Valérie Berger^1,2,*, Hélène Hoarau^1,2, Florence Saillour^3,4

Psycho-Oncologie, Vol.17, No.3, pp. 159-166, 2023, DOI:10.32604/po.2023.044727

Abstract The development of digital platforms is transforming caregiver-patient interactions and the dissemination of knowledge. Obtaining information from the Internet has become a habit for many patients and must be considered by caregivers. Thus, understanding the use of digital tools by patients is a public health issue. The Sav-AQ study aims to understand patterns of use by women with breast cancer and the role of health professionals. Sav-AQ is an exploratory feasibility study with a mixed design, exploring patient and healthcare experience before and after the integration of a specific website into their care pathways. The research is based on the… More >

LINGYAN LV^1,2,#, JING ZHAO^1,2,#, XUAN WANG^1,2, LIUYAN XU^1,2, YINGYI FAN², CHUNHUI WANG³, HONGQIAO FAN^4,5,*, XIAOHUA PEI^5,*

BIOCELL, Vol.47, No.9, pp. 1977-1994, 2023, DOI:10.32604/biocell.2023.030742

Abstract Background: The development and prognosis of breast cancer are intricately linked to psychological stress. In addition, depression is the most common psychological comorbidity among breast cancer survivors, and reportedly, Fang-Xia-Dihuang decoction (FXDH) can effectively manage depression in such patients. However, its pharmacological and molecular mechanisms remain obscure. Methods: Public databases were used for obtaining active components and related targets. Main active components were further verified by ultra-high-performance liquid chromatography-high-resolution mass spectrometry (UPLC-HRMS). Protein–protein interaction and enrichment analyses were taken to predict potential hub targets and related pathways. Molecule docking was used to understand the interactions between main compounds and hub… More >

EUN SOOK KIM¹, SANGHEE KIM², AREE MOON^1,*

Oncology Research, Vol.31, No.6, pp. 867-875, 2023, DOI:10.32604/or.2023.030411

Abstract Invasion and metastasis are important hallmarks of breast cancer and are the leading cause of patient mortality. Triple-negative breast cancer (TNBC) is an aggressive type of breast cancer characterized by a poor prognosis and a lack of effective targeted therapies. The present study investigated the inhibitory effect of a novel FTY720 derivative on the invasive phenotype of TNBC cells. Here, we showed that a novel compound with an isoxazole ring, 4-(3-Decylisoxazol-5-yl)-1-hydroxy-2-(hydroxymethyl)butan-2-aminium chloride (CM2-II-173), significantly inhibited invasiveness of MDA-MB-231 TNBC cells. Expression of matrix metalloproteinase (MMP)-9 and invasiveness of MCF10A normal breast cells induced by sphingosine-1-phosphate (S1P) were reduced by CM2-II-173… More >

JUN SHEN^1,#, HONGFANG MA^2,#, YONGXIA CHEN³, JIANGUO SHEN^1,*

Oncology Research, Vol.31, No.6, pp. 955-966, 2023, DOI:10.32604/or.2023.029638

Abstract The process of lymphatic metastasis was proved to be associated with podoplanin-expressing macrophages in breast cancer (BC). This study aimed to investigate the role of the M2 phenotype of tumor-associated macrophages and mine the key M2 macrophages-related genes for lymph node metastasis in BC. We downloaded the GSE158399 dataset from the Gene Expression Omnibus (GEO) database, which includes transcriptomic profiles of individual cells from primary tumors, negative lymph nodes (NLNs), and positive lymph nodes (PLNs) of breast cancer patients. The cell subsets were identified by clustering analysis after quality control of the scRNA-seq using Seurat. The activation and migration capability… More >

Jiaji Wang¹, Muhammad Attique Khan², Shuihua Wang^1,3, Yudong Zhang^1,3,*

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 2201-2216, 2023, DOI:10.32604/cmc.2023.041191

Abstract Breast cancer is a major public health concern that affects women worldwide. It is a leading cause of cancer-related deaths among women, and early detection is crucial for successful treatment. Unfortunately, breast cancer can often go undetected until it has reached advanced stages, making it more difficult to treat. Therefore, there is a pressing need for accurate and efficient diagnostic tools to detect breast cancer at an early stage. The proposed approach utilizes SqueezeNet with fire modules and complex bypass to extract informative features from mammography images. The extracted features are then utilized to train a support vector machine (SVM)… More >

Mehdi Hassan^1,2, Safdar Ali³, Jin Young Kim^2,*, Muhammad Sanaullah⁴, Hani Alquhayz⁵, Khushbakht Safdar⁶

CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1643-1663, 2023, DOI:10.32604/cmc.2023.038578

Abstract Breast cancer resistance protein (BCRP) is an important resistance protein that significantly impacts anticancer drug discovery, treatment, and rehabilitation. Early identification of BCRP substrates is quite a challenging task. This study aims to predict early substrate structure, which can help to optimize anticancer drug development and clinical diagnosis. For this study, a novel intelligent approach-based methodology is developed by modifying the ResNet101 model using transfer learning (TL) for automatic deep feature (DF) extraction followed by classification with linear discriminant analysis algorithm (TLRNDF-LDA). This study utilized structural fingerprints, which are exploited by DF contrary to conventional molecular descriptors. The proposed in… More >

MARIA-LUISA VEISAGA^1,2, MARIAM AHUMADA², STACY SORIANO², LEONARDO ACUNA³, WEI ZHANG³, IVY LEUNG², ROBERT BARNUM², MANUEL A. BARBIERI^1,2,3,4,5,*

BIOCELL, Vol.47, No.8, pp. 1835-1852, 2023, DOI:10.32604/biocell.2023.029076

Abstract Backgorund: Fruits and seed extracts of Annona montana have significant cytotoxic potential in several cancer cells. This study evaluates the effect of A. montana leaves hexane extract on several signaling cascades and gene expression in metastatic breast cancer cells upon insulin-like growth factor-1 (IGF-1) stimulation. Methods: MTT assay was performed to determine the proliferation of cancer cells. Propidium iodide staining and flow cytometry analysis of Annexin V binding was utilized to measure the progression of the cell cycle and the induction of apoptosis. Protein expression and phosphorylation were determined by western blotting analysis to examine the underlying cellular mechanism triggered… More >

EFFAT ALEMZADEH¹, LEILA ALLAHQOLI², HAMIDEH DEHGHAN³, AFROOZ MAZIDIMORADI⁴, ALIREZA GHASEMPOUR³, HAMID SALEHINIYA^5,*

Oncology Research, Vol.31, No.5, pp. 667-675, 2023, DOI:10.32604/or.2023.028406

Abstract Liquid biopsy, including both circulating tumor cells and circulating tumor DNA, is becoming more popular as a diagnostic tool in the clinical management of breast cancer. Elevated concentrations of these biomarkers during cancer treatment may be used as markers for cancer progression as well as to understand the mechanisms underlying metastasis and treatment resistance. Thus, these circulating markers serve as tools for cancer assessing and monitoring through a simple, non-invasive blood draw. However, despite several study results currently noting a potential clinical impact of ctDNA mutation tracking, the method is not used clinically in cancer diagnosis among patients and more… More > Graphic Abstract

LETIAN JIN, HETING CHEN, QI RUAN, RUI LIU, YIFENG FAN, XIUFANG XU, DAJIANG WANG^*, JIAHUI LU^*

BIOCELL, Vol.47, No.7, pp. 1483-1498, 2023, DOI:10.32604/biocell.2023.028457

Abstract During the chemotherapy of tumors, the cytotoxic effect of drugs is vital to kill tumor cells, and the delivery of a chemotherapeutic agent is of great importance for optimal therapeutic effects. The high in vivo clearance rate and low delivery efficiency of conventional chemotherapeutic agents affect the therapeutic effect. In recent years, the responsive drug delivery nanosystem has received increasing concern owing to its excellent biocompatibility, stable delivery performance, and controlled drug release strategies. To lucidly explain the cytocidal and immunotherapeutic effects of such responsive nanosystems in breast cancer, this review discusses the various stimuli and responses of drug-loaded liposomal… More >

Tawfeeq Shawly¹, Ahmed A. Alsheikhy^2,*

CMC-Computers, Materials & Continua, Vol.76, No.1, pp. 731-751, 2023, DOI:10.32604/cmc.2023.039433

Abstract More than 500,000 patients are diagnosed with breast cancer annually. Authorities worldwide reported a death rate of 11.6% in 2018. Breast tumors are considered a fatal disease and primarily affect middle-aged women. Various approaches to identify and classify the disease using different technologies, such as deep learning and image segmentation, have been developed. Some of these methods reach 99% accuracy. However, boosting accuracy remains highly important as patients’ lives depend on early diagnosis and specified treatment plans. This paper presents a fully computerized method to detect and categorize tumor masses in the breast using two deep-learning models and a classifier… More >