Amber Hassan¹, Badr Hafiz², Taghreed Alsinani³, Rakan Bokhari⁴, Dahlia Mirdad⁵, Awab Tayyib⁵, Alaa Alkhotani⁶, Ahmad Fallata⁷, Iman Mirza⁸, Eyad Faizo^9,10, Saleh Baeesa², Huda Alghefari¹¹, Maher Kurdi^11,*

Oncology Research, Vol.33, No.11, pp. 3293-3325, 2025, DOI:10.32604/or.2025.070031 - 22 October 2025

Abstract Background: Glioblastoma (GBM) remains the most aggressive primary brain tumour in adults, marked by pronounced cellular heterogeneity, diffuse infiltration, and resistance to conventional treatment. In recent years, transcriptomic profiling has provided valuable insights into the molecular mechanisms that govern the progression of glioblastoma. This systematic review aims to synthesise the current literature on dysregulated gene expression in GBM, focusing on gene signatures associated with stemness, immune modulation, extracellular matrix remodelling, metabolic adaptation, and therapeutic resistance. Methods: We conducted a systematic search of PubMed, The Cancer Genome Atlas (TCGA), Chinese Glioma Genome Atlas (CGGA), and the GlioVis… More >

PRATIBHA SUKU¹, AISHWARYA DASH¹, ARAVIND RADHAKRISHNAN¹, PANKAJ MALHOTRA², MAN UPDESH SINGH SACHDEVA^1,*

Oncology Research, Vol.33, No.5, pp. 1055-1068, 2025, DOI:10.32604/or.2024.055154 - 18 April 2025

Abstract Circulating plasma cells (CPCs) in patients of plasma cell neoplasm have been an area of intense research in recent decades. Circulating tumor plasma cells (CTPCs) might represent a sub-clone of tumor cells that have exited into peripheral blood as a result of the dynamic interactions between the bone marrow (BM) microenvironment and neoplastic plasma cells. Chemokine receptors like chemokine receptor 4 (CXCR4) and integrins are known to play a role in homing and migration of plasma cells (PCs). The hypoxic microenvironment in the BM niche also contributes to their circulation through various mechanisms. In addition,… More >

Almagul Kurmanova^1,2, Gulfairuz Urazbayeva³, Laura Kayupova², Damilya Salimbaeva², Nurzhamal Dzhardemalieva⁴

European Cytokine Network, Vol.35, No.2, pp. 21-27, 2024, DOI:10.1684/ecn.2024.0497 - 05 January 2026

Abstract The aim of the present study was to evaluate the diagnostic significance of the dynamics of cytokines and growth factors during pregnancy with and without preeclampsia. The study included 168 pregnant women at risk of hypertensive disorders. The levels of biomarkers of all pregnant women were studied at 12-16 weeks, 28-30 weeks and 36-38 weeks. These included cytokines (tumour necrosis factor-α, interferon-γ, interleukin-4) and growth factors (placental growth factor, vascular endothelial growth factor). All pregnant women were divided into two groups: 124 patients with preeclampsia and 44 without preeclampsia (control group). In patients with preeclampsia,… More >

D. Banumathy^1,*, Osamah Ibrahim Khalaf², Carlos Andrés Tavera Romero³, P. Vishnu Raja⁴, Dilip Kumar Sharma⁵

Computer Systems Science and Engineering, Vol.48, No.3, pp. 863-866, 2024, DOI:10.32604/csse.2024.053657 - 20 May 2024

Abstract This article has no abstract. More >

Imad Saud Al Naimi^1,2,*, Syed Alwee Aljunid Syed Junid¹, Muhammad lmran Ahmad^1,*, K. Suresh Manic^2,3

CMC-Computers, Materials & Continua, Vol.79, No.2, pp. 2585-2608, 2024, DOI:10.32604/cmc.2024.046461 - 15 May 2024

Abstract Augmentation of abnormal cells in the brain causes brain tumor (BT), and early screening and treatment will reduce its harshness in patients. BT’s clinical level screening is usually performed with Magnetic Resonance Imaging (MRI) due to its multi-modality nature. The overall aims of the study is to introduce, test and verify an advanced image processing technique with algorithms to automatically extract tumour sections from brain MRI scans, facilitating improved accuracy. The research intends to devise a reliable framework for detecting the BT region in the two-dimensional (2D) MRI slice, and identifying its class with improved… More >

