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  • Open Access

    REVIEW

    Melatonin Biosynthesis, Growth Regulation, and Adaptability to Environmental Stress in Plants

    Xiaomei He1, Xiaoting Wan1, Muhammad Arif 2, Ziyang Hu1, Haiyu Wang1, Muhammad Aamir Manzoor3,*, Cheng Song1,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 2985-3002, 2025, DOI:10.32604/phyton.2025.070697 - 29 October 2025

    Abstract Melatonin is a multifunctional molecule found in all organisms that has been shown to play a crucial role in plant growth, development, and stress response. Plant melatonin is typically synthesized in organelles termed chloroplasts, and the mechanisms of its synthesis and metabolic pathways have been extensively studied. Melatonin serves a significant regulatory function in plant growth and development, influencing the morphological and physiological characteristics of plants by modulating biological processes. While studies on plant melatonin receptors are in their early stages compared to studies in animal receptors, the binding mechanism with melatonin is now recognized… More >

  • Open Access

    ARTICLE

    Multi-Environment Evaluation of Soybean Genotypes for Yield, Stability, and Trait Associations in Croatia

    Ivica Delic1, Goran Jukic2, Ivan Varnica2, Valentina Spanic3,*

    Phyton-International Journal of Experimental Botany, Vol.94, No.10, pp. 3189-3203, 2025, DOI:10.32604/phyton.2025.070489 - 29 October 2025

    Abstract This study evaluated agro-morphological traits, grain quality traits, and phenotypic stability of nine soybean genotypes across four environments over two growing seasons (2022–2023). Traits such as days to flowering, days to maturity, and disease symptoms were monitored throughout the season. At maturity, parameters including grain yield, grain oil and protein content, 1000-seed weight, test weight, scores of lodgings, shattering, plant height, and first pod height were evaluated. In addition, 18 morphological traits were scored, of which eight were sufficiently variable for further analysis. In terms of environmental stability, genotypes 2 and 13 excelled, while genotypes… More >

  • Open Access

    ARTICLE

    Energy Analysis of the Aircraft Environment Control System Using Air with and without Humidity

    J. E. López-Gil1, J. F. Ituna-Yudonago1,*, V. Pérez-García2, V. Martínez-Calzada3, J. L. Rodríguez-Muñoz4, J. Serrano-Arellano5

    Frontiers in Heat and Mass Transfer, Vol.23, No.5, pp. 1365-1393, 2025, DOI:10.32604/fhmt.2025.068100 - 31 October 2025

    Abstract This paper presents a thermophysical study approach for a pure environmental control system (ECS), incorporating the geometric dimensions of heat exchangers, ram air duct, and air cycle machine (ACM) blades of the Sabreliner’s environmental control system. Real flight scenarios are simulated by considering flight input variables such as altitude, aircraft speed, compression ratio of the air cycle machine, and the mass flow rate of bleed air. The study evaluates the coefficient of performance (COP) of the environmental control system, the heat exchanger efficiencies, and the work distribution of the air cycle machine based on five… More >

  • Open Access

    ARTICLE

    Real-Time Dynamic Multiobjective Path Planning: A Case Study

    Hongle Li1, SeongKi Kim2,*

    CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 5571-5594, 2025, DOI:10.32604/cmc.2025.067424 - 23 October 2025

    Abstract Path planning is a fundamental component in robotics and game artificial intelligence that considerably influences the motion efficiency of robots and unmanned aerial vehicles, as well as the realism and immersion of virtual environments. However, traditional algorithms are often limited to single-objective optimization and lack real-time adaptability to dynamic environments. This study addresses these limitations through a proposed real-time dynamic multiobjective (RDMO) path-planning algorithm based on an enhanced A* framework. The proposed algorithm employs a queue-based structure and composite multiheuristic functions to dynamically manage game tasks and compute optimal paths under changing-map-connectivity conditions in real… More >

  • Open Access

    REVIEW

    Biomass-Derived Carbon-Based Nanomaterials: Current Research, Trends, and Challenges

    Robyn Lesch1, Evan David Visser1, Ntalane Sello Seroka1,2,*, Lindiwe Khotseng1,*

    Journal of Renewable Materials, Vol.13, No.10, pp. 1935-1977, 2025, DOI:10.32604/jrm.2025.02025-0026 - 22 October 2025

    Abstract The review investigates the use of biomass-derived carbon as precursors for nanomaterials, acknowledging their sustainability and eco-friendliness. It examines various types of biomasses, such as agricultural residues and food byproducts, focussing on their transformation via environmentally friendly methods such as pyrolysis and hydrothermal carbonisation. Innovations in creating porous carbon nanostructures and heteroatom surface functionalisation are identified, enhancing catalytic performance. The study also explores the integration of biomass-derived carbon with nanomaterials for energy storage, catalysis, and other applications, noting the economic and environmental benefits. Despite these advantages, challenges persist in optimising synthesis methods and scaling production. More > Graphic Abstract

    Biomass-Derived Carbon-Based Nanomaterials: Current Research, Trends, and Challenges

