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  • Open Access


    Identification of lncRNAs associated with the progression of acute lymphoblastic leukemia using a competing endogenous RNAs network


    Oncology Research, Vol.30, No.6, pp. 259-268, 2022, DOI:10.32604/or.2022.027904

    Abstract Acute lymphoblastic leukemia (ALL) is a malignancy of bone marrow lymphoid precursors. Despite effective treatments, the causes of its progression or recurrence are still unknown. Finding prognostic biomarkers is needed for early diagnosis and more effective treatment. This study was performed to identify long non-coding RNAs (lncRNAs) involved in ALL progression by constructing a competitive endogenous RNA (ceRNA) network. These lncRNAs may serve as potential new biomarkers in the development of ALL. The GSE67684 dataset identified changes in lncRNAs and mRNAs involved in ALL progression. Data from this study were re-analyzed, and probes related to lncRNAs were retrieved. Targetscan, miRTarBase,… More >

  • Open Access


    Latent Space Representational Learning of Deep Features for Acute Lymphoblastic Leukemia Diagnosis

    Ghada Emam Atteia*

    Computer Systems Science and Engineering, Vol.45, No.1, pp. 361-376, 2023, DOI:10.32604/csse.2023.029597

    Abstract Acute Lymphoblastic Leukemia (ALL) is a fatal malignancy that is featured by the abnormal increase of immature lymphocytes in blood or bone marrow. Early prognosis of ALL is indispensable for the effectual remediation of this disease. Initial screening of ALL is conducted through manual examination of stained blood smear microscopic images, a process which is time-consuming and prone to errors. Therefore, many deep learning-based computer-aided diagnosis (CAD) systems have been established to automatically diagnose ALL. This paper proposes a novel hybrid deep learning system for ALL diagnosis in blood smear images. The introduced system integrates the proficiency of autoencoder networks… More >

  • Open Access


    miR-101 Represses T-Cell Acute Lymphoblastic Leukemia by Targeting CXCR7/STAT3 Axis

    Xue-Yi Yang, Ye Sheng

    Oncology Research, Vol.27, No.9, pp. 997-1006, 2019, DOI:10.3727/096504018X15439207752093

    Abstract Although miR-101 is involved in the development and progression of T-cell acute lymphoblastic leukemia (T-ALL), the underlying molecular mechanisms remain unclear. In this article, we report that miR-101 expression was inversely correlated with CX chemokine receptor 7 (CXCR7) level in T-ALL. Introducing miR-101 inhibited T-ALL cell proliferation and invasion in vitro and suppressed tumor growth and lung metastasis in vivo. CXCR7 was identified as a direct target of miR-101. The inhibitory effects of miR-101 were mimicked and counteracted by CXCR7 depletion and overexpression, respectively. Mechanistically, miR-101 targets CXCR7/STAT3 axis to reduce T-ALL growth and metastasis. Overall, these findings implied the… More >

  • Open Access


    NET1 Enhances Proliferation and Chemoresistance in Acute Lymphoblastic Leukemia Cells

    Hongbo Sun*1, Zhifu Zhang*1, Wei Luo*, Junmin Liu*, Ye Lou, Shengmei Xia

    Oncology Research, Vol.27, No.8, pp. 935-944, 2019, DOI:10.3727/096504019X15555388198071

    Abstract Acute lymphoblastic leukemia (ALL) is the most prevalent of pediatric cancers. Neuroepithelial cell-transforming 1 (NET1) has been associated with malignancy in a number of cancers, but the role of NET1 in ALL development is unclear. In the present study, we investigated the effect of NET1 gene in ALL cell proliferation and chemoresistance. We analyzed GEO microarray data comparing bone marrow expression profiles of pediatric B-cell ALL samples and those of age-matched controls. MTT and colony formation assays were performed to analyze cell proliferation. ELISA assays, Western blot analyses, and TUNEL staining were used to detect chemoresistance. We confirmed that NET1… More >

  • Open Access


    Cat-Inspired Deep Convolutional Neural Network for Bone Marrow Cancer Cells Detection

    R. Kavitha1,*, N. Viswanathan2

    Intelligent Automation & Soft Computing, Vol.33, No.2, pp. 1305-1320, 2022, DOI:10.32604/iasc.2022.022816

    Abstract Bone marrow cancer is considered to be the most complex and dangerous disease which results due to an uncontrolled growth of white blood cells called leukocytes. Acute Lymphoblastic Leukemia (ALL) and Multiple Myeloma (MM) are considered to be important categories of bone cancers, which induces a larger number of cancer cells in the bone marrow, results in preventing the production of healthy blood cells. The advent of Artificial Intelligence, especially machine and deep learning, has expanded humanity’s capacity to analyze and detect these increasingly complex diseases. But, accurate detection of cancer cells and reducing the probability of false alarm rates… More >

  • Open Access


    MicroRNA-145-3p suppresses the malignant behaviors of T-cell acute lymphoblastic leukemia Jurkat cells via inhibiting the NFkappaB signaling pathway

    Xin YANG*, Liqun LU, Li HUANG, Jing HE, Jie LV

    BIOCELL, Vol.44, No.1, pp. 101-110, 2020, DOI:10.32604/biocell.2020.08324

    Abstract T-cell acute lymphoblastic leukemia (T-ALL) is a hematological tumor caused by the malignant transformation of immature T-cell progenitor cells. Emerging studies have stated that microRNAs (miRNAs) may play key roles in T-ALL progression. This study aimed to investigate the roles of miR-145-3p in T-ALL cell proliferation, invasion, and apoptosis with the involvement of the nuclear factor-kappaB (NF-κB) signaling pathway. T-ALL Jurkat cells were harvested, and the expression of miR-145-3p and NF-κB-p65 was measured. Gain- and loss-of-functions of miR-145-3p and NF-κB-p65 were performed to identify their roles in the biological behaviors of Jurkat cells, including proliferation, apoptosis, and invasion. Consequently, the… More >

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