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Valenza C, Trapani D, Loibl S, Chia SKL, Burstein HJ, Curigliano G. Optimizing Postneoadjuvant Treatment in Patients With Early Breast Cancer Achieving Pathologic Complete Response. J Clin Oncol 2024; 42:2372-2376. [PMID: 38569132 DOI: 10.1200/jco.23.01935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/03/2023] [Accepted: 01/22/2024] [Indexed: 04/05/2024] Open
Abstract
pCR should be integrated with other prognostic factors to optimize postneoadjuvant treatments in BC.
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Affiliation(s)
- Carmine Valenza
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Dario Trapani
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Sibylle Loibl
- Center for Hematology and Oncology Bethanien, Frankfurt, Germany
| | | | - Harold J Burstein
- Medical Oncology, Dana-Farber Cancer Institute, Boston, MA
- Breast Oncology Program, Dana-Farber Brigham Cancer Center, Boston, MA
- Harvard Medical School, Boston, MA
| | - Giuseppe Curigliano
- Division of New Drugs and Early Drug Development for Innovative Therapies, European Institute of Oncology, IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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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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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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Hassan F, Wang JH, O'Leary DP, Corrigan M, Redmond HP. Association of preoperative and postoperative circulating tumour DNA (ctDNA) with PIK3CA gene mutation with risk of recurrence in patients with non-metastatic breast cancer. Surg Oncol 2024; 54:102060. [PMID: 38603927 DOI: 10.1016/j.suronc.2024.102060] [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: 02/20/2023] [Revised: 02/14/2024] [Accepted: 02/28/2024] [Indexed: 04/13/2024]
Abstract
BACKGROUND Circulating tumour DNA (ctDNA), contains tumour-specific gene mutation in blood circulation and could aid in postoperative risk stratification of non-metastatic breast cancer. In this study, we investigated the feasibility of detecting PIK3CA gene mutations in ctDNA in the preoperative (preop) and postoperative period (postop), and its prognostic significance in patients with breast cancer. METHODS A cohort of patients with breast cancer undergoing curative surgery with available blood samples preoperatively and postoperatively (Post op) at either Post op time period; week 1-2, week 3-4 or weeks 5-12 were enrolled. PIK3CA gene mutations at exons 9 and 20 were detected in ctDNA with High resolution melting (HRM) PCR and Allele specific fluorescence probe-based PCR. RESULTS A total of 62 patients (age, median (IQR), 51.50 (45.0-65.0) years), with a median follow-up of 90 months (interquartile range (IQR),60-120 months) were enrolled. In total, 25 (40.3%) and 22 (35%) patients with breast cancer had detectable PIK3CA gene mutations in ctDNA in preoperative and postoperative period, respectively. PIK3CA gene mutations in ctDNA in postoperative period (hazard ratio (H.R: 18.05, p = 0.001) were a negative prognostic factor for recurrencefree survival (RFS) and overall survival (OS) (H.R: 11.9, p = 0.01) in patients with breast cancer. Subgroup analysis of ctDNA indicate that positive ctDNA in both preoperative/postoperative period and post op period only were found to have prognostic effect on RFS and OS (RFS; p < 0.0001, O·S; p = 0.0007). Moreover, ctDNA-based detection preceded clinical detection of recurrence in patients with an average lead time of 12 months (IQR:20-28.5 months) across all the breast cancer subtypes. CONCLUSION We highlighted the prognostic ability of ctDNA in patients with breast cancer in perioperative period. However, future prospective studies are needed to assess the utility of ctDNA in clinical practice.
