bluuebunny/crossref_metadata_2025 huggingface dataset:
Modeling Supply Air Jet of Split Air Conditioner Based on Abramovich Jet Theory and Bayesian Markov Chain Monte Carlo Algorithm
Authors: Li Jing , Ling Jing , Wang Yijin , Lao Chunfeng , Gao Di , Liu Wenchao , Jiang Jinghua , Zhang Sheng
Published: November 2024

Aim: This study aims to develop supply air jet models for split air conditioners. Background: Designing and operating an air conditioning system based on the unique characteristics of the supply air jet is essential to control the draft risk. Motivation: Due to the distinct differences in air supply characteristics of the split air conditioners caused by the intermittent operation and the complex design of supply air outlets, the existing supply air jet models designed for central air conditioning systems are unsuitable for split air conditioners. Significant results: In this study, models for the trajectory position, velocity, and temperature of the supply air jet for split air conditioners are established based on the Abramovich jet theory and Bayesian Markov Chain Monte Carlo (MCMC) algorithm. The effectiveness of the proposed models is demonstrated via comparison with the training dataset from the experimentally validated Computational Fluid Dynamics simulation of a split air conditioner. For the model testing dataset, the RMSEs of trajectory position, velocity, and temperature are 0.01 m, 0.09 m/s, and 0.09 °C, respectively, with a low supply air velocity and 0.01 m, 0.25 m/s, and 0.03 °C with a high supply air velocity. The proposed models of velocity and temperature of the supply air jet are general for various supply air conditions, while coefficients in the trajectory position model of the supply air jet need to be recalibrated with the proposed Bayesian MCMC algorithm for different supply air conditions. The proposed models provide valuable guidance for the operation of split air conditioners.
The Impact of Dependent Behavior on the Design of Classroom Evacuation Exits for Intellectually Disabled Students
Authors: Zhao Xiaochen , Li Guo , Tao Zhiyi , Feng Yongbo , Zhang Hu , Liu Ming , Jia Xiaohu , Ma Yue , Chang Lipeng , Mei Yongfa
Published: November 2024

The increasing demand for special education in architectural design highlights the urgent need to ensure the safe evacuation of students with intellectual disabilities. However, current research on classroom evacuation for these students remains limited, particularly concerning critical factors, such as the number, location, and distance of exits. This study investigated the impact of dependent behavior on classroom exit design for students with intellectual disabilities by developing a Cellular Automaton (CA) model based on their behavioral characteristics. Simulated evacuation scenarios, considering and disregarding dependent behaviors, were analyzed to assess their effects on the number and positioning of exits, and a predictive model was implemented to establish the relationship between exit spacing and evacuation time. The results indicated that the dependent behavior significantly reduced evacuation efficiency and substantially affected classroom exit design. Considering the dependent behavior, this study demonstrated that setting two exits reduced the average evacuation time for students with intellectual disabilities by 12.99%, with further reductions achieved by placing the exits at the rear rather than at the sides or front of the classroom. The research also revealed that under the influence of dependent behavior, the average evacuation time initially decreased and then increased as the distance between exits increased. As one of the few studies addressing evacuation issues for students and the first to incorporate dependent behavior into the evacuation model, this study provides valuable recommendations for classroom designs that balance evacuation safety and daily usability. It offers essential data to inform architectural designs for classrooms serving students with intellectual disabilities and serves as a reference for future educational building design standards and regulations.
Fuzzy Logic-Based Method for Forecasting Project Final Cost
Authors: Alshibani Adel , Hafez Badr Eddin , Hassanain Mohammad A. , Mohammed Awsan , Al-Osta Mohammed , Bahraq Ashraf
Published: November 2024

