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  • Open Access

    ARTICLE

    Impact of Atrial Septal Defect Closure on Mortality in Older Patients

    Sipawath Khamplod1,2, Yodying Kaolawanich1,2, Khemajira Karaketklang3, Nithima Ratanasit1,2,*

    Congenital Heart Disease, Vol.19, No.1, pp. 93-105, 2024, DOI:10.32604/chd.2024.048631

    Abstract Background: Atrial septal defect (ASD) is a common form of adult congenital heart disease that can lead to long-term adverse outcomes if left untreated. Early closure of ASD has been associated with excellent outcomes and lower complication rates. However, there is limited evidence regarding the prognosis of ASD closure in older adults. This study aims to evaluate the mortality rates in older ASD patients with and without closure. Methods: A retrospective cohort study was conducted on patients aged 40 years or older with ASD between 2001 and 2017. Patients were followed up to assess all-cause mortality. Univariable and multivariable analyses… More > Graphic Abstract

    Impact of Atrial Septal Defect Closure on Mortality in Older Patients

  • Open Access

    ARTICLE

    Identifying and validating MMP family members (MMP2, MMP9, MMP12, and MMP16) as therapeutic targets and biomarkers in kidney renal clear cell carcinoma (KIRC)

    KUNLUN LI1, DANDAN LI2, BARBOD HAFEZ3,*, MOUNIR M. SALEM BEKHIT4, YOUSEF A. BIN JARDAN4, FARS KAED ALANAZI4, EHAB I. TAHA4, SAYED H. AUDA4, FAIQAH RAMZAN5,*, MUHAMMAD JAMIL6

    Oncology Research, Vol.32, No.4, pp. 737-752, 2024, DOI:10.32604/or.2023.042925

    Abstract Kidney Renal Clear Cell Carcinoma (KIRC) is a malignant tumor that carries a substantial risk of morbidity and mortality. The MMP family assumes a crucial role in tumor invasion and metastasis. This study aimed to uncover the mechanistic relevance of the MMP gene family as a therapeutic target and diagnostic biomarker in Kidney Renal Clear Cell Carcinoma (KIRC) through a comprehensive approach encompassing both computational and molecular analyses. STRING, Cytoscape, UALCAN, GEPIA, OncoDB, HPA, cBioPortal, GSEA, TIMER, ENCORI, DrugBank, targeted bisulfite sequencing (bisulfite-seq), conventional PCR, Sanger sequencing, and RT-qPCR based analyses were used in the present study to analyze MMP… More >

  • Open Access

    ARTICLE

    A novel oxaliplatin-resistant gene signatures predicting survival of patients in colorectal cancer

    QIOU GU1, CHUILIN LAI1, XIAO GUAN1, JING ZHU2, TIAN ZHAN1, JIANPING ZHANG1,*

    BIOCELL, Vol.48, No.2, pp. 253-269, 2024, DOI:10.32604/biocell.2023.028336

    Abstract Objectives: Colorectal cancer (CRC) is a serious threat to human health worldwide. Oxaliplatin is a platinum analog and is widely used to treat CRC. However, resistance to oxaliplatin restricts its effectiveness and application while its target recognition and mechanism of action also remain unclear. Therefore, we aimed to develop an oxaliplatin-resistant prognostic model to clarify these aspects. Methods: We first obtained oxaliplatin-resistant and parental cell lines, and identified oxaliplatin-resistant genes using RNA sequencing (RNA-seq) and differential gene analysis. We then acquired relevant data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Cox regression and Least Absolute… More > Graphic Abstract

    A novel oxaliplatin-resistant gene signatures predicting survival of patients in colorectal cancer

  • Open Access

    ARTICLE

    Advancing Brain Tumor Analysis through Dynamic Hierarchical Attention for Improved Segmentation and Survival Prognosis

    S. Kannan1,*, S. Anusuya2

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3835-3851, 2023, DOI:10.32604/cmc.2023.042465

