Article
Oncology
Raviprasad Kuthethur, Maria Sona Jerome, Yashwanth Subbannayya, Sanjiban Chakrabarty
Summary: This study aimed to identify microRNAs associated with DNA repair deficiency in triple-negative breast cancer (TNBC) patients. The results identified 6 miRNAs as potential biomarkers for HR deficiency in TNBC, which could be used for future therapeutic strategies.
Article
Cell Biology
Anli Yang, Fu Peng, Lewei Zhu, Xing Li, Shunling Ou, Zhongying Huang, Song Wu, Cheng Peng, Peng Liu, Yanan Kong
Summary: Melatonin treatment downregulated FUNDC1 and lnc049808 in TNBC cell lines, which inhibited cell proliferation, invasion, and metastasis. lnc049808 and FUNDC1 acted as competing endogenous RNAs binding to miR-101, indicating a potential therapeutic pathway for TNBC progression inhibition by melatonin.
CELL DEATH & DISEASE
(2021)
Article
Oncology
Yu-Bo Wei, Dong-Min Liang, Mei-Ling Zhang, You-Jie Li, Hong-Fang Sun, Qin Wang, Yan Liang, Yan-Mei Li, Ran-Ran Wang, Zhen-Lin Yang, Pingyu Wang, Shu-Yang Xie
Summary: This study showed that the lncRNA-WFDC21P is significantly increased in triple-negative breast cancer (TNBC) and is associated with poor patient survival. Overexpression of WFDC21P promotes TNBC cell proliferation and metastasis. It interacts with miR-628-5p to negatively regulate Smad3-related gene expression, suppressing cell proliferation and metastasis. N6-methyladenosine (m6A) modification upregulates WFDC21P expression, and METTL3 plays a role in this process by promoting TNBC cell proliferation and metastasis.
FRONTIERS IN ONCOLOGY
(2022)
Review
Oncology
Karama Asleh, Nazia Riaz, Torsten O. Nielsen
Summary: As the field of translational 'omics has progressed, refined classifiers at both genomic and proteomic levels have emerged to decipher the heterogeneity of breast cancer in a clinically-applicable way. The integration of 'omics knowledge at the DNA, RNA and protein levels is further expanding biologic understanding of breast cancer and opportunities for customized treatment. Recent advances in omics-based genomics and proteomics diagnostics, single cell analysis approaches, and targeted therapeutics development have provided valuable insights into the molecular subtyping of triple negative breast cancer and potential treatment strategies.
JOURNAL OF EXPERIMENTAL & CLINICAL CANCER RESEARCH
(2022)
Article
Cell Biology
Yi Xiao, Ding Ma, Yun-Song Yang, Fan Yang, Jia-Han Ding, Yue Gong, Lin Jiang, Li-Ping Ge, Song-Yang Wu, Qiang Yu, Qing Zhang, Francois Bertucci, Qiuzhuang Sun, Xin Hu, Da-Qiang Li, Zhi-Ming Shao, Yi-Zhou Jiang
Summary: Metabolic reprogramming in triple-negative breast cancer (TNBC) was systematically characterized in this study, resulting in the construction of a large metabolomic atlas. The study classified TNBCs into three distinct metabolomic subgroups and identified subtype-specific metabolites as potential therapeutic targets. The findings suggest the clinical significance of TNBC metabolomics and provide valuable resources for precision treatment of TNBC.
Article
Oncology
David A. Skaar, Eric C. Dietze, Jackelyn A. Alva-Ornelas, David Ann, Dustin E. Schones, Terry Hyslop, Christopher Sistrunk, Carola Zalles, Adrian Ambrose, Kendall Kennedy, Ombeni Idassi, Gustavo Miranda Carboni, Michael N. Gould, Randy L. Jirtle, Victoria L. Seewaldt
Summary: Genomic imprinting is a specific form of epigenetic regulation that is influenced by poor prenatal nutrition and environmental toxins. KCNK9, a gene associated with breast cancer, was found to be imprinted in breast tissue and hypomethylation at its differentially methylated region was significantly associated with triple-negative breast cancer, particularly in African-American women. The study suggests that hypomethylation of the KCNK9 DMR may serve as a marker of risk and a potential target for prevention of TNBC.
Review
Pathology
Fatemeh Derakhshan, Jorge S. Reis-Filho
Summary: This article introduces the heterogeneity of triple-negative breast cancer (TNBC) and discusses its histologic, molecular classifications, and genomic alterations. The article also explores the role of the tumor microenvironment in TNBC and its potential impact on therapeutic response. Understanding the biology of each TNBC subtype is essential for delivering personalized medicine to patients.