Forecasting the final cost of construction projects during the construction phases is challenging, particularly for long-duration projects, due to the rise in uncertainties associated with future cost performance index values after report dates and the impact of many factors on cost performance. Current practices, along with existing methods and models, often assume that the cost performance index (CPI) achieved at the report date will continue as is for the remaining work and they fail to assess the risk of cost overruns. This assumption may not be true, as in many cases, the cost performance may change due to the impact of many factors. Thus, this paper aims to introduce a new multi-method fuzzy-based forecasting model to forecast the project’s final cost and to circumvent the limitations and setbacks of the used models and methods. It integrates earned value concepts with expert judgment using fuzzy logic to address the limitations of current practice in forecasting a project’s final cost during construction. Factors influencing future cost performance were identified through conducting in-depth literature reviews and expert interviews. The identified factors were then weighed using the relative importance index and pairwise comparisons. The top five most important factors are labor productivity, rework percentage, manpower availability, subcontractor management, and project plan controllability. These factors were then utilized to define the uncertainty associated with the future cost performance according to a project management team’s experience, using fuzzy numbers for forecasting the project’s final cost. Validation with real construction projects showed that the model provides more accurate predictions of completion costs through straightforward calculations. The model has been implemented in a computer application that is integrated with commercial scheduling software (P6 Professional).
Analysis of the Generation and Spatiotemporal Distributions of Dust During Tunnel Construction
Authors: Wei Yuyang , Jiang Jing , Di Yuhui
Published: November 2024

The dust generated during tunnel construction poses serious health risks to workers, as it not only causes respiratory obstruction but also leads to pneumoconiosis and respiratory failure after prolonged exposure. However, most existing studies focus on specific construction stages or particular particle sizes and often assume an ideal airflow, neglecting the complex flow fields, vortex effects, and dust composition variations at different stages in tunnel and mine construction. This study systematically analyzes the spatiotemporal distribution characteristics of dust at various stages of tunnel construction and proposes targeted prevention and control strategies. On the basis of measured data from three construction stages—the working face, initial support, and secondary lining stages—and SPSS 27 statistical analysis, a dynamic analysis was conducted on the concentration and distribution patterns of total suspended particulates (TSPs) and particulate matter of different sizes (PM10, PM4, PM2.5, and PM1). The results show that coarse particles dominate during the working face stage, whereas fine particles gradually accumulate during the initial support and secondary lining stages. Finally, this work establishes a dust concentration–excavation time/tunnel depth equation and proposes targeted dust control measures. These findings offer important practical value for enhancing construction safety and air quality.
Analysis of Dynamic Characteristics and Seismic Response of Chen Xiang Pavilion in Xi’an Considering the Lower Stylobate
Authors: Liu Kang , Liao Huifang , Xue Bowen , Wu Chenwei , Xue Jianyang , Song Dejun , Xue Hao
Published: November 2024

This paper presents the dynamic characteristics and seismic performance of the Chen Xiang Pavilion in Xi’an and the influence of the lower stylobate on the dynamic response of the upper wooden structure. An in situ dynamic test was conducted under ambient vibration to detect the natural frequencies and vibration modes of the structure. Three numerical models, including the upper wooden structure, the lower stylobate, and the whole structure (wooden structure and stylobate), were established. Dynamic characteristic and seismic response analyses were performed on the calculated models to investigate the influence of the lower stylobate on the dynamic response of the upper wooden structure. The simulation results indicated that the lower stylobate significantly affected the dynamic characteristics of the upper wooden structure above the third order. The seismic responses of the upper wooden structure were amplified because of the lower stylobate. Under different excitations, the displacement response of the whole structure was up to 1.99 times relative to the upper wooden structure, and the structural shear forces were increased by 15.3%. The dynamic amplification coefficient was magnified from 0.742~0.948 to 1.024~1.776. The Chen Xiang Pavilion has a good energy dissipation capacity, but the lower stylobate is unfavorable for its earthquake resistance.
Research on Bearing Capacity of a Novel Prestressed Concrete Prefabricated Foundation with High Uplift Resistance Characteristic
Authors: Zhang Wei , Ding Zhengzhong , Kang Hewen , Lin Pengzhong , Wen Guolu , Yong Deng , Lu Chouxiao , Wang Jiawei , Meng Xiangrui , Rong Kunjie , Tian Li
Published: November 2024

