bourque
- Medical Oncology, BC Cancer, 13750 96 Ave, Surrey, Canada
| | - Angela Chan
- Medical Oncology, BC Cancer, 13750 96 Ave, Surrey, Canada
| | - Xioalan Feng
- Medical Oncology, BC Cancer, 2410 Lee Ave, Victoria, Canada
| | - David Fenton
- Medical Oncology, BC Cancer, 2410 Lee Ave, Victoria, Canada
| | - Anagha Gurjal
- Medical Oncology, BC Cancer, 32900 Marshall Rd, Abbotsford, Canada
| | | | | | - Sarah Roberts
- Medical Oncology, BC Cancer, 1215 Lethbridge St, Prince George, Canada
| | - Tamara Shenkier
- Medical Oncology, BC Cancer, 600 W10th Avenue, Vancouver, Canada
| | | | - Sara Taylor
- Medical Oncology, BC Cancer, 399 Royal Ave, Kelowna, Canada
| | - Diego Villa
- Medical Oncology, BC Cancer, 600 W10th Avenue, Vancouver, Canada
| | - Ruth Miller
- Imagia Canexia Health, 204-2389 Health Sciences Mall, Vancouver, Canada
| | | | - Samuel Aparicio
- Molecular Oncology, BC Cancer, 675 W10th Avenue, Vancouver, Canada.
| | - Karen Gelmon
- Medical Oncology, BC Cancer, 600 W10th Avenue, Vancouver, Canada.
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11
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Aguilar-Mahecha A, Alirezaie N, Lafleur J, Bareke E, Przybytkowski E, Lan C, Cavallone L, Salem M, Pelmus M, Aleynikova O, Greenwood C, Lovato A, Ferrario C, Boileau JF, Mihalcioiu C, Roy JA, Marcus E, Discepola F, Majewski J, Basik M. The Mutational Spectrum of Pre- and Post-Neoadjuvant Chemotherapy Triple-Negative Breast Cancers. Genes (Basel) 2023; 15:27. [PMID: 38254917 PMCID: PMC10815241 DOI: 10.3390/genes15010027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Revised: 12/14/2023] [Accepted: 12/20/2023] [Indexed: 01/24/2024] Open
Abstract
The response of triple-negative breast cancer (TNBC) patients to pre-operative (neoadjuvant chemotherapy) is a critical factor of their outcome. To determine the effects of chemotherapy on the tumor genome and to identify mutations associated with chemoresistance and sensitivity, we performed whole exome sequencing on pre/post-chemotherapy tumors and matched lymphocytes from 26 patients. We observed great inter-tumoral heterogeneity with no gene mutated recurrently in more than four tumors besides TP53. Although the degree of response to chemotherapy in residual tumors was associated with more subclonal changes during chemotherapy, there was minimal evolution between pre/post-tumors. Indeed, gene sets enriched for mutations in pre- and post-chemotherapy tumors were very similar and reflected genes involved in the biological process of neurogenesis. Somatically mutated genes present in chemosensitive tumors included COL1A2, PRMD15, APOBEC3B, PALB2 and histone protein encoding genes, while BRCA1, ATR, ARID1A, XRCC3 and genes encoding for tubulin-associated proteins were present in the chemoresistant tumors. We also found that the mutational spectrum of post-chemotherapy tumors was more reflective of matching metastatic tumor biopsies than pre-chemotherapy samples. These findings support a portrait of modest ongoing genomic instability with respect to single-nucleotide variants induced by or selected for by chemotherapy in TNBCs.
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Affiliation(s)
- Adriana Aguilar-Mahecha
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Najmeh Alirezaie
- Department of Human Genetics, McGill University, Montreal, QC H3A 1A4, Canada; (N.A.); (J.M.)
| | - Josiane Lafleur
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Eric Bareke
- Department of Human Genetics, McGill University, Montreal, QC H3A 1A4, Canada; (N.A.); (J.M.)
| | - Ewa Przybytkowski
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Cathy Lan
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Luca Cavallone
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Myriam Salem
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Manuela Pelmus
- Department of Pathology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Olga Aleynikova
- Department of Pathology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Celia Greenwood
- Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada; (C.G.)
| | - Amanda Lovato
- Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada; (C.G.)
| | - Cristiano Ferrario
- Department of Oncology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | | | | | - Josée-Anne Roy
- Hôpital du Sacré-Cœur de Montréal, Montreal, QC H4J 1C5, Canada;
| | | | - Federico Discepola
- Department of Radiology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
| | - Jacek Majewski
- Department of Human Genetics, McGill University, Montreal, QC H3A 1A4, Canada; (N.A.); (J.M.)
| | - Mark Basik
- Cancer Genomics and Translational Research Laboratory, Lady Davis Institute, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
- Department of Oncology, Jewish General Hospital, Montreal, QC H3T 1E2, Canada
- McGill University Health Center, Montreal, QC H3A 3J1, Canada
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12
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Aldrich J, Canning M, Bhave M. Monitoring of Triple Negative Breast Cancer After Neoadjuvant Chemotherapy. Clin Breast Cancer 2023; 23:832-834. [PMID: 37596146 DOI: 10.1016/j.clbc.2023.08.001] [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: 06/16/2023] [Accepted: 08/02/2023] [Indexed: 08/20/2023]
Abstract
Triple negative breast cancer (TNBC) is an aggressive disease with a poor prognosis that disproportionately affects young women and African Americans, and represents a major unmet need in the field. TNBCs display a more aggressive growth pattern with an increased risk of advanced disease and high recurrence risk in patients with early stage TNBC. The addition of immunotherapy to chemotherapy for the treatment of patients with early stage TNBC in the (neo) adjuvant setting per the pivotal KEYNOTE 522 significantly improved pCR rates. Despite this advancement, however, approximately 35% of patients had residual disease at the time of surgery and reduced event free survival. Further techniques to assess for molecular residual disease after completion of neoadjuvant chemotherapy (NAC) may allow us to identify patients at high risk of relapse who may benefit from salvage adjuvant systemic therapy, while also potentially de-escalating treatment in those achieving a molecular complete response.
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Affiliation(s)
- Jeffrey Aldrich
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA
| | - Madison Canning
- Department of Medicine, Emory School of Medicine, Emory University, Atlanta, GA
| | - Manali Bhave
- Department of Hematology and Medical Oncology, Winship Cancer Institute, Emory University, Atlanta, GA.
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13
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Chi Y, Su M, Zhou D, Zheng F, Zhang B, Qiang L, Ren G, Song L, Bu B, Fang S, Yu B, Zhou J, Yu J, Li H. Dynamic analysis of circulating tumor DNA to predict the prognosis and monitor the treatment response of patients with metastatic triple-negative breast cancer: A prospective study. eLife 2023; 12:e90198. [PMID: 37929934 PMCID: PMC10627511 DOI: 10.7554/elife.90198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 10/22/2023] [Indexed: 11/07/2023] Open
Abstract
Background Limited data are available on applying circulating tumor DNA (ctDNA) in metastatic triple-negative breast cancer (mTNBC) patients. Here, we investigated the value of ctDNA for predicting the prognosis and monitoring the treatment response in mTNBC patients. Methods We prospectively enrolled 70 Chinese patients with mTNBC who had progressed after ≤2 lines of chemotherapy and collected blood samples to extract ctDNA for 457-gene targeted panel sequencing. Results Patients with ctDNA+, defined by 12 prognosis-relevant mutated genes, had a shorter progression-free survival (PFS) than ctDNA- patients (5.16 months vs. 9.05 months, p=0.001), and ctDNA +was independently associated with a shorter PFS (HR, 95% CI: 2.67, 1.2-5.96; p=0.016) by multivariable analyses. Patients with a higher mutant-allele tumor heterogeneity (MATH) score (≥6.316) or a higher ctDNA fraction (ctDNA%≥0.05) had a significantly shorter PFS than patients with a lower MATH score (5.67 months vs.11.27 months, p=0.007) and patients with a lower ctDNA% (5.45 months vs. 12.17 months, p<0.001), respectively. Positive correlations with treatment response were observed for MATH score (R=0.24, p=0.014) and ctDNA% (R=0.3, p=0.002), but not the CEA, CA125, or CA153. Moreover, patients who remained ctDNA +during dynamic monitoring tended to have a shorter PFS than those who did not (3.90 months vs. 6.10 months, p=0.135). Conclusions ctDNA profiling provides insight into the mutational landscape of mTNBC and may reliably predict the prognosis and treatment response of mTNBC patients. Funding This work was supported by the National Natural Science Foundation of China (Grant No. 81902713), Natural Science Foundation of Shandong Province (Grant No. ZR2019LZL018), Breast Disease Research Fund of Shandong Provincial Medical Association (Grant No. YXH2020ZX066), the Start-up Fund of Shandong Cancer Hospital (Grant No. 2020-PYB10), Beijing Science and Technology Innovation Fund (Grant No. KC2021-ZZ-0010-1).
