Ilias Kainis^*, Nikolaos Syrigos^*, Alexandra Kopitopoulou^*, Ioannis Gkiozos^*, Effrosyni Filiou^*, Vasiliki Nikolaou^*, Evangelia Papadavid^†

Oncology Research, Vol.26, No.1, pp. 59-69, 2018, DOI:10.3727/096504017X14913452320194

Abstract Systematic treatment of advanced non-small cell lung cancer (NSCLC) includes targeted treatment with epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs). The development of skin rash and its intensity have been associated with EGFR TKI’s efficacy. The main purpose of this study was to further investigate the potential value of erlotinib-associated rash as a predictor of prognosis and treatment response in a real-world cohort of patients with advanced NSCLC. The medical records of all NSCLC patients treated with erlotinib at the Oncology Unit of GPP, Sotiria Athens General Hospital between January 1, 2014 and… More >

Yasemin Baskin^*†‡, Gizem Calibasi Kocal^‡§, Betul Bolat Kucukzeybek^¶, Mahdi Akbarpour^#, Nurcin Kayacik^**, Ozgul Sagol^††, Hulya Ellidokuz^†‡‡, Ilhan Oztop^§§

Oncology Research, Vol.24, No.1, pp. 41-53, 2016, DOI:10.3727/096504016X14576297492418

Abstract Most of the gastrointestinal stromal tumors (GISTs) have gain-of-function mutations in the KIT gene, which can be used as a prognostic marker for the biological behavior of tumors, predictive marker for the response of tyrosine kinase inhibitors, and diagnostic marker. Researchers have focused on PDGFRA mutations because of both their prognostic and predictive potential and DOG1 positivity for diagnosis on GISTs. The aim of this study is to investigate the effect DOG1, PDGFRA, and KIT mutations on the prediction of the outcome for GIST management. Polymerase chain reaction was performed for KIT gene exons 9, 11, 13,… 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

Abstract This article has no abstract. More >

VIGNESH BALAJI E¹, DIVYA RAMESH², MANISHA CHUNGAN SHAJU³, AKSHARA KUMAR⁴, SAMYAK PANDEY¹, RAKSHA NAYAK¹, V. ALKA⁵, SRISHTI MUNJAL⁶, AMIR SALIMI⁷, K. SREEDHARA RANGANATH PAI^1,*, SHANKAR M. BAKKANNAVAR²

Oncology Research, Vol.32, No.1, pp. 73-94, 2024, DOI:10.32604/or.2023.030401

Abstract Exosomes, small tiny vesicle contains a large number of intracellular particles that employ to cause various diseases and prevent several pathological events as well in the human body. It is considered a “double-edged sword”, and depending on its biological source, the action of exosomes varies under physiological conditions. Also, the isolation and characterization of the exosomes should be performed accurately and the methodology also will vary depending on the exosome source. Moreover, the uptake of exosomes from the recipients’ cells is a vital and initial step for all the physiological actions. There are different mechanisms More > Graphic Abstract

JIAWEI FU^1,2,3,#, CHUNSHUAI WU^1,2,3,#, GUANHUA XU^1,2,3, JINLONG ZHANG¹, YIQIU LI¹, CHUNYAN JI^1,2,3, ZHIMING CUI^1,2,3,*

BIOCELL, Vol.47, No.4, pp. 739-749, 2023, DOI:10.32604/biocell.2023.026881

Abstract Spinal cord injury (SCI), a complex neurological disorder, triggers a series of devastating neuropathological events such as ischemia, oxidative stress, inflammatory events, neuronal apoptosis, and motor dysfunction. However, the classical necrosome, which consists of receptor-interacting protein (RIP)1, RIP3, and mixed-lineage kinase domain-like protein, is believed to control a novel type of programmed cell death called necroptosis, through tumour necrosis factor-alpha/tumour necrosis factor receptor-1 signalling or other stimuli. Several studies reported that necroptosis plays an important role in neural cell damage, release of intracellular pro-inflammatory factors, lysosomal dysfunction and endoplasmic reticulum stress. Recent research indicates that More >