Unlike traditional building structures, transmission tower foundations endure significant vertical and horizontal loads, with particularly high uplift resistance requirements in complex terrains. Moreover, challenges such as difficult material transport and low construction efficiency arise in these regions. This study, based on practical projects, proposes a novel high uplift resistance prestressed concrete prefabricated foundation (HURPCPF) tailored for transmission line systems in complex terrains. A refined finite element model is developed using ABAQUS to analyze its performance under uplift, compressive, and horizontal loads. Comparative studies with cast-in-situ concrete foundations evaluate the HURPCPF’s bearing capacity, while parametric analysis explores the impacts of foundation depth and dimensions. The results show that the proposed HURPCPF exhibits a linear load–displacement relationship, with uniform deformation and good integrity under compressive and uplift conditions. During overturning, the tilt angle is less than 1/500, meeting safety standards. The design of prestressed steel strands and internal reinforcement effectively distributes tensile stress, with a maximum stress of 290 MPa, well below the yield stress of 400 MPa. Compared to cast-in-situ concrete foundations, the displacement at the top of the HURPCPF’s column differs by less than 7%, indicating comparable bearing performance. As foundation depth and size increase, vertical displacement of the HURPCPF decreases, enhancing its uplift resistance.
Experimental Study of Mechanical Behavior of Dry-Stone Structure Contact
Authors: Costa Irieix , Llorens Joan , Chamorro Miquel Àngel , Fontàs Joan , Soler Jordi , Gifra Ester , Savalle Nathanaël
Published: November 2024

Dry-stone structures are traditional constructions that are present everywhere around the world, with their stability working mostly by gravity. Contrarily to their in-plane behavior, their out-of-plane response is very brittle and is fully controlled by the geometry, as well as the contact properties, between units (stones). Two main local failure modes of dry-joint contact are identified to lead to the global failure of the structure: (i) sliding and (ii) joint opening. Most of the existing studies investigated full structures to obtain the global response and/or couplet only, with the aim of only characterizing the contact. The present experimental work studies the effect of sliding and joint opening between stones at different scales: couplets, structures made of a few (up to five) blocks, and full walls, as well as varying the way the masonry units are assembled within a single structure. Different stones are employed to quantify potential differences. All the structures are loaded up to the collapse with a tilting table to induce out-of-plane actions. Repeatability tests are also conducted to better understand the effect of contact variability. This study unveils that the heterogeneity of the dry-joint contact, as well as the repartition of the blocks, affects the global response (both in terms of load capacity and failure mode). It also confirms that the most critical local failure mode is produced by the joint opening.
Effect of Time and Stress on Creep Damage Characteristics of Cement-Based Materials
Authors: Zhang Yifan , Sun Tianxiang , Qin Mingze , Zhang Dongxu , Qin Nan , Wang Yongyan
Published: November 2024

In the realm of daily life, ensuring the safety of building structures and civil engineering projects remains a paramount research focus. The creep properties of materials significantly influence their long-term loading process. Specifically, creep load and creep time are pivotal factors that impact material creep damage, thereby playing a crucial role in assessing the safety of engineering endeavors and estimating aspects such as housing construction. This study undertakes creep damage tests on cement-based materials, subjecting them to varying creep loads and creep times, and subsequently conducts uniaxial compression tests on the specimens post-creep damage. The refined Nishihara model is employed for data fitting, facilitating the construction of a creep damage time-stress model. Concurrently, a Neural Network model is utilized to validate the experimental data. The findings indicate that both steady-state creep strain and steady-state creep rate exhibit discernible trends relative to creep load and creep time, effectively mirroring the alterations in creep damage experienced by the specimens. The refined Nishihara model proves adept at predicting and equating creep damage under diverse creep loads and creep times. Similarly, the trained Neural Network model demonstrates capability in measuring and estimating various creep damages. The study successfully explored the correlation between creep time and creep load, enabling the simulation of long-term creep damage within a shorter creep time and facilitating an analysis of its physical and mechanical properties, which is pivotal in predicting the safety of large-scale engineering projects. Concurrently, it advances research on material damage equivalence, offering insights and theoretical groundwork for developing a system to assess material damage equivalence under various damage conditions.
Seismic Behavior of Resilient Reinforced Concrete Columns with Ultra-High-Strength Rebars Under Strong Earthquake-Induced Multiple Reversed Cyclic Loading
Authors: Wen Yue , Cai Gaochuang , Malla Prafulla Bahadur , Kikuchi Hayato , Xie Cheng
Published: November 2024

The frequent occurrence of major earthquakes highlights the structural challenges posed by long-period ground motions (LPGMs). This study investigates the seismic performance and resilience of five reinforced concrete (RC) columns with different high-strength steel bars under LPGM-induced cyclic loading, both experimentally and numerically. The results show that low-bond and debonded high-strength steel bars significantly enhance self-centering capabilities and reduce residual drift, with lateral force reductions of 7.6% for normal cyclic loading and 19.2% for multiple reversed cyclic loading. The concrete damage in the hinge zone of the columns was increased; however, the significant inside damage of the concrete near the steel bars made it easier to restore the columns for the damage accumulation caused by multiple loading. Based on the experiment, a numerical model was developed for the columns, and a simplified model was proposed to predict energy dissipation capacity, providing practical design methods for resilient RC structures that may be attacked by LPGMs.
Bond-Slip Behavior Between C-Shaped Steel and Foamed Concrete in CTS Composite Structural Members
Authors: Chen Haitao , Wang Yishun , Xu Zhifeng , Shi Fengwei , Lv Haifeng , Zhang Yaoyong , Sun Yanze
Published: November 2024