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Affiliation(s)
- Fara Hassan
- Department of Breast Surgery, Cork University Hospital, Cork, Ireland; SURGUVANT Research Lab, University College Cork, Cork, Ireland.
| | - Jiang Huai Wang
- SURGUVANT Research Lab, University College Cork, Cork, Ireland
| | | | - Mark Corrigan
- Department of Breast Surgery, Cork University Hospital, Cork, Ireland; SURGUVANT Research Lab, University College Cork, Cork, Ireland; Cork Breast Research Centre, University College Cork, Cork, Ireland
| | - Henry Paul Redmond
- Department of Breast Surgery, Cork University Hospital, Cork, Ireland; SURGUVANT Research Lab, University College Cork, Cork, Ireland
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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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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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Zavarykina TM, Lomskova PK, Pronina IV, Khokhlova SV, Stenina MB, Sukhikh GT. Circulating Tumor DNA Is a Variant of Liquid Biopsy with Predictive and Prognostic Clinical Value in Breast Cancer Patients. Int J Mol Sci 2023; 24:17073. [PMID: 38069396 PMCID: PMC10706922 DOI: 10.3390/ijms242317073] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
This paper introduces the reader to the field of liquid biopsies and cell-free nucleic acids, focusing on circulating tumor DNA (ctDNA) in breast cancer (BC). BC is the most common type of cancer in women, and progress with regard to treatment has been made in recent years. Despite this, there remain a number of unresolved issues in the treatment of BC; in particular, early detection and diagnosis, reliable markers of response to treatment and for the prediction of recurrence and metastasis, especially for unfavorable subtypes, are needed. It is also important to identify biomarkers for the assessment of drug resistance and for disease monitoring. Our work is devoted to ctDNA, which may be such a marker. Here, we describe its main characteristics and potential applications in clinical oncology. This review considers the results of studies devoted to the analysis of the prognostic and predictive roles of various methods for the determination of ctDNA in BC patients. Currently known epigenetic changes in ctDNA with clinical significance are reviewed. The possibility of using ctDNA as a predictive and prognostic marker for monitoring BC and predicting the recurrence and metastasis of cancer is also discussed, which may become an important part of a precision approach to the treatment of BC.
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Affiliation(s)
- Tatiana M. Zavarykina
- N.M. Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow 119334, Russia;
- “B.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology of Ministry of Health of the Russian Federation, Moscow 117997, Russia; (S.V.K.); (G.T.S.)
| | - Polina K. Lomskova
- N.M. Emanuel Institute of Biochemical Physics of the Russian Academy of Sciences, Moscow 119334, Russia;
| | - Irina V. Pronina
- Institute of General Pathology and Pathophysiology, Moscow 125315, Russia;
| | - Svetlana V. Khokhlova
- “B.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology of Ministry of Health of the Russian Federation, Moscow 117997, Russia; (S.V.K.); (G.T.S.)
| | - Marina B. Stenina
- “N.N. Blokhin National Medical Research Center of Oncology of Ministry of Health of the Russian Federation, Moscow 115522, Russia;
| | - Gennady T. Sukhikh
- “B.I. Kulakov National Medical Research Center of Obstetrics, Gynecology, and Perinatology of Ministry of Health of the Russian Federation, Moscow 117997, Russia; (S.V.K.); (G.T.S.)
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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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Zhou J, Mo H, Hu D, Zhao X, Zhou H, Pan J. Association of ctDNA detection and recurrence assessment in patients with neoadjuvant treatment. Cancer Med 2023; 12:19794-19806. [PMID: 37746916 PMCID: PMC10587978 DOI: 10.1002/cam4.6544] [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: 05/12/2023] [Revised: 09/02/2023] [Accepted: 09/05/2023] [Indexed: 09/26/2023] Open
Abstract
BACKGROUND The utilization of neoadjuvant therapy is progressively expanding in various clinical settings. However, the absence of a clinically validated biomarker to evaluate the treatment response remains a significant challenge in the field. Circulating tumor DNA (ctDNA) detection, a novel and emerging monitoring approach in the field of oncology, holds promise as a potential prognostic biomarker for patients with cancer. This meta-analysis investigated the clinical significance of ctDNA detection as a predictive tool for cancer recurrence in patients receiving neoadjuvant treatment. METHODS A comprehensive systematic literature search was conducted using public databases to identify relevant studies that investigated the association between ctDNA detection and cancer recurrence in patients receiving neoadjuvant treatment. Hazard ratios (HRs) and their corresponding 95% confidence intervals (95% CI) were calculated to assess the relationship between cancer recurrence and relevant factors. Cancer recurrence was considered the primary outcome. RESULTS A total of 23 studies encompassing 1590 patients across eight different cancer types were included in the final analysis. Positive ctDNA detection was significantly associated with higher cancer recurrence, especially at post-neoadjuvant treatment and post-surgery time points. The risk values for the different cancer categories and geographic areas also differed significantly. CONCLUSION Our comprehensive meta-analysis revealed a significant positive correlation between ctDNA detection and a higher risk of cancer recurrence in patients receiving neoadjuvant treatment. In addition, the risk of recurrence was influenced by variations in cancer type, timing of detection, and geographic region. These findings highlight the promising clinical applicability of ctDNA as a prognostic marker and monitoring approach for patients with cancer. However, the precise mechanism is unknown and more evidence is needed for further research.
