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  • Open Access

    ARTICLE

    Is ypTNM staging a comparable predictor as pTNM staging for survival in non-metastatic rectal cancer after preoperative chemoradiation therapy?

    JEN-PIN CHUANG1,2,3, HSIANG-LIN TSAI4,5, WEI-CHIH SU4,6,7, PO-JUNG CHEN4,6, CHING-WEN HUANG4,5, TSUNG-KUN CHANG4,6,7, YEN-CHENG CHEN4,6, CHING-CHUN LI4,8, YUNG-SUNG YEH4,9,10, TZU-CHIEH YIN4,5,11, JAW-YUAN WANG4,5,6,12,13,*

    Oncology Research, Vol.32, No.11, pp. 1723-1732, 2024, DOI:10.32604/or.2024.052098 - 16 October 2024

    Abstract Background: The pTNM staging system is widely recognized as the most effective prognostic indicator for cancer. The latest update of this staging system introduced a new pathological staging system (ypTNM) for patients receiving neoadjuvant chemoradiotherapy (NACRT). However, whether the prognostic value of the ypTNM staging system for rectal cancer is similar to that of the pTNM staging system remains unclear. This study was conducted to compare the ypTNM and pTNM staging systems in terms of their prognostic value for patients with nonmetastatic rectal cancer undergoing proctectomy. Material and Methods: This study was conducted at a large teaching… More >

  • Open Access

    ARTICLE

    ResMHA-Net: Enhancing Glioma Segmentation and Survival Prediction Using a Novel Deep Learning Framework

    Novsheena Rasool1,*, Javaid Iqbal Bhat1, Najib Ben Aoun2,3, Abdullah Alharthi4, Niyaz Ahmad Wani5, Vikram Chopra6, Muhammad Shahid Anwar7,*

    CMC-Computers, Materials & Continua, Vol.81, No.1, pp. 885-909, 2024, DOI:10.32604/cmc.2024.055900 - 15 October 2024

    Abstract Gliomas are aggressive brain tumors known for their heterogeneity, unclear borders, and diverse locations on Magnetic Resonance Imaging (MRI) scans. These factors present significant challenges for MRI-based segmentation, a crucial step for effective treatment planning and monitoring of glioma progression. This study proposes a novel deep learning framework, ResNet Multi-Head Attention U-Net (ResMHA-Net), to address these challenges and enhance glioma segmentation accuracy. ResMHA-Net leverages the strengths of both residual blocks from the ResNet architecture and multi-head attention mechanisms. This powerful combination empowers the network to prioritize informative regions within the 3D MRI data and capture… More >

  • Open Access

    ARTICLE

    Comparative analysis of breast and lung cancer survival rates and clinical trial enrollments among rural and urban patients in Georgia

    TATIANA KURILO*, REBECCA D. PENTZ

    Oncology Research, Vol.32, No.9, pp. 1401-1406, 2024, DOI:10.32604/or.2024.050266 - 23 August 2024

    Abstract Objectives: Rural patients have poor cancer outcomes and clinical trial (CT) enrollment compared to urban patients due to attitudinal, awareness, and healthcare access differential. Knowledge of cancer survival disparities and CT enrollment is important for designing interventions and innovative approaches to address the stated barriers. The study explores the potential disparities in cancer survival rates and clinical trial enrollments in rural and urban breast and lung cancer patients. Our hypotheses are that for both cancer types, urban cancer patients will have longer 5-year survival rates and higher enrollment rates in clinical trials than those in… More >

  • Open Access

    ARTICLE

    An Improved Iterated Greedy Algorithm for Solving Rescue Robot Path Planning Problem with Limited Survival Time

    Xiaoqing Wang1, Peng Duan1,*, Leilei Meng1,*, Kaidong Yang2

    CMC-Computers, Materials & Continua, Vol.80, No.1, pp. 931-947, 2024, DOI:10.32604/cmc.2024.050612 - 18 July 2024

    Abstract Effective path planning is crucial for mobile robots to quickly reach rescue destination and complete rescue tasks in a post-disaster scenario. In this study, we investigated the post-disaster rescue path planning problem and modeled this problem as a variant of the travel salesman problem (TSP) with life-strength constraints. To address this problem, we proposed an improved iterated greedy (IIG) algorithm. First, a push-forward insertion heuristic (PFIH) strategy was employed to generate a high-quality initial solution. Second, a greedy-based insertion strategy was designed and used in the destruction-construction stage to increase the algorithm’s exploration ability. Furthermore,… More >

  • Open Access

    ARTICLE

    The interplay mechanism between IDH mutation, MGMT-promoter methylation, and PRMT5 activity in the progression of grade 4 astrocytoma: unraveling the complex triad theory

    MAHER KURDI1,*, ALAA ALKHOTANI2, ABDULRAHMAN SABBAGH3, EYAD FAIZO4, AHMED I. LARY5, AHMED K. BAMAGA6, MAJID ALMANSOURI7, BADR HAFIZ8, THAMER ALSHARIF9, SALEH BAEESA8

    Oncology Research, Vol.32, No.6, pp. 1037-1045, 2024, DOI:10.32604/or.2024.051112 - 23 May 2024

    Abstract Background: The dysregulation of Isocitrate dehydrogenase (IDH) and the subsequent production of 2-Hydroxyglutrate (2HG) may alter the expression of epigenetic proteins in Grade 4 astrocytoma. The interplay mechanism between IDH, O-6-methylguanine-DNA methyltransferase (MGMT)-promoter methylation, and protein methyltransferase proteins-5 (PRMT5) activity, with tumor progression has never been described. Methods: A retrospective cohort of 34 patients with G4 astrocytoma is classified into IDH-mutant and IDH-wildtype tumors. Both groups were tested for MGMT-promoter methylation and PRMT5 through methylation-specific and gene expression PCR analysis. Inter-cohort statistical significance was evaluated. Results: Both IDH-mutant WHO grade 4 astrocytomas (n = 22, 64.7%) and IDH-wildtype… More > Graphic Abstract

    The interplay mechanism between IDH mutation, MGMT-promoter methylation, and PRMT5 activity in the progression of grade 4 astrocytoma: unraveling the complex triad theory

  • 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 - 20 March 2024

    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… 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 - 20 March 2024

    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… 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 - 23 February 2024

    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.… 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 - 26 December 2023

    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… 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 - 28 September 2023

    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… More > Graphic Abstract

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

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