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Dai Y, Lian C, Zhang Z, Gao J, Lin F, Li Z, Wang Q, Chu T, Aishanjiang D, Chen M, Wang X, Cheng G, Huang R, Dong J, Zhang H, Mao N. Development and Validation of a Deep Learning System to Differentiate HER2-Zero, HER2-Low, and HER2-Positive Breast Cancer Based on Dynamic Contrast-Enhanced MRI. J Magn Reson Imaging 2025; 61:2212-2220. [PMID: 39643475 DOI: 10.1002/jmri.29670] [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: 09/11/2024] [Revised: 11/12/2024] [Accepted: 11/14/2024] [Indexed: 12/09/2024] Open
Abstract
BACKGROUND Previous studies explored MRI-based radiomic features for differentiating between human epidermal growth factor receptor 2 (HER2)-zero, HER2-low, and HER2-positive breast cancer, but deep learning's effectiveness is uncertain. PURPOSE This study aims to develop and validate a deep learning system using dynamic contrast-enhanced MRI (DCE-MRI) for automated tumor segmentation and classification of HER2-zero, HER2-low, and HER2-positive statuses. STUDY TYPE Retrospective. POPULATION One thousand two hundred ninety-four breast cancer patients from three centers who underwent DCE-MRI before surgery were included in the study (52 ± 11 years, 811/204/279 for training/internal testing/external testing). FIELD STRENGTH/SEQUENCE 3 T scanners, using T1-weighted 3D fast spoiled gradient-echo sequence, T1-weighted 3D enhanced fast gradient-echo sequence and T1-weighted turbo field echo sequence. ASSESSMENT An automated model segmented tumors utilizing DCE-MRI data, followed by a deep learning models (ResNetGN) trained to classify HER2 statuses. Three models were developed to distinguish HER2-zero, HER2-low, and HER2-positive from their respective non-HER2 categories. STATISTICAL TESTS Dice similarity coefficient (DSC) was used to evaluate the segmentation performance of the model. Evaluation of the model performances for HER2 statuses involved receiver operating characteristic (ROC) curve analysis and the area under the curve (AUC), accuracy, sensitivity, and specificity. The P-values <0.05 were considered statistically significant. RESULTS The automatic segmentation network achieved DSC values of 0.85 to 0.90 compared to the manual segmentation across different sets. The deep learning models using ResNetGN achieved AUCs of 0.782, 0.776, and 0.768 in differentiating HER2-zero from others in the training, internal test, and external test sets, respectively. Similarly, AUCs of 0.820, 0.813, and 0.787 were achieved for HER2-low vs. others, and 0.792, 0.745, and 0.781 for HER2-positive vs. others, respectively. DATA CONCLUSION The proposed DCE-MRI-based deep learning system may have the potential to preoperatively distinct HER2 expressions of breast cancers with therapeutic implications. EVIDENCE LEVEL 4 TECHNICAL EFFICACY: Stage 3.
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Affiliation(s)
- Yi Dai
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Chun Lian
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Zhuo Zhang
- School of Computer Science and Technology, Shandong Technology and Business University, Yantai, Shandong, China
| | - Jing Gao
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
| | - Fan Lin
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
| | - Ziyin Li
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
| | - Qi Wang
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
| | - Tongpeng Chu
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
| | - Dilinuer Aishanjiang
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Meiying Chen
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Ximing Wang
- Department of Radiology, Shandong Provincial Hospital, Jinan, Shandong, China
| | - Guanxun Cheng
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Rong Huang
- Department of Medical Imaging, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Jianjun Dong
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
| | - Haicheng Zhang
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
| | - Ning Mao
- Department of Radiology, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Big Data and Artificial Intelligence Laboratory, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
- Shandong Provincial Key Medical and Health Laboratory of Intelligent Diagnosis and Treatment for Women's Diseases, Yantai Yuhuangding Hospital, Qingdao University, Yantai, Shandong, China
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Conforti F, Nekljudova V, Sala I, Ascari R, Solbach C, Untch M, Denkert C, Bagnardi V, Pala L, Fasching PA, Schneeweiss A, Lück HJ, Pagan E, De Pas T, van Mackelenbergh M, Huober J, Müller V, Link T, Karn T, Reinisch M, Marmé F, Bjelic-Radisic V, Schem C, Hartkopf A, Stickeler E, Hanusch C, Blohmer JU, Fehm T, Rhiem K, Holtschmidt J, Gelber RD, Loibl S. Surrogate End Points for Overall Survival in Neoadjuvant Randomized Clinical Trials for Early Breast Cancer. J Clin Oncol 2025; 43:1441-1452. [PMID: 39883887 DOI: 10.1200/jco-24-01360] [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: 06/23/2024] [Revised: 11/07/2024] [Accepted: 12/23/2024] [Indexed: 02/01/2025] Open