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Affiliation(s)
- Jiaxin Zhou
- General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
- International School, Jinan University, Guangzhou, China
| | - Haocong Mo
- Department of Physiology, School of Medicine, Jinan University, Guangzhou, China
| | - Dahai Hu
- General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xiaoxu Zhao
- General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
- Department of Gastrointestinal Surgery, The Fifth Affiliated Hospital of Jinan University, Heyuan, China
| | - Hong Zhou
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jinghua Pan
- General Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
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10
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Lin PH, Tien YW, Cheng WF, Chiang YC, Wu CH, Yang K, Huang CS. Diverse genetic spectrum among patients who met the criteria of hereditary breast, ovarian and pancreatic cancer syndrome. J Gynecol Oncol 2023; 34:e66. [PMID: 37170728 PMCID: PMC10482589 DOI: 10.3802/jgo.2023.34.e66] [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: 12/31/2022] [Revised: 03/06/2023] [Accepted: 04/16/2023] [Indexed: 05/13/2023] Open
Abstract
OBJECTIVE Genetic high-risk assessment combines hereditary breast, ovarian and pancreatic cancer into one syndrome. However, there is a lack of data for comparing the germline mutational spectrum of the cancer predisposing genes between these three cancers. METHODS Patients who met the criteria of the hereditary breast, ovarian and pancreatic cancer were enrolled and received multi-gene sequencing. RESULTS We enrolled 730 probands: 418 developed breast cancer, 185 had ovarian cancer, and 145 had pancreatic cancer. Out of the 18 patients who had two types of cancer, 16 had breast and ovarian cancer and 2 had breast and pancreatic cancer. A total of 167 (22.9%) patients had 170 mutations. Mutation frequency in breast, ovarian and pancreatic cancer was 22.3%, 33.5% and 17.2%, respectively. The mutation rate was significantly higher in patients with double cancers than those with a single cancer (p<0.001). BRCA1 and BRCA2 were the most dominant genes associated with hereditary breast and ovarian cancer, whereas ATM was the most prevalent gene related to hereditary pancreatic cancer. Genes of hereditary colon cancer such as lynch syndrome were presented in a part of patients with pancreatic or ovarian cancer but seldom in those with breast cancer. Families with a history of both ovarian and breast cancer were associated with a higher mutation rate than those with other histories. CONCLUSION The mutation spectrum varies across the three cancer types and family histories. Our analysis provides guidance for physicians, counsellors, and counselees on the offer and uptake of genetic counseling.
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Affiliation(s)
- Po-Han Lin
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
- Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Yun-Wen Tien
- Department of Surgery, National Taiwan University Hospital and Medical College of the National Taiwan University, Taipei, Taiwan
| | - Wen-Fang Cheng
- Department of Gynecology and Obstetrics, National Taiwan University Hospital, Taipei, Taiwan
| | - Ying-Cheng Chiang
- Department of Gynecology and Obstetrics, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Huei Wu
- Department of Surgery, National Taiwan University Hospital and Medical College of the National Taiwan University, Taipei, Taiwan
| | - Karen Yang
- Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Chiun-Sheng Huang
- Department of Surgery, National Taiwan University Hospital and Medical College of the National Taiwan University, Taipei, Taiwan.
