Article
Pharmacology & Pharmacy
Nageswara Rao Vysyaraju, Milan Paul, Ch Sanjay, Balaram Ghosh, Swati Biswas
Summary: A bioinspired/active-tumour targeted nanoparticles system of human serum albumin with physically entrapped olaparib showed promising therapeutic effectiveness in highly metastatic TNBC cells.
JOURNAL OF DRUG TARGETING
(2022)
Article
Biochemistry & Molecular Biology
Ying Fu, Shuyan Yang, Yuning Liu, Jian Liu, Qizhi Wang, Fengyan Li, Xiuzhuan Shang, Yuou Teng, Na Guo, Peng Yu
Summary: A novel nano-drug delivery system based on targeting ligand modified albumin is shown to inhibit tumor growth and metastasis, offering a promising chemotherapy approach.
MACROMOLECULAR BIOSCIENCE
(2022)
Article
Materials Science, Multidisciplinary
Qingxin Mu, Guanyou Lin, Mike Jeon, Hui Wang, Fei-Chien Chang, Richard A. Revia, John Yu, Miqin Zhang
Summary: This study presents a multifunctional nanoparticle formulation targeting TNBC cells and dendritic cells, inducing tumor apoptosis through multiple mechanisms and significantly inhibiting tumor growth and metastasis while extending survival in a drug-resistant mouse model of TNBC. The promising platform may substantially improve therapeutic efficacy for treating metastatic TNBC.
Article
Biochemistry & Molecular Biology
Kaushik Kuche, Vivek Yadav, M. Dharshini, Rohan Ghadi, Dasharath Chaudhari, Tushar Date, Sanyog Jain
Summary: This study investigates the synergistic effect of sorafenib and simvastatin in triggering ferroptosis for cancer therapy. The researchers developed bovine serum albumin nanoparticles loaded with both drugs and observed a significant reduction in tumor volume in in-vivo experiments. The study highlights the potential of this drug delivery system for inducing ferroptosis and improving therapeutic efficacy.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2023)
Article
Biochemistry & Molecular Biology
Milan Paul, Balaram Ghosh, Swati Biswas
Summary: Nanomedicines, as a potential strategy, can achieve localized drug delivery and reduce toxicity and side effects by targeting tumor tissues. The reduction-sensitive oxaliplatin-conjugated human serum albumin nanoparticles have shown effectiveness in active tumor targeting, enhancing cytotoxicity and inducing cell death compared to free Oxaliplatin.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2024)
Article
Oncology
Jung Sun Kim, Koung Jin Suh, Dae-Won Lee, Go-Un Woo, Miso Kim, Se Hyun Kim, Han Suk Ryu, Kyung-Hun Lee, Tae-Yong Kim, Sae-Won Han, So Yeon Park, In Ae Park, Jee Hyun Kim, Seock-Ah Im
Summary: This study aimed to assess the real-world efficacy of nab-paclitaxel in metastatic breast cancer patients. The results showed that nab-paclitaxel is a reasonable treatment option for heavily pre-treated and/or taxane-exposed patients with metastatic breast cancer.
CANCER RESEARCH AND TREATMENT
(2022)
Article
Biotechnology & Applied Microbiology
Yan Lin, Yujie Wan, Xingjie Du, Jian Li, Jun Wei, Ting Li, Chunhong Li, Zhongbing Liu, Meiling Zhou, Zhirong Zhong
Summary: The study developed a nanotechnology-based drug delivery system, TMP-loaded nanoparticles modified with HIV trans-activator of transcription (TAT-TMP-NPs). The system demonstrated good safety and tissue targeting ability, improved the bioavailability of TMP, and showed better distribution in spinal cord tissue compared to other treatment groups.