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Affiliation(s)
- Yajing Chi
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
- School of Medicine, Nankai UniversityTianjinChina
| | - Mu Su
- Department of Bioinformatics, Berry Oncology CorporationBeijingChina
| | - Dongdong Zhou
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Fangchao Zheng
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Baoxuan Zhang
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Ling Qiang
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Guohua Ren
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Lihua Song
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Bing Bu
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Shu Fang
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Bo Yu
- Department of Bioinformatics, Berry Oncology CorporationBeijingChina
| | - Jinxing Zhou
- Department of Bioinformatics, Berry Oncology CorporationBeijingChina
| | - Jinming Yu
- Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
| | - Huihui Li
- Department of Breast Medical Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical SciencesJinanChina
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14
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Cohen SA, Liu MC, Aleshin A. Practical recommendations for using ctDNA in clinical decision making. Nature 2023; 619:259-268. [PMID: 37438589 DOI: 10.1038/s41586-023-06225-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Accepted: 05/16/2023] [Indexed: 07/14/2023]
Abstract
The continuous improvement in cancer care over the past decade has led to a gradual decrease in cancer-related deaths. This is largely attributed to improved treatment and disease management strategies. Early detection of recurrence using blood-based biomarkers such as circulating tumour DNA (ctDNA) is being increasingly used in clinical practice. Emerging real-world data shows the utility of ctDNA in detecting molecular residual disease and in treatment-response monitoring, helping clinicians to optimize treatment and surveillance strategies. Many studies have indicated ctDNA to be a sensitive and specific biomarker for recurrence. However, most of these studies are largely observational or anecdotal in nature, and peer-reviewed data regarding the use of ctDNA are mainly indication-specific. Here we provide general recommendations on the clinical utility of ctDNA and how to interpret ctDNA analysis in different treatment settings, especially in patients with solid tumours. Specifically, we provide an understanding around the implications, strengths and limitations of this novel biomarker and how to best apply the results in clinical practice.
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Affiliation(s)
- Stacey A Cohen
- Fred Hutchinson Cancer Center, Seattle, WA, USA.
- University of Washington, Seattle, WA, USA.
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15
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Magbanua MJM, Brown Swigart L, Ahmed Z, Sayaman RW, Renner D, Kalashnikova E, Hirst GL, Yau C, Wolf DM, Li W, Delson AL, Asare S, Liu MC, Albain K, Chien AJ, Forero-Torres A, Isaacs C, Nanda R, Tripathy D, Rodriguez A, Sethi H, Aleshin A, Rabinowitz M, Perlmutter J, Symmans WF, Yee D, Hylton NM, Esserman LJ, DeMichele AM, Rugo HS, van 't Veer LJ. Clinical significance and biology of circulating tumor DNA in high-risk early-stage HER2-negative breast cancer receiving neoadjuvant chemotherapy. Cancer Cell 2023; 41:1091-1102.e4. [PMID: 37146605 PMCID: PMC10330514 DOI: 10.1016/j.ccell.2023.04.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 26.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Revised: 01/30/2023] [Accepted: 04/12/2023] [Indexed: 05/07/2023]
Abstract
Circulating tumor DNA (ctDNA) analysis may improve early-stage breast cancer treatment via non-invasive tumor burden assessment. To investigate subtype-specific differences in the clinical significance and biology of ctDNA shedding, we perform serial personalized ctDNA analysis in hormone receptor (HR)-positive/HER2-negative breast cancer and triple-negative breast cancer (TNBC) patients receiving neoadjuvant chemotherapy (NAC) in the I-SPY2 trial. ctDNA positivity rates before, during, and after NAC are higher in TNBC than in HR-positive/HER2-negative breast cancer patients. Early clearance of ctDNA 3 weeks after treatment initiation predicts a favorable response to NAC in TNBC only. Whereas ctDNA positivity associates with reduced distant recurrence-free survival in both subtypes. Conversely, ctDNA negativity after NAC correlates with improved outcomes, even in patients with extensive residual cancer. Pretreatment tumor mRNA profiling reveals associations between ctDNA shedding and cell cycle and immune-associated signaling. On the basis of these findings, the I-SPY2 trial will prospectively test ctDNA for utility in redirecting therapy to improve response and prognosis.
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Affiliation(s)
| | | | - Ziad Ahmed
- University of California, San Francisco, San Francisco, CA 94143, USA
| | - Rosalyn W Sayaman
- University of California, San Francisco, San Francisco, CA 94143, USA
| | | | | | - Gillian L Hirst
- University of California, San Francisco, San Francisco, CA 94143, USA
| | - Christina Yau
- University of California, San Francisco, San Francisco, CA 94143, USA
| | - Denise M Wolf
- University of California, San Francisco, San Francisco, CA 94143, USA
| | - Wen Li
- University of California, San Francisco, San Francisco, CA 94143, USA
| | - Amy L Delson
- UCSF Breast Science Advocacy Core, San Francisco, CA 94143, USA
| | - Smita Asare
- Quantum Leap Healthcare Collaborative, San Francisco, CA 94118, USA
| | - Minetta C Liu
- Natera, Inc., Austin, TX 78753, USA; Mayo Clinic, Rochester, MN 55905, USA
| | - Kathy Albain
- Loyola University Chicago, Maywood, IL 60153, USA
| | - A Jo Chien
- University of California, San Francisco, San Francisco, CA 94143, USA
| | | | | | - Rita Nanda
- University of Chicago, Chicago, IL 60637, USA
| | - Debu Tripathy
- University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | | | | | | | | | - Jane Perlmutter
- UCSF Breast Science Advocacy Core, San Francisco, CA 94143, USA
| | - W Fraser Symmans
- University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
| | - Douglas Yee
- University of Minnesota, Minneapolis, MN 55455, USA
| | - Nola M Hylton
- University of California, San Francisco, San Francisco, CA 94143, USA
| | - Laura J Esserman
- University of California, San Francisco, San Francisco, CA 94143, USA
| | | | - Hope S Rugo
- University of California, San Francisco, San Francisco, CA 94143, USA
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16
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Vlataki K, Antonouli S, Kalyvioti C, Lampri E, Kamina S, Mauri D, Harissis HV, Magklara A. Circulating Tumor DNA in the Management of Early-Stage Breast Cancer. Cells 2023; 12:1573. [PMID: 37371043 DOI: 10.3390/cells12121573] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 05/24/2023] [Accepted: 06/01/2023] [Indexed: 06/29/2023] Open
Abstract
Liquid biopsies refer to the isolation and analysis of tumor-derived biological material from body fluids, most commonly blood, in order to provide clinically valuable information for the management of cancer patients. Their non-invasive nature allows to overcome the limitations of tissue biopsy and complement the latter in guiding therapeutic decision-making. In the past years, several studies have demonstrated that circulating tumor DNA (ctDNA) detection can be used in the clinical setting to improve patient prognosis and monitor therapy response, especially in metastatic cancers. With the advent of significant technological advances in assay development, ctDNA can now be accurately and reliably identified in early-stage cancers despite its low levels in the bloodstream. In this review, we discuss the most important studies that highlight the potential clinical utility of ctDNA in early-stage breast cancer focusing on early diagnosis, detection of minimal residual disease and prediction of metastatic relapse. We also offer a concise description of the most sensitive techniques that are deemed appropriate for ctDNA detection in early-stage cancer and we examine their advantages and disadvantages, as they have been employed in various studies. Finally, we discuss future perspectives on how ctDNA could be better integrated into the everyday oncology practice.