    Abstract Gliomas, the most prevalent primary brain tumors, require accurate segmentation for diagnosis and risk assessment. In this paper, we develop a novel deep learning-based method, the Dynamic Hierarchical Attention for Improved Segmentation and Survival Prognosis (DHA-ISSP) model. The DHA-ISSP model combines a three-band 3D convolutional neural network (CNN) U-Net architecture with dynamic hierarchical attention mechanisms, enabling precise tumor segmentation and survival prediction. The DHA-ISSP model captures fine-grained details and contextual information by leveraging attention mechanisms at multiple levels, enhancing segmentation accuracy. By achieving remarkable results, our approach surpasses 369 competing teams in the 2020 Multimodal Brain Tumor Segmentation Challenge. With… More >

  • Open Access

    ARTICLE

    Characterization of prognosis and immune infiltration by a novel glutamine metabolism-related model in cutaneous melanoma

    MENGQIN ZHU1,2,3,4,#, TIANYI XU5,#, HAN ZHANG3,4, XIN FAN3,4, YULAN WANG6, JIAJIA ZHANG3,4, FEI YU1,2,3,4,*

    BIOCELL, Vol.47, No.9, pp. 1931-1945, 2023, DOI:10.32604/biocell.2023.028968

    Abstract Glutamine metabolism (GM) plays an important role in tumor growth and proliferation. Skin cutaneous melanoma (SKCM) is a glutamine-dependent cancer. However, the molecular characteristics and action mechanism of GM on SKCM remain unclear. Therefore, we aimed to explore the effects of GM-related genes on survival, clinicopathological characteristics, and the tumor microenvironment in SKCM. In this study, 682 SKCM samples were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Consensus clustering was used to classify SKCM samples into distinct subtypes based on 41 GM-related genes. Differences in survival, immune infiltration, clinical characteristics, and Kyoto Encyclopedia of… More > Graphic Abstract

    Characterization of prognosis and immune infiltration by a novel glutamine metabolism-related model in cutaneous melanoma

  • Open Access

    ARTICLE

    Deciphering key genes involved in cisplatin resistance in kidney renal clear cell carcinoma through a combined in silico and in vitro approach

    MUNEEBA MALIK1, MAMOONA MAQBOOL2, TOOBA NISAR3, TAZEEM AKHTER4, JAVED AHMED UJAN5,6, ALANOOD S. ALGARNI7, FAKHRIA A. AL JOUFI8, SULTAN SHAFI K. ALANAZI9, MOHAMMAD HADI ALMOTARED10, MOUNIR M. SALEM BEKHIT11, MUHAMMAD JAMIL12,*

    Oncology Research, Vol.31, No.6, pp. 899-916, 2023, DOI:10.32604/or.2023.030760

    Abstract The low survival rate of Kidney renal clear cell carcinoma (KIRC) patients is largely attributed to cisplatin resistance. Rather than focusing solely on individual proteins, exploring protein-protein interactions could offer greater insight into drug resistance. To this end, a series of in silico and in vitro experiments were conducted to identify hub genes in the intricate network of cisplatin resistance-related genes in KIRC chemotherapy. The genes involved in cisplatin resistance across KIRC were retrieved from the National Center for Biotechnology Information (NCBI) database using search terms as “Kidney renal clear cell carcinoma” and “Cisplatin resistance”. The genes retrieved were analyzed… More >

  • Open Access

    ARTICLE

    Circulating tumor cells: Biological features and survival mechanisms

    XIAOFENG LI1, JINYANG ZHENG2, JINFENG ZHU3, XIN HUANG4, HUANHUAN ZHU5, BINGDI CHEN6,*

    BIOCELL, Vol.47, No.8, pp. 1771-1781, 2023, DOI:10.32604/biocell.2023.028343

    Abstract Circulating tumor cells (CTCs) are neoplastic cells that are detached from primary tumors and enter circulation. Enumeration and characterization of CTCs are of significance in cancer diagnosis, prognosis, and treatment monitoring. CTC survival in the bloodstream is a limiting step for the development of metastases in distant organs. Recent technological advances, especially in single-cell molecular analyses have uncovered heterogeneous CTC survival mechanisms. Undergoing epithelial-to-mesenchymal transition (EMT), increasing stem cell-like properties, and forming cell clusters enable CTCs to adapt to the harsh microenvironment of the circulation. Expressing and releasing several immunosuppressive molecules help CTCs escape from anti-cancer immune mechanisms. This review… More >