M. Muthalakshmi^1,*, T. Merlin Inbamalar², C. Chandravathi³, K. Saravanan⁴

Computer Systems Science and Engineering, Vol.46, No.1, pp. 735-747, 2023, DOI:10.32604/csse.2023.032449 - 20 January 2023

Abstract This research work develops new and better prognostic markers for predicting Childhood MedulloBlastoma (CMB) using a well-defined deep learning architecture. A deep learning architecture could be designed using ideas from image processing and neural networks to predict CMB using histopathological images. First, a convolution process transforms the histopathological image into deep features that uniquely describe it using different two-dimensional filters of various sizes. A 10-layer deep learning architecture is designed to extract deep features. The introduction of pooling layers in the architecture reduces the feature dimension. The extracted and dimension-reduced deep features from the arrangement More >

Muhammad Javaid Iqbal¹, Muhammad Waseem Iqbal², Muhammad Anwar^3,*, Muhammad Murad Khan⁴, Abd Jabar Nazimi⁵, Mohammad Nazir Ahmad⁶

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 5267-5281, 2023, DOI:10.32604/cmc.2023.033024 - 28 December 2022

Abstract The brain tumour is the mass where some tissues become old or damaged, but they do not die or not leave their space. Mainly brain tumour masses occur due to malignant masses. These tissues must die so that new tissues are allowed to be born and take their place. Tumour segmentation is a complex and time-taking problem due to the tumour’s size, shape, and appearance variation. Manually finding such masses in the brain by analyzing Magnetic Resonance Images (MRI) is a crucial task for experts and radiologists. Radiologists could not work for large volume images… More >

D. Banumathy^1,*, Osamah Ibrahim Khalaf², Carlos Andrés Tavera Romero³, P. Vishnu Raja⁴, Dilip Kumar Sharma⁵

Computer Systems Science and Engineering, Vol.44, No.1, pp. 595-612, 2023, DOI:10.32604/csse.2023.025611 - 01 June 2022

Abstract The most salient argument that needs to be addressed universally is Early Breast Cancer Detection (EBCD), which helps people live longer lives. The Computer-Aided Detection (CADs)/Computer-Aided Diagnosis (CADx) system is indeed a software automation tool developed to assist the health professions in Breast Cancer Detection and Diagnosis (BCDD) and minimise mortality by the use of medical histopathological image classification in much less time. This paper purposes of examining the accuracy of the Convolutional Neural Network (CNN), which can be used to perceive breast malignancies for initial breast cancer detection to determine which strategy is efficient… More >

K. Dinesh Babu^1,*, C. Senthil Singh²

Computer Systems Science and Engineering, Vol.44, No.1, pp. 709-720, 2023, DOI:10.32604/csse.2023.024295 - 01 June 2022

Abstract Brain tumors are potentially fatal presence of cancer cells over a human brain, and they need to be segmented for accurate and reliable planning of diagnosis. Segmentation process must be carried out in different regions based on which the stages of cancer can be accurately derived. Glioma patients exhibit a different level of challenge in terms of cancer or tumors detection as the Magnetic Resonance Imaging (MRI) images possess varying sizes, shapes, positions, and modalities. The scanner used for sensing the location of tumors cells will be subjected to additional protocols and measures for accuracy,… More >

Federica Caldaroni¹, Massimo Chessa², Alessandro Varrica¹, Alessandro Giamberti^1,*

Congenital Heart Disease, Vol.17, No.4, pp. 491-494, 2022, DOI:10.32604/chd.2022.019119 - 04 July 2022

Abstract Multimodal imaging, including augmented or mixed reality, transforms the physicians’ interaction with clinical imaging, allowing more accurate data interpretation, better spatial resolution, and depth perception of the patient’s anatomy. We successfully overlay 3D holographic visualization to magnetic resonance imaging images for preoperative decision making of a complex case of cardiac tumour in a 7-year-old girl. More >