Home / Advanced Search

  • Title/Keywords

  • Author/Affliations

  • Journal

  • Article Type

  • Start Year

  • End Year

Update SearchingClear
  • Articles
  • Online
Search Results (1,098)
  • Open Access

    ARTICLE

    Unveiling the therapeutic potential: KBU2046 halts triple-negative breast cancer cell migration by constricting TGF-β1 activation in vitro

    JINXIA CHEN1,2,3,#, SULI DAI1,2,#, GENG ZHANG4,5, SISI WEI1,2, XUETAO ZHAO3, YANG ZHENG1,2, YAOJIE WANG1,2, XIAOHAN WANG1,2, YUNJIANG LIU4,5,*, LIANMEI ZHAO1,2,*

    Oncology Research, Vol.32, No.11, pp. 1791-1802, 2024, DOI:10.32604/or.2024.049348 - 16 October 2024

    Abstract Background: Triple-negative breast cancer (TNBC) is a heterogeneous, recurring cancer characterized by a high rate of metastasis, poor prognosis, and lack of efficient therapies. KBU2046, a small molecule inhibitor, can inhibit cell motility in malignant tumors, including breast cancer. However, the specific targets and the corresponding mechanism of its function remain unclear. Methods: In this study, we employed (3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H tetrazolium) (MTS) assay and transwell assay to investigate the impact of KBU2046 on the proliferation and migration of TNBC cells in vitro. RNA-Seq was used to explore the targets of KBU2046 that inhibit the motility of TNBC.… More > Graphic Abstract

    Unveiling the therapeutic potential: KBU2046 halts triple-negative breast cancer cell migration by constricting TGF-β1 activation <i>in vitro</i>

  • Open Access

    ARTICLE

    Remodeling tumor microenvironment using pH-sensitive biomimetic co-delivery of TRAIL/R848 liposomes against colorectal cancer

    YONGJIAN HUANG, JINZHOU WANG, JIUHUA XU, NING RUAN*

    Oncology Research, Vol.32, No.11, pp. 1765-1776, 2024, DOI:10.32604/or.2024.045564 - 16 October 2024

    Abstract Background: Despite significant advancements in the development of anticancer therapies over the past few decades, the clinical management of colorectal cancer remains a challenging task. This study aims to investigate the inhibitory effects of cancer-targeting liposomes against colorectal cancer. Materials and Methods: Liposomes consisting of 3β-[N-(N′, N′-dimethylamino ethane)carbamoyl]-cholesterol (DC-CHOL), cholesterol (CHOL), and dioleoylphosphatidylethanolamine (DOPE) at a molar ratio of 1:1:0.5 were created and used as carriers to deliver an apoptosis-inducing plasmid encoding the tumor necrosis factor-related apoptosis-inducing ligand (pTRAIL) gene, along with the toll-like receptor (TLR7) agonist Rsiquimod (R848). The rationale behind this design is that More > Graphic Abstract

    Remodeling tumor microenvironment using pH-sensitive biomimetic co-delivery of TRAIL/R848 liposomes against colorectal cancer

  • Open Access

    ARTICLE

    CircTIAM1 overexpression promotes the progression of papillary thyroid cancer by regulating the miR-338-3p/LASP1 axis

    YE ZHANG1, YANAN LIANG2, YAN WU2, LIWEN SONG2, ZUWANG ZHANG2,*

    Oncology Research, Vol.32, No.11, pp. 1747-1763, 2024, DOI:10.32604/or.2024.030945 - 16 October 2024

    Abstract Background: Papillary thyroid cancer (PTC) is the most prevalent histological type of differentiated thyroid malignancy. Circular RNAs (circRNAs) have been implicated in the pathogenesis and progression of various cancers. circTIAM1 (hsa_circ_0061406) is a novel circRNA with aberrant expression in PTC. However, its functional roles in PTC progression remain to be investigated. Methods: The expression levels of circTIAM1 in the PTC and the matched para-cancerous tissues were detected by quantitative real-time reverse-transcription PCR (qRT-PCR). The subcellular localization of circTIAM1 was examined by fluorescence in-situ hybridization (FISH). Kaplan-Meier plot was used to analyze the association of clinicopathological features… More >

  • Open Access

    ARTICLE

    EfficientNetB1 Deep Learning Model for Microscopic Lung Cancer Lesion Detection and Classification Using Histopathological Images

    Rabia Javed1, Tanzila Saba2, Tahani Jaser Alahmadi3,*, Sarah Al-Otaibi4, Bayan AlGhofaily2, Amjad Rehman2

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 809-825, 2024, DOI:10.32604/cmc.2024.052755 - 15 October 2024