Abstract
PURPOSE To assess trial-level surrogacy value for overall survival (OS) of the pathologic complete response (pCR) and invasive disease-free survival (iDFS) in randomized clinical trials (RCTs) for early breast cancer (BC). METHODS Individual patient data of neoadjuvant RCTs with available data on pCR, iDFS, and OS were included in the analysis. We used the coefficient of determination R2 from weighted linear regression models to quantify the association between treatment effects on OS and on the surrogate end points. RESULTS Eleven RCTs, for a total of 15 treatment comparisons and 12,247 patients, were included in the analysis. There was a weak association between hazard ratios (HRs) for OS and odds ratio of pCR overall (R2, 0.07; 95% CI, 0.00 to 0.48), as well as in all the subgroups explored. Overall, the R2 for the association between HR OS and HR iDFS was 0.46 (95% CI, 0.08 to 0.71), which is just below the cutoff of 0.5 for moderate surrogacy. In the majority of subgroups explored, the R2 ranged from 0.5 to <0.7, while in hormone receptor-/human epidermal growth factor receptor 2- subtype, histologic grade 1-2 tumors, and lobular tumors, surrogacy was strong (ie, R2 ≥0.7). The surrogacy value of iDFS for OS was affected by follow-up (FUP) length: R2 substantially increased up to 36 months of FUP, with little further improvement after 48 months of FUP. CONCLUSION iDFS with sufficient FUP is an acceptable surrogate end point to confidently anticipate final OS results of neoadjuvant RCTs for early BC. This recommendation holds true across many subgroups, with the notable exception of HR+ disease. There is definite need to reassess whether OS is the optimal end point for treatment efficacy measurement in HR+ early BC.
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Affiliation(s)
- Fabio Conforti
- Medical Oncology Unit, Humanitas Gavazzeni, Bergamo, Italy
- Humanitas University, Rozzano, Italy
| | | | - Isabella Sala
- Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
- Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
| | - Roberto Ascari
- Department of Economics, Management and Statistics, University of Milano-Bicocca, Milan, Italy
| | | | | | - Carsten Denkert
- Institute of Pathology, Philipps-University Marburg, University Hospital UKGM Marburg, Marburg, Germany
| | - Vincenzo Bagnardi
- Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Laura Pala
- Medical Oncology Unit, Humanitas Gavazzeni, Bergamo, Italy
- Humanitas University, Rozzano, Italy
| | | | - Andreas Schneeweiss
- National Center for Tumor Diseases, University Hospital and German Cancer Research Center, Heidelberg, Germany
| | - Hans-Joachim Lück
- Gynäkologisch-onkologische Praxis Neumarkt, Neumarkt in der Oberpfalz, Germany
| | - Eleonora Pagan
- Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy
| | - Tommaso De Pas
- Medical Oncology Unit, Humanitas Gavazzeni, Bergamo, Italy
| | - Marion van Mackelenbergh
- Universitätsklinikum Schleswig-Holstein, Klinik für Gynäkologie und Geburtshilfe, Schleswig-Holstein, Germany
| | - Jens Huober
- Departement Interdisziplinäre medizinische Dienste, Kantonsspital St Gallen, Brustzentrum, St Gallen, Switzerland
| | - Volkmar Müller
- Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Theresa Link
- Department of Gynecology and Obstetrics, Technische Universität Dresden, Dresden, Germany
| | - Thomas Karn
- Klinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum Frankfurt, Frankfurt, Germany
| | - Mattea Reinisch
- Department of Gynecology with Breast Center, Evang. Kliniken Essen-Mitte, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Frederik Marmé
- Medizinische Fakultät Mannheim, Universität Heidelberg, Universitätsfrauenklinik Mannheim, Mannheim, Germany
| | - Vesna Bjelic-Radisic
- Breast Unit, University Hospital Helios, University Witten Herdecke, Wuppertal, Germany
| | | | - Andreas Hartkopf
- AGO Study Group and University Hospital Tübingen, Tübingen, Germany
| | - Elmar Stickeler
- Klinik für Gynäkologie und Geburtsmedizin, Uniklinik Aachen, Aachen, Germany
| | | | - Jens-Uwe Blohmer
- Gynakologie mit Brustzentrum, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Tanja Fehm
- Universitätsklinik Düsseldorf, Düsseldorf, Germany
| | - Kerstin Rhiem
- Center for Familial Breast and Ovarian Cancer, University of Cologne, Cologne, Germany
| | | | - Richard D Gelber
- Department of Data Science, Dana-Farber Cancer Institute, Harvard Medical School, Harvard T.H. Chan School of Public Health, and Frontier Science & Technology Research Foundation, Boston, MA
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Cao M, Zeng Y, Liu X, Liu Y, Chen C, Guo L, Zheng H, Shen H, Yao Y, Zhang J, Yu Z. Development of Stable and Intensified Mixing Processes for the Precise and Scalable Production of Uniform Drug Delivery Nanocarriers. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2406521. [PMID: 39468800 DOI: 10.1002/smll.202406521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2024] [Revised: 10/11/2024] [Indexed: 10/30/2024]