The bond-slip behavior between cold-formed thin-walled steel (CTS) and foamed concrete (FC) is a critical issue in the mechanical performance of FC-filled CTS composite wall structures. Thus, this study provides experimental and theoretical research on the bond-slip behavior between CTS and FC. A total of eleven specimens were tested using push-out configurations, considering the number of web holes, foamed concrete (FC) strength, anchorage length, and CTS section splice form. A constitutive model for bond-slip was proposed, and the regression formulas for accurately predicting the characteristic bond strength between CTS and foamed concrete were established. A finite element model was developed to investigate the bond-slip mechanism at the interface between CTS and FC. The bond-slip constitutive model accurately fits the experimental and finite element results. The results indicate that the ultimate bond strength of the specimens increases with the number of web holes; when the number of web holes reaches two, the ultimate bond strength is 155.4% of that of the non-perforated specimens. As the concrete strength increases from 3.43 MPa to 11.26 MPa, the ultimate bond strength of specimens with two web holes improves by 23.1%, while non-perforated specimens have a 54.7% enhancement. When the anchorage length is extended from 200 mm to 400 mm, the ultimate bond strength decreases by 29.3%. Additionally, when steel sections are joined in a double-span I form, the bond strength increases by 91.6% and 95.8% compared to the single-span form and the double-span box form, respectively.
Experimental and Theoretical Study on the Crack Defect Effect on the Bearing Capacity of a Rectangular Culvert
Authors: Wang Wanqiong , Peng Shouhai , Chen Xiaolong , Mi Rongxi , Wu Qingqing , Zhang Peng
Published: November 2024

Rectangular culverts are extensively employed in various municipal projects. Due to their frequent placement in weak strata within urban areas, these structures are susceptible to defects like cracks, which can significantly reduce their bearing capacity and even result in collapse or other failures. This study investigates the mechanical behavior of cracked rectangular culverts through laboratory tests, analyzing both the failure mechanisms and the impact of crack depth on the ultimate bearing capacity (UBC) of the culverts. Focusing solely on the effect of crack depth on the UBC of rectangular culverts with defects, this paper establishes fundamental assumptions and proposes a calculation method for the residual bearing capacity (RBC) of rectangular culverts under crack-induced conditions. The theoretical calculations closely align with the experimental results. The findings indicate that (1) the failure process of a rectangular culvert under trilateral normal external load can be categorized into the initial stage with no visible cracks, the crack progression stage, and the final failure stage; (2) the increase in crack depth leads to a decrease in the UBC of the rectangular culvert, indicating that cracks have a negative impact on its bearing capacity; and (3) when the crack depth reaches the protective layer’s thickness, the UBC of the rectangular culvert reduces by over 30%, providing further evidence that an increase in crack depth significantly diminishes its bearing capacity.
Effect of Synthesis Conditions on the Structure and Electrochemical Properties of Vertically Aligned Graphene/Carbon Nanofiber Hybrids
Authors: Khosravifar Mahnoosh , Dasgupta Kinshuk , Shanov Vesselin
Published: November 2024

In recent years, significant efforts have been dedicated to understanding the growth mechanisms behind the synthesis of vertically aligned nanocarbon structures using plasma-enhanced chemical vapor deposition (PECVD). This study explores how varying synthesis conditions, specifically hydrocarbon flow rate, hydrocarbon type, and plasma power,—affect the microstructure, properties, and electrochemical performance of nitrogen-doped vertically aligned graphene (NVG) and nitrogen-doped vertically aligned carbon nanofibers (NVCNFs) hybrids. It was observed that adjustments in these synthesis parameters led to noticeable changes in the microstructure, with particularly significant alterations when changing the hydrocarbon precursor from acetylene to methane. The electrochemical investigation revealed that the sample synthesized at higher plasma power exhibited enhanced electron transfer kinetics, likely due to the higher density of open edges and nitrogen doping level. This study contributes to better understanding the PECVD process for fabricating nanocarbon materials, particularly for sensor applications.
Preclinical Photodynamic Therapy Targeting Blood Vessels with AGuIX® Theranostic Nanoparticles
Authors: Kowolik Ewa , Szczygieł Dariusz , Szczygieł Małgorzata , Drzał Agnieszka , Vemuri Kalyani , Olsson Anna-Karin , Griffioen Arjan W. , Nowak-Sliwinska Patrycja , Wolnicka-Glubisz Agnieszka , Elas Martyna
Published: November 2024

