Xingda Zhang

iRGD-engineered exosomes mediate siMYC delivery for effective tumor suppression in triple-negative breast cancer

Hui Li, Weiguang Yuan, Jialin Liu, Yingjie Wang et autres

, iRGD-Exos-siMYC exhibited superior tumor-targeting capability, effectively inhibiting tumor growth and significantly downregulating MYC expression. Moreover, biosafety evaluations confirmed that iRGD-Exos-siMYC possesses good biosafety. This study demonstrated that iRGD-modified exosomes can effectively deliver siMYC to TNBC cells, enhancing gene silencing and antitumor …

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Integrating ctDNA Dynamics and Sequential Organoid Drug Screening Enhances Breast Cancer Treatment Efficacy

Jialin Liu, Fang Fang, Weiguang Yuan, Tao Chen et autres

Dynamic changes in ctDNA variant allele frequency reflect real-time therapeutic efficacy. Timely treatment modification guided by ctDNA variant allele frequency may enable precision selection of optimized regimens to counteract evolving resistance in breast cancer. In this study, we developed a therapeutic approach …

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An Approach for Differential Diagnosis of Breast Tumors by ctDNA Methylation Sequencing

Xianyu Zhang, Yanling Yin, Zhujia Ye, Xingda Zhang et autres

BACKGROUND: Breast ultrasonography and mammography remain predominant in breast tumor evaluations, yet they often result in false positives, particularly for tumors classified as BI-RADS 4a or those no more than 10 mm, which are not ideal for core needle biopsy (CNB). Early-stage …

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Developing and Evaluating a Nomogram Model Predicting Axillary Lymph Node Metastasis of Triple-Negative Breast Cancer Based on Multimodal Imaging Characteristics

Xing‐Yuan Liu, Xingda Zhang, Yang Wang, Xiaoying Cheng et autres

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Personalized predictions of neoadjuvant chemotherapy response in breast cancer using machine learning and full-field digital mammography radiomics

Ye Chun Ruan, Xing‐Yuan Liu, Mingming Zhao, Xingda Zhang et autres

Objective This study aimed to develop a comprehensive nomogram model by integrating clinical pathological and full-field digital mammography (FFDM) radiomic features to predict the efficacy of neoadjuvant chemotherapy (NAC) in breast cancer patients, thereby providing personalized treatment recommendations. Methods A retrospective analysis …

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FTO activates PD-L1 promotes immunosuppression in breast cancer via the m6A/YTHDF3/PDK1 axis under hypoxic conditions

Xingda Zhang, Quanrun Chen, Hao Wu, Shihan Cao et autres

INTRODUCTION: Altered epigenetic reprogramming enables breast cancer cells to adapt to hypoxic stress. Hypoxic microenvironment can alter immune cell infiltration and function, limiting the effectiveness of immunotherapy. OBJECTIVES: The study aimed to identify how fat mass and obesity-associated protein (FTO) helps breast …

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Sonocatalysis-responsive nanodrug platforms for radioimmunotherapy against breast cancer

Kun Qiao, Mingzhu Chen, Meng Lyu, Xingda Zhang et autres

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Metabolic reprogramming and therapeutic resistance in primary and metastatic breast cancer

Shan Ting Liu, Xingda Zhang, Wenzheng Wang, Xue Li et autres

Metabolic alterations, a hallmark of cancer, enable tumor cells to adapt to their environment by modulating glucose, lipid, and amino acid metabolism, which fuels rapid growth and contributes to treatment resistance. In primary breast cancer, metabolic shifts such as the Warburg effect …

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PSAT1 Promotes Metastasis via p-AKT/SP1/ITGA2 Axis in Estrogen Receptor-Negative Breast Cancer Cell

Xingda Zhang, Siyu Wang, Wei Li, Jianyu Wang et autres

BACKGROUND: Accumulating evidence indicates that PSAT1 not only reprogrammed metabolic function but also exhibits "moonlighting" functions in promoting tumor malignancy. However, the underlying molecular mechanisms of PSAT1 promoting ER-negative breast cancer cell migration need further investigation. METHODS: Briefly, the PSAT1 and ITGA2 …

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Precise subtyping reveals immune heterogeneity for hormone receptor-positive breast cancer

Mengyan Zhang, Xingda Zhang, Te Ma, Cong Wang et autres

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Revealing the Potential Markers of N(4)-Acetylcytidine through acRIP-seq in Triple-Negative Breast Cancer

Xingda Zhang, Jiaqi Zeng, Jianyu Wang, Zihan Yang et autres

Understanding the causes of tumorigenesis and progression in triple-receptor negative breast cancer (TNBC) can help the design of novel and personalized therapies and prognostic assessments. Abnormal RNA modification is a recently discovered process in TNBC development. TNBC samples from The Cancer Genome …

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Identification of cuproptosis-related patterns and construction of a scoring system for predicting prognosis, tumor microenvironment-infiltration characteristics, and immunotherapy efficacy in breast cancer

Wei Li, Xingda Zhang, Yanbo Chen, Da Pang

Background: Cuproptosis, a recently discovered refreshing form of cell death, is distinct from other known mechanisms. As copper participates in cell death, the induction of cancer cell death with copper ionophores may emerge as a new avenue for cancer treatment. However, the …

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