Abstract
Nanocarriers show great promise in drug delivery but face challenges in stability, uniformity, and morphology control. This work introduces an enhanced mixing process to overcome these obstacles, specifically aiming to produce consistently sized poly(lactic-co-glycolic) acid (PLGA) nanoparticles loaded with anti-tumor drugs. By innovatively integrating a pulsation dampener into the microfluidic channels of a continuous flow preparation system, the flow stability of piston pumps is improved nearly tenfold. Consequently, large-scale production of uniformly sized nanoparticles with customizable dimensions is achieved through nanoprecipitation. Furthermore, incorporating terminal double-bond-functionalized poly(lactic-co-glycolic acid)-b-poly(ethylene glycol)-maleimide (PLGA-PEG-Mal) enables these nanoparticles to act as nano-crosslinkers. This facilitates in situ crosslinking with thiolated hyaluronic acid via a spontaneous thiol-ene coupling reaction under physiological conditions, allowing for minimally invasive drug administration and significantly enhancing localized drug retention. The material's degradability in the presence of endogenous enzymes ensures controlled drug release, as demonstrated with the anti-tumor drug doxorubicin (DOX). Validation in a murine breast cancer model shows reduced toxicity and a substantial reduction in tumor weight compared to the free DOX group. These findings confirm the approach's effectiveness for breast cancer treatment and pave the way for innovative solutions in nanomedicine, providing a practical microfluidic mixing system for the design and large-scale production of nanomedicines.
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Affiliation(s)
- Meng Cao
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, P. R. China
| | - Yunfeng Zeng
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, P. R. China
| | - Xianglin Liu
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, P. R. China
| | - Yue Liu
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, P. R. China
| | - Cheng Chen
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, P. R. China
| | - Lingxi Guo
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, P. R. China
| | - Haiping Zheng
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, P. R. China
| | - Haixia Shen
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, P. R. China
| | - Yongzhong Yao
- Division of Breast Surgery, Department of General Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School, Nanjing University, Nanjing, 210008, P. R. China
| | - Jing Zhang
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, P. R. China
| | - Ziyi Yu
- State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, 30 Puzhu South Road, Nanjing, 211816, P. R. China
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Matos LVD, Debiasi M, Padrão TG, Sousa B, Cardoso F. Can we counterbalance restricted access to innovation through specialized breast cancer care? The REAL-NOTE study. Breast 2024; 78:103793. [PMID: 39232267 PMCID: PMC11403271 DOI: 10.1016/j.breast.2024.103793] [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: 01/21/2024] [Revised: 08/26/2024] [Accepted: 08/28/2024] [Indexed: 09/06/2024] Open
Abstract
INTRODUCTION The KEYNOTE-522 (KN-522) trial showed that the addition of pembrolizumab to standard chemotherapy improved pathological complete response (pCR) and event-free survival (EFS) for patients with early triple negative breast cancer (TNBC). We analyzed results of a real-world cohort of patients treated in a certified Breast Unit, before the introduction of pembrolizumab, to see if high quality care can match outcomes brought by the addition of an innovative anticancer therapy. METHODS Observational, retrospective, single-center cohort study, with real-world data from an ongoing institutional database with prespecified variables. Inclusion criteria matched the ones from KN-522: previously untreated stage II or III TNBC, diagnosed between 2012 and 2022, who received neoadjuvant chemotherapy. The primary endpoints were pCR at the time of definitive surgery and EFS; overall survival (OS) was a secondary endpoint. RESULTS Total of 168 patients were included, median age 55 years, 55 % received neoadjuvant chemotherapy with dose dense anthracyclines and taxanes and 25 % carboplatin + paclitaxel, sequenced with dose dense anthracyclines. Most had Stage II disease (82.7 %), 47 % node + disease. pCR was achieved in 52.7 % cases. At 36 months, EFS was 83.3 % (95 % CI 75.1-89.0) and OS 89 % (95 % CI, 81.6 to 93.5). CONCLUSIONS Notwithstanding the study limitations, outcomes of patients treated with chemotherapy without immunotherapy were numerically similar to the experimental arm of KN-522 trial. These data highlight that providing care by a specialized multidisciplinary team in a certified unit might be just as impactful as the incorporation of new technologies.