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Affiliation(s)
- Katerina Vlataki
- Department of Clinical Chemistry, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
| | - Sevastiani Antonouli
- Department of Clinical Chemistry, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
| | - Christina Kalyvioti
- Breast Unit, Department of Surgery, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Evangeli Lampri
- Department of Pathology, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Sevasti Kamina
- Department of Pathology, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Davide Mauri
- Department of Medical Oncology, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Haralampos V Harissis
- Breast Unit, Department of Surgery, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Angeliki Magklara
- Department of Clinical Chemistry, Faculty of Medicine, University of Ioannina, 45110 Ioannina, Greece
- Biomedical Research Institute, Foundation for Research and Technology, 45110 Ioannina, Greece
- Institute of Biosciences, University Research Center of Ioannina (URCI), 45110 Ioannina, Greece
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17
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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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18
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Zha R, Wu R, Zong Y, Wang Z, Wu T, Zhong Y, Liang H, Chen L, Li C, Wang Y. A high performance dual-mode biosensor based on Nd-MOF nanosheets functionalized with ionic liquid and gold nanoparticles for sensing of ctDNA. Talanta 2023; 258:124377. [PMID: 36863068 DOI: 10.1016/j.talanta.2023.124377] [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: 10/22/2022] [Revised: 12/14/2022] [Accepted: 02/14/2023] [Indexed: 02/19/2023]
Abstract
A dual-mode biosensor constructed based on photoelectrochemical (PEC) and electrochemical (EC) property was developed for assaying circulating tumor DNA (ctDNA), which is commonly used for triple-negative breast cancer diagnosis. Ionic liquid functionalized two-dimensional Nd-MOF nanosheets were successfully synthesized through a template-assisted reagent substituting reaction. Nd-MOF nanosheets integrated with gold nanoparticles (AuNPs) were able to improve photocurrent response and supply active sites for assembling sensing elements. To achieve selective detection of ctDNA, thiol-functionalized capture probes (CPs) were immobilized on the Nd-MOF@AuNPs modified glassy carbon electrode surface, thereby generating a "signal-off" photoelectrochemical biosensor for ctDNA under visible light irradiation. After the recognition of ctDNA, ferrocene-labeled signaling probes (Fc-SPs) were introduced into the biosensing interface. After hybridization between ctDNA and Fc-SPs, the oxidation peak current of Fc-SPs generated from square wave voltammetry can be employed as a "signal-on" electrochemical signal for ctDNA quantification. Under the optimized conditions, a linear relationship was obtained to the logarithm of ctDNA concentration in between 1.0 fmol L-1 to 10 nmol L-1 for the PEC model and 1.0 fmol L-1 to 1.0 nmol L-1 for the EC model. The dual-mode biosensor can provide accurate results for ctDNA assays, effectively eliminating the probable occurrence of false-positive or false-negative results in single-model assays. By switching DNA probe sequences, the proposed dual-mode biosensing platform can serve as a strategy for detecting other DNAs and possesses broad applications in bioassay and early disease diagnosis.
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Affiliation(s)
- Ruyan Zha
- Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education & Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission, School of Chemistry and Materials Science, South-Central Minzu University, Wuhan, 430074, China
| | - Ruoyu Wu
- Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education & Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission, School of Chemistry and Materials Science, South-Central Minzu University, Wuhan, 430074, China
| | - Yuange Zong
- Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education & Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission, School of Chemistry and Materials Science, South-Central Minzu University, Wuhan, 430074, China
| | - Zhengguo Wang
- Institute of Food Science and Engineering Technology, Hezhou University, Hezhou, Guangxi, 542899, China
| | - Tsunghsueh Wu
- Department of Chemistry, University of Wisconsin-Platteville, 1 University Plaza, Platteville, WI, 53818-3099, United States
| | - Yingying Zhong
- Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education & Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission, School of Chemistry and Materials Science, South-Central Minzu University, Wuhan, 430074, China
| | - Haiping Liang
- Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education & Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission, School of Chemistry and Materials Science, South-Central Minzu University, Wuhan, 430074, China
| | - Lifei Chen
- Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education & Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission, School of Chemistry and Materials Science, South-Central Minzu University, Wuhan, 430074, China
| | - Chunya Li
- Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education & Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission, School of Chemistry and Materials Science, South-Central Minzu University, Wuhan, 430074, China.
| | - Yanying Wang
- Key Laboratory of Catalysis and Energy Materials Chemistry of Ministry of Education & Key Laboratory of Analytical Chemistry of the State Ethnic Affairs Commission, School of Chemistry and Materials Science, South-Central Minzu University, Wuhan, 430074, China.
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Campani C, Zucman-Rossi J, Nault JC. Genetics of Hepatocellular Carcinoma: From Tumor to Circulating DNA. Cancers (Basel) 2023; 15:cancers15030817. [PMID: 36765775 PMCID: PMC9913369 DOI: 10.3390/cancers15030817] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/21/2023] [Accepted: 01/23/2023] [Indexed: 02/01/2023] Open
Abstract
Hepatocellular carcinoma (HCC) accounts for 90% of primary hepatic malignancies and is one of the major causes of cancer-related death. Over the last 15 years, the molecular landscape of HCC has been deciphered, with the identification of the main driver genes of liver carcinogenesis that belong to six major biological pathways, such as telomere maintenance, Wnt/b-catenin, P53/cell cycle regulation, oxidative stress, epigenetic modifiers, AKT/mTOR and MAP kinase. The combination of genetic and transcriptomic data composed various HCC subclasses strongly related to risk factors, pathological features and prognosis. However, translation into clinical practice is not achieved, mainly because the most frequently mutated genes are undruggable. Moreover, the results derived from the analysis of a single tissue sample may not adequately catch the intra- and intertumor heterogeneity. The analysis of circulating tumor DNA (ctDNA) is broadly developed in other types of cancer for early diagnosis, prognosis and monitoring under systemic treatment in order to identify primary and secondary mechanisms of resistance. The aim of this review is to describe recent data about the HCC molecular landscape and to discuss how ctDNA could be used in the future for HCC detection and management.
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Affiliation(s)
- Claudia Campani
- Centre de Recherche des Cordeliers, Sorbonne Université, Inserm, Université de Paris Cité, Team «Functional Genomics of Solid Tumors», 75006 Paris, France
- Equipe labellisée Ligue Nationale Contre le Cancer, Labex OncoImmunology, 75006 Paris, France
- Internal Medicine and Hepatology Unit, Department of Experimental and Clinical Medicine, University of Firenze, 50134 Firenze, Italy
| | - Jessica Zucman-Rossi
- Centre de Recherche des Cordeliers, Sorbonne Université, Inserm, Université de Paris Cité, Team «Functional Genomics of Solid Tumors», 75006 Paris, France
- Equipe labellisée Ligue Nationale Contre le Cancer, Labex OncoImmunology, 75006 Paris, France
- Hôpital Européen Georges Pompidou, APHP, 75015 Paris, France
| | - Jean-Charles Nault
- Centre de Recherche des Cordeliers, Sorbonne Université, Inserm, Université de Paris Cité, Team «Functional Genomics of Solid Tumors», 75006 Paris, France
- Equipe labellisée Ligue Nationale Contre le Cancer, Labex OncoImmunology, 75006 Paris, France
- Liver Unit, Hôpital Avicenne, Hôpitaux Universitaires Paris-Seine-Saint-Denis, Assistance-Publique Hôpitaux de Paris, 93000 Bobigny, France
- Unité de Formation et de Recherche Santé Médecine et Biologie Humaine, Université Paris Nord, 93000 Bobigny, France
- Correspondence: ; Tel.: +33-6-1067-9461
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20
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An Overview of Circulating Cell-Free Nucleic Acids in Diagnosis and Prognosis of Triple-Negative Breast Cancer. Int J Mol Sci 2023; 24:ijms24021799. [PMID: 36675313 PMCID: PMC9864244 DOI: 10.3390/ijms24021799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/13/2023] [Accepted: 01/14/2023] [Indexed: 01/19/2023] Open
Abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer due to its molecular heterogeneity and poor clinical outcomes. Analysis of circulating cell-free tumor nucleic acids (ctNAs) can improve our understanding of TNBC and provide efficient and non-invasive clinical biomarkers that may be representative of tumor heterogeneity. In this review, we summarize the potential of ctNAs to aid TNBC diagnosis and prognosis. For example, tumor fraction of circulating cell-free DNA (TFx) may be useful for molecular prognosis of TNBC: high TFx levels after neoadjuvant chemotherapy have been associated with shorter progression-free survival and relapse-free survival. Mutations and copy number variations of TP53 and PIK3CA/AKT genes in plasma may be important markers of TNBC onset, progression, metastasis, and for clinical follow-up. In contrast, the expression profile of circulating cell-free tumor non-coding RNAs (ctncRNAs) can be predictive of molecular subtypes of breast cancer and thus aid in the identification of TBNC. Finally, dysregulation of some circulating cell-free tumor miRNAs (miR17, miR19a, miR19b, miR25, miR93, miR105, miR199a) may have a predictive value for chemotherapy resistance. In conclusion, a growing number of efforts are highlighting the potential of ctNAs for future clinical applications in the diagnosis, prognosis, and follow-up of TNBC.