  • Open Access

    ARTICLE

    Mutations in epigenetic regulator KMT2C detected by liquid biopsy are associated with worse survival in prostate cancer patients

    SHA ZHU#, NANWEI XU#, JIAYU LIANG, FENGNIAN ZHAO, ZILIN WANG, YUCHAO NI, JINDONG DAI, JINGE ZHAO, XINGMING ZHANG, JUNRU CHEN, GUANGXI SUN, PENGFEI SHEN*, HAO ZENG*

    Oncology Research, Vol.31, No.4, pp. 605-614, 2023, DOI:10.32604/or.2023.028321

    Abstract Background: KMT2 (lysine methyltransferase) family enzymes are epigenetic regulators that activate gene transcription. KMT2C is mainly involved in enhancer-associated H3K4me1, and is also one of the top mutated genes in cancer (6.6% in pan-cancer). Currently, the clinical significance of KMT2C mutations in prostate cancer is understudied. Methods: We included 221 prostate cancer patients diagnosed between 2014 and 2021 in West China Hospital of Sichuan University with cell-free DNA-based liquid biopsy test results in this study. We investigated the association between KMT2C mutations, other mutations, and pathways. Furthermore, we evaluated the prognostic value of KMT2C mutations, measured by overall survival (OS)… More >

  • Open Access

    ARTICLE

    HSPM: A Better Model to Effectively Preventing Open-Source Projects from Dying

    Zhifang Liao1, Fangying Fu1, Yiqi Zhao1, Sui Tan2,3,*, Zhiwu Yu2,3, Yan Zhang4

    Computer Systems Science and Engineering, Vol.47, No.1, pp. 431-452, 2023, DOI:10.32604/csse.2023.038087

    Abstract With the rapid development of Open-Source (OS), more and more software projects are maintained and developed in the form of OS. These Open-Source projects depend on and influence each other, gradually forming a huge OS project network, namely an Open-Source Software ECOsystem (OSSECO). Unfortunately, not all OS projects in the open-source ecosystem can be healthy and stable in the long term, and more projects will go from active to inactive and gradually die. In a tightly connected ecosystem, the death of one project can potentially cause the collapse of the entire ecosystem network. How can we effectively prevent such situations… More >

  • Open Access

    ARTICLE

    Multi-institutional analysis of cervical esophageal carcinoma patients treated with definitive chemoradiotherapy: TROD 01-005 study

    OZAN CEM GULER1,*, EZGI OYMAK2, GOZDE YAZICI3, OZLEM OZKAYA AKAGUNDUZ4, OGUZ CETINAYAK5, PETEK ERPOLAT6, ATIL AKSOY7, MURSEL DUZOVA8, BERNA AKKUS YILDIRIM9, MERAL KURT10, EMINE CANYILMAZ11, GULER YAVAS12, SERAP AKYUREK13, DIDEM COLPAN OKSUZ14, ESRA KAYTAN SAGLAM15, OMUR KARAKOYUN CELIK16, ENIS OZYAR17, MUSTAFA CENGIZ3, CEM ONAL1,2,12

    Oncology Research, Vol.31, No.3, pp. 299-306, 2023, DOI:10.32604/or.2023.028840

    Abstract The aim of this study was to examine the prognostic factors and treatment outcomes of cervical esophageal carcinoma (CEC) patients who underwent definitive chemoradiotherapy (CRT). The clinical data of 175 biopsy-confirmed CEC patients treated with definitive CRT between April 2005 and September 2021 were retrospectively analyzed. The prognostic factors predicting overall survival (OS), progression-free survival (PFS), and local recurrence-free survival (LRFS) were assessed in uni- and multivariable analyses. The median age of the entire cohort was 56 years (range: 26–87 years). All patients received definitive radiotherapy with a median total dose of 60 Gy, and 52% of the patients received… More >

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