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  • Open Access

    ARTICLE

    ELK3-ID4 axis governs the metastatic features of triple negative breast cancer

    JIN-HO CHOI, JOO DONG PARK, SEUNG HEE CHOI, EUN-SU KO, HYE JUNG JANG, KYUNG-SOON PARK*

    Oncology Research, Vol.32, No.1, pp. 127-138, 2024, DOI:10.32604/or.2023.042945 - 15 November 2023

    Abstract Purpose: Cancer cell metastasis is a multistep process, and the mechanism underlying extravasation remains unclear. ELK3 is a transcription factor that plays a crucial role in regulating various cellular processes, including cancer metastasis. Based on the finding that ELK3 promotes the metastasis of triple-negative breast cancer (TNBC), we investigated whether ELK3 regulates the extravasation of TNBC by forming the ELK3-ID4 axis. ID4 functions as a transcriptional regulator that interacts with other transcription factors, inhibiting their activity and subsequently influencing various biological processes associated with cell differentiation, survival, growth, and metastasis. Methods: We assessed the correlation… More > Graphic Abstract

    ELK3-ID4 axis governs the metastatic features of triple negative breast cancer

  • Open Access

    ARTICLE

    Microstrip Patch Antenna with an Inverted T-Type Notch in the Partial Ground for Breast Cancer Detections

    Nure Alam Chowdhury1, Lulu Wang2,*, Md Shazzadul Islam3, Linxia Gu1, Mehmet Kaya1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1301-1322, 2024, DOI:10.32604/cmes.2023.030844 - 17 November 2023

    Abstract This study designs a microstrip patch antenna with an inverted T-type notch in the partial ground to detect tumor cells inside the human breast. The size of the current antenna is small enough (18 mm × 21 mm × 1.6 mm) to distribute around the breast phantom. The operating frequency has been observed from 6–14 GHz with a minimum return loss of −61.18 dB and the maximum gain of current proposed antenna is 5.8 dBi which is flexible with respect to the size of antenna. After the distribution of eight antennas around the breast phantom, the return loss curves were observed in the presence and More > Graphic Abstract

    Microstrip Patch Antenna with an Inverted T-Type Notch in the Partial Ground for Breast Cancer Detections

  • Open Access

    ARTICLE

    Early detection of breast cancer in mammograms using the lightweight modification of efficientNet B3

    Nabilah Ruza1, Saiful Izzuan Hussain2, Siti Kamariah Che Mohamed3, Mohd Hafiz Arzmi4,5

    Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, Vol.39, No.3, pp. 1-7, 2023, DOI:10.23967/j.rimni.2023.08.002 - 01 September 2023

    Abstract Breast cancer is one of the leading causes of death in women worldwide and early detection is critical to improving survival rates. In this study, we present a modified deep learning method for automatic feature detection for breast mass classification on mammograms. We propose to use EfficientNet, a Convolutional Neural Network (CNN) architecture that requires minimal parameters. The main advantage of EfficientNet is the small number of parameters, which allows efficient and accurate classification of mammogram images. Our experiments show that EfficientNet, with an overall accuracy of 86.5 percent, has the potential to be the More >

  • Open Access

    ARTICLE

    Enhancing Breast Cancer Diagnosis with Channel-Wise Attention Mechanisms in Deep Learning

    Muhammad Mumtaz Ali, Faiqa Maqsood, Shiqi Liu, Weiyan Hou, Liying Zhang, Zhenfei Wang*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2699-2714, 2023, DOI:10.32604/cmc.2023.045310 - 26 December 2023

    Abstract Breast cancer, particularly Invasive Ductal Carcinoma (IDC), is a primary global health concern predominantly affecting women. Early and precise diagnosis is crucial for effective treatment planning. Several AI-based techniques for IDC-level classification have been proposed in recent years. Processing speed, memory size, and accuracy can still be improved for better performance. Our study presents ECAM, an Enhanced Channel-Wise Attention Mechanism, using deep learning to analyze histopathological images of Breast Invasive Ductal Carcinoma (BIDC). The main objectives of our study are to enhance computational efficiency using a Separable CNN architecture, improve data representation through hierarchical feature… More >

  • Open Access

    ARTICLE

    Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification

    Sahar Arooj1, Muhammad Farhan Khan2, Tariq Shahzad3, Muhammad Adnan Khan4,5,6, Muhammad Umar Nasir7, Muhammad Zubair1, Atta-ur-Rahman8, Khmaies Ouahada3,*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 2813-2831, 2023, DOI:10.32604/cmc.2023.043013 - 26 December 2023

    Abstract Breast cancer (BC) is the most widespread tumor in females worldwide and is a severe public health issue. BC is the leading reason of death affecting females between the ages of 20 to 59 around the world. Early detection and therapy can help women receive effective treatment and, as a result, decrease the rate of breast cancer disease. The cancer tumor develops when cells grow improperly and attack the healthy tissue in the human body. Tumors are classified as benign or malignant, and the absence of cancer in the breast is considered normal. Deep learning,… More >

