HAIQING HU^1,#,*, HAO YANG^2,#, SHUAISHUAI FAN³, XUE JIA³, YING ZHAO³, HONGRUI LI³

Oncology Research, Vol.32, No.8, pp. 1335-1346, 2024, DOI:10.32604/or.2024.044174

Abstract Long non-coding RNAs (lncRNAs) have been implicated in cancer progression and drug resistance development. Moreover, there is evidence that lncRNA HOX transcript antisense intergenic RNA (HOTAIR) is involved in colorectal cancer (CRC) progression. The present study aimed to examine the functional role of lncRNA HOTAIR in conferring radiotherapy resistance in CRC cells, as well as the underlying mechanism. The relative expression levels of HOTAIR were examined in 70 pairs of CRC tumor and para-cancerous tissues, as well as in radiosensitive and radioresistant samples. The correlations between HOTAIR expression levels and clinical features of patients with… More >

Khalid A. Al-Gaadi^1,2, Ahmed M. Zeyada¹, ElKamil Tola^2,*, Abdullah M. Alhamdan^1,3, Khalid A.M. Ahmed^3,4, Rangaswamy Madugundu², Mohamed K. Edrris²

Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1311-1323, 2024, DOI:10.32604/phyton.2024.049535

Abstract From economic and nutritional points of view, tomato is, historically, considered one of the most important crops. Without significant yield reduction, most commercial cultivars of tomato crops are sensitive to moderate levels of salinity. However, high levels of salt stress can negatively affect the yield and quality of tomato fruits. Therefore, this study was conducted to evaluate the yield and fruit quality of three tomato cultivars (Forester, Ghandowra-F1, and Feisty-Red) cultivated hydroponically, under three different levels of nutrient solution salinity. Evaluation of tomato fruits was performed based on quantity (number and weight of fruits, and… More >

HONGBIAO WU^*, DONGFANG LIU

BIOCELL, Vol.48, No.6, pp. 971-980, 2024, DOI:10.32604/biocell.2024.049466

Abstract Background: Colorectal cancer (CRC) represents a substantial risk to public health. Bevacizumab, the first US FDA-approved antiangiogenic drug (AAD) for human CRC treatment, faces resistance in patients. The role of lipid metabolism, particularly through OPA3-regulated lipid droplet production, in overcoming this resistance is under investigation. Methods: The protein expression pattern of OPA3 in CRC primary/normal tissues was evaluated by bioinformatics analysis. OPA3-overexpressed SW-480 and HCT-116 cell lines were established, and bevacizumab resistance and OPA3 effects on cell malignancy were examined. OPA3 protein/mRNA expression and lipid droplet-related genes were measured with Western blot and qRT-PCR. OPA3… More > Graphic Abstract

KIMBERLY FENECH¹, ISAAC MICALLEF^1,2, BYRON BARON^1,*

Oncology Research, Vol.32, No.6, pp. 1047-1061, 2024, DOI:10.32604/or.2024.049173

Abstract Background: Colorectal cancer (CRC) is one of the most frequently diagnosed cancers. In many cases, the poor prognosis of advanced CRC is associated with resistance to treatment with chemotherapeutic drugs such as 5-Fluorouracil (5-FU). The epithelial-to-mesenchymal transition (EMT) and dysregulation in protein methylation are two mechanisms associated with chemoresistance in many cancers. This study looked into the effect of 5-FU dose escalation on EMT and protein methylation in CRC. Materials and Methods: HCT-116, Caco-2, and DLD-1 CRC cell lines were exposed to dose escalation treatment of 5-FU. The motility and invasive potentials of the cells before… More > Graphic Abstract

Fadl Dahan^*

Intelligent Automation & Soft Computing, Vol.39, No.2, pp. 381-395, 2024, DOI:10.32604/iasc.2024.047921

Abstract In the domain of medical imaging, the accurate detection and classification of brain tumors is very important. This study introduces an advanced method for identifying camouflaged brain tumors within images. Our proposed model consists of three steps: Feature extraction, feature fusion, and then classification. The core of this model revolves around a feature extraction framework that combines color-transformed images with deep learning techniques, using the ResNet50 Convolutional Neural Network (CNN) architecture. So the focus is to extract robust feature from MRI images, particularly emphasizing weighted average features extracted from the first convolutional layer renowned for… More >