ANNUAL REVIEW OF PATHOLOGY-MECHANISMS OF DISEASE
(2022)
Article
Oncology
Stanley Ly, Vivek Anand, Fouad El-Dana, Khoa Nguyen, Yiming Cai, Shirong Cai, Helen Piwnica-Worms, Debasish Tripathy, Aysegul A. Sahin, Michael Andreeff, Venkata Lokesh Battula
Summary: GD2 is expressed in around 60% of primary TNBC tumors at variable levels and is associated with worse overall survival of patients with TNBC. Treatment with dinutuximab significantly decreased adhesion and migration of TNBC cells, inhibited mTOR signaling, and reduced tumor growth in both cell-line xenografts and PDX models. Our data provide proof-of-concept for the critical role of GD2 in BCSCs and demonstrate the potential of dinutuximab as a novel therapeutic approach for TNBC.
JOURNAL FOR IMMUNOTHERAPY OF CANCER
(2021)
Article
Oncology
Saheed A. A. Ayodeji, Bin Bao, Emily A. A. Teslow, Lisa A. A. Polin, Greg Dyson, Aliccia Bollig-Fischer, Charlie Fehl
Summary: The study reveals a pathway in triple-negative breast cancer (TNBC) models where hyperglycemic conditions activate cancer stem cell (CSC) expansion. Targeting this pathway could potentially reduce hyperglycemia-driven breast cancer risk.
CANCER CELL INTERNATIONAL
(2023)
Article
Medicine, General & Internal
Samantha L. Payne, Priyanka Ram, Deepti H. Srinivasan, Thanh T. Le, Michael Levin, Madeleine J. Oudin
Summary: This study reveals that altering the resting membrane potential (RMP) of triple-negative breast cancer cells through manipulating potassium channel expression increases invasion and metastasis, accompanied by changes in gene expression related to cell adhesion. The study also identifies a new strategy to target metastatic breast cancer by repurposing an FDA-approved potassium channel blocker. These findings demonstrate that bioelectricity regulates cancer cell invasion and metastasis, potentially leading to new therapeutics for patients with metastatic disease.
Review
Oncology
Chia-Jung Li, Yen-Dun Tony Tzeng, Yi-Han Chiu, Hung-Yu Lin, Ming-Feng Hou, Pei-Yi Chu
Summary: Breast cancer emergencies have rapidly evolved in medicine over the past decade, with targeted therapy emerging as a new important treatment modality that offers advantages over traditional surgery, radiotherapy, and chemotherapy.
Article
Oncology
Animesh Kar, Nihal Medatwal, Kajal Rajput, Susmita Mandal, Trishna Pani, Ali Khan, Pankaj Sharma, Ajit Singh Oberoi, Gayatri Vishwakarma, S. V. S. Deo, Mohit Kumar Jolly, Avinash Bajaj, Ujjaini Dasgupta
Summary: This study identified sphingolipid profiles that can distinguish luminal and TNBC subtypes of breast cancer, as well as stratify tumor grades and lymphovascular invasion status. These findings provide valuable evidence for the development of sphingolipids as diagnostic markers and predictors of disease severity in breast cancer.
INTERNATIONAL JOURNAL OF CANCER
(2023)
Review
Oncology
Pere Llinas-Arias, Sandra Iniguez-Munoz, Kelly McCann, Leonie Voorwerk, Javier I. J. Orozco, Miquel Ensenyat-Mendez, Borja Sese, Maggie L. DiNome, Diego M. Marzese
Summary: The outcomes of triple-negative breast cancer (TNBC) are improving with the introduction of immunotherapy, but these responses are still limited to a select group of patients. Epigenetic alterations play a crucial role in immune escape mechanisms in TNBC, and the combination of epigenetic drugs and immunotherapy may enhance anticancer immune responses. Further research on the crosstalk between epigenetics and immune responses in TNBC is essential for developing effective therapeutic strategies.
Review
Nutrition & Dietetics
Getinet M. Adinew, Equar Taka, Patricia Mendonca, Samia S. Messeha, Karam F. A. Soliman
Summary: Flavonoids, as new promising molecules, show various biological activities and can modulate miRNAs to affect the progression of TNBC, emphasizing their potential role in the prevention and treatment of TNBC.
Review
Pharmacology & Pharmacy
Jun Zhang, Yu Xia, Xiaomei Zhou, Honghao Yu, Yufang Tan, Yaying Du, Qi Zhang, Yiping Wu
Summary: Triple-negative breast cancer is a highly malignant subtype of breast cancer with aggressive behaviors. It is associated with poor clinical outcomes, early recurrence, and a higher likelihood of visceral metastases compared to other types of breast cancer. Personalized or combined therapies based on molecular heterogeneity are showing promising results in treating triple-negative breast cancer.
