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Zheng H, Wu L, Chen J, Na N, Lou G. Neoadjuvant nivolumab plus bevacizumab therapy improves the prognosis of triple-negative breast cancer in humanized mouse models. Breast Cancer 2024; 31:371-381. [PMID: 38289410 DOI: 10.1007/s12282-024-01543-z] [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: 08/26/2023] [Accepted: 01/02/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND The combination of immune checkpoint inhibitors and anti-angiogenic agents has been proposed as a promising strategy to improve the outcome of advanced triple-negative breast cancer (TNBC). However, further investigation is warranted to elucidate the specific mechanisms underlying the effects of combination therapy and its potential as neoadjuvant therapy for early-stage TNBC. METHODS In this study, we constructed humanized mouse models by engrafting the human immune system into severely immunodeficient mice and subsequently implanting TNBC cells into the model. The mice were treated with neoadjuvant combination therapy (bevacizumab combined with nivolumab), followed by in vivo imaging system to assess tumor recurrence and metastasis after surgery. The immune microenvironment of tumors was analyzed to investigate the potential mechanisms. Furthermore, we verified the impact of extending the interval before surgery or administering adjuvant therapy after neoadjuvant therapy on the prognosis of mice. RESULTS Neoadjuvant combination therapy significantly inhibited tumor growth, prevented recurrence and metastasis by normalizing tumor vessels and inducing robust CD8+ T cell infiltration and activation in primary tumors (p < 0.001). In vivo experiments demonstrated that prolonging the interval before surgery or administering adjuvant therapy after neoadjuvant therapy did not enhance its efficacy. CONCLUSION The preclinical study has demonstrated the therapeutic efficacy and mechanism of neoadjuvant combination therapy (nivolumab plus bevacizumab) in treating early TNBC.
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Affiliation(s)
- Hongyan Zheng
- Department of Pathology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000, China
| | - Lihua Wu
- Department of Pathology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000, China
| | - Jianfeng Chen
- Laboratory Animal Center, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000, China
| | - Na Na
- Department of Pathology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000, China
| | - Ge Lou
- Department of Pathology, The Second Affiliated Hospital of Harbin Medical University, Harbin, 150000, China.
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Barrientos-Toro EN, Ding Q, Raso MG. Translational Aspects in Metaplastic Breast Carcinoma. Cancers (Basel) 2024; 16:1433. [PMID: 38611109 PMCID: PMC11011105 DOI: 10.3390/cancers16071433] [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: 02/06/2024] [Revised: 03/18/2024] [Accepted: 03/22/2024] [Indexed: 04/14/2024] Open
Abstract
Breast cancer is the most common cancer among women. Metaplastic breast carcinoma (MpBC) is a rare, heterogeneous group of invasive breast carcinomas, which are classified as predominantly triple-negative breast carcinomas (TNBCs; HR-negative/HER2-negative). Histologically, MpBC is classified into six subtypes. Two of these are considered low-grade and the others are high-grade. MpBCs seem to be more aggressive, less responsive to neoadjuvant chemotherapy, and have higher rates of chemoresistance than other TNBCs. MpBCs have a lower survival rate than expected for TNBCs. MpBC treatment represents a challenge, leading to a thorough exploration of the tumor immune microenvironment, which has recently opened the possibility of new therapeutic strategies. The epithelial-mesenchymal transition in MpBC is characterized by the loss of intercellular adhesion, downregulation of epithelial markers, underexpression of genes with biological epithelial functions, upregulation of mesenchymal markers, overexpression of genes with biological mesenchymal functions, acquisition of fibroblast-like (spindle) morphology, cytoskeleton reorganization, increased motility, invasiveness, and metastatic capabilities. This article reviews and summarizes the current knowledge and translational aspects of MpBC.
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Affiliation(s)
- Elizve Nairoby Barrientos-Toro
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Qingqing Ding
- Department of Anatomical Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
| | - Maria Gabriela Raso
- Department of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA;
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Wang G, Sun X, Ren X, Wang M, Wang Y, Zhang S, Li J, Lu W, Zhang B, Chen P, Shi Z, Liu L, Zhuang J. Establishment of prognostic model for postoperative patients with metaplastic breast cancer: Based on a retrospective large data analysis and Chinese multicenter study. Front Genet 2022; 13:993116. [PMID: 36092916 PMCID: PMC9454815 DOI: 10.3389/fgene.2022.993116] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 08/05/2022] [Indexed: 12/02/2022] Open
Abstract
Purpose: Models for predicting postoperative overall survival of patients with metaplastic breast cancer have not yet been discovered. The purpose of this study is to establish a model for predicting postoperative overall survival of metaplastic breast cancer patients. Methods: Patients in the Surveillance, Epidemiology, and End Results database diagnosed with MBC from 2010 to 2015 were selected and randomized into a SEER training cohort and an internal validation cohort. We identified independent prognostic factors after MBC surgery based on multivariate Cox regression analysis to construct nomograms. The discriminative and predictive power of the nomogram was assessed using Harrell’s consistency index (C-index) and calibration plots. The decision curve analysis (DCA) was used to evaluate the clinical usefulness of the model. We verify the performance of the prediction model with a Chinese multi-center data set. Results: Multifactorial analysis showed that age at diagnosis, T stage, N stage, M stage, tumor size, radiotherapy, and chemotherapy were important prognostic factors affecting OS. The C-index of nomogram was higher than the eighth edition of the AJCC TNM grading system in the SEER training set and validation set. The calibration chart showed that the survival rate predicted by the nomogram is close to the actual survival rate. It has also been verified in the SEER internal verification set and the Chinese multi-center data set. Conclusion: The prognostic model can accurately predict the post-surgical OS rate of patients with MBC and can provide a reference for doctors and patients to establish treatment plans.
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Affiliation(s)
- Ge Wang
- Clinical Medical Colleges, Weifang Medical University, Weifang, China
| | - Xiaomin Sun
- Clinical Medical Colleges, Weifang Medical University, Weifang, China
| | - Xin Ren
- Clinical Medical Colleges, Weifang Medical University, Weifang, China
| | - Mengmeng Wang
- Clinical Medical Colleges, Weifang Medical University, Weifang, China
| | - Yongsheng Wang
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Shukun Zhang
- Department of Pathology, Weihai Municipal Hospital, Cheeloo College of Medicine, Shandong University, Weihai, China
| | - Jingye Li
- Department of Oncology, Linyi Central Hospital, Linyi, China
| | - Wenping Lu
- Department of Oncology, Guang’ Anmen Hospital, China Academy of Chinese Medicine Sciences, Beijing, China
| | - Baogang Zhang
- Department of Pathology, Weifang Medical University, Weifang, China
| | - Pingping Chen
- Department of Pathology, The People’s Hospital of Rizhao, Rizhao, China
| | - Zhiqiang Shi
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Lijuan Liu
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, China
| | - Jing Zhuang
- Department of Oncology, Weifang Traditional Chinese Hospital, Weifang, China
- *Correspondence: Jing Zhuang,
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