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  • Open Access

    ARTICLE

    ScRNA-seq reveals the correlation between M2 phenotype of tumor-associated macrophages and lymph node metastasis of breast cancer

    JUN SHEN1,#, HONGFANG MA2,#, YONGXIA CHEN3, JIANGUO SHEN1,*

    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 >

  • Open Access

    ARTICLE

    SNSVM: SqueezeNet-Guided SVM for Breast Cancer Diagnosis

    Jiaji Wang1, Muhammad Attique Khan2, Shuihua Wang1,3, Yudong Zhang1,3,*

    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 >

  • Open Access

    ARTICLE

    Developing a Breast Cancer Resistance Protein Substrate Prediction System Using Deep Features and LDA

    Mehdi Hassan1,2, Safdar Ali3, Jin Young Kim2,*, 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 >

  • Open Access

    ARTICLE

    Anti-proliferative effect of Annona extracts on breast cancer cells

    MARIA-LUISA VEISAGA1,2, MARIAM AHUMADA2, STACY SORIANO2, LEONARDO ACUNA3, WEI ZHANG3, IVY LEUNG2, ROBERT BARNUM2, MANUEL A. BARBIERI1,2,3,4,5,*

    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 >

  • Open Access

    REVIEW

    Circulating tumor cells and circulating tumor DNA in breast cancer diagnosis and monitoring

    EFFAT ALEMZADEH1, LEILA ALLAHQOLI2, HAMIDEH DEHGHAN3, AFROOZ MAZIDIMORADI4, ALIREZA GHASEMPOUR3, HAMID SALEHINIYA5,*

    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

    Circulating tumor cells and circulating tumor DNA in breast cancer diagnosis and monitoring

  • Open Access

    REVIEW

    Mechanisms and applications of antitumor immunotherapy of responsive drug-loaded nanoparticles in breast cancer

    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 >

  • Open Access

    ARTICLE

    An Improved Fully Automated Breast Cancer Detection and Classification System

    Tawfeeq Shawly1, Ahmed A. Alsheikhy2,*

    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 >

  • Open Access

    ARTICLE

    Healing from Human to Human

    Soigner d’humain à humain

    D. Gros

    Psycho-Oncologie, Vol.16, No.2, pp. 260-264, 2022, DOI:10.3166/pson-2022-0192

    Abstract To fulfill its function as well as possible, medical art requires considering each patient in the totality of his biological and biographical being. However, the medical world faces a model fond of standardization of practices and inclined to give primacy to the requirements of science and machines over those of humans. As health professionals, we all strive daily to preserve a harmonious alliance between science and humanity. We aspire to maintain it, but we are aware of the threats hanging over it. This awareness should encourage us to carry out an interdisciplinary reflection. A multidimensional object, infinitely overflowing the biomedical… More >

  • Open Access

    ARTICLE

    Impact of Precariousness and Perceived Social Support, on the Return to Work of Women with Breast Cancer, in the Year Following the Beginning of Adjuvant Treatments

    Influence de la précarité sociale et du soutien social perçu, sur le retour au travail des femmes ayant un cancer du sein, dans l’année suivant le début des traitements adjuvants

    B. Porro, A. Michel, F. Cousson-Gélie

    Psycho-Oncologie, Vol.16, No.2, pp. 273-281, 2022, DOI:10.3166/pson-2022-0181

    Abstract The aim is to assess the associations between social precariousness, perceived social support, and the return to work (RTW) in the first year following the beginning of adjuvant breast cancer treatment. Sixty-eight breast cancer patients encountered when starting their adjuvant treatment (T0) were followed up at 3 (T1) and 12 months (T2). Friends’ informative support at T0 favours the RTW at T1. Precariousness and negative support at T0 and T2 decrease the likelihood of RTW at T2. RTW support should be offered and tailored at the outset of treatment.

    Résumé
    L’objectif est d’étudier les liens entre précarité sociale, soutien… More >

  • Open Access

    REVIEW

    Targeting triple-negative breast cancer: A clinical perspective

    LAZAR S. POPOVIC1,2,*, GORANA MATOVINA-BRKO1, MAJA POPOVIC1,2, KEVIN PUNIE3, ANA CVETANOVIC4,5, MATTEO LAMBERTINI6,7

    Oncology Research, Vol.31, No.3, pp. 221-238, 2023, DOI:10.32604/or.2023.028525

    Abstract Triple-negative breast cancer (TNBC) is a disease with often an aggressive course and a poor prognosis compared to other subtypes of breast cancer. TNBC accounts for approximately 10%–15% of all diagnosed breast cancer cases and represents a high unmet need in the field. Up to just a few years ago, chemotherapy was the only systemic treatment option for this subtype (1). To date, TNBC is considered a heterogeneous disease. One of the existing classifications is based on the analysis of mRNA expression in 587 TNBC cases, in which Lehman et al. proposed six subtypes of TNBC as follows: two basal-like… More > Graphic Abstract

    Targeting triple-negative breast cancer: A clinical perspective

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