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  • Open Access

    ARTICLE

    A Work Review on Clinical Laboratory Data Utilizing Machine Learning Use-Case Methodology

    Uma Ramasamy*, Sundar Santhoshkumar

    Journal of Intelligent Medicine and Healthcare, Vol.2, pp. 1-14, 2024, DOI:10.32604/jimh.2023.046995

    Abstract More than 140 autoimmune diseases have distinct autoantibodies and symptoms, and it makes it challenging to construct an appropriate model using Machine Learning (ML) for autoimmune disease. Arthritis-related autoimmunity requires special attention. Although many conventional biomarkers for arthritis have been established, more biomarkers of arthritis autoimmune diseases remain to be identified. This review focuses on the research conducted using data obtained from clinical laboratory testing of real-time arthritis patients. The collected data is labelled the Arthritis Profile Data (APD) dataset. The APD dataset is the retrospective data with many missing values. We undertook a comprehensive APD dataset study comprising four… More >

  • Open Access

    REVIEW

    Circular RNAs in breast cancer diagnosis, treatment and prognosis

    XIAOJIA HUANG1,#, CAILU SONG2,#, JINHUI ZHANG2, LEWEI ZHU3,*, HAILIN TANG2,*

    Oncology Research, Vol.32, No.2, pp. 241-249, 2024, DOI:10.32604/or.2023.046582

    Abstract Breast cancer has surpassed lung cancer to become the most common malignancy worldwide. The incidence rate and mortality rate of breast cancer continue to rise, which leads to a great burden on public health. Circular RNAs (circRNAs), a new class of noncoding RNAs (ncRNAs), have been recognized as important oncogenes or suppressors in regulating cancer initiation and progression. In breast cancer, circRNAs have significant roles in tumorigenesis, recurrence and multidrug resistance that are mediated by various mechanisms. Therefore, circRNAs may serve as promising targets of therapeutic strategies for breast cancer management. This study reviews the most recent studies about the… More >

  • Open Access

    ARTICLE

    NAD+ associated genes as potential biomarkers for predicting the prognosis of gastric cancer

    XIANGDONG SUN1,2,#, HUIJUAN WEN1,2,#, FAZHAN LI1,2, IHTISHAM BUKHARI1,2, FEIFEI REN1,2, XIA XUE1,2, PENGYUAN ZHENG1,2,*, YANG MI1,2,*

    Oncology Research, Vol.32, No.2, pp. 283-296, 2024, DOI:10.32604/or.2023.044618

    Abstract Nicotinamide adenine dinucleotide (NAD+) plays an essential role in cellular metabolism, mitochondrial homeostasis, inflammation, and senescence. However, the role of NAD+-regulated genes, including coding and long non-coding genes in cancer development is poorly understood. We constructed a prediction model based on the expression level of NAD+ metabolism-related genes (NMRGs). Furthermore, we validated the expression of NMRGs in gastric cancer (GC) tissues and cell lines; additionally, β-nicotinamide mononucleotide (NMN), a precursor of NAD+, was used to treat the GC cell lines to analyze its effects on the expression level of NMRGs lncRNAs and cellular proliferation, cell cycle, apoptosis, and senescence-associated secretory… More > Graphic Abstract

    NAD+ associated genes as potential biomarkers for predicting the prognosis of gastric cancer

  • Open Access

    ARTICLE

    Polo-like kinase 1 as a biomarker predicts the prognosis and immunotherapy of breast invasive carcinoma patients

    JUAN SHEN1,#, WEIYU ZHANG2,3,#, QINQIN JIN2,3,#, FUYU GONG4,#, HEPING ZHANG5, HONGLIANG XU5, JIEJIE LI2,3, HUI YAO2,3, XIYA JIANG2,3, YINTING YANG2,3, LIN HONG2,3, JIE MEI2,3, YANG SONG6,*, SHUGUANG ZHOU2,3,7,*

