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  • Open Access

    ARTICLE

    Ultrasound genomics related mitochondrial gene signature for prognosis and neoadjuvant chemotherapy resistance in triple negative breast cancer

    HUAFANG HUANG1,2,#, GUILIN WANG3,#, DONGYUN ZENG4,5, LUZ ANGELA TORRES-DE LA ROCHE2, RUI ZHUO1,2, RUDY LEON DE WILDE2, WANWAN WANG6, ULF D. KAHLERT7,*, WENJIE SHI7,*

    Oncology Research, Vol.33, No.3, pp. 631-640, 2025, DOI:10.32604/or.2024.054642 - 28 February 2025

    Abstract Background: Neoadjuvant chemotherapy (NAC) significantly enhances clinical outcomes in patients with triple-negative breast cancer (TNBC); however, chemoresistance frequently results in treatment failure. Consequently, understanding the mechanisms underlying resistance and accurately predicting this phenomenon are crucial for improving treatment efficacy. Methods: Ultrasound images from 62 patients, taken before and after neoadjuvant therapy, were collected. Mitochondrial-related genes were extracted from a public database. Ultrasound features associated with NAC resistance were identified and correlated with significant mitochondrial-related genes. Subsequently, a prognostic model was developed and evaluated using the GSE58812 dataset. We also assessed this model alongside clinical factors… More >

  • Open Access

    ARTICLE

    Magnetic melamine cross-linked polystyrene-alt-malic anhydride copolymer: Synthesis, characterization, paclitaxel delivery, cytotoxic effects on human ovarian and breast cancer cells

    RAZIEH MOMEN-MESGIN1, JAFAR REZAIE2,*, VAHID NEJATI1, PEYMAN NAJAFI MOGHADAM3

    Oncology Research, Vol.33, No.3, pp. 665-674, 2025, DOI:10.32604/or.2024.054487 - 28 February 2025

    Abstract Objectives: Due to systematic side effects, there is a growing interest in nanoparticle formulation of anticancer drugs. Here, we aimed to synthesize poly (styrene-alt-maleic anhydride) cross-linked by melamine (PSMA/Me) and coated with magnetite nanoparticles (MNPs) PSMA/Me/Fe3O4. In addition, we aimed to load paclitaxel (PTX) into PSMA/Me/Fe3O4 for drug delivery and anticancer investigations. Methods: Novel PSMA/Me was synthesized via free radical copolymerization, coated with Fe3O4, and then used as a transporter for PTX delivery. Fabricated copolymer was characterized using SEM, TGA, and XRD techniques. Drug release rate and loading efficiency were investigated. Human ovarian cancer cells (Skov-3) and… More >

  • Open Access

    ARTICLE

    Preventive effects of low-dose radiation and hypofractionated radiation plus anti-programmed cell death protein 1 on lung metastasis in breast cancer

    SHUANG CHEN1,2,#, XUEMEI DENG2,#, XINGTING HE2, KEWEI XIANG2, GUIHONG CHEN2, HONGRU YANG2,*

    Oncology Research, Vol.33, No.3, pp. 687-694, 2025, DOI:10.32604/or.2024.052133 - 28 February 2025

    Abstract Background: Previous experiments have demonstrated that hypofractionated radiation therapy (HFRT), low-dose radiation therapy (LDRT), and combined anti-programmed cell death protein 1 (αPD-1) can enhance the abscopal effect. Combined with the phenomenon of low prognosis in patients with breast cancer lung metastasis, our study establishes a mouse model and changes the irradiation regimen of LDRT to explore its preventive effect on breast cancer lung metastasis. Methods: The breast cancer subcutaneous graft tumor model was developed. Two-lung prophylactic LDRT was performed prior to the onset of lung metastases, in combination with HFRT (8 Gy, 3f), and αPD-1… More >

  • Open Access

    ARTICLE

    Astragalus polysaccharide enhances the therapeutic efficacy of cisplatin in triple-negative breast cancer through multiple mechanisms

