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Shi Y, Lu H, Zhang Y. Impact of HER2 status on clinicopathological characteristics and pathological complete response to neoadjuvant chemotherapy in triple-negative breast cancer. Breast Cancer Res Treat 2024; 206:387-395. [PMID: 38658447 DOI: 10.1007/s10549-024-07317-7] [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: 12/12/2023] [Accepted: 03/22/2024] [Indexed: 04/26/2024]
Abstract
PURPOSE HER2-low triple-negative breast cancer (TNBC) accounted for up to 34%-39% of primary TNBC and 22.2%-32% of metastatic TNBC. Our study aims to explore the relationship between HER2 expression and clinicopathological characteristics, analyze the impact of HER2 expression on the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in TNBC. METHODS This study involved 191 patients with TNBC who underwent operation after NAC from October 2021 to August 2022. Clinicopathological characteristics and the frequency of pCR were compared between HER2-low and HER2-0 TNBC. RESULTS 42.2% (81/191) patients in our cohort were HER2-low. They exhibited differences in menopausal status, body mass index (BMI), androgen receptor (AR) expression, and histological grade (P < 0.05). Particularly, in HER2-low TNBC, AR was associated with tumor size, lymph node metastase, histological grade, and the incidence of multifocal disease (P < 0.05). The total pCR rate of entire cohor was 39.8%. Tumor size (P = 0.025), AR status (P = 0.033) and histological grade (P = 0.007) were significantly associated with the pCR rate of them, while the HER2 status did not exert a similar association. The multivariate analysis revealed that BMI (P = 0.004) and histological grade (P < 0.001) were associated with pCR of HER2-low TNBC, while tumor size (P = 0.034) and AR (P = 0.034) were associated with pCR of HER2-0 TNBC, respectively. CONCLUSIONS In our cohort, HER2-low TNBC patients exhibits specific clinical characteristics and response features to NAC.
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Affiliation(s)
- Yue Shi
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 110001, Liaoning, People's Republic of China
| | - Heng Lu
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 110001, Liaoning, People's Republic of China
| | - Yiqi Zhang
- The First Affiliated Hospital of Jinzhou Medical University, Jinzhou, 110001, Liaoning, People's Republic of China.
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Teufelsbauer M, Stickler S, Eggerstorfer MT, Hammond DC, Hamilton G. BET-directed PROTACs in triple negative breast cancer cell lines MDA-MB-231 and MDA-MB-436. Breast Cancer Res Treat 2024:10.1007/s10549-024-07403-w. [PMID: 38896334 DOI: 10.1007/s10549-024-07403-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 06/09/2024] [Indexed: 06/21/2024]
Abstract
PURPOSE This study aims to find whether the proliferation and migration of triple negative breast cancer (TNBC) cell lines can be reduced by treatment with bromodomain and extra-terminal domain (BET) inhibitor JQ1 and BET protein targeting chimeras (PROTACs) ARV-771 and MZ1. METHODS Cytotoxicity tests, scratch migration assays and western blot proteome profiler arrays for protein expression of cancer-related proteins were used to evaluate the impact of a BET-inhibitor and two BET-directed PROTACs on cell viability, migration and on protein expression. RESULTS JQ1 and the PROTACs MZ1 and ARV-771 significantly inhibited the growth and migration of the KRAS G13D-mutated MDA-MB-231 cells. In this cell line, the PROTACs suppressed the residual expression of ERBB2/HER2, 3 and 4 that are essential for the proliferation of breast cancer cells and this cell line proved sensitive to HER2 inhibitors. In contrast, the effects of the PROTACs on the protein expression of MDA-MB-436 cells mostly affected cytokines and their cognate receptors. CONCLUSION The degradation of BET-protein by PROTACs demonstrated significant anti-proliferative effects. The KRAS-mutated MDA-MB-231 cells belong to the low-HER2 expressing tumors that have a poorer prognosis compared to HER2-null patients. Since first oral PROTACs against tumor hormone receptors are in clinical trials, this mode of tumor therapy is expected to become an important therapeutic strategy in the future treatment of TNBC.
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Affiliation(s)
- Maryana Teufelsbauer
- Clinics of Plastic and Reconstructive Surgery, Medical University of Vienna, Vienna, Austria
| | - Sandra Stickler
- Institute of Pharmacology, Medical University of Vienna, Vienna, Austria
| | | | | | - Gerhard Hamilton
- Institute of Pharmacology, Medical University of Vienna, Vienna, Austria.