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21
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Liu T, Li M, Cheng W, Yao Q, Xue Y, Wang X, Jin H. A clinical prognostic model for patients with esophageal squamous cell carcinoma based on circulating tumor DNA mutation features. Front Oncol 2023; 12:1025284. [PMID: 36686833 PMCID: PMC9850098 DOI: 10.3389/fonc.2022.1025284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Accepted: 12/14/2022] [Indexed: 01/07/2023] Open
Abstract
Background Few predictive models have included circulating tumor DNA (ctDNA) indicators to predict prognosis of esophageal squamous cell carcinoma (ESCC) patients. Here, we aimed to explore whether ctDNA can be used as a predictive biomarker in nomogram models to predict the prognosis of patients with ESCC. Methods We included 57 patients who underwent surgery and completed a 5-year follow-up. With next-generation sequencing, a 61-gene panel was used to evaluate plasma cell-free DNA and white blood cell genomic DNA from patients with ESCC. We analyzed the relationship between the mutation features of ctDNA and the prognosis of patients with ESCC, identified candidate risk predictors by Cox analysis, and developed nomogram models to predict the 2- and 5-year disease-free survival (DFS) and overall survival (OS). The area under the curve of the receiver operating characteristic (ROC) curve, concordance index (C-index), calibration plot, and integrated discrimination improvement (IDI) were used to evaluate the performance of the nomogram model. The model was compared with the traditional tumor-nodes-metastasis (TNM) staging system. Results The ROC curve showed that the average mutant allele frequency (MAF) of ctDNA variants and the number of ctDNA variants were potential biomarkers for predicting the prognosis of patients with ESCC. The predictors included in the models were common candidate predictors of ESCC, such as lymph node stage, angiolymphatic invasion, drinking history, and ctDNA characteristics. The calibration curve demonstrated consistency between the observed and predicted results. Moreover, our nomogram models showed clear prognostic superiority over the traditional TNM staging system (based on C-index, 2-year DFS: 0.82 vs. 0.64; 5-year DFS: 0.78 vs. 0.65; 2-year OS: 0.80 vs. 0.66; 5-year OS: 0.77 vs. 0.66; based on IDI, 2-year DFS: 0.33, p <0.001; 5-year DFS: 0.18, p = 0.04; 2-year OS: 0.28, p <0.001; 5-year OS: 0.15, p = 0.04). The comprehensive scores of the nomogram models could be used to stratify patients with ESCC. Conclusions The novel nomogram incorporating ctDNA features may help predict the prognosis of patients with resectable ESCC. This model can potentially be used to guide the postoperative management of ESCC patients in the future, such as adjuvant therapy and follow-up.
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Affiliation(s)
- Tao Liu
- Department of Thoracic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Mengxing Li
- Department of Thoracic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Wen Cheng
- Department of Thoracic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Qianqian Yao
- Department of Medical Science, Shanghai AccuraGen Biotechnology Co., Ltd., Shanghai, China
| | - Yibo Xue
- Department of Thoracic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China
| | - Xiaowei Wang
- Department of Thoracic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China,*Correspondence: Hai Jin, ; Xiaowei Wang,
| | - Hai Jin
- Department of Thoracic Surgery, Changhai Hospital, Second Military Medical University, Shanghai, China,*Correspondence: Hai Jin, ; Xiaowei Wang,
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22
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Eyck BM, Jansen MP, Noordman BJ, Atmodimedjo PN, van der Wilk BJ, Martens JW, Helmijr JA, Beaufort CM, Mostert B, Doukas M, Wijnhoven BP, Lagarde SM, van Lanschot JJB, Dinjens WN. Detection of circulating tumour DNA after neoadjuvant chemoradiotherapy in patients with locally advanced oesophageal cancer. J Pathol 2023; 259:35-45. [PMID: 36196486 PMCID: PMC10092085 DOI: 10.1002/path.6016] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 09/05/2022] [Accepted: 09/30/2022] [Indexed: 11/05/2022]
Abstract
Active surveillance instead of standard surgery after neoadjuvant chemoradiotherapy (nCRT) has been proposed for patients with oesophageal cancer. Circulating tumour DNA (ctDNA) may be used to facilitate selection of patients for surgery. We show that detection of ctDNA after nCRT seems highly suggestive of major residual disease. Tumour biopsies and blood samples were taken before, and 6 and 12 weeks after, nCRT. Biopsies were analysed with regular targeted next-generation sequencing (NGS). Circulating cell-free DNA (cfDNA) was analysed using targeted NGS with unique molecular identifiers and digital polymerase chain reaction. cfDNA mutations matching pre-treatment biopsy mutations confirmed the presence of ctDNA. In total, 31 patients were included, of whom 24 had a biopsy mutation that was potentially detectable in cfDNA (77%). Pre-treatment ctDNA was detected in nine of 24 patients (38%), four of whom had incurable disease progression before surgery. Pre-treatment ctDNA detection had a sensitivity of 47% (95% CI 24-71) (8/17), specificity of 85% (95% CI 42-99) (6/7), positive predictive value (PPV) of 89% (95% CI 51-99) (8/9), and negative predictive value (NPV) of 40% (95% CI 17-67) (6/15) for detecting major residual disease (>10% residue in the resection specimen or progression before surgery). After nCRT, ctDNA was detected in three patients, two of whom had disease progression. Post-nCRT ctDNA detection had a sensitivity of 21% (95% CI 6-51) (3/14), specificity of 100% (95% CI 56-100) (7/7), PPV of 100% (95% CI 31-100) (3/3), and NPV of 39% (95% CI 18-64) (7/18) for detecting major residual disease. The addition of ctDNA to the current set of diagnostics did not lead to more patients being clinically identified with residual disease. These results indicate that pre-treatment and post-nCRT ctDNA detection may be useful in identifying patients at high risk of disease progression. The addition of ctDNA analysis to the current set of diagnostic modalities may not improve detection of residual disease after nCRT. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Ben M Eyck
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Maurice Phm Jansen
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Bo Jan Noordman
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Peggy N Atmodimedjo
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Berend J van der Wilk
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - John Wm Martens
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Jean A Helmijr
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Corine M Beaufort
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Bianca Mostert
- Department of Medical Oncology, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Michail Doukas
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Bas Pl Wijnhoven
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Sjoerd M Lagarde
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - J Jan B van Lanschot
- Department of Surgery, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Winand Nm Dinjens
- Department of Pathology, Erasmus MC Cancer Institute, University Medical Centre Rotterdam, Rotterdam, The Netherlands
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23
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Gianni C, Palleschi M, Merloni F, Bleve S, Casadei C, Sirico M, Di Menna G, Sarti S, Cecconetto L, Mariotti M, De Giorgi U. Potential Impact of Preoperative Circulating Biomarkers on Individual Escalating/de-Escalating Strategies in Early Breast Cancer. Cancers (Basel) 2022; 15:96. [PMID: 36612091 PMCID: PMC9817806 DOI: 10.3390/cancers15010096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/18/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
The research on non-invasive circulating biomarkers to guide clinical decision is in wide expansion, including the earliest disease settings. Several new intensification/de-intensification strategies are approaching clinical practice, personalizing the treatment for each patient. Moreover, liquid biopsy is revealing its potential with multiple techniques and studies available on circulating biomarkers in the preoperative phase. Inflammatory circulating cells, circulating tumor cells (CTCs), cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), and other biological biomarkers are improving the armamentarium for treatment selection. Defining the escalation and de-escalation of treatments is a mainstay of personalized medicine in early breast cancer. In this review, we delineate the studies investigating the possible application of these non-invasive tools to give a more enlightened approach to escalating/de-escalating strategies in early breast cancer.
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Affiliation(s)
- Caterina Gianni
- Department of Medical Oncology, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, 47014 Meldola, Italy
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24
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Gezer U, Bronkhorst AJ, Holdenrieder S. The Clinical Utility of Droplet Digital PCR for Profiling Circulating Tumor DNA in Breast Cancer Patients. Diagnostics (Basel) 2022; 12:diagnostics12123042. [PMID: 36553049 PMCID: PMC9776872 DOI: 10.3390/diagnostics12123042] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 12/07/2022] Open
Abstract
Breast cancer is the most common cancer affecting women worldwide. It is a malignant and heterogeneous disease with distinct molecular subtypes, which has prognostic and predictive implications. Circulating tumor DNA (ctDNA), cell-free fragmented tumor-derived DNA in blood plasma, is an invaluable source of specific cancer-associated mutations and holds great promise for the development of minimally invasive diagnostic tests. Furthermore, serial monitoring of ctDNA over the course of systemic and targeted therapies not only allows unparalleled efficacy assessments but also enables the identification of patients who are at risk of progression or recurrence. Droplet digital PCR (ddPCR) is a powerful technique for the detection and monitoring of ctDNA. Due to its relatively high accuracy, sensitivity, reproducibility, and capacity for absolute quantification, it is increasingly used as a tool for managing cancer patients through liquid biopsies. In this review paper, we gauge the clinical utility of ddPCR as a technique for mutational profiling in breast cancer patients and focus on HER2, PIK3CA, ESR1, and TP53, which represent the most frequently mutated genes in breast cancers.