    Oncology Research, Vol.32, No.2, pp. 339-351, 2024, DOI:10.32604/or.2023.030887

    Abstract Background: Invasive breast carcinoma (BRCA) is associated with poor prognosis and high risk of mortality. Therefore, it is critical to identify novel biomarkers for the prognostic assessment of BRCA. Methods: The expression data of polo-like kinase 1 (PLK1) in BRCA and the corresponding clinical information were extracted from TCGA and GEO databases. PLK1 expression was validated in diverse breast cancer cell lines by quantitative real-time polymerase chain reaction (qRT-PCR) and western blotting. Single sample gene set enrichment analysis (ssGSEA) was performed to evaluate immune infiltration in the BRCA microenvironment, and the random forest (RF) and support vector machine (SVM) algorithms… More >

  • Open Access

    REVIEW

    A perspective on molecular and cellular biology-based developmental toxicology biomarkers

    SUKHENDU DEY1,#, SANDIPAN PAL2,#, APURBA RATAN GHOSH1, PALAS SAMANTA3,*

    BIOCELL, Vol.47, No.12, pp. 2579-2590, 2023, DOI:10.32604/biocell.2023.031114

    Abstract The process of development is intricate and couple-dependent phenomenon. Accordingly, the study of molecular and cellular biology-based developmental toxicology biomarkers increasingly is becoming an important part of risk assessment and management of chemicals for detection of health outcomes and/or biological endpoint like cytotoxicity, cell death, etc. Since, the evolution of developmental toxicology field a number of tools/markers have been developed or addressed to deal with developmental outcomes, which can ultimately be used for the development of adverse outcome pathways (AOPs) of developmental toxicants. As a result, this paper provides an overview of the current state of developmental toxicology biomarkers and… More >

  • Open Access

    ARTICLE

    Diagnostic and classification value of immune-related lncRNAs in dilated cardiomyopathy

    CONGCHEN BAI1, QIHANG KONG2, HAO TANG2, SHUWEN ZHANG2, JUNTENG ZHOU3,*, XIAOJING LIU2,4,*

    BIOCELL, Vol.47, No.11, pp. 2517-2533, 2023, DOI:10.32604/biocell.2023.043864

    Abstract Background: Various physiological mechanisms are linked to dilated cardiomyopathy (DCM) development, including oxidative stress, immune irregularities, inflammation, fibrosis, and genetic changes. However, precise molecular drivers of DCM, especially regarding abnormal immune responses, remain unclear. This study investigates immune-related long non-coding RNAs (lncRNAs) in DCM’s diagnostic and therapeutic potential. Methods: GSE141910, GSE135055, and GSE165303 datasets were acquired from the GEO database. LASSO, SVM-RFE, and random forest algorithms identified DCM-associated immune-related lncRNAs. Diagnostic capabilities were assessed by Nomogram and receiver operating characteristic (ROC) curves. Multivariate linear regression explored lncRNA correlations with ejection fraction. Single-sample gene set enrichment analysis (ssGSEA) gauged immune cell… More > Graphic Abstract

    Diagnostic and classification value of immune-related lncRNAs in dilated cardiomyopathy

  • Open Access

    ARTICLE

    FGD5 as a novel prognostic biomarker and its association with immune infiltrates in lung adenocarcinoma

    ZHONGXIANG TANG1,2, LILI WANG1,2, GUOJUN WU1,2, LING QIN1,2,*, YURONG TAN1,2,*

    BIOCELL, Vol.47, No.11, pp. 2503-2516, 2023, DOI:10.32604/biocell.2023.031565

    Abstract Background: Non-small cell lung cancer (NSCLC) has a poor prognosis with a low 5-year survival rate. Lung adenocarcinoma (LUAD) accounts for 50%. Facio-genital dysplasia-5 (FGD5), a member of a subfamily of Rho GTP-GDP exchange factors, may be a good molecular biomarker for diagnosis and prognosis. Objective: To explore the clinical application of FGD5, the study was designed to investigate the prognosis value of FGD5 expression and its correlation with immune infiltrates in LUAD patients. Methods: Through the Wilcoxon signed-rank test and logistic regression, the correlation between clinical characteristics and FGD5 expression was analyzed. Kaplan–Meier plotter analysis, Cox regression, and a… More > Graphic Abstract