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Cao Y, Meng F, Cai T, Gao L, Lee J, Solomevich SO, Aharodnikau UE, Guo T, Lan M, Liu F, Li Q, Viktor T, Li D, Cai Y. Nanoparticle drug delivery systems responsive to tumor microenvironment: Promising alternatives in the treatment of triple-negative breast cancer. WILEY INTERDISCIPLINARY REVIEWS. NANOMEDICINE AND NANOBIOTECHNOLOGY 2024; 16:e1950. [PMID: 38528388 DOI: 10.1002/wnan.1950] [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: 10/31/2023] [Revised: 02/04/2024] [Accepted: 02/11/2024] [Indexed: 03/27/2024]
Abstract
The conventional therapeutic treatment of triple-negative breast cancer (TNBC) is negatively influenced by the development of tumor cell drug resistant, and systemic toxicity of therapeutic agents due to off-target activity. In accordance with research findings, nanoparticles (NPs) responsive to the tumor microenvironment (TME) have been discovered for providing opportunities to selectively target tumor cells via active targeting or Enhanced Permeability and Retention (EPR) effect. The combination of the TME control and therapeutic NPs offers promising solutions for improving the prognosis of the TNBC because the TME actively participates in tumor growth, metastasis, and drug resistance. The NP-based systems leverage stimulus-responsive mechanisms, such as low pH value, hypoxic, excessive secretion enzyme, concentration of glutathione (GSH)/reactive oxygen species (ROS), and high concentration of Adenosine triphosphate (ATP) to combat TNBC progression. Concurrently, NP-based stimulus-responsive introduces a novel approach for drug dosage design, administration, and modification of the pharmacokinetics of conventional chemotherapy and immunotherapy drugs. This review provides a comprehensive examination of the strengths, limitations, applications, perspectives, and future expectations of both novel and traditional stimulus-responsive NP-based drug delivery systems for improving outcomes in the medical practice of TNBC. This article is categorized under: Therapeutic Approaches and Drug Discovery > Emerging Technologies Nanotechnology Approaches to Biology > Nanoscale Systems in Biology Therapeutic Approaches and Drug Discovery > Nanomedicine for Oncologic Disease.
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Affiliation(s)
- Ye Cao
- State Key Laboratory of Bioactive Molecules and Druggability Assessment/International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China/Guangdong Key Lab of Traditional Chinese Medicine Informatization/International Science and Technology Cooperation Base of Guangdong Province/School of Pharmacy, Jinan University, Guangzhou, China
| | - Fansu Meng
- Zhongshan Hospital of Traditional Chinese Medicine Affiliated to Guangzhou University of Traditional Chinese Medicine, Zhongshan, China
| | - Tiange Cai
- College of Life Sciences, Liaoning University, Shenyang, China
| | - Lanwen Gao
- State Key Laboratory of Bioactive Molecules and Druggability Assessment/International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China/Guangdong Key Lab of Traditional Chinese Medicine Informatization/International Science and Technology Cooperation Base of Guangdong Province/School of Pharmacy, Jinan University, Guangzhou, China
| | - Jaiwoo Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, Republic of Korea
| | - Sergey O Solomevich
- Research Institute for Physical Chemical Problems of the Belarusian State University, Minsk, Belarus
| | - Uladzislau E Aharodnikau
- Research Institute for Physical Chemical Problems of the Belarusian State University, Minsk, Belarus
| | - Tingting Guo
- State Key Laboratory of Bioactive Molecules and Druggability Assessment/International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China/Guangdong Key Lab of Traditional Chinese Medicine Informatization/International Science and Technology Cooperation Base of Guangdong Province/School of Pharmacy, Jinan University, Guangzhou, China
| | - Meng Lan