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Affiliation(s)
| | - Marcio Debiasi
- Breast Unit, Champalimaud Clinical Centre/Champalimaud Foundation, Lisbon, Portugal
| | - Teresa Gantes Padrão
- Breast Unit, Champalimaud Clinical Centre/Champalimaud Foundation, Lisbon, Portugal
| | - Berta Sousa
- Breast Unit, Champalimaud Clinical Centre/Champalimaud Foundation, Lisbon, Portugal
| | - Fatima Cardoso
- Breast Unit, Champalimaud Clinical Centre/Champalimaud Foundation, Lisbon, Portugal.
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Kontogiannis A, Karaviti E, Karaviti D, Lanitis S, Gomatou G, Syrigos NK, Kotteas E. Mutations Matter: Unravelling the Genetic Blueprint of Invasive Lobular Carcinoma for Progression Insights and Treatment Strategies. Cancers (Basel) 2024; 16:3826. [PMID: 39594781 PMCID: PMC11593237 DOI: 10.3390/cancers16223826] [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: 09/29/2024] [Revised: 11/05/2024] [Accepted: 11/10/2024] [Indexed: 11/28/2024] Open
Abstract
Invasive Lobular Carcinoma (ILC) presents a distinct subtype of breast cancer, representing 10-15% of cases, with unique clinical and molecular features. Characterized by a non-cohesive, single-file invasion pattern, ILC is typically estrogen receptor (ER)- and progesterone receptor (PR)-positive but human epidermal growth factor receptor 2 (HER2)-negative. Despite favorable prognostic features, its highly metastatic nature and predilection for atypical sites contribute to lower long-term survival compared to invasive breast carcinoma of no special type (NST). ILC's genetic landscape includes mutations in various genes (CDH1, BRCA2, ATM, etc.) and signaling pathways that impact treatment responses, especially in endocrine treatment. Furthermore, the diverse ILC subtypes complicate its management. Current challenges in chemotherapy, along with the targeted therapies, are also discussed. The present article aims to comprehensively review the recent literature, focusing on the pathological and molecular aspects of ILC, including associated genetic mutations influencing disease progression and drug resistance.
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Affiliation(s)
- Athanasios Kontogiannis
- Oncology Unit, 3rd Department of Medicine, “Sotiria” Hospital for Diseases of the Chest, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.K.); (E.K.); (D.K.); (G.G.); (N.K.S.)
| | - Eleftheria Karaviti
- Oncology Unit, 3rd Department of Medicine, “Sotiria” Hospital for Diseases of the Chest, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.K.); (E.K.); (D.K.); (G.G.); (N.K.S.)
| | - Dimitra Karaviti
- Oncology Unit, 3rd Department of Medicine, “Sotiria” Hospital for Diseases of the Chest, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.K.); (E.K.); (D.K.); (G.G.); (N.K.S.)
| | - Sophocles Lanitis
- 2nd Department of Surgery, Korgiallenio Benakeio Athens General Hospital, 115 26 Athens, Greece;
| | - Georgia Gomatou
- Oncology Unit, 3rd Department of Medicine, “Sotiria” Hospital for Diseases of the Chest, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.K.); (E.K.); (D.K.); (G.G.); (N.K.S.)
| | - Nikolaos K. Syrigos
- Oncology Unit, 3rd Department of Medicine, “Sotiria” Hospital for Diseases of the Chest, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.K.); (E.K.); (D.K.); (G.G.); (N.K.S.)
| | - Elias Kotteas
- Oncology Unit, 3rd Department of Medicine, “Sotiria” Hospital for Diseases of the Chest, National and Kapodistrian University of Athens, 115 27 Athens, Greece; (A.K.); (E.K.); (D.K.); (G.G.); (N.K.S.)
