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  • Open Access

    ARTICLE

    Spatial Attention Integrated EfficientNet Architecture for Breast Cancer Classification with Explainable AI

    Sannasi Chakravarthy1, Bharanidharan Nagarajan2, Surbhi Bhatia Khan3,7,*, Vinoth Kumar Venkatesan2, Mahesh Thyluru Ramakrishna4, Ahlam Al Musharraf5, Khursheed Aurungzeb6

    CMC-Computers, Materials & Continua, Vol.80, No.3, pp. 5029-5045, 2024, DOI:10.32604/cmc.2024.052531 - 12 September 2024

    Abstract Breast cancer is a type of cancer responsible for higher mortality rates among women. The cruelty of breast cancer always requires a promising approach for its earlier detection. In light of this, the proposed research leverages the representation ability of pretrained EfficientNet-B0 model and the classification ability of the XGBoost model for the binary classification of breast tumors. In addition, the above transfer learning model is modified in such a way that it will focus more on tumor cells in the input mammogram. Accordingly, the work proposed an EfficientNet-B0 having a Spatial Attention Layer with More >

  • Open Access

    RETRACTION

    Retraction: Downregulation of MicroRNA-449 Promotes Migration and Invasion of Breast Cancer Cells by Targeting Tumor Protein D52 (TPD52)

    Oncology Research Editorial Office

    Oncology Research, Vol.32, No.9, pp. 1525-1525, 2024, DOI:10.32604/or.2024.056119 - 23 August 2024

    Abstract This article has no abstract. More >

  • Open Access

    RETRACTION

    Retraction: miR-3188 Regulates Cell Proliferation, Apoptosis, and Migration in Breast Cancer by Targeting TUSC5 and Regulating the p38 MAPK Signaling Pathway

    Oncology Research Editorial Office

    Oncology Research, Vol.32, No.9, pp. 1523-1523, 2024, DOI:10.32604/or.2024.056118 - 23 August 2024

    Abstract This article has no abstract. More >

  • Open Access

    CORRECTION

    Correction: Long non-coding RNA LINC02163 accelerates malignant tumor behaviors in breast cancer by regulating the microRNA-511-3p/HMGA2 axis as a competing endogenous RNA

    CHENGLIN QIN1,2, LINFANG JIN1,3, JIA LI1,4, WENZHANG ZHA2, HUIMING DING2, XIAORONG LIU1,5, XUN ZHU1,*

    Oncology Research, Vol.32, No.9, pp. 1517-1522, 2024, DOI:10.32604/or.2024.051893 - 23 August 2024

    Abstract This article has no abstract. More >

  • Open Access

    ARTICLE

    Integrating Transformer and Bidirectional Long Short-Term Memory for Intelligent Breast Cancer Detection from Histopathology Biopsy Images

    Prasanalakshmi Balaji1,*, Omar Alqahtani1, Sangita Babu2, Mousmi Ajay Chaurasia3, Shanmugapriya Prakasam4

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 443-458, 2024, DOI:10.32604/cmes.2024.053158 - 20 August 2024

    Abstract Breast cancer is a significant threat to the global population, affecting not only women but also a threat to the entire population. With recent advancements in digital pathology, Eosin and hematoxylin images provide enhanced clarity in examining microscopic features of breast tissues based on their staining properties. Early cancer detection facilitates the quickening of the therapeutic process, thereby increasing survival rates. The analysis made by medical professionals, especially pathologists, is time-consuming and challenging, and there arises a need for automated breast cancer detection systems. The upcoming artificial intelligence platforms, especially deep learning models, play an More >

  • Open Access

    ARTICLE

    Trametinib boosts palbociclib’s efficacy in breast cancer via autophagy inhibition

    ANGUO WU1,#, JIAO YAN2,3,#, TING SU2,4, CHI FENG1, XIN LONG5,6, YIRU PAN1, RUPEI YE2, TIAN XIA2, HANAN LONG2, JIANMING WU1,*, XIULI XIAO2,*

    Oncology Research, Vol.32, No.7, pp. 1197-1207, 2024, DOI:10.32604/or.2024.046139 - 20 June 2024

    Abstract Breast cancer, a predominant global health issue, requires ongoing exploration of new therapeutic strategies. Palbociclib (PAL), a well-known cyclin-dependent kinase (CDK) inhibitor, plays a critical role in breast cancer treatment. While its efficacy is recognized, the interplay between PAL and cellular autophagy, particularly in the context of the RAF/MEK/ERK signaling pathway, remains insufficiently explored. This study investigates PAL’s inhibitory effects on breast cancer using both in vitro (MCF7 and MDA-MB-468 cells) and in vivo (tumor-bearing nude mice) models. Aimed at elucidating the impact of PAL on autophagic processes and exploring the potential of combining it with trametinib… More > Graphic Abstract