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Affiliation(s)
- Ugur Gezer
- Institute of Oncology, Department of Basic Oncology, Istanbul University, Istanbul 34093, Turkey
| | - Abel J. Bronkhorst
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Munich Technical University Munich, 80636 München, Germany
| | - Stefan Holdenrieder
- Munich Biomarker Research Center, Institute of Laboratory Medicine, German Heart Center Munich Technical University Munich, 80636 München, Germany
- Correspondence:
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25
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Krebs MG, Malapelle U, André F, Paz-Ares L, Schuler M, Thomas DM, Vainer G, Yoshino T, Rolfo C. Practical Considerations for the Use of Circulating Tumor DNA in the Treatment of Patients With Cancer: A Narrative Review. JAMA Oncol 2022; 8:1830-1839. [PMID: 36264554 DOI: 10.1001/jamaoncol.2022.4457] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Importance Personalized medicine based on tumor profiling and identification of actionable genomic alterations is pivotal in cancer management. Although tissue biopsy is still preferred for diagnosis, liquid biopsy of blood-based tumor analytes, such as circulating tumor DNA, is a rapidly emerging technology for tumor profiling. Observations This review presents a practical overview for clinicians and allied health care professionals for selection of the most appropriate liquid biopsy assay, specifically focusing on circulating tumor DNA and how it may affect patient treatment and case management across multiple tumor types. Multiple factors influence the analytical validity, clinical validity, and clinical utility of testing. This review provides recommendations and practical guidance for best practice. Current methodologies include polymerase chain reaction-based approaches and those that use next-generation sequencing (eg, capture-based profiling, whole exome, or genome sequencing). Factors that may influence utility include sensitivity and specificity, quantity of circulating tumor DNA, detection of a small vs a large panel of genes, and clonal hematopoiesis of indeterminate potential. Currently, liquid biopsy appears useful in patients unable to undergo biopsy or where mutations detected may be more representative of the predominant tumor burden than for tissue-based assays. Other potential applications may include screening, primary diagnosis, residual disease, local recurrence, therapy selection, or early therapy response and resistance monitoring. Conclusions and Relevance This review found that liquid biopsy is increasingly being used clinically in advanced lung cancer, and ongoing research is identifying applications of circulating tumor DNA-based testing that complement tissue analysis across a broad range of clinical settings. Circulating tumor DNA technologies are advancing quickly and are demonstrating potential benefits for patients, health care practitioners, health care systems, and researchers, at many stages of the patient oncologic journey.
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Affiliation(s)
- Matthew G Krebs
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, The University of Manchester and The Christie NHS Foundation Trust, Manchester, UK
| | - Umberto Malapelle
- Department of Public Health, University Federico II of Naples, Naples, Italy
| | | | | | - Martin Schuler
- West German Cancer Center, Department of Medical Oncology, University Hospital Essen, Essen, Germany
| | - David M Thomas
- Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
| | | | | | - Christian Rolfo
- Center for Thoracic Oncology, The Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York
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Slonim LB, Mangold KA, Alikhan MB, Joseph N, Reddy KS, Sabatini LM, Kaul KL. Cell-free Nucleic Acids in Cancer: Current Approaches, Challenges, and Future Directions. Clin Lab Med 2022; 42:669-686. [PMID: 36368789 DOI: 10.1016/j.cll.2022.09.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Liron Barnea Slonim
- Department of Pathology and Laboratory Medicine, NorthShore University HealthSystem, 2650 Ridge Avenue, Evanston, IL 60201
| | - Kathy A Mangold
- Department of Pathology and Laboratory Medicine, NorthShore University HealthSystem, 2650 Ridge Avenue, Evanston, IL 60201
| | - Mir B Alikhan
- Department of Pathology and Laboratory Medicine, NorthShore University HealthSystem, 2650 Ridge Avenue, Evanston, IL 60201
| | - Nora Joseph
- Department of Pathology and Laboratory Medicine, NorthShore University HealthSystem, 2650 Ridge Avenue, Evanston, IL 60201
| | - Kalpana S Reddy
- Department of Pathology and Laboratory Medicine, NorthShore University HealthSystem, 2650 Ridge Avenue, Evanston, IL 60201
| | - Linda M Sabatini
- Department of Pathology and Laboratory Medicine, NorthShore University HealthSystem, 2650 Ridge Avenue, Evanston, IL 60201
| | - Karen L Kaul
- Department of Pathology and Laboratory Medicine, NorthShore University HealthSystem, 2650 Ridge Avenue, Evanston, IL 60201.
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Liquid Biopsy Analysis as a Tool for TKI-Based Treatment in Non-Small Cell Lung Cancer. Cells 2022; 11:cells11182871. [PMID: 36139444 PMCID: PMC9497234 DOI: 10.3390/cells11182871] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/07/2022] [Accepted: 09/09/2022] [Indexed: 12/03/2022] Open
Abstract
The treatment of non-small cell lung cancer (NSCLC) has recently evolved with the introduction of targeted therapy based on the use of tyrosine kinase inhibitors (TKIs) in patients with certain gene alterations, including EGFR, ALK, ROS1, BRAF, and MET genes. Molecular targeted therapy based on TKIs has improved clinical outcomes in a large number of NSCLC patients with advanced disease, enabling significantly longer progression-free survival (PFS). Liquid biopsy is an increasingly popular diagnostic tool for treating TKI-based NSCLC. The studies presented in this article show that detection and analysis based on liquid biopsy elements such as circulating tumor cells (CTCs), cell-free DNA (cfDNA), exosomes, and/or tumor-educated platelets (TEPs) can contribute to the appropriate selection and monitoring of targeted therapy in NSCLC patients as complementary to invasive tissue biopsy. The detection of these elements, combined with their molecular analysis (using, e.g., digital PCR (dPCR), next generation sequencing (NGS), shallow whole genome sequencing (sWGS)), enables the detection of mutations, which are required for the TKI treatment. Despite such promising results obtained by many research teams, it is still necessary to carry out prospective studies on a larger group of patients in order to validate these methods before their application in clinical practice.
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28
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Herzog H, Dogan S, Aktas B, Nel I. Targeted Sequencing of Plasma-Derived vs. Urinary cfDNA from Patients with Triple-Negative Breast Cancer. Cancers (Basel) 2022; 14:4101. [PMID: 36077638 PMCID: PMC9454533 DOI: 10.3390/cancers14174101] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 08/19/2022] [Accepted: 08/22/2022] [Indexed: 11/16/2022] Open
Abstract
In breast cancer, the genetic profiling of circulating cell-free DNA (cfDNA) from blood plasma was shown to have good potential for clinical use. In contrast, only a few studies were performed investigating urinary cfDNA. In this pilot study, we analyzed plasma-derived and matching urinary cfDNA samples obtained from 15 presurgical triple-negative breast cancer patients. We used a targeted next-generation sequencing approach to identify and compare genetic alterations in both body fluids. The cfDNA concentration was higher in urine compared to plasma, but there was no significant correlation between matched samples. Bioinformatical analysis revealed a total of 3339 somatic breast-cancer-related variants (VAF ≥ 3%), whereof 1222 vs. 2117 variants were found in plasma-derived vs. urinary cfDNA, respectively. Further, 431 shared variants were found in both body fluids. Throughout the cohort, the recovery rate of plasma-derived mutations in matching urinary cfDNA was 47% and even 63% for pathogenic variants only. The most frequently occurring pathogenic and likely pathogenic mutated genes were NF1, CHEK2, KMT2C and PTEN in both body fluids. Notably, a pathogenic CHEK2 (T519M) variant was found in all 30 samples. Taken together, our results indicated that body fluids appear to be valuable sources bearing complementary information regarding the genetic tumor profile.
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Affiliation(s)
- Henrike Herzog
- Department of Gynecology, Medical Center, University of Leipzig, 04103 Leipzig, Germany
| | - Senol Dogan
- Soft Matter Physics Division, Peter-Debye-Institute, University of Leipzig, 04103 Leipzig, Germany
| | - Bahriye Aktas
- Department of Gynecology, Medical Center, University of Leipzig, 04103 Leipzig, Germany
| | - Ivonne Nel
- Department of Gynecology, Medical Center, University of Leipzig, 04103 Leipzig, Germany
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Pinilla K, Drewett LM, Lucey R, Abraham JE. Precision Breast Cancer Medicine: Early Stage Triple Negative Breast Cancer-A Review of Molecular Characterisation, Therapeutic Targets and Future Trends. Front Oncol 2022; 12:866889. [PMID: 36003779 PMCID: PMC9393396 DOI: 10.3389/fonc.2022.866889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 05/23/2022] [Indexed: 11/29/2022] Open
Abstract
Personalised approaches to the management of all solid tumours are increasing rapidly, along with wider accessibility for clinicians. Advances in tumour characterisation and targeted therapies have placed triple-negative breast cancers (TNBC) at the forefront of this approach. TNBC is a highly heterogeneous disease with various histopathological features and is driven by distinct molecular alterations. The ability to tailor individualised and effective treatments for each patient is of particular importance in this group due to the high risk of distant recurrence and death. The mainstay of treatment across all subtypes of TNBC has historically been cytotoxic chemotherapy, which is often associated with off-target tissue toxicity and drug resistance. Neoadjuvant chemotherapy is commonly used as it allows close monitoring of early treatment response and provides valuable prognostic information. Patients who achieve a complete pathological response after neoadjuvant chemotherapy are known to have significantly improved long-term outcomes. Conversely, poor responders face a higher risk of relapse and death. The identification of those subgroups that are more likely to benefit from breakthroughs in the personalised approach is a challenge of the current era where several targeted therapies are available. This review presents an overview of contemporary practice, and promising future trends in the management of early TNBC. Platinum chemotherapy, DNA damage response (DDR) inhibitors, immune checkpoint inhibitors, inhibitors of the PI3K-AKT-mTOR, and androgen receptor (AR) pathways are some of the increasingly studied therapies which will be reviewed. We will also discuss the growing evidence for less-developed agents and predictive biomarkers that are likely to contribute to the forthcoming advances in this field. Finally, we will propose a framework for the personalised management of TNBC based upon the integration of clinico-pathological and molecular features to ensure that long-term outcomes are optimised.
