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Triple negative breast cancer (TNBC) is a heterogeneous disease with distinct molecular subtypes that differentially respond to chemotherapy and targeted agents. The purpose of this study is to explore the clinical relevance of Lehmann TNBC subtypes by identifying any differences in response to neoadjuvant chemotherapy among them. We determined Lehmann subtypes by gene expression profiling in paraffined pre-treatment tumor biopsies from 125 TNBC patients treated with neoadjuvant anthracyclines and/or taxanes +/- carboplatin. We explored the clinicopathological characteristics of Lehmann subtypes and their association with the pathologic complete response (pCR) to different treatments. The global pCR rate was 37%, and it was unevenly distributed within Lehmann's subtypes. Basal-like 1 (BL1) tumors exhibited the highest pCR to carboplatin containing regimens (80% vs 23%, p=0.027) and were the most proliferative (Ki-67>50% of 88.2% vs. 63.7%, p=0.02). Luminal-androgen receptor (LAR) patients achieved the lowest pCR to all treatments (14.3% vs 42.7%, p=0.045 when excluding mesenchymal stem-like (MSL) samples) and were the group with the lowest proliferation (Ki-67≤50% of 71% vs 27%, p=0.002). In our cohort, only tumors with LAR phenotype presented non-basal-like intrinsic subtypes (HER2-enriched and luminal A). TNBC patients present tumors with a high genetic diversity ranging from highly proliferative tumors, likely responsive to platinum-based therapies, to a subset of chemoresistant tumors with low proliferation and luminal characteristics.
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http://dx.doi.org/10.18632/oncotarget.25413 | DOI Listing |
J Pathol
September 2025
Sidney Kimmel Comprehensive Cancer Center and Department of Oncology, Johns Hopkins University, Baltimore, MD, USA.
Triple-negative breast cancer (TNBC) lacks expression of estrogen receptor (ER), progesterone receptor (PR), and HER2, and remains one of the most aggressive and therapeutically challenging breast cancer subtypes, marked by early relapse, metastasis, and limited targeted treatment options. In a recent study published in The Journal of Pathology, Kuo et al provide compelling evidence that nicotine exposure, whether from tobacco smoke or e-cigarette vapor, drives TNBC progression by promoting stem-like and metastatic phenotypes. Integrating clinical datasets, patient tissues, cell lines, and in vivo models, the authors demonstrate that nicotine enhances tumor aggressiveness via coordinated upregulation of CHRNA9 and IGF1R.
View Article and Find Full Text PDFFEBS Lett
September 2025
Department of Translational Medicine, University of Ferrara, Italy.
This study, based on datasets from healthy tissues, lactating mammary epithelial cells, and breast cancer phenotypes, investigates mammary gland pathophysiology at single-cell resolution to identify key regulators in breast cancer development and to gain a deeper understanding of its biology and heterogeneity. We suggest that antileukoproteinase (SLPI) has prognostic value associated with metastasis in basal breast cancers. Our analysis highlights the similarity between triple-negative breast cancer cells and mature luminal lactocytes, which share active regulons (SOX2, MTHFD1, POU4F3, and ZNF32), suggesting conserved molecular mechanisms.
View Article and Find Full Text PDFJ Environ Pathol Toxicol Oncol
September 2025
Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing 210009, China.
Noncoding RNA regulatory networks play crucial roles in human breast cancer. The aim of this study was to establish a network containing multi-type RNAs and RBPs in triple-negative breast cancer (TNBC). Differential expression analyses of lncRNAs, miRNAs, and genes were performed using the GEO2R tool.
View Article and Find Full Text PDFJ Ultrasound Med
September 2025
Department of Ultrasound, Donghai Hospital Affiliated to Kangda College of Nanjing Medical University, Lianyungang, China.
Objective: The aim of this study is to evaluate the prognostic performance of a nomogram integrating clinical parameters with deep learning radiomics (DLRN) features derived from ultrasound and multi-sequence magnetic resonance imaging (MRI) for predicting survival, recurrence, and metastasis in patients diagnosed with triple-negative breast cancer (TNBC) undergoing neoadjuvant chemotherapy (NAC).
Methods: This retrospective, multicenter study included 103 patients with histopathologically confirmed TNBC across four institutions. The training group comprised 72 cases from the First People's Hospital of Lianyungang, while the validation group included 31 cases from three external centers.
Biomacromolecules
September 2025
State Key Laboratory of Molecular Engineering of Polymers, Department of Macromolecular Science, Fudan University, Shanghai 200433, China.
Triple-negative breast cancer (TNBC) remains a formidable clinical challenge due to its aggressive behavior, lack of therapeutic targets, and poor prognosis. The PI3K/AKT/mTOR pathway is highly activated in TNBC, making it a promising therapeutic target. Conventional PEGylated nanocarriers often face challenges, such as accelerated blood clearance and lysosomal trapping.
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