    Trametinib boosts palbociclib’s efficacy in breast cancer via autophagy inhibition

  • Open Access

    ARTICLE

    ROR2 promotes invasion and chemoresistance of triple-negative breast cancer cells by activating PI3K/AKT/mTOR signaling

    XIA DA1, HAN GE2, JUNFENG SHI3, CHUNHUA ZHU1, GUOZHU WANG1, YUAN FANG4,*, JIN XU1,*

    Oncology Research, Vol.32, No.7, pp. 1209-1219, 2024, DOI:10.32604/or.2024.045433 - 20 June 2024

    Abstract Objective: This study aimed to investigate the role of receptor tyrosine kinase-like orphan receptor 2 (ROR2) in triple-negative breast cancer (TNBC). Methods: ROR2 expression in primary TNBC and metastatic TNBC tissues was analyzed by immunohistochemical staining and PCR. ROR2 expression in TNBC cell lines was detected by PCR and Western blot analysis. The migration, invasion and chemosensitivity of TNBC cells with overexpression or knockdown of ROR2 were examined. Results: ROR2 expression was high in metastatic TNBC tissues. ROR2 knockdown suppressed the migration, invasion and chemoresistance of TNBC cells. ROR2 overexpression in MDA-MB-435 cells promoted the migration, More >

  • Open Access

    ARTICLE

    UBE2T mediates the stemness properties of breast cancer cells through the mTOR signaling pathway

    JIAWEI YIN1, YONGSHENG WANG2,3, GUANGWEI WEI4, MINGXIN WEN3,*

    BIOCELL, Vol.48, No.6, pp. 959-970, 2024, DOI:10.32604/biocell.2024.049349 - 10 June 2024

    Abstract Objectives: This study aimed to reveal the role and possible mechanism of the ubiquitin-conjugating enzyme 2T (UBE2T) in the biological activities of breast cancer stem cells (BCSCs). Methods: The specific protein and gene expression were quantified by Western blotting and quantitative real-time polymerase chain reaction, the proportion of BCSCs was examined by flow cytometry, and the self-renewal and proliferation of BCSCs were verified by serial sphere formation and soft agar. Results: Increasing expression of UBE2T was drastically found in breast cancer than that in adjacent tissues. Furthermore, UBE2T overexpression significantly increased the proportion of BCSCs in More >

  • Open Access

    ARTICLE

    Reversal of tamoxifen resistance by artemisinin in ER+ breast cancer: bioinformatics analysis and experimental validation

    ZHILI ZHUO#, DONGNI ZHANG#, WENPING LU*, XIAOQING WU, YONGJIA CUI, WEIXUAN ZHANG, MENGFAN ZHANG

    Oncology Research, Vol.32, No.6, pp. 1093-1107, 2024, DOI:10.32604/or.2024.047257 - 23 May 2024

    Abstract Breast cancer is the leading cause of cancer-related deaths in women worldwide, with Hormone Receptor (HR)+ being the predominant subtype. Tamoxifen (TAM) serves as the primary treatment for HR+ breast cancer. However, drug resistance often leads to recurrence, underscoring the need to develop new therapies to enhance patient quality of life and reduce recurrence rates. Artemisinin (ART) has demonstrated efficacy in inhibiting the growth of drug-resistant cells, positioning art as a viable option for counteracting endocrine resistance. This study explored the interaction between artemisinin and tamoxifen through a combined approach of bioinformatics analysis and experimental… More > Graphic Abstract

    Reversal of tamoxifen resistance by artemisinin in ER+ breast cancer: bioinformatics analysis and experimental validation

  • Open Access

    ARTICLE

    A Novel Approach to Breast Tumor Detection: Enhanced Speckle Reduction and Hybrid Classification in Ultrasound Imaging

    K. Umapathi1,*, S. Shobana1, Anand Nayyar2, Judith Justin3, R. Vanithamani3, Miguel Villagómez Galindo4, Mushtaq Ahmad Ansari5, Hitesh Panchal6,*

    CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 1875-1901, 2024, DOI:10.32604/cmc.2024.047961 - 15 May 2024

    Abstract Breast cancer detection heavily relies on medical imaging, particularly ultrasound, for early diagnosis and effective treatment. This research addresses the challenges associated with computer-aided diagnosis (CAD) of breast cancer from ultrasound images. The primary challenge is accurately distinguishing between malignant and benign tumors, complicated by factors such as speckle noise, variable image quality, and the need for precise segmentation and classification. The main objective of the research paper is to develop an advanced methodology for breast ultrasound image classification, focusing on speckle noise reduction, precise segmentation, feature extraction, and machine learning-based classification. A unique approach… More >

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