    LI SUN1,#, SHICHAO ZHUO2,#, XIAOXIN LI2, HUSHENG KONG3, WEIWEI DU3, CHONG ZHOU4, JUNXING HUANG1,*

    Oncology Research, Vol.33, No.3, pp. 641-651, 2025, DOI:10.32604/or.2024.050057 - 28 February 2025

    Abstract Background: Cisplatin (DDP) has been used in the treatment of various human cancers. However, DDP alone lacks efficacy in treating triple-negative breast cancer (TNBC), and its clinical application is often hampered by side effects. Astragalus polysaccharide (APS) is one of the active components extracted from Astragalus membranaceus and has gained attention for its various biological properties. This research is aimed to evaluate the effectiveness of a combination of APS and DDP on TNBC and explore the potential mechanisms. Methods: The efficacy and mechanisms of single or combined treatment were evaluated using Cell Counting Kit-8 (CCK8) assay, Annexin… More >

  • Open Access

    ARTICLE

    MCU-i4, a mitochondrial Ca2+ uniporter modulator, induces breast cancer BT474 cell death by enhancing glycolysis, ATP production and reactive oxygen species (ROS) burst

    EDMUND CHEUNG SO1,2,#, LOUIS W. C. CHOW3,#, CHIN-MIN CHUANG4, CING YU CHEN5,6, CHENG-HSUN WU7, LIAN-RU SHIAO8, TING-TSZ OU9, KAR-LOK WONG10, YUK-MAN LEUNG8,*, YI-PING HUANG8,*

    Oncology Research, Vol.33, No.2, pp. 397-406, 2025, DOI:10.32604/or.2024.052743 - 16 January 2025

    Abstract Objectives: Mitochondrial Ca2+ uniporter (MCU) provides a Ca2+ influx pathway from the cytosol into the mitochondrial matrix and a moderate mitochondrial Ca2+ rise stimulates ATP production and cell growth. MCU is highly expressed in various cancer cells including breast cancer cells, thereby increasing the capacity of mitochondrial Ca2+ uptake, ATP production, and cancer cell proliferation. The objective of this study was to examine MCU inhibition as an anti-cancer mechanism. Methods: The effects of MCU-i4, a newly developed MCU inhibitor, on cell viability, apoptosis, cytosolic Ca2+, mitochondrial Ca2+ and potential, glycolytic rate, generation of ATP, and reactive oxygen species,… More >

  • Open Access

    ARTICLE

    Hsa-miR-214-3p inhibits breast cancer cell growth and improves the tumor immune microenvironment by downregulating B7H3

    YAN LU1,2,#, KANG WANG3,#, YUANHONG PENG3,4, MENG CHEN5, LIN ZHONG3,4, LUJI HUANG3,4, FU CHENG3,4, XINDAN SHENG4,6, XIN YANG4,6, MANZHAO OUYANG3,4, GEORGE A. CALIN5,*, ZHIWEI HE1,*

    Oncology Research, Vol.33, No.1, pp. 103-121, 2025, DOI:10.32604/or.2024.057472 - 20 December 2024

    Abstract Background: Immune checkpoint inhibitors play an important role in the treatment of solid tumors, but the currently used immune checkpoint inhibitors targeting programmed cell death-1 (PD-1), programmed cell death ligand-1 (PD-L1), and cytotoxic T-lymphocyte antigen-4 (CTLA-4) show limited clinical efficacy in many breast cancers. B7H3 has been widely reported as an immunosuppressive molecule, but its immunological function in breast cancer patients remains unclear. Methods: We analyzed the expression of B7H3 in breast cancer samples using data from the Cancer Genome Atlas Program (TCGA) and the Gene Expression Omnibus (GEO) databases. MicroRNAs were selected using the… More >

  • Open Access

    ARTICLE

    Deep learning identification of novel autophagic protein-protein interactions and experimental validation of Beclin 2-Ubiquilin 1 axis in triple-negative breast cancer