Background: Glioblastoma multiforme (GBM) is the most common highly aggressive, primary malignant brain tumor in adults. Current experimental strategies include photodynamic therapy (PDT) and new drug delivery technologies such as nanoparticles, which could play a key role in the treatment, diagnosis, and imaging of brain tumors. Objectives: The purpose of this study was to test the efficacy of PDT using AGuIX-TPP, a polysiloxane-based nanoparticle (AGuIX) that contains TPP (5,10,15,20-tetraphenyl-21H,23H-porphine), in biological models of glioblastoma multiforme and to investigate the vascular mechanisms of action at multiple complexity levels. Methods: PDT effects were studied in monolayer and spheroid cell culture, as well as tumors in chicken chorioallantoic membranes (CAMs) and in mice were studied. Results: Treatment was effective in both endothelial ECRF and glioma U87 cells, as well as in the inhibition of growth of the glioma spheroids. PDT using AGuIX-TPP inhibited U87 tumors growing in CAM and destroyed their vascularization. The U87 tumors were also grown in nude mice. Their vascular network, as well as oxygen partial pressure, were assessed using ultrasound and EPR oximetry. The treatment damaged tumor vessels and slightly decreased oxygen levels. Conclusions: PDT with AGuIX-TPP was effective against glioma cells, spheroids, and tumors; however, in mice, its efficacy appeared to be strongly related to the presence of blood vessels in the tumor before the treatment.
The Role of Gene Expression Profiling in the Management of Cutaneous Squamous Cell Cancer: A Review
Authors: Durgham Ryan A. , Badders Joel , Nguyen Shaun A. , Olinde Lindsay , Pang John , Nathan Cherie-Ann O.
Published: November 2024

Cutaneous squamous cell carcinoma (cSCC) is the second most common form of skin cancer, with an increasing global incidence. While most cases are successfully treated with surgical excision, a subset can metastasize, leading to significant morbidity and mortality. Current staging systems based on clinical and histopathological features have shown limitations in accurately predicting metastatic risk. This review examines the role of gene expression profiling (GEP), particularly the 40-gene expression profile (40-GEP) test, in improving risk stratification and management of cSCC. We assess the prognostic value of the 40-GEP test, its integration with current staging systems, and its impact on clinical decision-making. Recent studies suggest that incorporating GEP results with traditional staging methods can enhance the identification of high-risk patients, potentially leading to more personalized treatment strategies. The review also explores the challenges of implementing GEP in routine clinical practice, including cost-effectiveness considerations and the need for standardization. Finally, we discuss the implications for future cSCC management and highlight areas for further research. As molecular profiling techniques continue to evolve, GEP represents a promising approach to optimizing care for cSCC patients, aligning with the growing emphasis on personalized medicine in oncology.
Radiomic and Clinical Model in the Prognostic Evaluation of Adenoid Cystic Carcinoma of the Head and Neck
Authors: Rondi Paolo , Tomasoni Michele , Cunha Bruno , Rampinelli Vittorio , Bossi Paolo , Guerini Andrea , Lombardi Davide , Borghesi Andrea , Magrini Stefano Maria , Buglione Michela , Mattavelli Davide , Piazza Cesare , Vezzoli Marika , Farina Davide , Ravanelli Marco
Published: November 2024

