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Search Results (22)
  • Open Access

    ARTICLE

    CYP19A1 Silencing Inhibits Cell Proliferation and Endoplasmic Reticulum Stress in Stomach Adenocarcinoma

    Yi Jin1, Zexing Shan2, Fan Yang1, Xinwen Fan1, Jie Lin3, Zeqing Huang1,*, Xudong Zhu3,4,*

    Oncology Research, Vol.33, No.10, pp. 2937-2960, 2025, DOI:10.32604/or.2025.062250 - 26 September 2025

    Abstract Background: As a major histopathological subtype of gastric cancer (GC), stomach adenocarcinoma (STAD) is an important malignant tumor in the digestive system. Increasing evidence also indicates that endoplasmic reticulum (ER) stress plays a pivotal role in the pathogenesis and progression of GC. Therefore, this study aims to screen and identify vital ER stress-related genes that could contribute to the malignant development and poor prognosis for STAD. Methods: A novel ER stress-related risk score signature was developed employing machine learning techniques. Then, a prognostic prediction nomogram was also built based on the clinicopathological characteristics and the… More > Graphic Abstract

    CYP19A1 Silencing Inhibits Cell Proliferation and Endoplasmic Reticulum Stress in Stomach Adenocarcinoma

  • Open Access

    ARTICLE

    A Nomogram for Predicting Survival for Patients with Brain Metastatic and EGFR Mutation Advanced Non-Small Cell Lung Cancer

    JIYUN PANG1,2,#, WEIGANG XIU1,#, YUEYUN CHEN4, WENJING LIAO1,2, QIN ZHANG3,*, HUASHAN SHI4,*

    Oncology Research, Vol.33, No.4, pp. 895-904, 2025, DOI:10.32604/or.2024.053363 - 19 March 2025

    Abstract Background: Non-small cell lung cancer (NSCLC) is often accompanied by brain metastasis (BM), and the prognosis of patients with BM is poor. This study assesses the prognostic impact of BM in NSCLC patients with epidermal growth factor receptor (EGFR) mutations. Methods: We retrospectively evaluated 692 advanced NSCLC patients with EGFR mutations treated with tyrosine kinase inhibitors (TKIs) at West China Hospital from 2015 to 2019. The overall survival rate (OS), progression-free survival rate (PFS), objective response rate (ORR), disease control rate (DCR), and clinical parameters of the BM and non-BM groups were compared. Univariable and multivariable… More >

  • Open Access

    ARTICLE

    White Matter Lesions in Young-Middle Aged Migraineurs with Patent Foreman Ovale: A Case-Control Study

    Yang Hua#, Jinyu Sun#, Yuxuan Lou, Hao Zhang, Jing Shi*, Wei Sun*

    Congenital Heart Disease, Vol.19, No.3, pp. 279-291, 2024, DOI:10.32604/chd.2024.051190 - 26 July 2024

    Abstract Background: White matter lesion (WML) is common in aging brain and is associated with cognitive impairment and dementia. However, recent studies reported an association between patent foramen ovale (PFO) and WML in migraineurs, especially in young, middle-aged migraineurs. Our retrospective, case-control study aims to describe the clinical characteristics of WML in this population and to explore potential risk factors. Methods: 226 patients with migraine and PFO were consecutively initially screened. Relevant factors were selected by the least absolute shrinkage and selection operator (LASSO) regression and multivariable logistic regression model. A Nomogram was employed to visualize… More >

  • Open Access

    ARTICLE

    Bioinformatics comprehensive analysis confirmed the potential involvement of SLC22A1 in lower-grade glioma progression and prognosis

    JING HUI1,2, NANA SUN3, YONG LIU4, CHUNBO YU1,2, YONG KE4, YONG CAO4, ANXIAO YU4, QINGHONG KONG1,2,*, YUN LIU1,2,4,*

    BIOCELL, Vol.48, No.5, pp. 803-815, 2024, DOI:10.32604/biocell.2024.047122 - 06 May 2024

    Abstract Background: Although it has been established that the human Solute Carrier Family 22 (SLC22) functions as a cationic transporter, influencing cellular biological metabolism by modulating the uptake of various cations, its impact on cancer prognosis remains unclear. Methods: We conducted a comprehensive analysis utilizing data from The Cancer Genome Atlas (TCGA) and other databases to assess the prognostic value and functional implications across various tumors. Silence of SLC22A1 RNA in glioma U251 cells was performed to access the impact of SLC22A1 on lower-grade glioma (LGG) progression. Results: Our findings demonstrated a significant correlation between SLC22A1 expression… More >

  • Open Access

    ARTICLE

    A novel prognostic gene signature, nomogram and immune landscape based on tanshinone IIA drug targets for hepatocellular carcinoma: Comprehensive bioinformatics analysis and in vitro experiments

    BOWEN PENG1, YUN GE1, GANG YIN2,3,*

    BIOCELL, Vol.47, No.7, pp. 1519-1535, 2023, DOI:10.32604/biocell.2023.027026 - 21 June 2023