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Möbus V, Lück HJ, Ladda E, Klare P, Engels K, Schmidt M, Schneeweiss A, Grischke EM, Wachsmann G, Forstbauer H, Untch M, Marmé F, Blohmer JU, Jackisch C, Huober J, Stickeler E, Reinisch M, Link T, Sinn B, Janni W, Denkert C, Seiler S, Solbach C, Schmatloch S, Rey J, Loibl S. GAIN2 trial overall survival with intense versus tailored dose dense chemotherapy in early breast cancer. NPJ Breast Cancer 2024; 10:66. [PMID: 39080281 PMCID: PMC11289103 DOI: 10.1038/s41523-024-00675-x] [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: 03/13/2024] [Accepted: 07/14/2024] [Indexed: 08/02/2024] Open
Abstract
GAIN-2 trial evaluated the optimal intense dose-dense (idd) strategy for high-risk early breast cancer. This study reports the secondary endpoints pathological complete response (pCR) and overall survival (OS). Patients (n = 2887) were randomized 1:1 between idd epirubicin, nab-paclitaxel, and cyclophosphamide (iddEnPC) versus leukocyte nadir-based tailored regimen of dose-dense EC and docetaxel (dtEC-dtD) as adjuvant therapy, with neoadjuvant therapy allowed after amendment. At median follow-up of 6.5 years (overall cohort) and 5.7 years (neoadjuvant cohort, N = 593), both regimens showed comparable 5-year OS rates (iddEnPC 90.8%, dtEC-dtD 90.0%, p = 0.320). In the neoadjuvant setting, iddEnPC yielded a higher pCR rate than dtEC-dtD (51.2% vs. 42.6%, p = 0.045). Patients achieving pCR had significantly improved 5-year iDFS (88.7% vs. 70.1%, HR 0.33, p < 0.001) and OS rates (93.9% vs. 83.1%, HR 0.32, p < 0.001), but OS outcomes were comparable regardless of pCR status. Thus, iddEnPC demonstrates superior pCR rates compared to dtEC-dtD, yet with comparable survival outcomes.
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Affiliation(s)
- Volker Möbus
- Medizinische Klinik II, Abt. Hämatologie/Onkologie, Universitätsklinikum Frankfurt, Frankfurt, Germany
| | | | | | - Peter Klare
- Praxisklinik Krebsheilkunde für Frauen, Berlin, Germany
| | - Knut Engels
- Zentrum für Pathologie, Zytologie und Molekularpathologie Neuss, Neuss, Germany
| | | | - Andreas Schneeweiss
- Nationales Centrum für Tumorerkrankungen, Universitätsklinikum und Deutsches Krebsforschungszentrum, Heidelberg, Germany
| | | | | | - Helmut Forstbauer
- GOSPL - Gesellschaft für onkologische Studien Troisdorf, Troisdorf, Germany
| | | | | | - Jens-Uwe Blohmer
- Gynäkologie mit Brustzentrum, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | | | - Elmar Stickeler
- Department of Obstetrics and Gynecology, Center for Integrated Oncology (CIO Aachen, Bonn, Cologne, Düsseldorf), University Hospital of RWTH Aachen, Aachen, Germany
| | - Mattea Reinisch
- Gynäkologie mit Brustzentrum, Charité-Universitätsmedizin Berlin, Berlin, Germany
- Kliniken Essen-Mitte, Essen, Germany
| | - Theresa Link
- Klinik und Poliklinik für Frauenheilkunde und Geburtshilfe, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Germany
| | - Bruno Sinn
- Institut für Pathologie, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | - Carsten Denkert
- Institute of Pathology, Philipps University Marburg, Marburg University Hospital (UKGM), and University Cancer Center Frankfurt-Marburg (UCT), Marburg, Germany
| | | | | | | | - Julia Rey
- German Breast Group, Neu-Isenburg, Germany
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Bania A, Adamou A, Saloustros E. Racial and Ethnic Disparities in European Breast Cancer Clinical Trials. Cancers (Basel) 2024; 16:1726. [PMID: 38730678 PMCID: PMC11082959 DOI: 10.3390/cancers16091726] [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: 03/26/2024] [Revised: 04/26/2024] [Accepted: 04/27/2024] [Indexed: 05/13/2024] Open
Abstract
Breast cancer is the most prevalent female cancer worldwide with known correlations between the race and tumor characteristics of the patients and prognosis. International and US-based studies, however, have reported a disproportionate representation of Black and Hispanic patients in clinical trials. This is the first study assessing race and ethnicity reporting trends and inclusion in European breast cancer trials. The PubMed and ClinicalTrials.gov databases were systematically searched for trials on breast cancer treatment conducted exclusively in Europe between 2010 and 2022. Of the 97 identified trials, race was reported in 10.31%. Multinational participation, but not the study size or trial phase, was significantly associated with higher race reporting trends. These 10 trials featured a White-predominant population, with 1.08% Asian and 0.88% Black patients included. The acquisition of the race and ethnicity data of patients in European trials is lower compared to the U.S. or worldwide studies and does not permit extensive analysis of minority participation. In a limited analysis, the low rates of minority participation are concerning, based on population-based data on minorities in select European countries. These observations should encourage race reporting practices in European breast cancer trials and adequate minority participation to support the generalizability of the results of the studies and promote healthcare equity.
