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  • Open Access

    ARTICLE

    Elucidating the clinical and immunological value of m6A regulator-mediated methylation modification patterns in adrenocortical carcinoma

    WENHAO XU1,#, HAOMING LI2,#, YASIR HAMEED3, MOSTAFA A. ABDEL-MAKSOUD4, SAEEDAH MUSAED ALMUTAIRI4, AYMAN MUBARAK4, MOHAMMED AUFY5, WAEL ALTURAIKI6, ABDULAZIZ J. ALSHALANI6, AYMAN M. MAHMOUD7,*, CHEN LI8,*

    Oncology Research, Vol.31, No.5, pp. 819-831, 2023, DOI:10.32604/or.2023.029414 - 21 July 2023

    Abstract N6-methyladenosine methylation (m6A) is a common type of epigenetic alteration that prominently affects the prognosis of tumor patients. However, it is unknown how the m6A regulator affects the tumor microenvironment (TME) cell infiltration in adrenocortical carcinoma (ACC) and how it affects the prognosis of ACC patients yet. The m6A alteration patterns of 112 ACC patients were evaluated, furthermore, the association with immune infiltration cell features was investigated. The unsupervised clustering method was applied to typify the m6A alteration patterns of ACC patients. The principal component analysis (PCA) technique was taken to create the m6A score… More >

  • Open Access

    ARTICLE

    LncRNA CACNA1G-AS1 up-regulates FTH1 to inhibit ferroptosis and promote malignant phenotypes in ovarian cancer cells

    YANPING JIN1, JIANPING QIU1, XIUFANG LU1, YAN MA1, GUOWEI LI2,*

    Oncology Research, Vol.31, No.2, pp. 169-179, 2023, DOI:10.32604/or.2023.027815 - 10 April 2023

    Abstract Previous study revealed that ferritin heavy chain-1 (FTH1) could regulate ferritinophagy and affect intracellular Fe2+ content in various tumors, while its N6-methyladenosine (m6A) RNA methylation was closely related the prognosis of ovarian cancer patients. However, little is known about the role of FTH1 m6A methylation in ovarian cancer (OC) and its possible action mechanisms. In this study we constructed FTH1 m6A methylation regulatory pathway (LncRNA CACNA1G-AS1/IGF2BP1) according to related bioinformatics analysis and research, through clinical sample detections we found that these pathway regulatory factors were significantly up-regulated in ovarian cancer tissues, and their expression levels were More >

  • Open Access

    ARTICLE

    MELLT3 protects against cerebral ischemia-reperfusion (I/R) injury through up-regulation of m6A modification

    JING JIN1,#, XINGHUA WANG2,#, XIAOXIAO ZHENG3, JIAHUA LAN3, LI ZHENG3, YING CAI3, HUI CHEN4, HONGWEI WANG5,*, LIFANG ZHENG6,*

    BIOCELL, Vol.47, No.3, pp. 619-626, 2023, DOI:10.32604/biocell.2023.026016 - 03 January 2023

    Abstract Ischemic cerebrovascular disease is a leading cause of death globally and is often exacerbated by cerebral ischemic/reperfusion injury (CIRI). The exact mechanisms underlying I/R injury are unclear. In this study, we aimed to determine the role of m6A-modified methylase complex methyltransferase-like 3 (METTL3) in cerebral ischemia-reperfusion (I/R) injury. We found that m6A and METTL3 levels increased in OGD/RX-induced mouse astrocytes-cerebellar (MA-C) and the brain of middle cerebral artery occlusion (MCAO) model mice. METTL3 siRNA treatment reduced OGD-RX-induced MAC cell viability and proliferation, which increased with METTL3 over-expression. Flow cytometry analysis showed that silencing METTL3 significantly enhanced More >

  • Open Access

    ARTICLE

    Tissue specific prediction of N6-methyladenine sites based on an ensemble of multi-input hybrid neural network

    CANGZHI JIA1, DONG JIN1, XIN WANG1, QI ZHAO2,*

    BIOCELL, Vol.46, No.4, pp. 1105-1121, 2022, DOI:10.32604/biocell.2022.016655 - 15 December 2021

    Abstract N6-Methyladenine is a dynamic and reversible post translational modification, which plays an essential role in various biological processes. Because of the current inability to identify m6A-containing mRNAs, computational approaches have been developed to identify m6A sites in DNA sequences. Aiming to improve prediction performance, we introduced a novel ensemble computational approach based on three hybrid deep neural networks, including a convolutional neural network, a capsule network, and a bidirectional gated recurrent unit (BiGRU) with the self-attention mechanism, to identify m6A sites in four tissues of three species. Across a total of 11 datasets, we selected different More >

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