Background/Objectives: Adenoid Cystic Carcinoma (AdCC) is a rare malignant salivary gland tumor, with high rates of recurrence and distant metastasis. This study aims to stratify patients Relapse-Free Survival (RFS) using a combined model of clinical and radiomic features from preoperative MRI. Methods: This retrospective study included patients with primary AdCC who underwent surgery and adjuvant radiotherapy. Segmentations were manually performed by two head and neck radiologists. Radiomic features were extracted using the 3D Slicer software. Descriptive statistics was performed. A Survival Random Forest model was employed to select which radiological feature predict RFS. Cox proportional hazards models were constructed using clinical, radiological variables or both. Synthetic data augmentation was applied to address the small sample size and improve model robustness. Models were validated on real data and compared using the C-index and Prediction Error Curves (PEC). Results: Three Cox models were developed: one with clinical features (C-index = 0.67), one with radiomic features (C-index = 0.68), and one combining both (C-index = 0.77). The combined clinical-radiomic model had the highest predictive accuracy and outperformed models based on clinical or radiomic features. The combined model also exhibited the lowest mean Brier score in PEC analysis, indicating better predictive performance. Conclusions: This study demonstrate that a combined radiomic-clinical model can predict RFS in AdCC patients. This model may provide clinicians a valuable tool in patient’s management and may aid in personalized treatment planning.
Downregulated Regucalcin Expression Induces a Cancer-like Phenotype in Non-Neoplastic Prostate Cells and Augments the Aggressiveness of Prostate Cancer Cells: Interplay with the G Protein-Coupled Oestrogen Receptor?
Authors: Fonseca Lara R. S. , Carreira Ricardo J. P. , Feijó Mariana , Cavaco José E.B. , Cardoso Henrique J. , Vaz Cátia V. , Figueira Marília I. , Socorro Sílvia
Published: November 2024

Background/Objectives: Regucalcin (RGN) is a calcium-binding protein and an oestrogen target gene, which has been shown to play essential roles beyond calcium homeostasis. Decreased RGN expression was identified in several cancers, including prostate cancer (PCa). However, it is unknown if the loss of RGN is a cause or a consequence of malignancy. Also, it needs confirmation if RGN oestrogenic regulation occurs through the G-protein-coupled oestrogen receptor (GPER). This study investigates how RGN knockdown affects prostate cell fate and metabolism and highlights the GPER/RGN interplay in PCa. Methods: Bioinformatic analysis assessed the relationship between RGN expression levels and patients’ outcomes. RGN knockdown (siRNA) was performed in non-neoplastic prostate and castration-resistant PCa. Wild-type and RGN knockdown PCa cells were treated with the GPER agonist G1. Viability (MTT), proliferation (Ki-67 immunocytochemistry), apoptosis (caspase-3-like activity) and migration (Transwell assays) were evaluated. Spectrophotometric analysis was used to determine glucose consumption, lactate production and lactate dehydrogenase activity. Lipid content was assessed using the Oil Red assay. Results/conclusions: Bioinformatic analysis showed that the loss of RGN correlates with the development of metastatic PCa and poor survival outcomes. RGN knockdown induced a cancer-like phenotype in PNT1A cells, indicated by increased cell viability and proliferation and reduced apoptosis. In DU145 PCa cells, RGN knockdown augmented migration and enhanced the glycolytic profile, which indicates increased aggressiveness, in line with patients’ data. GPER activation modulated RGN expression in PCa cells and RGN knockdown in DU145 cells influenced GPER actions, which highlighted an interplay between these molecular players with relevance for their potential use as biomarkers or therapeutic targets.
Epichaperome Inhibition by PU-H71-Mediated Targeting of HSP90 Sensitizes Glioblastoma Cells to Alkylator-Induced DNA Damage
Authors: Sharma Pratibha , Xu Jihong , Puduvalli Vinay K.
Published: November 2024

Background: Targeted therapies have been largely ineffective against glioblastoma (GBM) owing to the tumor’s heterogeneity and intrinsic and adaptive treatment resistance. Targeting multiple pro-survival pathways simultaneously may overcome these limitations and yield effective treatments. Heat shock protein 90 (HSP90), an essential component of the epichaperome complex, is critical for the proper folding and activation of several pro-survival oncogenic proteins that drive GBM biology. Methods: Using a panel of biochemical and biological assays, we assessed the expression of HSP90 and its downstream targets and the effects of PU-H71, a highly specific and potent HSP90 inhibitor, on target modulation, downstream biochemical alterations, cell cycle progression, proliferation, migration, and apoptosis in patient-derived glioma stem-like cells (GSCs) with molecular profiles characteristic of GBM, as well as commercial glioma cell lines and normal human astrocytes (NHAs). Results: HSP90 inhibition by PU-H71 in GSCs significantly reduced cell proliferation, colony formation, wound healing, migration, and angiogenesis. In glioma cells, but not NHAs, potent PU-H71-mediated HSP90 inhibition resulted in the downregulation of pro-survival client proteins such as EGFR, MAPK, AKT, and S6. This reduction in pro-survival signals increased glioma cells’ sensitivity to temozolomide, a monofunctional alkylator, and the combination of PU-H71 and temozolomide had greater anticancer efficacy than either agent alone. Conclusions: These results confirm that HSP90 is a strong pro-survival factor in molecularly heterogeneous gliomas and suggest that epichaperome inhibition with HSP90 inhibitors warrants further investigation for the treatment of gliomas.
Neoadjuvant Therapy in Robotic Lung Surgery: Elevating Surgical Complexity Without Compromising Outcomes
Authors: Serratosa Inés , Déniz Carlos , Moreno Camilo , Macia Iván , Rivas Francisco , Muñoz Anna , Paradela Marina , Nadal Ernest , Mosteiro Miguel , Padrones Susana , García Marta , Rodríguez-Martos Tania , Marcè Judith , Ojanguren Amaia
Published: November 2024