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11
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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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12
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Curigliano G, Dent R, Llombart-Cussac A, Pegram M, Pusztai L, Turner N, Viale G. Incorporating clinicopathological and molecular risk prediction tools to improve outcomes in early HR+/HER2- breast cancer. NPJ Breast Cancer 2023; 9:56. [PMID: 37380659 PMCID: PMC10307886 DOI: 10.1038/s41523-023-00560-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: 01/05/2022] [Accepted: 06/06/2023] [Indexed: 06/30/2023] Open
Abstract
Stratification of recurrence risk is a cornerstone of early breast cancer diagnosis that informs a patient's optimal treatment pathway. Several tools exist that combine clinicopathological and molecular information, including multigene assays, which can estimate risk of recurrence and quantify the potential benefit of different adjuvant treatment modalities. While the tools endorsed by treatment guidelines are supported by level I and II evidence and provide similar prognostic accuracy at the population level, they can yield discordant risk prediction at the individual patient level. This review examines the evidence for these tools in clinical practice and offers a perspective of potential future risk stratification strategies. Experience from clinical trials with cyclin D kinase 4/6 (CDK4/6) inhibitors in the setting of hormone receptor-positive (HR+)/human epidermal growth factor receptor 2-negative (HER2-) early breast cancer is provided as an illustrative example of risk stratification.
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Affiliation(s)
- Giuseppe Curigliano
- European Institute of Oncology, IRCCS, Milan, Italy.
- Department of Oncology and Hemato-Oncology, University of Milano, Milan, Italy.
| | | | | | | | | | | | - Giuseppe Viale
- European Institute of Oncology, IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milano, Milan, Italy
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13
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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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14
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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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15
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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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16
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Nguyen Hoang VA, Nguyen ST, Nguyen TV, Pham TH, Doan PL, Nguyen Thi NT, Nguyen ML, Dinh TC, Pham DH, Nguyen NM, Nguyen DS, Nguyen DQ, Lu YT, Do TTT, Truong DK, Phan MD, Nguyen HN, Giang H, Tu LN. Genetic landscape and personalized tracking of tumor mutations in Vietnamese women with breast cancer. Mol Oncol 2022; 17:598-610. [PMID: 36495126 PMCID: PMC10061293 DOI: 10.1002/1878-0261.13356] [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: 08/18/2022] [Revised: 11/22/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022] Open
Abstract
Breast cancer is the leading cause of cancer death in Vietnamese women, but its mutational landscape and actionable alterations for targeted therapies remain unknown. After treatment, a sensitive biomarker to complement conventional imaging to monitor patients is also lacking. In this prospective multi-center study, 134 early-stage breast cancer patients eligible for curative-intent surgery were recruited. Genomic DNA from tumor tissues and paired white blood cells were sequenced to profile all tumor-derived mutations in 95 cancer-associated genes. Our bioinformatic algorithm was then utilized to identify top mutations for individual patients. Serial plasma samples were collected before surgery and at scheduled visits after surgery. Personalized assay tracking the selected mutations were performed to detect circulating tumor DNA (ctDNA) in the plasma. We found that the mutational landscape of the Vietnamese was largely similar to other Asian cohorts, showing higher TP53 mutation frequency than in Caucasians. Alterations in PIK3CA and PI3K signaling were dominant, particularly in our triple-negative subgroup. Using top-ranked mutations, we detected ctDNA in pre-operative plasma in 24.6-43.5% of the hormone-receptor-positive groups and 76.9-80.8% of the hormone-receptor-negative groups. The detection rate was associated with breast cancer subtypes and clinicopathological features that increased the risk of relapse. Interim analysis after a 15-month follow-up revealed post-operative detection of ctDNA in all three patients that had recurrence, with a lead time of 7-13 months ahead of clinical diagnosis. Our personalized assay is streamlined and affordable with promising clinical utility in residual cancer surveillance. We also generated the first somatic variant dataset for Vietnamese breast cancer women that could lay the foundation for precision cancer medicine in Vietnam.