JOURNAL OF NANOBIOTECHNOLOGY
(2021)
Article
Pharmacology & Pharmacy
Jinxian Wu, Shanyong Wang, Shanshan Liu, Fang Liu, Feifan Zhou
Summary: This study developed a self-assembly nanoparticle using glycated chitosan for synergistic treatment of triple-negative breast cancer. The nanoparticle enabled direct elimination of primary tumors and suppression of distant tumors, while enhancing tumor immunogenicity and infiltration of CD8(+) T cells.
FRONTIERS IN PHARMACOLOGY
(2022)
Review
Engineering, Biomedical
Pallabita Chowdhury, Upasana Ghosh, Kamalika Samanta, Meena Jaggi, Subhash C. Chauhan, Murali M. Yallapu
Summary: Management of aggressive breast cancer, particularly TNBC, remains challenging despite advances in treatment. New therapies like atezolizumab, olaparib, and sacituzumab show limited survival benefits. Current research aims to improve treatment strategies by enhancing bioavailability, targetability, and reducing toxicity for better therapeutic outcomes.
BIOACTIVE MATERIALS
(2021)
Article
Nanoscience & Nanotechnology
Lizhen Zhan, Cairong Xiao, Changhao Li, Jinxia Zhai, Fabang Yang, Jinhua Piao, Chengyun NIng, Zhengnan Zhou, Peng Yu, Suijian Qi
Summary: This study demonstrates the inhibitory effects of internal wireless electric stimulation (ES) based on piezoelectric nanoparticles on the proliferation and migration of triple-negative breast cancer (TNBC) cells. Three different barium titanate nanoparticles (BTNPs) with different crystal phases and piezoelectric properties were studied, and varying intensities of internal ES were generated. In vitro and in vivo experiments showed that internal ES from BTNPs significantly reduced the proliferative potential of cancer cells, inhibited cell growth and migration, and resisted tumor growth and metastasis. The results suggest a promising noninvasive therapeutic strategy for TNBC with minimal side effects.
ACS APPLIED MATERIALS & INTERFACES
(2022)
Article
Oncology
Daniel Wilhelm Olivier, Etheresia Pretorius, Anna-Mart Engelbrecht
Summary: This study investigated the role of SAA1 in TNBC, focusing on cell cycle regulation, apoptosis, survival signaling, metabolism, and metastasis. Knockdown of SAA1 had varying effects in different cell types, with potential for therapeutic targeting in TNBC.
EXPERIMENTAL CELL RESEARCH
(2021)
Article
Engineering, Biomedical
Jie Yang, Zengguang Jia, Jun Zhang, Xiuhua Pan, Yawen Wei, Siyu Ma, Ning Yang, Zengyi Liu, Qi Shen
Summary: In this study, Cu-SF(RSV) NPs were used to overcome ferroptosis resistance in TNBC cells by intervening in metabolic pathways and generating oxidative stress to amplify the effect of ferroptosis, providing a promising therapeutic platform for clinical TNBC treatment.
ADVANCED HEALTHCARE MATERIALS
(2022)
Article
Biochemistry & Molecular Biology
Abdullah Alsrhani, Abozer Y. Elderdery, Badr Alzahrani, Nasser A. N. Alzerwi, Maryam Musleh Althobiti, Musaed Rayzah, Bandar Idrees, Ahmed M. E. Elkhalifa, Suresh K. Subbiah, Pooi Ling Mok
Summary: Breast cancer is a common and increasing malignant disease, and there is a need for better treatment options. Nanotechnology, particularly albumin-based nanoparticles, has potential as a chemotherapy technique for cancer therapy. In this study, albumin visnagin nanoparticles were synthesized and characterized, and their efficacy in suppressing breast cancer cells was examined.