    XIANG LI1,#, WENKE JIN2,#, LIFENG WU2, HUAN WANG1, XIN XIE1, WEI HUANG1,*, BO LIU2,*

    Oncology Research, Vol.33, No.1, pp. 67-81, 2025, DOI:10.32604/or.2024.055921 - 20 December 2024

    Abstract Background: Triple-negative breast cancer (TNBC), characterized by its lack of traditional hormone receptors and HER2, presents a significant challenge in oncology due to its poor response to conventional therapies. Autophagy is an important process for maintaining cellular homeostasis, and there are currently autophagy biomarkers that play an effective role in the clinical treatment of tumors. In contrast to targeting protein activity, intervention with protein-protein interaction (PPI) can avoid unrelated crosstalk and regulate the autophagy process with minimal interference pathways. Methods: Here, we employed Naive Bayes, Decision Tree, and k-Nearest Neighbors to elucidate the complex PPI… More >

  • Open Access

    ARTICLE

    Advancing Breast Cancer Diagnosis: The Development and Validation of the HERA-Net Model for Thermographic Analysis

    S. Ramacharan1,*, Martin Margala1, Amjan Shaik2, Prasun Chakrabarti3, Tulika Chakrabarti4

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 3731-3760, 2024, DOI:10.32604/cmc.2024.058488 - 19 December 2024

    Abstract Breast cancer remains a significant global health concern, with early detection being crucial for effective treatment and improved survival rates. This study introduces HERA-Net (Hybrid Extraction and Recognition Architecture), an advanced hybrid model designed to enhance the diagnostic accuracy of breast cancer detection by leveraging both thermographic and ultrasound imaging modalities. The HERA-Net model integrates powerful deep learning architectures, including VGG19, U-Net, GRU (Gated Recurrent Units), and ResNet-50, to capture multi-dimensional features that support robust image segmentation, feature extraction, and temporal analysis. For thermographic imaging, a comprehensive dataset of 3534 infrared (IR) images from the… More >

  • Open Access

    ARTICLE

    Modeling and Predictive Analytics of Breast Cancer Using Ensemble Learning Techniques: An Explainable Artificial Intelligence Approach

    Avi Deb Raha1, Fatema Jannat Dihan2, Mrityunjoy Gain1, Saydul Akbar Murad3, Apurba Adhikary2, Md. Bipul Hossain2, Md. Mehedi Hassan1, Taher Al-Shehari4, Nasser A. Alsadhan5, Mohammed Kadrie4, Anupam Kumar Bairagi1,*

    CMC-Computers, Materials & Continua, Vol.81, No.3, pp. 4033-4048, 2024, DOI:10.32604/cmc.2024.057415 - 19 December 2024

    Abstract Breast cancer stands as one of the world’s most perilous and formidable diseases, having recently surpassed lung cancer as the most prevalent cancer type. This disease arises when cells in the breast undergo unregulated proliferation, resulting in the formation of a tumor that has the capacity to invade surrounding tissues. It is not confined to a specific gender; both men and women can be diagnosed with breast cancer, although it is more frequently observed in women. Early detection is pivotal in mitigating its mortality rate. The key to curbing its mortality lies in early detection.… More >

  • Open Access

    ARTICLE

    Densely Convolutional BU-NET Framework for Breast Multi-Organ Cancer Nuclei Segmentation through Histopathological Slides and Classification Using Optimized Features

    Amjad Rehman1, Muhammad Mujahid1, Robertas Damasevicius2,*, Faten S Alamri3, Tanzila Saba1

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.3, pp. 2375-2397, 2024, DOI:10.32604/cmes.2024.056937 - 31 October 2024

    Abstract This study aims to develop a computational pathology approach that can properly detect and distinguish histology nuclei. This is crucial for histopathological image analysis, as it involves segmenting cell nuclei. However, challenges exist, such as determining the boundary region of normal and deformed nuclei and identifying small, irregular nuclei structures. Deep learning approaches are currently dominant in digital pathology for nucleus recognition and classification, but their complex features limit their practical use in clinical settings. The existing studies have limited accuracy, significant processing costs, and a lack of resilience and generalizability across diverse datasets. We… More >

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