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Affiliation(s)
- Angelina Bania
- Faculty of Medicine, School of Health Sciences, University of Patras, 26504 Patras, Greece;
| | - Antonis Adamou
- Institute of Diagnostic and Interventional Neuroradiology, Hannover Medical School, 30625 Hannover, Germany;
| | - Emmanouil Saloustros
- Division of Oncology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41110 Larissa, Greece
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Zeng W, Luo Y, Gan D, Zhang Y, Deng H, Liu G. Advances in Doxorubicin-based nano-drug delivery system in triple negative breast cancer. Front Bioeng Biotechnol 2023; 11:1271420. [PMID: 38047286 PMCID: PMC10693343 DOI: 10.3389/fbioe.2023.1271420] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2023] [Accepted: 10/30/2023] [Indexed: 12/05/2023] Open
Abstract
Triple positive breast cancer (TPBC) is one of the most aggressive breast cancer. Due to the unique cell phenotype, aggressiveness, metastatic potential and lack of receptors or targets, chemotherapy is the choice of treatment for TNBC. Doxorubicin (DOX), one of the representative agents of anthracycline chemotherapy, has better efficacy in patients with metastatic TNBC (mTNBC). DOX in anthracycline-based chemotherapy regimens have higher response rates. Nano-drug delivery systems possess unique targeting and ability of co-load, deliver and release chemotherapeutic drugs, active gene fragments and immune enhancing factors to effectively inhibit or kill tumor cells. Therefore, advances in nano-drug delivery systems for DOX therapy have attracted a considerable amount of attention from researchers. In this article, we have reviewed the progress of nano-drug delivery systems (e.g., Nanoparticles, Liposomes, Micelles, Nanogels, Dendrimers, Exosomes, etc.) applied to DOX in the treatment of TNBC. We also summarize the current progress of clinical trials of DOX combined with immune checkpoint inhibitors (ICIS) for the treatment of TNBC. The merits, demerits and future development of nanomedicine delivery systems in the treatment of TNBC are also envisioned, with the aim of providing a new class of safe and efficient thoughts for the treatment of TNBC.
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Affiliation(s)
- Weiwei Zeng
- Department of Pharmacy, Shenzhen Longgang Second People’s Hospital, Shenzhen, Guangdong, China
| | - Yuning Luo
- Department of Pharmacy, Shenzhen Longgang Second People’s Hospital, Shenzhen, Guangdong, China
| | - Dali Gan
- Department of Pharmacy, Shenzhen Longgang Second People’s Hospital, Shenzhen, Guangdong, China
| | - Yaofeng Zhang
- Department of Pharmacy, Shenzhen Longgang Second People’s Hospital, Shenzhen, Guangdong, China
| | - Huan Deng
- Department of Pharmacy, Shenzhen Longgang Second People’s Hospital, Shenzhen, Guangdong, China
| | - Guohui Liu
- Shenzhen Longhua Maternity and Child Healthcare Hospital, Shenzhen, Guangdong, China
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Gluz O, Kuemmel S, Nitz U, Braun M, Lüdtke-Heckenkamp K, von Schumann R, Darsow M, Forstbauer H, Potenberg J, Uleer C, Grischke EM, Aktas B, Schumacher C, Zu Eulenburg C, Kates R, Jóźwiak K, Graeser M, Wuerstlein R, Baehner R, Christgen M, Kreipe HH, Harbeck N. Nab-paclitaxel weekly versus dose-dense solvent-based paclitaxel followed by dose-dense epirubicin plus cyclophosphamide in high-risk HR+/HER2- early breast cancer: results from the neoadjuvant part of the WSG-ADAPT-HR+/HER2- trial. Ann Oncol 2023; 34:531-542. [PMID: 37062416 DOI: 10.1016/j.annonc.2023.04.002] [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: 12/02/2022] [Revised: 04/03/2023] [Accepted: 04/06/2023] [Indexed: 04/18/2023] Open
Abstract