    FGD5 as a novel prognostic biomarker and its association with immune infiltrates in lung adenocarcinoma

  • Open Access

    ARTICLE

    Aryl hydrocarbon receptor nuclear translocator 2 as a prognostic biomarker and immunotherapeutic indicator for clear cell renal cell carcinoma

    RENLONG ZHOU1,2,#, SHUANG LI3,#, XILIN XIAO1,*

    BIOCELL, Vol.47, No.11, pp. 2397-2408, 2023, DOI:10.32604/biocell.2023.030281

    Abstract Background: In many cancer types, aryl hydrocarbon receptor nuclear translocator 2 (ARNT2) has been found to be associated with tumor cell proliferation and prognosis. However, the role of ARNT2 in clear cell renal cell carcinoma (ccRCC) has not been completely elucidated. In this study, the potential role of ARNT2 in ccRCC development was characterized. Methods: A pan-cancer dataset (TCGA-TARGET-GTEx) was accessed from UCSC Xena Data Browser. ARNT2 expression in normal and tumor samples was compared. Univariate Cox regression was performed to evaluate the prognostic value of ARNT2. Single sample gene set enrichment analysis (ssGSEA) was used to estimate the enrichment… More >

  • Open Access

    REVIEW

    The bacterial small RNAs: The new biomarkers of oral microbiota-associated cancers and diseases

    MENGYING MAO1,2,3,#, TING DONG1,2,3,#, YANJING LIANG3,4, KEYONG YUAN1,2,3, QIAOQIAO JIN1,2,3, PENGFEI ZHANG1,2,3, ZHENGWEI HUANG1,2,3,*

    BIOCELL, Vol.47, No.10, pp. 2187-2193, 2023, DOI:10.32604/biocell.2023.042357

    Abstract The oral microbiota is a vital part of the human microbiota that functions in various physiological processes and is highly relevant to cancers and other diseases. With the alterations of host immune competence, the homeostatic balance existing between the oral microbiota and host may be disturbed and result in the development of diseases. Numerous observations have suggested that small RNAs are key regulators of bacterial pathogenesis and bacteria-host interactions. Further, bacterial small RNAs are considered to be promising biomarkers for the development of novel, and efficacious therapies for oral dysbiosis. Mechanistic insights into how oral pathogens communicate with other bacteria… More > Graphic Abstract

    The bacterial small RNAs: The new biomarkers of oral microbiota-associated cancers and diseases

  • Open Access

    REVIEW

    Exploring exosomes to provide evidence for the treatment and prediction of Alzheimer’s disease

    XIANGYU QUAN1, XUETING MA1, GUODONG LI2, XUEQI FU1, JIANGTAO LI1, LINLIN ZENG1,*

    BIOCELL, Vol.47, No.10, pp. 2163-2176, 2023, DOI:10.32604/biocell.2023.031226

    Abstract Exosomes are extracellular vesicles with a 30–150 nm diameter originating from endosomes. In recent years, scientists have regarded exosomes as an ideal small molecule carrier for the targeted treatment of Alzheimer’s disease (AD) across the blood-brain barrier due to their nanoscale size and low immunogenicity. A large amount of evidence shows that exosomes are rich in biomarkers, and it has been found that the changes in biomarker content in blood, cerebrospinal fluid, and urine are often associated with the onset of AD patients. In this paper, some recent advances in the use of exosomes in the treatment of AD are… More > Graphic Abstract

    Exploring exosomes to provide evidence for the treatment and prediction of Alzheimer’s disease

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