Sendhi Tristanti Puspitasari^1,2, Hung-En Liao^1,*, Eri Yanuar Akhmad Budi Sunaryo³, Penta Akhirul Awal⁴

International Journal of Mental Health Promotion, Vol.28, No.6, 2026, DOI:10.32604/ijmhp.2026.078980 - 23 June 2026

Abstract Background: Adolescent girls tend to engage in more sedentary behavior than boys, which is associated with adverse physical and psychosocial outcomes, including depression. This study examined the relationships between sedentary behavior, perceived stress, body mass index (BMI), and depressive symptoms among adolescent girls in Indonesia and tested the mediating roles of perceived stress and BMI. Methods: A cross-sectional survey was conducted among 482 female senior high school students (age 14–20) in Malang City, East Java, Indonesia. Sedentary behavior was assessed by the Adolescent Sedentary Activity Questionnaire (ASAQ) and expressed as total hours/day. Perceived stress was measured… More >

Zahid Javid^1,2, Kush Lohana², Danial Murtaza², William Holderbaum^3,*

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.080073 - 18 June 2026

Abstract This paper introduces a novel hybrid method for Power System State Estimation (PS-SE) that effectively integrates the strengths of Weighted Least Squares (WLS) and the Extended Kalman Filter (EKF) through an adaptive weighting mechanism. The proposed method addresses key challenges in modern PS-SE, including measurement uncertainties, bad data detection and handling, and convergence reliability. By incorporating an adaptive weighting mechanism, the hybrid approach dynamically adjusts estimation parameters based on the quality of the measurements, enabling it to maintain high accuracy for clean data while demonstrating exceptional resilience against outliers and noisy measurements. The performance of… More >

Xiaolan Li^1,2,*, Jinyu Shen^1,2, Jinhuang Liang^1,2, Yanting Wang^1,2

Energy Engineering, Vol.123, No.7, 2026, DOI:10.32604/ee.2026.076521 - 18 June 2026

Abstract The intrinsic volatility and stochasticity of large-scale wind power generation pose significant challenges to grid stability. To address the limitations of conventional models in capturing strong non-stationarity, this study proposes a novel Multi-Stage Adaptive Forecasting Network (MSAF-Net). The framework features a hierarchical signal refinement strategy coupled with an intelligently optimized hybrid predictor. Initially, input redundancy is minimized via Pearson Correlation Coefficient (PCC) analysis to isolate significant meteorological variables. A two-phase decomposition-reconstruction mechanism is then implemented: the wind power series is first decomposed using Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). To optimize the… More >

Oncology Research Editorial Office

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.086722 - 16 June 2026

Abstract This article has no abstract. More >

Liang Li^1,#, Huijuan Liu^1,#, Lianjiang Du², Pan Xi¹, Qian Wang¹, Yanqin Li³, Di Liu^4,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.086717 - 16 June 2026

Abstract This article has no abstract. More >

Ye Ri Han^1,*, Sang Bong Lee^2,3,4,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.079556 - 16 June 2026

Abstract Colorectal cancer liver metastasis (CRLM) remains a leading cause of cancer-related mortality, with clinical outcomes limited by biological heterogeneity and inconsistent therapeutic responses. Despite advances in systemic chemotherapy, targeted agents, immunotherapy, and liver-directed interventions, the translation of preclinical efficacy into clinical benefit remains suboptimal, highlighting the need for predictive experimental models. However, therapeutic efficacy in CRLM is highly model-dependent, and discrepancies between preclinical findings and clinical outcomes often arise from differences in biological fidelity across experimental platforms. This review critically examines preclinical platforms used to study CRLM, with emphasis on orthotopic and metastatic models that More >

Yangyang Zhang^1,2,3,#, Ilyar Mamtili^4,#, Yonghao Chen⁵, Guangjie Ji^1,2,3,*, Chaozhao Liang^1,2,3,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.079316 - 16 June 2026

Abstract Background: Prostate cancer (PCa) responds poorly to immunotherapy. We investigated the myeloid checkpoint TIM3 (HAVCR2) to define its lineage localization and regulatory logic in the PCa microenvironment. Methods: We integrated stage-resolved public single-cell RNA-seq datasets spanning primary PCa, metastatic hormone-sensitive PCa, and castration-resistant PCa. Myeloid compartments were analyzed via differential expression, regulon inference, and ligand–receptor modeling. Clinical relevance was evaluated in the Cancer Genome Atlas prostate adenocarcinoma (TCGA-PRAD) cohort and independent cohorts using a myeloid TIM3 signature. Mechanistic validation was achieved through PR domain zinc finger protein 1 (PRDM1) chromatin immunoprecipitation followed by Chromatin Immunoprecipitation (ChIP)–qPCR… More >

Jian-Lei Kang^1,2, Yu-Jie Xu³, Qi-Tai Zhao⁴, Bing Zhang⁵, Xin Xu^2,*, Bo Yang^1,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.079221 - 16 June 2026

Abstract Background: Glioma is among the most malignant brain tumors, and its heterogeneity contributes significantly to treatment failure. Comprehensive profiling of cellular and molecular heterogeneity across different glioma stages and recurrence states is crucial for understanding therapeutic resistance and identifying novel targets. Accordingly, this study sought to systematically characterize the cellular and molecular heterogeneity of glioma across different stages and recurrence states using single-cell RNA sequencing, and to identify prognostic subtypes and potential therapeutic targets. Methods: We integrated public single-cell RNA sequencing data from glioma specimens, including lower-grade glioma (LGG), glioblastoma (GBM), and paired primary and recurrent… More >

Alessandro Poggi^*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.078483 - 16 June 2026

Abstract The production of murine monoclonal antibodies (mAbs) with defined specificity in 1975 marked the subsequent revolution of cancer therapy. mAbs have been essential to characterize the functional features of molecules involved in cancer cell growth and dissemination. The murine mAbs have been modified to create humanized antibodies and, subsequently, fully human antibodies for cancer therapy, thereby avoiding the side effects of xenogenic protein. The antibody-drug conjugates (ADCs) increased the antitumor effect of mAbs. We will analyze the functional features of ADCs that recognize the cluster differentiation (CD)30 receptor present on some lymphomas and the human… More >

Gabriela R. Barbosa^1,2, Luciana S. B. Dal Col^3,4, Caroline C. Bighetto¹, Maria Carolina X. de Godoy¹, Marina D. B. P. Campioni⁴, Marcus V. Sadi^2,3, Alessandra Gambero^1,2, Leonardo O. Reis^1,2,4,*

Oncology Research, Vol.34, No.7, 2026, DOI:10.32604/or.2026.075738 - 16 June 2026

Abstract Backgrounds: Bacillus Calmette-Guérin (BCG) remains the most effective adjuvant therapy for non-muscle-invasive bladder cancer (NMIBC); however, the immunological underpinnings of its efficacy remain incompletely understood. This study aims to elucidate the dual immunomodulatory roles of BCG by integrating systemic and tumor-intrinsic analyses, through determining the systemic effects of BCG instillation on immune checkpoint expression and direct inflammatory response in a previously established in vitro tumor model. Methods: We investigated systemic and tumor-intrinsic immune responses to BCG. Flow cytometry was used to evaluate immune checkpoint expression on circulating lymphocyte subsets in NMIBC patients (n = 7) at various… More > Graphic Abstract