BACKGROUND In high-risk hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) early breast cancer (EBC), nanoparticle albumin-bound (nab)-paclitaxel showed promising efficacy versus solvent-based (sb)-paclitaxel in neoadjuvant trials; however, optimal patient and therapy selection remains a topic of ongoing research. Here, we investigate the potential of Oncotype DX® recurrence score (RS) and endocrine therapy (ET) response (low post-endocrine Ki67) for therapy selection. PATIENTS AND METHODS Within the WSG-ADAPT trial (NCT01779206), high-risk HR+/HER2- EBC patients were randomized to (neo)adjuvant 4× sb-paclitaxel 175 mg/m2 q2w or 8× nab-paclitaxel 125 mg/m2 q1w, followed by 4× epirubicin + cyclophosphamide (90 mg + 600 mg) q2w; inclusion criteria: (i) cN0-1, RS 12-25, and post-ET Ki67 >10%; (ii) cN0-1 with RS >25. Patients with cN2-3 or (G3, baseline Ki67 ≥40%, and tumor size >1 cm) were allowed to be included without RS and/or ET response testing. Associations of key factors with pathological complete response (pCR) (primary) and survival (secondary) endpoints were analyzed using statistical mediation and moderation models. RESULTS Eight hundred and sixty-four patients received neoadjuvant nab-paclitaxel (n= 437) or sb-paclitaxel (n = 427); nab-paclitaxel was superior for pCR (20.8% versus 12.9%, P = 0.002). pCR was higher for RS >25 versus RS ≤25 (16.0% versus 8.4%, P = 0.021) and for ET non-response versus ET response (15.1% versus 6.0%, P = 0.027); no factors were predictive for the relative efficacy of nab-paclitaxel versus sb-paclitaxel. Patients with pCR had longer distant disease-free survival [dDFS; hazard ratio 0.42, 95% confidence interval (CI) 0.20-0.91, P = 0.024]. Despite favorable prognostic association of RS >25 versus RS ≤25 with pCR (odds ratio 3.11, 95% CI 1.71-5.63, P ≤ 0.001), higher RS was unfavorably associated with dDFS (hazard ratio 1.03, 95% CI 1.01-1.05, P = 0.010). CONCLUSIONS In high-risk HR+/HER2- EBC, neoadjuvant nab-paclitaxel q1w appears superior to sb-paclitaxel q2w regarding pCR. Combining RS and ET response assessment appears to select patients with highest pCR rates. The disadvantage of higher RS for dDFS is reduced in patients with pCR. These are the first results from a large neoadjuvant randomized trial supporting the use of RS to help select patients for neoadjuvant chemotherapy in high-risk HR+/HER2- EBC.
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Affiliation(s)
- O Gluz
- West German Study Group, Moenchengladbach; Breast Center Niederrhein, Ev. Hospital Bethesda, Moenchengladbach; University Clinics Cologne, Cologne.
| | - S Kuemmel
- West German Study Group, Moenchengladbach; Breast Unit, Kliniken Essen-Mitte, Essen; Department of Gynecology with Breast Center, Charité - Universitätsmedizin Berlin, Berlin
| | - U Nitz
- West German Study Group, Moenchengladbach; Breast Center Niederrhein, Ev. Hospital Bethesda, Moenchengladbach
| | - M Braun
- Breast Center, Rotkreuz Clinics Munich, Munich
| | - K Lüdtke-Heckenkamp
- Department of Oncology and Hematology, Niels Stensen-Kliniken, Georgsmarienhütte
| | - R von Schumann
- Breast Center Niederrhein, Ev. Hospital Bethesda, Moenchengladbach
| | - M Darsow
- Breast Center, Luisenhospital, Duesseldorf; Practice for Senologic Oncology, Duesseldorf
| | | | | | - C Uleer
- Frauenaerzte am Bahnhofsplatz, Practice of Gynecology and Oncology, Hildesheim
| | - E M Grischke
- Women's Clinic, University Clinics Tuebingen, Tuebingen
| | - B Aktas
- Women's Clinic, University Clinics Essen, Essen; University Clinics Leipzig, Women's Clinic, Leipzig
| | - C Schumacher
- Breast Center, St. Elisabeth Hospital Cologne, Cologne
| | - C Zu Eulenburg
- West German Study Group, Moenchengladbach; Department of Medical Biometry and Epidemiology, University Medical Center Hamburg, Hamburg
| | - R Kates
- West German Study Group, Moenchengladbach
| | - K Jóźwiak
- Institute of Biostatistics and Registry Research, Brandenburg Medical School Theodor Fontane, Neuruppin
| | - M Graeser
- West German Study Group, Moenchengladbach; Breast Center Niederrhein, Ev. Hospital Bethesda, Moenchengladbach; Department of Gynecology, University Medical Center Hamburg, Hamburg
| | - R Wuerstlein
- West German Study Group, Moenchengladbach; Breast Center, Department of Gynecology and Obstetrics and CCC Munich, LMU University Hospital, Munich, Germany
| | | | - M Christgen
- Institute of Pathology, Medical School Hannover, Hannover, Germany
| | - H H Kreipe
- Institute of Pathology, Medical School Hannover, Hannover, Germany
| | - N Harbeck