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Affiliation(s)
- Karen Pinilla
- Precision Breast Cancer Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Lynsey M. Drewett
- Precision Breast Cancer Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Rebecca Lucey
- Precision Breast Cancer Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
| | - Jean E. Abraham
- Precision Breast Cancer Institute, University of Cambridge, Cambridge, United Kingdom
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom
- Cancer Research UK Cambridge Centre, Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
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30
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Gögenur M, Hadi NAH, Qvortrup C, Andersen CL, Gögenur I. ctDNA for Risk of Recurrence Assessment in Patients Treated with Neoadjuvant Treatment: A Systematic Review and Meta-analysis. Ann Surg Oncol 2022; 29:8666-8674. [PMID: 35933546 DOI: 10.1245/s10434-022-12366-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 07/18/2022] [Indexed: 12/12/2022]
Abstract
BACKGROUND We wanted to investigate the association between circulating tumor DNA (ctDNA) detection at baseline, during and after neoadjuvant treatment, after surgery, and recurrence, in patients with nonmetastatic cancer. PATIENTS AND METHODS In this systematic review and meta-analysis, we included studies that investigated patients undergoing neoadjuvant treatment for nonmetastatic cancer and provided recurrence indices stratified for ctDNA status at the following timepoints: baseline, during treatment, posttreatment, and postsurgery. Study quality was reported with the Newcastle-Ottawa scale, REMARK checklist, and GRADE approach. PubMed, Embase, Cochrane Library, and Web of Science were our data sources (inception to 3 June 2021). The main outcome was risk of recurrence. RESULTS We identified ten studies including 727 patients with rectal, breast, gastric, and bladder cancer. All studies reported posttreatment ctDNA analysis, while seven, four, and six reported baseline, during treatment, and postsurgery ctDNA analysis, respectively. ctDNA detection was associated to recurrence across all timepoints [baseline: risk ratio (RR) 2.86, 95% confidence interval (CI) 1.33-6.14, during treatment: RR 3.81, 95% CI 2.09-6.92, posttreatment: RR 4.29, 95% CI 2.79-6.60, postsurgery: RR 8.03, 95% CI 3.16-20.43]. Heterogeneity was low to moderate. CONCLUSIONS This meta-analysis of observational studies found that ctDNA detection in patients undergoing neoadjuvant treatment for nonmetastatic cancer was associated with recurrence. A stronger association was evident in posttreatment and postsurgery timepoints. However, some studies reported low negative predictive value (NPV) of pathological complete response, showing that ctDNA-detection-guided escalation and de-escalation studies following neoadjuvant treatment regimens are needed before its role as a treatment guidance can be affirmed.
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Affiliation(s)
- Mikail Gögenur
- Center for Surgical Science, Zealand University Hospital Køge, Køge, Denmark.
| | - Noor Al-Huda Hadi
- Center for Surgical Science, Zealand University Hospital Køge, Køge, Denmark
| | - Camilla Qvortrup
- Department of Oncology, Rigshospitalet, Copenhagen, Denmark.,Danish Colorectal Cancer Group, Copenhagen, Denmark
| | - Claus Lindbjerg Andersen
- Danish Colorectal Cancer Group, Copenhagen, Denmark.,Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Ismail Gögenur
- Center for Surgical Science, Zealand University Hospital Køge, Køge, Denmark.,Danish Colorectal Cancer Group, Copenhagen, Denmark
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31
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Wu HJ, Chu PY. Current and Developing Liquid Biopsy Techniques for Breast Cancer. Cancers (Basel) 2022; 14:2052. [PMID: 35565189 PMCID: PMC9105073 DOI: 10.3390/cancers14092052] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 04/13/2022] [Accepted: 04/15/2022] [Indexed: 12/12/2022] Open
Abstract
Breast cancer is the most commonly diagnosed cancer and leading cause of cancer mortality among woman worldwide. The techniques of diagnosis, prognosis, and therapy monitoring of breast cancer are critical. Current diagnostic techniques are mammography and tissue biopsy; however, they have limitations. With the development of novel techniques, such as personalized medicine and genetic profiling, liquid biopsy is emerging as the less invasive tool for diagnosing and monitoring breast cancer. Liquid biopsy is performed by sampling biofluids and extracting tumor components, such as circulating tumor cells (CTCs), circulating tumor DNA (ctDNA), cell-free mRNA (cfRNA) and microRNA (miRNA), proteins, and extracellular vehicles (EVs). In this review, we summarize and focus on the recent discoveries of tumor components and biomarkers applied in liquid biopsy and novel development of detection techniques, such as surface-enhanced Raman spectroscopy (SERS) and microfluidic devices.
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Affiliation(s)
- Hsing-Ju Wu
- Research Assistant Center, Show Chwan Memorial Hospital, Changhua 500, Taiwan;
- Department of Medical Research, Chang Bing Show Chwan Memorial Hospital, Lukang Town, Changhua 505, Taiwan
- Department of Biology, National Changhua University of Education, Changhua 500, Taiwan
| | - Pei-Yi Chu
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung 402, Taiwan
- Department of Pathology, Show Chwan Memorial Hospital, Changhua 500, Taiwan
- School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei City 242, Taiwan
- Department of Health Food, Chung Chou University of Science and Technology, Changhua 510, Taiwan
- National Institute of Cancer Research, National Health Research Institutes, Tainan 704, Taiwan
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32
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Chedid J, Allam S, Chamseddine N, Bou Zerdan M, El Nakib C, Assi HI. Role of circulating tumor DNA and circulating tumor cells in breast cancer: History and updates. SAGE Open Med 2022; 10:20503121221077838. [PMID: 35223029 PMCID: PMC8874178 DOI: 10.1177/20503121221077838] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 01/17/2022] [Indexed: 11/15/2022] Open
Abstract
Circulating tumor DNA, cell-free DNA, and circulating tumor cells have been at the epitome of recent research in breast cancer. These forms of liquid biopsies have been used in monitoring disease progression, estimating the risk of relapse, and response to treatment. Much has been done in relation to serial monitoring of circulating tumor DNA in patients with primary breast cancer for detection of occult metastatic disease. Some studies have also explored their use in monitoring treatment response. As the field of liquid biopsies expands, more prospective studies are needed to tailor management in an individualistic approach. In this literature review, the authors explore the multiple uses of circulating tumor DNA and circulating tumor cells in breast cancer.
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Affiliation(s)
- Julien Chedid
- Department of Obstetrics and Gynecology, Saint George Hospital University Medical Center, Beirut, Lebanon
| | - Sabine Allam
- Faculty of Medicine, University of Balamand, Beirut, Lebanon
| | - Nathalie Chamseddine
- Department of Obstetrics and Gynecology, Saint George Hospital University Medical Center, Beirut, Lebanon
| | - Maroun Bou Zerdan
- Division of Hematology and Oncology, Department of Internal Medicine, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Clara El Nakib
- Division of Hematology and Oncology, Department of Internal Medicine, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
| | - Hazem I Assi
- Division of Hematology and Oncology, Department of Internal Medicine, Naef K. Basile Cancer Institute, American University of Beirut Medical Center, Beirut, Lebanon
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33
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Elliott MJ, Cescon DW. Development of novel agents for the treatment of early estrogen receptor positive breast cancer. Breast 2022; 62 Suppl 1:S34-S42. [PMID: 34903444 PMCID: PMC9097798 DOI: 10.1016/j.breast.2021.11.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Revised: 10/31/2021] [Accepted: 11/09/2021] [Indexed: 11/25/2022] Open
Abstract
Estrogen receptor (ER+) breast cancer is the most frequently diagnosed breast cancer subtype. Currently, adjuvant treatment for early stage disease consists of endocrine therapy, with or without chemotherapy and bone-targeted therapy, delivered in a risk-adapted manner. Despite this multimodal approach, a significant proportion of high risk patients will develop incurable distant recurrences. There is an ongoing need to develop new treatment strategies that address the biologic causes of treatment failure and to identify the individual patients who can benefit from such interventions. Here we review the clinical investigation of targeted and novel therapies, including inhibitors of the PI3K-AKT-mTOR pathway, oral selective estrogen receptor degraders (SERDs), and PARP-inhibitors for the treatment of early ER+ breast cancer. Furthermore, we highlight opportunities in biomarker development to help guide the delivery of escalated adjuvant strategies.