FRONTIERS IN PHARMACOLOGY
(2022)
Article
Mathematical & Computational Biology
Wei Zhao, Wenbing Zhao, Wenfeng Wang, Xiaolu Jiang, Xiaodong Zhang, Yonghong Peng, Baocan Zhang, Guokai Zhang
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
(2020)
Article
Mathematical & Computational Biology
Yanqiu Zeng, Baocan Zhang, Wei Zhao, Shixiao Xiao, Guokai Zhang, Haiping Ren, Wenbing Zhao, Yonghong Peng, Yutian Xiao, Yiwen Lu, Yongshuo Zong, Yimin Ding
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE
(2020)
Article
Construction & Building Technology
Jie Su, Xiaohai He, Linbo Qing, Tong Niu, Yongqiang Cheng, Yonghong Peng
Summary: Social distancing in public spaces is crucial during the COVID-19 pandemic, and Visual Social Distancing (VSD) using surveillance videos offers a new approach for measuring physical distance. The proposed method in this study, including an online multi-pedestrian tracking approach and a new VSD method based on spatio-temporal trajectories, achieved outstanding performance in analyzing social distancing in public spaces.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Article
Computer Science, Information Systems
Haohao Ji, Linbo Qing, Longmei Han, Zhengyong Wang, Yongqiang Cheng, Yonghong Peng
Summary: The urban environment significantly affects the wellbeing of citizens. Understanding and evaluating urban perception is crucial for human-centered urban planning. A new data-enabled intelligence framework has been proposed to evaluate human perceptions of urban space, showing associations between urban perceptions and built environment, and socio-economic data.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2021)
Article
Chemistry, Analytical
Yuchen Wang, Linbo Qing, Zhengyong Wang, Yongqiang Cheng, Yonghong Peng
Summary: Social relationships are important for understanding human behavior and developing complex social intelligent systems. This study proposes a new framework for social relationship recognition that effectively integrates features on different scales and employs attention mechanisms to improve relationship representations. Experimental results demonstrate the effectiveness of the framework, including addressing data imbalance challenges.
Article
Computer Science, Artificial Intelligence
Wang Tang, Linbo Qing, Lindong Li, Li Guo, Yonghong Peng
Summary: Social relationships are crucial in human life, and accurately recognizing them based on visual observations can improve mental health programs and address social challenges. In this study, a new distributed reasoning strategy is proposed to predict principal and secondary social relationships in complex scenes.
APPLIED INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Xu Cheng, Haoyuan Li, Shuya Deng, Yonghong Peng
Summary: To address the issues of limited labeled data and poor generalization for unseen class in segmentation tasks, few-shot segmentation (FSS) has gained widespread attention and achieved significant progress by utilizing prototypical learning. However, the prototypes generated through averaging global object information still struggle with appearance diversity within the target class. In this paper, we propose a prototype cross and emphasis segmentation network (POEM) to provide more precise guidance in the feature matching process. Experimental results on two standard datasets demonstrate the superiority of POEM over state-of-the-art methods.
COMPUTER VISION AND IMAGE UNDERSTANDING
(2023)
Article
Engineering, Electrical & Electronic
Wang Tang, Linbo Qing, Haosong Gou, Li Guo, Yonghong Peng
Summary: Identifying social relationships from images is vital for improving human health and understanding social networks. Existing research focuses on visual features, neglecting interpersonal similarity as hidden information, leading to limited accuracy. We propose a framework that utilizes interpersonal similarities and an innovative CF-Loss function to enhance identification of social relationships. Experiment results demonstrate the effectiveness and accuracy of our framework over state-of-the-art methods.
IEEE SIGNAL PROCESSING LETTERS
(2023)
Article
Biochemical Research Methods
Chenxi Huang, Yisha Lan, Gaowei Xu, Xiaojun Zhai, Jipeng Wu, Fan Lin, Nianyin Zeng, Qingqi Hong, E. Y. K. Ng, Yonghong Peng, Fei Chen, Guokai Zhang
Summary: The study proposed a deep residual segmentation network based on attention mechanism for segmenting lumen contour in IVOCT images. By utilizing data augmentation, residual network, attention mechanism, and pyramid feature extraction structure, the proposed network achieves better learning of contour details with strong robustness and accuracy for IVOCT lumen contour segmentation.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2021)
Article
Biochemical Research Methods
Lu Yan, Weihong Huang, Liming Wang, Song Feng, Yonghong Peng, Jie Peng
Summary: The big data analytics platform in the Gastroenterology Department of Xiangya Hospital at Central South University provides comprehensive and systematic support for clinical research and practice, proven to be helpful in real world clinical practices. The integrated analysis based on electronic medical records and colonoscopy data offers reasonable recommendations on screening colorectal cancer, which could be very useful for health management in China.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2021)
Article
Computer Science, Information Systems
Wang Shi Hui, Weihong Huang, Jianzhong Hu, Kun Tao, Yonghong Peng
Article
Computer Science, Information Systems
Junjie Tang, Yisha Lan, Sirui Chen, Yongshuo Zhong, Chenxi Huang, Yonghong Peng, Qinyuan Liu, Yongqiang Cheng, Fei Chen, Wenliang Che
Article
Computer Science, Information Systems
Zheming Zuo, Bo Wei, Fei Chao, Yanpeng Qu, Yonghong Peng, Longzhi Yang
APPLIED SYSTEM INNOVATION
(2019)