Background: Neoadjuvant therapy, particularly the combination of chemotherapy and immunotherapy, has become standard in treating locally advanced non-small cell lung cancer (NSCLC). While this approach improves pathologic responses, its effect on postoperative outcomes following robotic-assisted thoracic surgery (RATS) is not fully characterized. Objective: This study aimed to evaluate the impact of neoadjuvant therapy on postoperative outcomes in patients undergoing RATS for NSCLC, focusing on operative time, conversion rates to open surgery, and postoperative complications. Methods: A retrospective cohort analysis was performed on patients who underwent RATS for NSCLC between February 2019 and August 2024. Propensity score matching was utilized to balance preoperative characteristics between the groups. The primary outcomes compared were operative time, conversion rates to open surgery, and postoperative complications, with statistical significance defined as p < 0.05. Results: A total of 253 patients were included in the analysis, of whom 23 received neoadjuvant therapy (either chemotherapy or chemoimmunotherapy) and 230 did not. The neoadjuvant group had significantly longer operative times (250 min vs. 221 min, p = 0.001) but there were no significant differences in conversion rates to open surgery (8.7% vs. 3.9%, p = 0.5). However, the neoadjuvant group showed a higher incidence of prolonged air leaks (>5 days) (39.13% vs. 35.21%, p < 0.001). Other parameters, such as hospital stay and chest drainage duration, showed no statistically significant differences between the groups (p = 0.860 and p = 0.760, respectively). Conclusions: These findings support the feasibility of robotic-assisted thoracic surgery following neoadjuvant therapy in NSCLC, suggesting that this approach may be safely integrated into clinical practice for selected patients. Further studies are needed to define patient selection criteria and optimize postoperative management, potentially guiding personalized treatment strategies in complex cases.
Flow Cytometry Analyses of Meningioma Immune Cell Composition Using a Short, Optimized Digestion Protocol
Authors: Dao Nyesiga Gillian , Haslund-Vinding Jeppe Lohfert , Budde Josephine , Lange Josefine Føns , Blum Nadja , Dukstaite Kotryna , Ohlsson Lars , Mathiesen Tiit , Woetmann Anders , Vilhardt Frederik
Published: November 2024

Background: Current challenges in meningioma treatment, including post-surgical complications and cognitive impairments, highlight the need for new treatment alternatives. Immunological interventions have shown promise. However, there is a knowledge gap in characterizing infiltrating immune cells in meningioma and their interplay. Further studies on immune cells in single-cell suspensions from digested meningioma tissues could identify targetable mechanisms for non-surgical treatment options with fewer side effects. This study aimed to optimize a protocol for faster digestion of meningioma tissues into viable single-cell suspensions and to identify infiltrating immune cell populations. Methods: We modified a commercial kit intended for whole skin dissociation to digest resected meningioma tissues into viable single-cell suspensions. Tumor-infiltrating immune cell populations were characterized using flow cytometry. Results: Flow cytometry analyses revealed that the digested tissue was composed of viable immune cells, including predominantly CD14+ macrophages and CD3+ T cells, with minor populations of CD56+ NK cells and CD19+ B cells. In both of the two patient samples tested, half of the tumor-associated macrophages were TIM-3+, with a small proportion co-expressing CD83. Women were more likely to have a lower proportion of immune cells, B cells, and NK cells. Female patients with a high proportion of immune cells had a higher proportion of macrophages. Conclusion: We successfully optimized a protocol for generating single-cell suspensions with viable immune cells from meningioma tissues, revealing infiltrating antigen-presenting cells with an immunosuppressive phenotype, and lymphocytes. This short protocol allows advanced analyses of tumor-infiltrating cells using techniques such as single-cell RNA sequencing and flow cytometry, which require live, dissociated cells.
Virtual Reality to Improve the Psychological and Physical Well-Being in Cancer Patients: An Umbrella Review
Authors: Bachelard Lucie , Michel Aude , Blanc Nathalie
Published: November 2024