Article
Biochemistry & Molecular Biology
Lijuan Guo, Wanjun Zhang, Xue Zhang, Jun Wang, Jiaqi Nie, Xiaomeng Jin, Ying Ma, Shi Wang, Xinhong Zhou, Yilei Zhang, Yan Xu, Yoshimasa Tanaka, Jingping Yuan, Xing-Hua Liao, Yiping Gong, Li Su
Summary: In this study, SIPA1 was found to function as a transcription factor that regulates the expression of genes involved in cell growth, differentiation, and response to environmental factors. Importin β1 was identified as an interacting partner of SIPA1 during fibronectin treatment. SIPA1's DNA-binding region (DBR) recognized and bound to a TGAGTCAB motif, and its transcriptional regulation was shown to be necessary for the migration and invasion of triple-negative breast cancer cells.
Article
Genetics & Heredity
Justine Marsolier, Pacome Prompsy, Adeline Durand, Anne-Marie Lyne, Camille Landragin, Amandine Trouchet, Sabrina Tenreira Bento, Almut Eisele, Sophie Foulon, Lea Baudre, Kevin Grosselin, Mylene Bohec, Sylvain Baulande, Ahmed Dahmani, Laura Sourd, Eric Letouze, Anne-Vincent Salomon, Elisabetta Marangoni, Leila Perie, Celine Vallot
Summary: The persistence of drug-resistant cancer cells is a major clinical challenge, particularly in triple-negative breast cancer. This study reveals that the repressive histone mark H3K27me3 plays a crucial role in regulating cell fate and chemotherapy tolerance in cancer cells. Manipulating H3K27me3 levels effectively enhances the potential of cancer cells to tolerate chemotherapy and delays tumor recurrence. These findings underscore the importance of understanding chromatin landscapes in shaping cancer cell response to initial therapy.
Article
Computer Science, Software Engineering
Liangmin Guo, Ying Zhu, Hao Yang, Yonglong Luo, Liping Sun, Xiaoyao Zheng
Summary: This study proposes a k-nearest neighbor query method based on trust and location privacy protection, which protects the query user's location privacy by introducing a cooperation mechanism and anonymous group, and improves the query accuracy by selecting agent users and optimizing the query results.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2022)
Article
Computer Science, Information Systems
Liping Sun, Shang Ci, Xiaoqing Liu, Liangmin Guo, Xiaoyao Zheng, Yonglong Luo
Summary: This paper proposes a secure grid-based density peaks clustering algorithm for a hybrid cloud environment, using homomorphic encryption to protect user privacy while improving precision and efficiency, lowering client-side computational complexity, and being applicable to industrial IoT big data.
INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Haiyan Zhang, Yonglong Luo, Qingying Yu, Xiaoyao Zheng, Xuejing Li
Summary: This study focuses on three improvements to the existing hidden Markov model to address the challenges of accurate map matching in mapping GPS trajectories, and the experimental results show that the proposed algorithm can effectively reduce error rates and is suitable for low sampling rate GPS devices.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Computer Science, Software Engineering
Liangmin Guo, Hao Yang, Kaixuan Luan, Yonglong Luo, Liping Sun, Xiaoyao Zheng
Summary: The paper presents a trust management model based on mutual trust and a reward-with-punishment mechanism to address issues like malicious entities in cloud environments. By calculating comprehensive trust values and selecting trade providers based on mutual trust, the model effectively reduces malicious behavior and increases trade success rate based on experimental results.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2021)
Article
Computer Science, Artificial Intelligence
Liping Sun, Xiaoqing Liu, Yuanjun Liu, Tao Wang, Liangmin Guo, Xiaoyao Zheng, Yonglong Luo
Summary: Traditional recommendation systems focus only on user content to predict item ratings. PPT systems are based on item attributes and deep learning methods extract deep features. The GRNNRec model integrates item attributes for rating prediction, improving accuracy significantly.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Zhiyun Xu, Xiaoyao Zheng, Haiyan Zhang, Yonglong Luo
Summary: This study proposed a travel group recommendation model based on user trust and social influence, which can improve the accuracy and satisfaction of group recommendations.