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Affiliation(s)
- Mitchell J Elliott
- Division of Medical Oncology & Hematology, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada
| | - David W Cescon
- Division of Medical Oncology & Hematology, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, Ontario, Canada.
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34
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Papakonstantinou A, Saoudi Gonzalez N, Pimentel I, Suñol A, Zamora E, Ortiz C, Espinosa-Bravo M, Peg V, Vivancos A, Saura C, Villacampa G, Oliveira M. Prognostic value of ctDNA detection in patients with early breast cancer undergoing neoadjuvant therapy: a systematic review and meta-analysis. Cancer Treat Rev 2022; 104:102362. [DOI: 10.1016/j.ctrv.2022.102362] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 02/14/2022] [Accepted: 02/15/2022] [Indexed: 11/29/2022]
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35
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Plasma extracellular vesicle long RNA profiles in the diagnosis and prediction of treatment response for breast cancer. NPJ Breast Cancer 2021; 7:154. [PMID: 34893642 PMCID: PMC8664804 DOI: 10.1038/s41523-021-00356-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 11/03/2021] [Indexed: 12/11/2022] Open
Abstract
A large number RNAs are enriched and stable in extracellular vesicles (EVs), and they can reflect their tissue origins and are suitable as liquid biopsy markers for cancer diagnosis and treatment efficacy prediction. In this study, we used extracellular vesicle long RNA (exLR) sequencing to characterize the plasma-derived exLRs from 112 breast cancer patients, 19 benign patients and 41 healthy participants. The different exLRs profiling was found between the breast cancer and non-cancer groups. Thus, we constructed a breast cancer diagnostic signature which showed high accuracy with an area under the curve (AUC) of 0.960 in the training cohort and 0.900 in the validation cohort. The signature was able to identify early stage BC (I/II) with an AUC of 0.940. Integrating the signature with breast imaging could increase the diagnosis accuracy for breast cancer patients. Moreover, we enrolled 58 patients who received neoadjuvant treatment and identified an exLR (exMSMO1), which could distinguish pathological complete response (pCR) patients from non-pCR with an AUC of 0.790. Silencing MSMO1 could significantly enhance the sensitivity of MDA-MB-231 cells to paclitaxel and doxorubicin through modulating mTORC1 signaling pathway. This study demonstrated the value of exLR profiling to provide potential biomarkers for early detection and treatment efficacy prediction of breast cancer.
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36
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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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37
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Olmedillas-López S, Olivera-Salazar R, García-Arranz M, García-Olmo D. Current and Emerging Applications of Droplet Digital PCR in Oncology: An Updated Review. Mol Diagn Ther 2021; 26:61-87. [PMID: 34773243 DOI: 10.1007/s40291-021-00562-2] [Citation(s) in RCA: 40] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2021] [Indexed: 12/14/2022]
Abstract
In the era of personalized medicine and targeted therapies for the management of patients with cancer, ultrasensitive detection methods for tumor genotyping, such as next-generation sequencing or droplet digital polymerase chain reaction (ddPCR), play a significant role. In the search for less invasive strategies for diagnosis, prognosis and disease monitoring, the number of publications regarding liquid biopsy approaches using ddPCR has increased substantially in recent years. There is a long list of malignancies in which ddPCR provides a reliable and accurate tool for detection of nucleic acid-based markers derived from cell-free DNA, cell-free RNA, circulating tumor cells, extracellular vesicles or exosomes when isolated from whole blood, plasma and serum, helping to anticipate tumor relapse or unveil intratumor heterogeneity and clonal evolution in response to treatment. This updated review describes recent developments in ddPCR platforms and provides a general overview about the major applications of liquid biopsy in blood, including its utility for molecular response and minimal residual disease monitoring in hematological malignancies or the therapeutic management of patients with colorectal or lung cancer, particularly for the selection and monitoring of treatment with tyrosine kinase inhibitors. Although plasma is the main source of genetic material for tumor genomic profiling, liquid biopsy by ddPCR is being investigated in a wide variety of biologic fluids, such as cerebrospinal fluid, urine, stool, ocular fluids, sputum, saliva, bronchoalveolar lavage, pleural effusion, mucin, peritoneal fluid, fine needle aspirate, bile or pancreatic juice. The present review focuses on these "alternative" sources of genetic material and their analysis by ddPCR in different kinds of cancers.
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Affiliation(s)
- Susana Olmedillas-López
- New Therapies Laboratory, Health Research Institute-Fundación Jiménez Díaz University Hospital (IIS-FJD), Avda. Reyes Católicos, 2, 28040, Madrid, Spain.
| | - Rocío Olivera-Salazar
- New Therapies Laboratory, Health Research Institute-Fundación Jiménez Díaz University Hospital (IIS-FJD), Avda. Reyes Católicos, 2, 28040, Madrid, Spain
| | - Mariano García-Arranz
- New Therapies Laboratory, Health Research Institute-Fundación Jiménez Díaz University Hospital (IIS-FJD), Avda. Reyes Católicos, 2, 28040, Madrid, Spain.,Department of Surgery, School of Medicine, Universidad Autónoma de Madrid (UAM), 28029, Madrid, Spain
| | - Damián García-Olmo
- New Therapies Laboratory, Health Research Institute-Fundación Jiménez Díaz University Hospital (IIS-FJD), Avda. Reyes Católicos, 2, 28040, Madrid, Spain.,Department of Surgery, School of Medicine, Universidad Autónoma de Madrid (UAM), 28029, Madrid, Spain.,Department of Surgery, Fundación Jiménez Díaz University Hospital (FJD), 28040, Madrid, Spain
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38
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Seale KN, Tkaczuk KHR. Circulating Biomarkers in Breast Cancer. Clin Breast Cancer 2021; 22:e319-e331. [PMID: 34756687 DOI: 10.1016/j.clbc.2021.09.006] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 08/22/2021] [Accepted: 09/19/2021] [Indexed: 12/11/2022]
Abstract
Breast cancer management has progressed immensely over the decades, but the disease is still a major source of morbidity and mortality worldwide. Even with enhanced imaging detection and tissue biopsy capabilities, disease can progress on an ineffective treatment before additional information is obtained through standard methods of response evaluation, including the RECIST 1.1 criteria, widely used for assessment of treatment response and benefit from therapy.6 Circulating biomarkers have the potential to provide valuable insight into disease progression and response to therapy, and they can serve to identify actionable mutations and tumor characteristics that can direct therapy. These biomarkers can be collected at higher frequencies than imaging or tissue sampling, potentially allowing for more informed management. This review will evaluate the roles of circulating biomarkers in breast cancer, including the serum markers Carcinoembryonic antigen CA15-3, CA27-29, HER2 ECD, and investigatory markers such as GP88; and the components of the liquid biopsy, including circulating tumor cells, cell free DNA/DNA methylation, circulating tumor DNA, and circulating microRNA.
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Affiliation(s)
- Katelyn N Seale
- University of Maryland, School of Medicine, Marlene and Stewart Greenebaum Comprehensive Cancer Center, 22 South Greene Street, S9D12, Baltimore, MD 21201
| | - Katherine H R Tkaczuk
- University of Maryland, School of Medicine, Marlene and Stewart Greenebaum Comprehensive Cancer Center, 22 South Greene Street, S9D12, Baltimore, MD 21201.
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39
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Davidson BA, Croessmann S, Park BH. The breast is yet to come: current and future utility of circulating tumour DNA in breast cancer. Br J Cancer 2021; 125:780-788. [PMID: 34040179 PMCID: PMC8438047 DOI: 10.1038/s41416-021-01422-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2020] [Revised: 04/02/2021] [Accepted: 04/21/2021] [Indexed: 02/06/2023] Open
Abstract
Advances in genomic strategies and the development of targeted therapies have enabled precision medicine to revolutionise the field of oncology. Precision medicine uses patient-specific genetic and molecular information, traditionally obtained from tumour biopsy samples, to classify tumours and treat them accordingly. However, biopsy samples often fail to provide complete tumour profiling, and the technique is expensive and, of course, relatively invasive. Advances in genomic techniques have led to improvements in the isolation and detection of circulating tumour DNA (ctDNA), a component of a peripheral blood draw/liquid biopsy. Liquid biopsy offers a minimally invasive method to gather genetic information that is representative of a global snapshot of both primary and metastatic sites and can thereby provide invaluable information for potential targeted therapies and methods for tumour surveillance. However, a lack of prospective clinical trials showing direct patient benefit has limited the implementation of liquid biopsies in standard clinical applications. Here, we review the potential of ctDNA obtained by liquid biopsy to revolutionise personalised medicine and discuss current applications of ctDNA both at the benchtop and bedside.