    Abstract Cancer poses a significant threat due to its aggressive nature, potential for widespread metastasis, and inherent heterogeneity, which often leads to resistance to chemotherapy. Lung cancer ranks among the most prevalent forms of cancer worldwide, affecting individuals of all genders. Timely and accurate lung cancer detection is critical for improving cancer patients’ treatment outcomes and survival rates. Screening examinations for lung cancer detection, however, frequently fall short of detecting small polyps and cancers. To address these limitations, computer-aided techniques for lung cancer detection prove to be invaluable resources for both healthcare practitioners and patients alike.… More >

  • Open Access

    ARTICLE

    Enhancing Early Detection of Lung Cancer through Advanced Image Processing Techniques and Deep Learning Architectures for CT Scans

    Nahed Tawfik1,*, Heba M. Emara2, Walid El-Shafai3, Naglaa F. Soliman4, Abeer D. Algarni4, Fathi E. Abd El-Samie4

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 271-307, 2024, DOI:10.32604/cmc.2024.052404 - 15 October 2024

    Abstract Lung cancer remains a major concern in modern oncology due to its high mortality rates and multifaceted origins, including hereditary factors and various clinical changes. It stands as the deadliest type of cancer and a significant cause of cancer-related deaths globally. Early diagnosis enables healthcare providers to administer appropriate treatment measures promptly and accurately, leading to improved prognosis and higher survival rates. The significant increase in both the incidence and mortality rates of lung cancer, particularly its ranking as the second most prevalent cancer among women worldwide, underscores the need for comprehensive research into efficient… More >

  • Open Access

    ARTICLE

    An Improved Artificial Rabbits Optimization Algorithm with Chaotic Local Search and Opposition-Based Learning for Engineering Problems and Its Applications in Breast Cancer Problem

    Feyza Altunbey Özbay1, Erdal Özbay2, Farhad Soleimanian Gharehchopogh3,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1067-1110, 2024, DOI:10.32604/cmes.2024.054334 - 27 September 2024

    Abstract Artificial rabbits optimization (ARO) is a recently proposed biology-based optimization algorithm inspired by the detour foraging and random hiding behavior of rabbits in nature. However, for solving optimization problems, the ARO algorithm shows slow convergence speed and can fall into local minima. To overcome these drawbacks, this paper proposes chaotic opposition-based learning ARO (COARO), an improved version of the ARO algorithm that incorporates opposition-based learning (OBL) and chaotic local search (CLS) techniques. By adding OBL to ARO, the convergence speed of the algorithm increases and it explores the search space better. Chaotic maps in CLS… More > Graphic Abstract

    An Improved Artificial Rabbits Optimization Algorithm with Chaotic Local Search and Opposition-Based Learning for Engineering Problems and Its Applications in Breast Cancer Problem

  • Open Access

    ARTICLE

    An Efficient Technique for One-Dimensional Fractional Diffusion Equation Model for Cancer Tumor

    Daasara Keshavamurthy Archana1, Doddabhadrappla Gowda Prakasha1, Pundikala Veeresha2, Kottakkaran Sooppy Nisar3,4,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.2, pp. 1347-1363, 2024, DOI:10.32604/cmes.2024.053916 - 27 September 2024

    Abstract This study intends to examine the analytical solutions to the resulting one-dimensional differential equation of a cancer tumor model in the frame of time-fractional order with the Caputo-fractional operator employing a highly efficient methodology called the -homotopy analysis transform method. So, the preferred approach effectively found the analytic series solution of the proposed model. The procured outcomes of the present framework demonstrated that this method is authentic for obtaining solutions to a time-fractional-order cancer model. The results achieved graphically specify that the concerned paradigm is dependent on arbitrary order and parameters and also disclose the More >

  • Open Access

    RETRACTION

    Retraction: YEATS domain containing 4 promotes gastric cancer cell proliferation and mediates tumor progression via activating the Wnt/β-Catenin signaling pathway

    Oncology Research Editorial Office

    Oncology Research, Vol.32, No.10, pp. 1697-1698, 2024, DOI:10.32604/or.2024.056918 - 18 September 2024

    Abstract This article has no abstract. More >

  • Open Access

    RETRACTION

    Retraction: miR-203 suppresses bladder cancer cell growth and targets twist1

    Oncology Research Editorial Office

    Oncology Research, Vol.32, No.10, pp. 1693-1694, 2024, DOI:10.32604/or.2024.056909 - 18 September 2024

    Abstract This article has no abstract. More >

  • Open Access

    RETRACTION

    Retraction: MicroRNA-1284 inhibits cell viability and induces apoptosis of ovarian cancer cell line OVCAR3

    Oncology Research Editorial Office

    Oncology Research, Vol.32, No.10, pp. 1689-1690, 2024, DOI:10.32604/or.2024.056905 - 18 September 2024

    Abstract This article has no abstract. More >

Displaying 21-30 on page 3 of 1098. Per Page