  • Open Access

    REVIEW

    RNA Expression Signatures in Glioblastoma: A Systematic Review of Tumour Biology and Therapeutic Targets

    Amber Hassan1, Badr Hafiz2, Taghreed Alsinani3, Rakan Bokhari4, Dahlia Mirdad5, Awab Tayyib5, Alaa Alkhotani6, Ahmad Fallata7, Iman Mirza8, Eyad Faizo9,10, Saleh Baeesa2, Huda Alghefari11, Maher Kurdi11,*

    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 >

  • Open Access

    REVIEW

    Reprogramming the Tumor Microenvironment in Head and Neck Squamous Cell Carcinoma: Therapeutic Targets and Innovations

    Bruno Špiljak1,#, Bojan Poposki2,#, Stjepanka Lešić3,*

    Oncology Research, Vol.33, No.11, pp. 3269-3292, 2025, DOI:10.32604/or.2025.068395 - 22 October 2025

    Abstract Head and neck squamous cell carcinoma (HNSCC) is an aggressive cancer with high recurrence rates and prevalent resistance to therapeutic interventions. Tumor behavior is largely dependent on the tumor microenvironment (TME) that includes immune cells, stromal components, cancer-associated fibroblasts (CAFs), the extracellular matrix (ECM), and an associated cytokine network. In this review, we examine principal mechanisms of the tumorigenic transformation, encompassing immune checkpoint disruption, therapy resistance mediated through CAFs, the contribution of hypoxic niches, and several metabolic dependencies that hold potential as future targets. Novel therapeutics developed and/or repurposed, such as immune checkpoint inhibitors (ICIs),… More >

  • Open Access

    ARTICLE

    Diverse PD-1, CD163, and FOXP3 Profiles in Primary and Metastatic Microenvironments of Prostate Cancer

    Ana Clara Ciglioni Salustiano1,2, Gabriela Barbosa1,3,4, Rodolfo Borges dos Reis2,4, Amílcar Castro de Mattos5,6, Athanase Billis6, Leonardo O. Reis1,3,4,*

    Oncology Research, Vol.33, No.11, pp. 3417-3428, 2025, DOI:10.32604/or.2025.068023 - 22 October 2025

    Abstract Objective: The tumor microenvironment plays a pivotal role in prostate cancer progression and may differ across metastatic sites. This study aimed to evaluate and compare the primary and metastatic prostate adenocarcinoma tumor microenvironment. Methods: A total of 27 formalin-fixed paraffin-embedded tissue samples derived from 17 patients diagnosed with prostate adenocarcinoma, including the primary tumors, and the corresponding metastatic lymphatic and hematogenous lesions from various anatomical sites. Immunohistochemical labeling was performed using antibodies against Cluster of Differentiation 3 epsilon chain (CD3e), CD8 alpha chain (CD8a), Cluster of Differentiation 68 (CD68), Cluster of Differentiation 163 (CD163), Forkhead… More > Graphic Abstract

    Diverse PD-1, CD163, and FOXP3 Profiles in Primary and Metastatic Microenvironments of Prostate Cancer

  • Open Access

    REVIEW

    Lactylation in Cancer: Unlocking the Key to Drug Resistance and Therapeutic Breakthroughs

    Xiangnan Feng1,#, Dayong Li2,#, Pingyu Wang1, Xinyu Li2, Guangyao Li2,*

    Oncology Research, Vol.33, No.11, pp. 3327-3346, 2025, DOI:10.32604/or.2025.067343 - 22 October 2025

    Abstract Lactylation, a post-translational modification process that adds lactate groups to lysine residues, plays a crucial role in cancer biology, especially in drug resistance. However, the specific molecular mechanisms of lactylation in cancer progression and drug resistance are still unclear, and therapeutic strategies targeting the lactylation pathway are expected to overcome metabolic reprogramming and immune evasion. Therefore, this article provides a comprehensive description and summary of lactylation modification and tumor drug resistance. Numerous studies have shown that, due to the Warburg effect, there is an abnormally high level of lactate in tumor cells. Elevated levels of… More >

  • Open Access

    ARTICLE

    A Machine-Learning Prognostic Model for Colorectal Cancer Using a Complement-Related Risk Signature

    Jun Li1, Kangmin Yu1, Zhiyong Chen1, Dan Xing2, Binshan Zha1, Wentao Xie1, Huan Ouyang1, Changjun Yu3,*

    Oncology Research, Vol.33, No.11, pp. 3469-3492, 2025, DOI:10.32604/or.2025.066193 - 22 October 2025

    Abstract Objectives: Colorectal cancer (CRC) remains a major contributor to global cancer mortality, ranking second worldwide for cancer-related deaths in 2022, and is characterized by marked heterogeneity in prognosis and therapeutic response. We sought to construct a machine-learning prognostic model based on a complement-related risk signature (CRRS) and to situate this signature within the CRC immune microenvironment. Methods: Transcriptomic profiles with matched clinical annotations from TCGA and GEO CRC cohorts were analyzed. Prognostic CRRS genes were screened using Cox proportional hazards modeling alongside machine-learning procedures. A random survival forest (RSF) predictor was trained and externally validated.… More >

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