- State Key Laboratory of Bioactive Molecules and Druggability Assessment/International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China/Guangdong Key Lab of Traditional Chinese Medicine Informatization/International Science and Technology Cooperation Base of Guangdong Province/School of Pharmacy, Jinan University, Guangzhou, China
| | - Fengjie Liu
- State Key Laboratory of Bioactive Molecules and Druggability Assessment/International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China/Guangdong Key Lab of Traditional Chinese Medicine Informatization/International Science and Technology Cooperation Base of Guangdong Province/School of Pharmacy, Jinan University, Guangzhou, China
| | - Qianwen Li
- State Key Laboratory of Bioactive Molecules and Druggability Assessment/International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China/Guangdong Key Lab of Traditional Chinese Medicine Informatization/International Science and Technology Cooperation Base of Guangdong Province/School of Pharmacy, Jinan University, Guangzhou, China
| | - Timoshenko Viktor
- Faculty of Physics, Lomonosov Moscow State University, Moscow, Russia
| | - Detang Li
- The First Clinical Medical School of Guangzhou University of Chinese Medicine/Department of Pharmacy, The First Affiliated Hospital of Guangzhou University of Chinese Medicine/Guangdong Clinical Research Academy of Chinese Medicine, Guangzhou, China
| | - Yu Cai
- State Key Laboratory of Bioactive Molecules and Druggability Assessment/International Cooperative Laboratory of Traditional Chinese Medicine Modernization and Innovative Drug Development of Ministry of Education (MOE) of China/Guangdong Key Lab of Traditional Chinese Medicine Informatization/International Science and Technology Cooperation Base of Guangdong Province/School of Pharmacy, Jinan University, Guangzhou, China
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Wilkerson AD, Parthasarathy PB, Stabellini N, Mitchell C, Pavicic PG, Fu P, Rupani A, Husic H, Rayman PA, Swaidani S, Abraham J, Budd GT, Moore H, Al-Hilli Z, Ko JS, Baar J, Chan TA, Alban T, Diaz-Montero CM, Montero AJ. Phase II Clinical Trial of Pembrolizumab and Chemotherapy Reveals Distinct Transcriptomic Profiles by Radiologic Response in Metastatic Triple-Negative Breast Cancer. Clin Cancer Res 2024; 30:82-93. [PMID: 37882661 PMCID: PMC10767305 DOI: 10.1158/1078-0432.ccr-23-1349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 08/28/2023] [Accepted: 10/24/2023] [Indexed: 10/27/2023]
Abstract
PURPOSE A single arm, phase II trial of carboplatin, nab-paclitaxel, and pembrolizumab (CNP) in metastatic triple-negative breast cancer (mTNBC) was designed to evaluate overall response rate (ORR), progression-free survival (PFS), duration of response (DOR), safety/tolerability, overall survival (OS), and identify pathologic and transcriptomic correlates of response to therapy. PATIENTS AND METHODS Patients with ≤2 prior therapies for metastatic disease were treated with CNP regardless of tumor programmed cell death-ligand 1 status. Core tissue biopsies were obtained prior to treatment initiation. ORR was assessed using a binomial distribution. Survival was analyzed via the Kaplan-Meier method. Bulk RNA sequencing was employed for correlative studies. RESULTS Thirty patients were enrolled. The ORR was 48.0%: 2 (7%) complete responses (CR), 11 (41%) partial responses (PR), and 8 (30%) stable disease (SD). The median DOR for patients with CR or PR was 6.4 months [95% confidence interval (CI), 4-8.5 months]. For patients with CR, DOR was >24 months. Overall median PFS and OS were 5.8 (95% CI, 4.7-8.5 months) and 13.4 months (8.9-17.3 months), respectively. We identified unique transcriptomic landscapes associated with each RECIST category of radiographic treatment response. In CR and durable PR, IGHG1 expression was enriched. IGHG1high tumors were associated with improved OS (P = 0.045) and were concurrently enriched with B cells and follicular helper T cells, indicating IGHG1 as a promising marker for lymphocytic infiltration and robust response to chemo-immunotherapy. CONCLUSIONS Pretreatment tissue sampling in mTNBC treated with CNP reveals transcriptomic signatures that may predict radiographic responses to chemo-immunotherapy.