    Abstract Background: Tanshinone IIA, one of the main ingredients of Danshen, is used to treat hepatocellular carcinoma (HCC). However, potential targets of the molecule in the therapy of HCC are unknown. Methods: In this study, we collected the tanshinone IIA targets from public databases for investigation. We screened differentially expressed genes (DEGs) across HCC and normal tissues using mRNA expression profiles from The Cancer Genome Atlas (TCGA). Univariate Cox regression analysis and least absolute shrinkage and selection operator (LASSO) Cox regression models were used to identify and construct the prognostic gene signature. Results: Finally, we discovered common… More >

  • Open Access

    ARTICLE

    Determination of the Postmortem Interval Using Fiber Bragg Grating Sensors

    M. Adjailia1, H. Derbal Habak2,*, Y. Hamaizi1, H. Triki1

    FDMP-Fluid Dynamics & Materials Processing, Vol.19, No.3, pp. 831-844, 2023, DOI:10.32604/fdmp.2022.022162 - 29 September 2022

    Abstract Fiber Bragg grating (FBG) sensors are often used in monitoring activities and to ensure that environmental parameters satisfy industrial requirements. They offer crucial safety measures in the early detection of hazards due to their greatly reduced size, low weight, flexibility, and immunity to electromagnetic interference. These characteristics make FBGs suitable also for use in relation to the human body for in vivo measurements and long-term monitoring. In this study, recent developments are presented with regard to the utilization of these sensors to measure the so-called post-mortem interval (PMI). Such developments rely on numerical simulations based on More >

  • Open Access

    ARTICLE

    Development and Validation of a Nomogram Model to Predict the Prognosis of Intrahepatic Cholangiocarcinoma

    Yi Chen1,#, Liyun Huang1,#, Zuwu Wei1, Xiaoling Liu1, Lihong Chen1,2,*, Bin Wang1,2,*

    Oncologie, Vol.24, No.2, pp. 329-340, 2022, DOI:10.32604/oncologie.2022.022521 - 29 June 2022

    Abstract Background: The effective method for predicting prognosis of ICC is still lack. This study aims to establish and verify an effective prognostic nomogram model for intrahepatic cholangiocarcinoma (ICC) after partial hepatectomy. Materials and Methods: A nomogram model was developed in a cohort of 127 patients from January 2015 to December 2019. General clinical characteristics including preoperative physical examination data and postoperative pathological features were obtained. The independent risk factors identified by univariate and multivariate COX proportional hazards regression models were used to construct nomogram model. Predictive accuracy and discriminative ability were determined using a concordance index and… More >

  • Open Access

    ARTICLE

    Weighted gene co-expression network analysis identifies a novel immune-related gene signature and nomogram to predict the survival and immune infiltration status of breast cancer

    JUNXIA LIU1, KE PANG2, FEI HE2,*

    BIOCELL, Vol.46, No.7, pp. 1661-1673, 2022, DOI:10.32604/biocell.2022.018023 - 17 March 2022

    Abstract Breast cancer is one of the most common cancers in the world and seriously threatens the health of women worldwide. Prognostic models based on immune-related genes help to improve the prognosis prediction and clinical treatment of breast cancer patients. In the study, we used weighted gene co-expression network analysis to construct a co-expression network to screen out highly prognostic immune-related genes. Subsequently, the prognostic immune-related gene signature was successfully constructed from highly immune-related genes through COX regression and LASSO COX analysis. Survival analysis and time receiver operating characteristic curves indicate that the prognostic signature has More >

  • Open Access

    ARTICLE

    A novel prognostic target-gene signature and nomogram based on an integrated bioinformatics analysis in hepatocellular carcinoma

    RUI XU1, QIBIAO WU1, YUHAN GONG2, YONGZHE WU1, QINGJIA CHI1,*, DA SUN3,*

    BIOCELL, Vol.46, No.5, pp. 1261-1288, 2022, DOI:10.32604/biocell.2022.018427 - 06 January 2022

    Abstract There is currently no effective solution to the problem of poor prognosis and recurrence of HCC. The technology of immunotherapy and prognosis of genetic material has made continuous progress in recent years. In the study, a 5-gene signature was established for the prognosis of HCC through biological information, and the immune infiltration of HCC patients was studied. After studied HCC patients’ immune infiltration, the paper screened the differential target genes of miR-126-3p in HCC downloaded from TCGA database, and uses WGCNA method to select the modular genes highly relevant to M2 macrophage. Then we use… More >

  • Open Access

    ARTICLE

    WGCNA and LASSO algorithm constructed an immune infiltration-related 5-gene signature and nomogram to improve prognosis prediction of hepatocellular carcinoma

    MENG FANG1, JING GUO1, HAIPING WANG1, ZICHANG YANG2, HAN ZHAO1,*, QINGJIA CHI2

    BIOCELL, Vol.46, No.2, pp. 401-415, 2022, DOI:10.32604/biocell.2022.016989 - 20 October 2021

    Abstract Hepatocellular carcinoma (HCC) is a common immunogenic malignant tumor. Although the new strategies of immunotherapy and targeted therapy have made considerable progress in the treatment of HCC, the 5-year survival rate of patients is still very low. The identification of new prognostic signatures and the exploration of the immune microenvironment are crucial to the optimization and improvement of molecular therapy strategies. We studied the potential clinical benefits of the inflammation regulator miR-93-3p and mined its target genes. Weighted gene co-expression network analysis (WGCNA), univariate and multivariate COX regression and the LASSO COX algorithm are employed… More >

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