XUAN SHI^1,2, YUFEN WANG¹, CHENYU LI¹, WANGSHU FU³, XINYUE ZHANG³, AIXIA GONG^1,*

BIOCELL, Vol.48, No.5, pp. 835-845, 2024, DOI:10.32604/biocell.2024.048076

Abstract Background: The incidence of colorectal cancer (CRC) has been increasing in recent years. Thus, the discovery of factors that can assist in alleviating CRC is urgently warranted. Methods: To identify a potential factor involved in the development of CRC, we screened the upregulated genes in tumor tissues through four datasets from an online database. The expression of reticulocalbin 1 (RCN1), a Ca-binding protein, was upregulated in the four datasets. Based on loss-of-function experiments, the effect of RCN1 on cell viability was assessed by Cell Counting Kit-8 (CCK-8) assay. The regulatory effect of RCN1 on apoptosis… More > Graphic Abstract

Cheng Wan¹, Jiani Zhao¹, Xiangqian Hong², Weihua Yang^2,*, Shaochong Zhang^2,*

CMC-Computers, Materials & Continua, Vol.79, No.1, pp. 391-407, 2024, DOI:10.32604/cmc.2024.048307

Abstract Age-related macular degeneration (AMD) ranks third among the most common causes of blindness. As the most conventional and direct method for identifying AMD, color fundus photography has become prominent owing to its consistency, ease of use, and good quality in extensive clinical practice. In this study, a convolutional neural network (CSPDarknet53) was combined with a transformer to construct a new hybrid model, HCSP-Net. This hybrid model was employed to tri-classify color fundus photography into the normal macula (NM), dry macular degeneration (DMD), and wet macular degeneration (WMD) based on clinical classification manifestations, thus identifying and… More >

Yiyi Cen^1,3, Wenzheng Jia², Wen Dai^3,*, Chun Wang⁴, He Wu¹

Revue Internationale de Géomatique, Vol.33, pp. 93-109, 2024, DOI:10.32604/rig.2024.050273

Abstract Color, as a significant element of village landscapes, serves various functions such as enhancing aesthetic appeal and attractiveness, conveying emotions and cultural values. To explore the three-dimensional spatial characteristics of color landscapes in beautiful villages, this study conducted a comparative experiment involving eight provincial-level beautiful villages and eight ordinary villages in Jinzhai County. Landscape pattern indices were used to analyze the color landscape patterns on the facades of these villages, complemented by a quantitative analysis of color attributes using the Munsell color system. The results indicate that (1) Natural landscape colors in beautiful villages are… More >

Umer Sadiq Khan^1,2,*, Zhen Liu^1,2,*, Fang Xu^1,2, Muhib Ullah Khan^3,4, Lerui Chen⁵, Touseef Ahmed Khan^4,6, Muhammad Kashif Khattak⁷, Yuquan Zhang⁸

CMC-Computers, Materials & Continua, Vol.78, No.3, pp. 3323-3348, 2024, DOI:10.32604/cmc.2024.046094

Abstract Image classification and unsupervised image segmentation can be achieved using the Gaussian mixture model. Although the Gaussian mixture model enhances the flexibility of image segmentation, it does not reflect spatial information and is sensitive to the segmentation parameter. In this study, we first present an efficient algorithm that incorporates spatial information into the Gaussian mixture model (GMM) without parameter estimation. The proposed model highlights the residual region with considerable information and constructs color saliency. Second, we incorporate the content-based color saliency as spatial information in the Gaussian mixture model. The segmentation is performed by clustering… More >

SHAN OU^#, YUN XU^#, QINGLAN LIU, TIANWEN YANG, WEI CHEN, XIU YUAN, XIN ZUO, PENG SHI^*, JIE YAO^*

BIOCELL, Vol.48, No.3, pp. 415-429, 2024, DOI:10.32604/biocell.2024.046178

Abstract Background: The interrelation between intestinal polyps, metabolic syndrome (MetS), and colorectal cancer (CRC) is a critical area of study. This research focuses on pinpointing potential molecular targets to understand the link between intestinal polyp formation, metabolic irregularities, and CRC progression. Methods: We examined clinical samples from patients with intestinal polyps coexisting with MetS and compared them with samples from patients with standard intestinal polyps. Transcriptome sequencing and public database analysis were employed to identify significant pathways and genes. These targets were then validated through immunohistochemistry (IHC). Following the RNA interference of key target expression, a… More > Graphic Abstract