LI YANG^1,2, KUN DENG³, ZHIQIANG MOU^1,2, PINGFU XIONG^1,2, JIAN WEN^1,2, JING LI^1,2,*

Oncology Research, Vol.30, No.5, pp. 243-258, 2022, DOI:10.32604/or.2022.027958

Abstract Background: Considering the great heterogeneity of Hepatocellular carcinoma (HCC), more accurate prognostic models are urgently needed. This paper combined the advantages of genomics and pathomics to construct a prognostic model. Methods: First, we collected data from hepatocellular carcinoma patients with complete mRNA expression profiles and clinical annotations from the TCGA database. Then, based on immune-related genes, we used random forest plots to screen prognosis-related genes and build prognostic models. Bioinformatics was used to identify biological pathways, evaluate the tumor microenvironment, and perform drug susceptibility testing. Finally, we divided the patients into different subgroups according to the… 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

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 >

Sukhendra Singh¹, Sur Singh Rawat, Manoj Gupta³, B. K. Tripathi⁴, Faisal Alanazi⁵, Arnab Majumdar⁶, Pattaraporn Khuwuthyakorn⁷, Orawit Thinnukool^7,*

CMC-Computers, Materials & Continua, Vol.74, No.2, pp. 3063-3083, 2023, DOI:10.32604/cmc.2023.032363

Abstract Currently, breast cancer has been a major cause of deaths in women worldwide and the World Health Organization (WHO) has confirmed this. The severity of this disease can be minimized to the large extend, if it is diagnosed properly at an early stage of the disease. Therefore, the proper treatment of a patient having cancer can be processed in better way, if it can be diagnosed properly as early as possible using the better algorithms. Moreover, it has been currently observed that the deep neural networks have delivered remarkable performance for detecting cancer in histopathological… More >

KAI WANG^2,#, FENGTIAN ZHANG^1,3,4,#, CHANGLONG WEN⁵, ZHIHUA HUANG⁶, ZHIHAO HU¹, YUWEN ZHANG¹, FUQIANG HU^2,*, LIJUAN WEN^1,6,*

Oncology Research, Vol.29, No.5, pp. 351-363, 2021, DOI:10.32604/or.2022.025696

Abstract The blood-brain barrier (BBB) is an essential component in regulating and maintaining the homeostatic microenvironment of the central nervous system (CNS). During the occurrence and development of glioblastoma (GBM), BBB is pathologically destroyed with a marked increase in permeability. Due to the obstruction of the BBB, current strategies for GBM therapeutics still obtain a meager success rate and may lead to systemic toxicity. Moreover, chemotherapy could promote pathological BBB functional restoration, which results in significantly reduced intracerebral transport of therapeutic agents during multiple administrations of GBM and the eventual failure of GBM chemotherapy. The effective More >

K. Shankar¹, E. Laxmi Lydia², Sachin Kumar^1,*, Ali S. Abosinne³, Ahmed alkhayyat⁴, A. H. Abbas⁵, Sarmad Nozad Mahmood⁶

CMC-Computers, Materials & Continua, Vol.73, No.3, pp. 4541-4557, 2022, DOI:10.32604/cmc.2022.031247

Abstract Oral Squamous Cell Carcinoma (OSCC) is a type of Head and Neck Squamous Cell Carcinoma (HNSCC) and it should be diagnosed at early stages to accomplish efficient treatment, increase the survival rate, and reduce death rate. Histopathological imaging is a wide-spread standard used for OSCC detection. However, it is a cumbersome process and demands expert’s knowledge. So, there is a need exists for automated detection of OSCC using Artificial Intelligence (AI) and Computer Vision (CV) technologies. In this background, the current research article introduces Improved Slime Mould Algorithm with Artificial Intelligence Driven Oral Cancer Classification… More >