MOBILE INFORMATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Qingying Yu, Chuanming Chen, Liping Sun, Xiaoyao Zheng
Summary: A novel algorithm based on nearest neighborhood-related quality clustering techniques is proposed for detecting urban hotspots from taxi trajectory data, effectively addressing the clustering issue of unevenly distributed datasets.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Computer Science, Information Systems
Ming Zheng, Tong Li, Xiaoyao Zheng, Qingying Yu, Chuanming Chen, Ding Zhou, Changlong Lv, Weiyi Yang
Summary: A novel three-stage undersampling framework, UFFDFR, is proposed to improve classification performance on imbalanced data by removing noise and unrepresentative samples. Experiments show that UFFDFR outperformed classic and state-of-the-art clustering-based undersampling methods in terms of F-measure, G-mean, and AUC for five classification algorithms.
INFORMATION SCIENCES
(2021)
Article
Chemistry, Multidisciplinary
Xiaoyao Zheng, Yonglong Luo, Liping Sun, Qingying Yu, Ji Zhang, Siguang Chen
Summary: People travel more frequently in their leisure time, but fixed tour routes can't meet personalized preferences. A novel multi-objective and multi-constraint tour route recommendation method is proposed, which outperforms traditional methods in various aspects according to extensive experiments.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Information Systems
Qingying Yu, Fan Hu, Chuanming Chen, Liping Sun, Xiaoyao Zheng
Summary: Numerous GPS-connected vehicles are collecting extensive data in cities, enabling data-driven infrastructure planning. However, map matching technology faces challenges due to location device errors and road network complexity. To improve the accuracy and efficiency of map matching, this study proposes an offline method based on vehicle trajectory segmentation.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Article
Computer Science, Artificial Intelligence
Zhiyun Xu, Zhaoyan Hu, Xiaoyao Zheng, Haiyan Zhang, Yonglong Luo
Summary: This paper proposes a matrix factorization tourism point of interest recommendation model based on interest offset and differential privacy, which improves the recommendation performance by analyzing user interest preferences. It also designs a privacy neighbor selection algorithm and uses the Laplace mechanism to implement differential privacy protection. Experimental results show that the proposed model has advantages in recommendation accuracy and privacy protection.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2023)
Article
Automation & Control Systems
Xiaoyao Zheng, Baoting Han, Zhen Ni
Summary: In this study, a two-stage Pareto layering-based multi-objective evolutionary algorithm (MOTRR) is proposed for tourism route recommendation. The method decomposes the multi-objective problem into subproblems and improves solution distribution through a two-stage approach. The algorithm combines the two-stage method with Pareto layering to maintain distribution and diversity, while avoiding duplicate solutions. Experimental results demonstrate competitive advantages and better solution distribution compared to benchmark algorithms, using both simulated test functions and real scenic spot datasets.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2023)
Article
Computer Science, Cybernetics
Xiaoyao Zheng, Manping Guan, Xianmin Jia, Liangmin Guo, Yonglong Luo
Summary: This article proposes a novel matrix factorization algorithm and a recommendation system for preserving user privacy. The experimental results show that the proposed algorithm achieves better recommendation performance at the same privacy-preserving level.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Xiaoyao Zheng, Zhen Ni, Xiangnan Zhong, Yonglong Luo
Summary: This article proposes a recommendation model based on kernelized deep neural networks, which encodes the user-item rating matrix and mines implicit relations between users and items to simulate nonlinear user-item interactions, thus improving recommendation performance.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2022)
Article
Automation & Control Systems
Liangmin Guo, Kaixuan Luan, Xiaoyao Zheng, Jing Qian
Summary: A service recommendation method based on requirements is proposed, which forms user communities through clustering, predicts users' QoS requirements, obtains the matching degree of users to services, and then recommends services. This method improves recommendation accuracy without lowering efficiency compared to traditional collaborative filtering and deviation-based methods.
JOURNAL OF CONTROL SCIENCE AND ENGINEERING
(2021)