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Affiliation(s)
- Van-Anh Nguyen Hoang
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
| | | | | | | | - Phuoc Loc Doan
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
| | - Ngoc Thanh Nguyen Thi
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
| | - Minh Long Nguyen
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
| | - Thi Cuc Dinh
- Thu Duc City Hospital, Ho Chi Minh City, Vietnam
| | | | - Ngoc Mai Nguyen
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
| | - Duy Sinh Nguyen
- Department of Oncology, Faculty of Medicine, Nguyen Tat Thanh University, Ho Chi Minh City, Vietnam
| | - Du Quyen Nguyen
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
| | - Y-Thanh Lu
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
| | | | | | - Minh-Duy Phan
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
| | | | - Hoa Giang
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
| | - Lan N Tu
- Medical Genetics Institute, Ho Chi Minh City, Vietnam.,Gene Solutions, Ho Chi Minh City, Vietnam
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17
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Sorscher S. Biomarkers That Predict an Unclear Benefit From Adjuvant Trastuzumab, Pertuzumab and Pembrolizumab When Those Same Drugs Were Given Neoadjuvantly. J Breast Cancer 2022; 26:86-91. [PMID: 36762785 PMCID: PMC9981989 DOI: 10.4048/jbc.2022.25.e50] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 11/10/2022] [Indexed: 12/12/2022] Open
Affiliation(s)
- Steven Sorscher
- Retired Professor, Department of Medicine/Oncology Division, Wake Forest University School of Medicine, One Medical Center Blvd, Winston-Salem, USA.
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18
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Sant M, Bernat-Peguera A, Felip E, Margelí M. Role of ctDNA in Breast Cancer. Cancers (Basel) 2022; 14:310. [PMID: 35053474 PMCID: PMC8773730 DOI: 10.3390/cancers14020310] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 01/01/2022] [Accepted: 01/06/2022] [Indexed: 12/16/2022] Open
Abstract
Breast cancer is currently classified by immunohistochemistry. However, technological advances in the detection of circulating tumor DNA (ctDNA) have made new options available for diagnosis, classification, biological knowledge, and treatment selection. Breast cancer is a heterogeneous disease and ctDNA can accurately reflect this heterogeneity, allowing us to detect, monitor, and understand the evolution of the disease. Breast cancer patients have higher levels of circulating DNA than healthy subjects, and ctDNA can be used for different objectives at different timepoints of the disease, ranging from screening and early detection to monitoring for resistance mutations in advanced disease. In early breast cancer, ctDNA clearance has been associated with higher rates of complete pathological response after neoadjuvant treatment and with fewer recurrences after radical treatments. In metastatic disease, ctDNA can help select the optimal sequencing of treatments. In the future, thanks to new bioinformatics tools, the use of ctDNA in breast cancer will become more frequent, enhancing our knowledge of the biology of tumors. Moreover, deep learning algorithms may also be able to predict breast cancer evolution or treatment sensitivity. In the coming years, continued research and the improvement of liquid biopsy techniques will be key to the implementation of ctDNA analysis in routine clinical practice.
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Affiliation(s)
- Marta Sant
- Medical Oncology Department, Catalan Institute of Oncology-Badalona, Hospital Germans Trias i Pujol (HGTiP), 08916 Badalona, Spain
| | - Adrià Bernat-Peguera
- Badalona Applied Research Group in Oncology (B-ARGO), Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
| | - Eudald Felip
- Medical Oncology Department, Catalan Institute of Oncology-Badalona, Hospital Germans Trias i Pujol (HGTiP), 08916 Badalona, Spain
- Badalona Applied Research Group in Oncology (B-ARGO), Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
| | - Mireia Margelí
- Medical Oncology Department, Catalan Institute of Oncology-Badalona, Hospital Germans Trias i Pujol (HGTiP), 08916 Badalona, Spain
- Badalona Applied Research Group in Oncology (B-ARGO), Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol (IGTP), Universitat Autònoma de Barcelona, 08916 Badalona, Spain
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