  • Open Access

    ARTICLE

    Identification of an immune classifier for predicting the prognosis and therapeutic response in triple-negative breast cancer

    KUAILU LIN1,2, QIANYU GU2, XIXI LAI2,3,*

    BIOCELL, Vol.47, No.12, pp. 2681-2696, 2023, DOI:10.32604/biocell.2023.043298 - 27 December 2023

    Abstract Objectives: Triple-negative breast cancer (TNBC) poses a significant challenge due to the lack of reliable prognostic gene signatures and an understanding of its immune behavior. Methods: We analyzed clinical information and mRNA expression data from 162 TNBC patients in TCGA-BRCA and 320 patients in METABRIC-BRCA. Utilizing weighted gene coexpression network analysis, we pinpointed 34 TNBC immune genes linked to survival. The least absolute shrinkage and selection operator Cox regression method identified key TNBC immune candidates for prognosis prediction. We calculated chemotherapy sensitivity scores using the “pRRophetic” package in R software and assessed immunotherapy response using the… More >

  • Open Access

    MiR-19a-3p/PTEN axis regulates the anticancer effect of circHIAT1 in breast cancer in vitro

    CHAO NIU1,#, RUOFEI SUN1,#, XIAOGANG LI2, BO LI2, XIAODONG HE1,*

    BIOCELL, Vol.47, No.10, pp. 2301-2312, 2023, DOI:10.32604/biocell.2023.029935 - 08 November 2023

    Abstract Objective: Breast cancer is a major cancer threatening the health of women globally. To elucidate the effect of the circHIAT1/miR-19a-3p/phosphatase and tensin homolog (PTEN) axis on regulating the malignant phenotype of breast cancer cells. Methods: The mRNA expression pattern of circHIAT1, miR-19a-3p, and PTEN was checked by real-time quantitative polymerase chain reaction. Then, the knockdown assay was carried out to explore the effect of circHIAT1 and miR-19a-3p on breast cancer. The relative cell experiments, including MTT assay, scratch assay, transwell invasion assay, and flow cytometry analysis, were conducted to verify the influence of circHIAT1 and miR-19a-3p… More >

  • Open Access

    Ring finger protein 157 is a prognostic biomarker and is associated with immune infiltrates in human breast cancer

    XIN ZHU1,2,#, BIN XIAO3,#,*, WENWU ZHANG3,4, XIAOYU SONG3, WEI GONG5, LINHAI LI3,*, XINPING CHEN1,2,*

    BIOCELL, Vol.47, No.10, pp. 2265-2281, 2023, DOI:10.32604/biocell.2023.029195 - 08 November 2023

    Abstract Background: The protein encoded by ring finger protein 157 (RNF157) is known to function as an E3 ubiquitin ligase. However, whether the level of RNF157 expression in breast cancer correlates with prognosis and immune cell infiltration among breast cancer patients remains to be further explored. Methods: In this study, publicly available datasets were used for evaluating RNF157 expression in different tumors compared with normal samples. Several independent datasets were screened for investigating the relationship between RNF157 and breast cancer survival, different mutation profiles, and tumor immune cell infiltration. We conducted a pathway enrichment analysis to… More >

  • Open Access

    ARTICLE

    Recognizing Breast Cancer Using Edge-Weighted Texture Features of Histopathology Images

    Arslan Akram1,2, Javed Rashid2,3,4, Fahima Hajjej5, Sobia Yaqoob1,6, Muhammad Hamid7, Asma Irshad8, Nadeem Sarwar9,*

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 1081-1101, 2023, DOI:10.32604/cmc.2023.041558 - 31 October 2023

    Abstract Around one in eight women will be diagnosed with breast cancer at some time. Improved patient outcomes necessitate both early detection and an accurate diagnosis. Histological images are routinely utilized in the process of diagnosing breast cancer. Methods proposed in recent research only focus on classifying breast cancer on specific magnification levels. No study has focused on using a combined dataset with multiple magnification levels to classify breast cancer. A strategy for detecting breast cancer is provided in the context of this investigation. Histopathology image texture data is used with the wavelet transform in this… More >

  • Open Access

    ARTICLE

    Comparative Evaluation of Data Mining Algorithms in Breast Cancer

    Fuad A. M. Al-Yarimi*

    CMC-Computers, Materials & Continua, Vol.77, No.1, pp. 633-645, 2023, DOI:10.32604/cmc.2023.038858 - 31 October 2023

    Abstract Unchecked breast cell growth is one of the leading causes of death in women globally and is the cause of breast cancer. The only method to avoid breast cancer-related deaths is through early detection and treatment. The proper classification of malignancies is one of the most significant challenges in the medical industry. Due to their high precision and accuracy, machine learning techniques are extensively employed for identifying and classifying various forms of cancer. Several data mining algorithms were studied and implemented by the author of this review and compared them to the present parameters and… More >

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