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Affiliation(s)
- Avia D. Wilkerson
- Cleveland Clinic Lerner Research Institute, Center for Immunotherapy & Precision Immuno-Oncology, Cleveland, Ohio
- Cleveland Clinic Digestive Disease & Surgery Institute, Department of General Surgery, Cleveland, Ohio
| | | | - Nickolas Stabellini
- Graduate Education Office, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Carley Mitchell
- University Hospitals Cleveland Medical Center, Department of Internal Medicine, Cleveland, Ohio
| | - Paul G. Pavicic
- Cleveland Clinic Lerner Research Institute, Center for Immunotherapy & Precision Immuno-Oncology, Cleveland, Ohio
| | - Pingfu Fu
- Case Western Reserve University, Department of Population and Quantitative Health Sciences, Cleveland, Ohio
| | - Amit Rupani
- Cleveland Clinic Lerner Research Institute, Center for Immunotherapy & Precision Immuno-Oncology, Cleveland, Ohio
| | - Hana Husic
- Cleveland Clinic Lerner Research Institute, Center for Immunotherapy & Precision Immuno-Oncology, Cleveland, Ohio
| | - Patricia A. Rayman
- Cleveland Clinic Lerner Research Institute, Center for Immunotherapy & Precision Immuno-Oncology, Cleveland, Ohio
| | - Shadi Swaidani
- Cleveland Clinic Lerner Research Institute, Center for Immunotherapy & Precision Immuno-Oncology, Cleveland, Ohio
| | - Jame Abraham
- Cleveland Clinic Department of Hematology and Medical Oncology, Taussig Cancer Center, Cleveland, Ohio
| | - G. Thomas Budd
- Cleveland Clinic Department of Hematology and Medical Oncology, Taussig Cancer Center, Cleveland, Ohio
| | - Halle Moore
- Cleveland Clinic Department of Hematology and Medical Oncology, Taussig Cancer Center, Cleveland, Ohio
| | - Zahraa Al-Hilli
- Cleveland Clinic Digestive Disease & Surgery Institute, Department of General Surgery, Cleveland, Ohio
| | - Jennifer S. Ko
- Cleveland Clinic Pathology & Laboratory Medicine, Department of Anatomic Pathology, Cleveland, Ohio
| | - Joseph Baar
- University Hospitals/Seidman Cancer Center Case Western Reserve University, Cleveland, Ohio
| | - Timothy A. Chan
- Cleveland Clinic Lerner Research Institute, Center for Immunotherapy & Precision Immuno-Oncology, Cleveland, Ohio
| | - Tyler Alban
- Cleveland Clinic Lerner Research Institute, Center for Immunotherapy & Precision Immuno-Oncology, Cleveland, Ohio
| | - C. Marcela Diaz-Montero
- Cleveland Clinic Lerner Research Institute, Center for Immunotherapy & Precision Immuno-Oncology, Cleveland, Ohio
| | - Alberto J. Montero
- University Hospitals/Seidman Cancer Center Case Western Reserve University, Cleveland, Ohio
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Liu X, Yi J, Li T, Wen J, Huang K, Liu J, Wang G, Kim P, Song Q, Zhou X. DRMref: comprehensive reference map of drug resistance mechanisms in human cancer. Nucleic Acids Res 2024; 52:D1253-D1264. [PMID: 37986230 PMCID: PMC10767840 DOI: 10.1093/nar/gkad1087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/18/2023] [Accepted: 10/30/2023] [Indexed: 11/22/2023] Open
Abstract
Drug resistance poses a significant challenge in cancer treatment. Despite the initial effectiveness of therapies such as chemotherapy, targeted therapy and immunotherapy, many patients eventually develop resistance. To gain deep insights into the underlying mechanisms, single-cell profiling has been performed to interrogate drug resistance at cell level. Herein, we have built the DRMref database (https://ccsm.uth.edu/DRMref/) to provide comprehensive characterization of drug resistance using single-cell data from drug treatment settings. The current version of DRMref includes 42 single-cell datasets from 30 studies, covering 382 samples, 13 major cancer types, 26 cancer subtypes, 35 treatment regimens and 42 drugs. All datasets in DRMref are browsable and searchable, with detailed annotations provided. Meanwhile, DRMref includes analyses of cellular composition, intratumoral heterogeneity, epithelial-mesenchymal transition, cell-cell interaction and differentially expressed genes in resistant cells. Notably, DRMref investigates the drug resistance mechanisms (e.g. Aberration of Drug's Therapeutic Target, Drug Inactivation by Structure Modification, etc.) in resistant cells. Additional enrichment analysis of hallmark/KEGG (Kyoto Encyclopedia of Genes and Genomes)/GO (Gene Ontology) pathways, as well as the identification of microRNA, motif and transcription factors involved in resistant cells, is provided in DRMref for user's exploration. Overall, DRMref serves as a unique single-cell-based resource for studying drug resistance, drug combination therapy and discovering novel drug targets.
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Affiliation(s)
- Xiaona Liu
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jiahao Yi
- Bioinformatics and Biomedical Big Data Mining Laboratory, Department of Medical Informatics, School of Big Health, Guizhou Medical University, Guiyang 550025, China
| | - Tina Li
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Jianguo Wen
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Kexin Huang
- West China Biomedical Big Data Centre, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Jiajia Liu
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Grant Wang
- Department of Bioengineering, Rice University, Houston, TX 77005, USA
| | - Pora Kim
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
| | - Qianqian Song
- Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Xiaobo Zhou
- Center for Computational Systems Medicine, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA
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