- West German Study Group, Moenchengladbach; Breast Center, Department of Gynecology and Obstetrics and CCC Munich, LMU University Hospital, Munich, Germany
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10
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Reinisch M, Untch M, Mahlberg R, Reimer T, Hitschold T, Marmé F, Aydogdu M, Schmatloch S, Lück HJ, Schmidt M, Ladda E, Sinn BV, Klare P, Janni W, Jackisch C, Denkert C, Seiler S, Göhler T, Michel L, Burchardi N, Stickeler E, Rey J, Klutinus N, Möbus V, Loibl S. Subcutaneous injection of trastuzumab into the thigh versus abdominal wall in patients with HER2-positive early breast cancer: Pharmacokinetic, safety and patients' preference - Substudy of the randomised phase III GAIN-2 study. Breast 2022; 66:110-117. [PMID: 36223695 PMCID: PMC9563210 DOI: 10.1016/j.breast.2022.10.002] [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: 08/04/2022] [Revised: 09/29/2022] [Accepted: 10/04/2022] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Trastuzumab given intravenously in combination with chemotherapy is standard of care for patients with early HER2-positive breast cancer (BC). Different randomised studies have shown equivalent efficacy of a subcutaneous injection into the thigh compared to the intravenous formulation. Other body regions for injection have not been investigated but might be more convenient for patients. METHODS After surgery, patients were randomised to receive either subcutaneous trastuzumab into the thigh or into the abdominal wall (AW). Patient preferences were evaluated using validated questionnaires (PINT). Primary objectives of this multicentre, non-blinded, randomised substudy of the GAIN-2 study were to investigate pharmacokinetics of the injection into the thigh versus AW and to determine patients' preferences of either administration site versus the previously received intravenous application. RESULTS 226 patients were randomised and 219 patients (thigh: N = 110; AW: N = 109) formed the modified intent-to-treat (mITT). Overall, 83.5% (out of N = 182 with information about patients' preference) preferred subcutaneous over previous intravenous application or had no preference. Preference was similar between both administration sites (thigh: 80.6%; AW: 86.5; p = 0.322). Pharmacokinetic analysis included 30 patients. Geometric means of Cmax and AUC0-21d were higher in thigh than in AW group (geometric mean ratio with body weight adjustment: Cmax: 1.291, 90%-CI 1.052-1.584; AUC0-21d: 1.291, 90%-CI 1.026-1.626). Safety profile was in line with previous reports of subcutaneous trastuzumab. CONCLUSION Subcutaneous trastuzumab into the thigh showed an approximately 30% higher bioavailability. Injections were well tolerated and preferred over intravenous administration. The subcutaneous injection into the thigh should remain the standard of care.
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Affiliation(s)
- Mattea Reinisch
- Interdisciplinary Breast Unit, Kliniken Essen-Mitte, Essen, Germany
| | - Michael Untch
- Department of Gynaecology and Obstetrics, Breast Cancer and Gynecologic Oncology Center, HELIOS Klinikum Berlin Buch, Germany
| | - Rolf Mahlberg
- Klinikum Mutterhaus der Borromäerinnen, Trier, Germany
| | - Toralf Reimer
- Universitätsfrauenklinik und Poliklinik Am Klinikum Südstadt Rostock, Germany
| | | | - Frederik Marmé
- Department of Gynaecology and Obstetrics, University Hospital Mannheim, Germany
| | | | | | | | - Marcus Schmidt
- Department of Obstetrics and Gynaecology, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | | | | | - Peter Klare
- Praxisklinik Krebsheilkunde für Frauen Berlin, Germany
| | | | | | | | | | - Thomas Göhler
- Fachärzte für Innere Medizin, Hämatologie und Internistische Onkologie, Onkozentrum Dresden, Germany
| | - Laura Michel
- National Center for Tumour Diseases, University Hospital and German Cancer Research Center, Heidelberg, Germany
| | | | | | - Julia Rey
- German Breast Group, Neu-Isenburg, Germany
| | - Nicole Klutinus
- HELIOS Klinikum Pforzheim GmbH Brustzentrum, Pforzheim, Germany
| | - Volker Möbus
- Department of Medicine II, Haematology & Oncology, University of Frankfurt, Germany
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