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  • Open Access

    REVIEW

    Classical biomarkers and non-coding RNAs associated with diagnosis and treatment in gastric cancer

    JINGDAN QUAN1, ZIXIN WAN1, WEI WU2, XINYUAN CAO2, JIAYUAN QIU2, XIAOYE LIU2, ZHIWEI ZHANG1,*

    Oncology Research, Vol.33, No.5, pp. 1069-1089, 2025, DOI:10.32604/or.2025.063005 - 18 April 2025

    Abstract One of the most prevalent malignant tumors worldwide, stomach cancer still has a high incidence and fatality rate in China, and the number of young people developing early-onset gastric cancer is steadily increasing. The 5-year survival rate of stomach cancer is typically 30%–35%, the prognosis is bad, the patients’ quality of life is low, and the progression of advanced gastric cancer cannot be effectively managed despite the use of surgical surgery, chemotherapy, and other medicines. We urgently need molecular biomarkers with high specificity and sensitivity to increase the early gastric cancer detection rate, extend patient… More >

  • Open Access

    ARTICLE

    Deep-piRNA: Bi-Layered Prediction Model for PIWI-Interacting RNA Using Discriminative Features

    Salman Khan1, Mukhtaj Khan1,2, Nadeem Iqbal1, Mohd Amiruddin Abd Rahman3,*, Muhammad Khalis Abdul Karim3

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2243-2258, 2022, DOI:10.32604/cmc.2022.022901 - 29 March 2022

    Abstract Piwi-interacting Ribonucleic acids (piRNAs) molecule is a well-known subclass of small non-coding RNA molecules that are mainly responsible for maintaining genome integrity, regulating gene expression, and germline stem cell maintenance by suppressing transposon elements. The piRNAs molecule can be used for the diagnosis of multiple tumor types and drug development. Due to the vital roles of the piRNA in computational biology, the identification of piRNAs has become an important area of research in computational biology. This paper proposes a two-layer predictor to improve the prediction of piRNAs and their function using deep learning methods. The More >

  • Open Access

    ARTICLE

    Small RNA sequencing revealed aberrant piRNA expression profiles in deciduas of recurrent spontaneous abortion patients

    JIABAO WU1,2,#, XIAOHUA LIU1,2,#, LU HAN1,2, HUA NIE1,2, YUAN TANG1,2, YUNGE TANG1,3, GE SONG1,5, LIXIN ZHENG1,4, WEIBING QIN1,2,*

    BIOCELL, Vol.46, No.4, pp. 1013-1023, 2022, DOI:10.32604/biocell.2022.016744 - 15 December 2021

    Abstract Piwi-interacting RNAs (piRNAs) is a novel class of non-coding RNAs. However, changes in piRNA expression profiles in recurrent spontaneous abortion (RSA) have not yet been investigated. The aim of this study was to identify differentially expressed piRNAs in deciduas of RSA patients. Decidua tissues were collected by curettage from recruited RSA patients and normal early pregnant (NEP) women with their informed consent. Small RNA sequencing was used to evaluate the differences in piRNA expression profiles between RSA and NEP. The present results demonstrated that the counts of total piRNA reads in RSA samples were increased… More >

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