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Affiliation(s)
- Brad A. Davidson
- grid.412807.80000 0004 1936 9916The Vanderbilt-Ingram Cancer Center, Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
| | - Sarah Croessmann
- grid.412807.80000 0004 1936 9916The Vanderbilt-Ingram Cancer Center, Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
| | - Ben H. Park
- grid.412807.80000 0004 1936 9916The Vanderbilt-Ingram Cancer Center, Division of Hematology/Oncology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN USA
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40
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Kim H, Kim YJ, Park D, Park WY, Choi DH, Park W, Cho WK, Kim N. Dynamics of circulating tumor DNA during postoperative radiotherapy in patients with residual triple-negative breast cancer following neoadjuvant chemotherapy: a prospective observational study. Breast Cancer Res Treat 2021; 189:167-175. [PMID: 34152505 DOI: 10.1007/s10549-021-06296-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Accepted: 06/12/2021] [Indexed: 01/13/2023]
Abstract
BACKGROUND This study was performed to evaluate circulating tumor DNA (ctDNA) kinetics during postoperative radiotherapy (PORT) in patients with residual triple-negative breast cancer (TNBC) at surgery following neoadjuvant chemotherapy (NAC). METHODS Stage II/III patients with post-NAC residual TNBC who required PORT were prospectively included in this study between March 2019 and July 2020. For 11 TNBC patients, next-generation sequencing targeting 38 genes was conducted in 55 samples, including tumor tissue, three plasma samples, and leukocytes from each patient. The plasma samples were collected at three-time points; pre-PORT (T0), after 3 weeks of PORT (T1), and 1 month after PORT (T2). Serial changes in ctDNA variant allele frequency (VAF) were analyzed. RESULTS Somatic variants were found in the tumor specimens in 9 out of 11 (81.8%) patients. Mutated genes included TP53 (n = 7); PIK3CA (n = 2); and AKT1, APC, CSMD3, MYC, PTEN, and RB1 (n = 1). These tumor mutations were not found in plasma samples. Plasma ctDNA variants were detected in three (27.3%) patients at T0. Mutations in EGFR (n = 1), CTNNB1 (n = 1), and MAP2K (n = 1) was identified with ctDNA analysis. In two (18.2%) patients, the ctDNA VAF decreased through T1 and T2 while increasing at T2 in one (9.1%) patient. After a median follow-up of 22 months, no patient showed cancer recurrence. CONCLUSION Among patients with post-NAC residual TNBC, more than a quarter exhibited a detectable amount of ctDNA after curative surgery. The ctDNA VAF changed variably during the course of PORT. Therefore, ctDNA kinetics can serve as a biomarker for optimizing adjuvant treatment.
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Affiliation(s)
- Haeyoung Kim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul, 06351, Republic of Korea.
| | - Yeon Jeong Kim
- Samsung Genome Institute, Samsung Medical Center, Seoul, South Korea
| | - Donghyun Park
- Samsung Genome Institute, Samsung Medical Center, Seoul, South Korea.,GENINUS Inc, Seoul, South Korea
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Seoul, South Korea.,Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon, South Korea
| | - Doo Ho Choi
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Won Park
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Won Kyung Cho
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul, 06351, Republic of Korea
| | - Nalee Kim
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-Ro, Gangnam-gu, Seoul, 06351, Republic of Korea
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Clinical application of circulating tumor DNA in breast cancer. J Cancer Res Clin Oncol 2021; 147:1431-1442. [PMID: 33760943 DOI: 10.1007/s00432-021-03588-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Accepted: 03/07/2021] [Indexed: 12/31/2022]
Abstract
BACKGROUND The recent advancement in massively parallel sequencing technologies has empowered liquid biopsies, in particular circulating tumor DNA (ctDNA) analysis, to be the new paradigm in personalized cancer management. Plasma ctDNA detection overcomes the current limitations in tumor tissue procurement and serves as a convenient and non-invasive method to capture tumor heterogeneity and genetic evolution along patients' cancer journey. In breast cancer, the current clinical application of ctDNA includes real-time monitoring of tumor response, detection of drug-resistant clones, assessing dynamic variations in tumor mutational landscape, identifying actionable mutations, detecting minimal residual disease and screening of early tumor. PURPOSE This review aims to summarize the current clinical evidence of ctDNA application in the management of breast cancer.
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Early, On-Treatment Levels and Dynamic Changes of Genomic Instability in Circulating Tumor DNA Predict Response to Treatment and Outcome in Metastatic Breast Cancer Patients. Cancers (Basel) 2021; 13:cancers13061331. [PMID: 33809567 PMCID: PMC7999382 DOI: 10.3390/cancers13061331] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/11/2021] [Accepted: 03/13/2021] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Liquid biopsies offer the opportunity to monitor cancer progression and the response to treatment with a simple blood test. However, most of the technologies available analyze specific molecular alterations or require tumor tissue for analysis, which is very difficult to obtain in metastatic patients. In this study, we made use of a novel method that allows to measure the overall molecular tumor changes in a blood sample without the need for tissue or to look for specific molecular alterations. We demonstrated the ability of this method to very early monitor the treatment clinical response and progression in a cohort of metastatic breast cancer patients. Abstract Background: Circulating tumor DNA (ctDNA) offers high sensitivity and specificity in metastatic cancer. However, many ctDNA assays rely on specific mutations in recurrent genes or require the sequencing of tumor tissue, difficult to do in a metastatic disease. The purpose of this study was to define the predictive and prognostic values of the whole-genome sequencing (WGS) of ctDNA in metastatic breast cancer (MBC). Methods: Plasma from 25 patients with MBC were taken at the baseline, prior to treatment (T0), one week (T1) and two weeks (T2) after treatment initiation and subjected to low-pass WGS. DNA copy number changes were used to calculate a Genomic Instability Number (GIN). A minimum predefined GIN value of 170 indicated detectable ctDNA. GIN values were correlated with the treatment response at three and six months by Response Evaluation Criteria in Solid Tumours assessed by imaging (RECIST) criteria and with overall survival (OS). Results: GIN values were detectable (>170) in 64% of patients at the baseline and were significantly prognostic (41 vs. 18 months OS for nondetectable vs. detectable GIN). Detectable GIN values at T1 and T2 were significantly associated with poor OS. Declines in GIN at T1 and T2 of > 50% compared to the baseline were associated with three-month response and, in the case of T1, with OS. On the other hand, a rise in GIN at T2 was associated with a poor response at three months. Conclusions: Very early measurements using WGS of cell-free DNA (cfDNA) from the plasma of MBC patients provided a tumor biopsy-free approach to ctDNA measurement that was both predictive of the early tumor response at three months and prognostic.
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Andersson D, Kristiansson H, Kubista M, Ståhlberg A. Ultrasensitive circulating tumor DNA analysis enables precision medicine: experimental workflow considerations. Expert Rev Mol Diagn 2021; 21:299-310. [PMID: 33683971 DOI: 10.1080/14737159.2021.1889371] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Introduction: Circulating tumor DNA (ctDNA) has become a relevant biomarker in cancer management, allowing tumor assessment through analysis of minimally invasive liquid biopsies. Applications include screening, diagnostics, monitoring of treatment efficacy and detection of minimal residual disease as well as relapse. The potential of ctDNA analysis is significant, but several biological and technical challenges need to be addressed before widespread clinical implementation.Areas covered: Several clinical applications where ctDNA analysis may be beneficial require detection of individual DNA molecules. Consequently, to acquire accurate and informative data the entire workflow from sampling to final data interpretation needs to be optimized. In this review, we discuss the biological and technical challenges of ctDNA analysis and how preanalytical and analytical approaches affect different cancer applications.Expert opinion: While numerous studies have demonstrated the potential of using ctDNA in cancer applications, yet few reports about true clinical utility exist. Despite encouraging data, the sensitivity of ctDNA analyses, i.e. the probability to detect presence of cancer in liquid biopsies, is still an issue. Analysis of multiple mutations in combination with simultaneous assessment of other analytes is one solution. Improved standardization and guidelines will also facilitate the introduction of ctDNA analysis into clinical routine.
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Affiliation(s)
- Daniel Andersson
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
| | - Helena Kristiansson
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Mikael Kubista
- Institute of Biotechnology, Czech Academy of Sciences, Vestec, Czech Republic.,TATAA Biocenter, Gothenburg, Sweden
| | - Anders Ståhlberg
- Sahlgrenska Center for Cancer Research, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden.,Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden.,Department of Clinical Genetics and Genomics, Sahlgrenska University Hospital, Gothenburg, Sweden
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