Background/Objectives: Cancer patients often experience psychological and physical symptoms that can significantly impact their quality of life and treatment outcomes. Virtual reality (VR) has emerged as a promising complementary approach to standard cancer care. Due to the rapidly evolving nature of VR research in oncology, it seems essential to provide an overview of the current state of knowledge in this field. Therefore, this umbrella review aimed to synthesize evidence from all relevant systematic reviews and meta-analyses on VR-based interventions for improving psychological and physical well-being among cancer patients. Methods: A comprehensive search was conducted in four databases (Cochrane Database of Systematic Reviews, Medline, Web of Science, PsycInfo) from inception to August 2023. We included systematic reviews with or without meta-analyses that evaluated the effects of VR-based interventions on any health-related outcomes in cancer patients. The methodological quality of included reviews was assessed using the AMSTAR-2 (A MeaSurement Tool to Assess systematic Reviews) tool. Results: Eighteen individual systematic reviews including ten performed meta-analyses were included, with sample sizes ranging from 225 to 842 participants. VR-based interventions were categorized into three main types: distraction, rehabilitation, and education. The interventions varied significantly in terms of content, equipment, setting, and duration. The most frequent use of VR is one-off exposure in hospital settings to distract patients from anticancer treatment and painful procedures, with natural or game-based content. The mechanism most commonly proposed to explain the effectiveness of VR involves attentional redirection. Conclusions: This umbrella review suggests that VR-based interventions may be effective in improving psychological outcomes in cancer patients, particularly anxiety, pain, and depression. However, high heterogeneity across studies and mixed results for some outcomes indicate a need for further high-quality research. Moreover, a more refined analysis of VR-based interventions is essential to explore the specific mechanisms of action associated with each type. This approach would enable us to establish the optimal characteristics of each intervention and their long-term effects.
Resistance to Tyrosine Kinase Inhibitors in Hepatocellular Carcinoma (HCC): Clinical Implications and Potential Strategies to Overcome the Resistance
Authors: Gawi Ermi Ali , Sarkar Devanand
Published: November 2024

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related deaths worldwide, and the development of effective treatment strategies remains a significant challenge in the management of advanced HCC patients. The emergence of tyrosine kinase inhibitors (TKIs) has been a significant advancement in the treatment of HCC, as these targeted therapies have shown promise in prolonging the survival of patients with advanced disease. Although immunotherapy is currently considered as the first line of treatment for advanced HCC patients, many such patients do not meet the clinical criteria to be eligible for immunotherapy, and in many parts of the world there is still lack of accessibility to immunotherapy. As such, TKIs still serve as the first line of treatment and play a major role in the treatment repertoire for advanced HCC patients. However, the development of resistance to these agents is a major obstacle that must be overcome. In this review, we explore the underlying mechanisms of resistance to TKIs in HCC, the clinical implications of this resistance, and the potential strategies to overcome or prevent the emergence of resistance.
Evaluating the Accuracy and Efficiency of Imaging Modalities in Guiding Ablation for Metastatic Spinal Column Tumors: A Systematic Review
Authors: Aslan Siran , Al-Smadi Mohammad Walid , Al-Khafaji Murtadha Qais , Gati András , Al-Khafaji Mustafa Qais , Viola Réka , Al-Khafaji Yousif Qais , Viola Ákos , Alnofal Thaer , Viola Árpád
Published: November 2024

Background/Objectives: Spinal metastases are a frequent and serious complication in cancer patients, often causing severe pain, instability, and neurological deficits. Thermal ablation techniques such as radiofrequency ablation (RFA), microwave ablation (MWA), and cryoablation (CA) have emerged as minimally invasive treatments. These techniques rely on precise imaging guidance to effectively target lesions while minimizing complications. This systematic review aims to compare the efficacy of different imaging modalities—computed tomography (CT), magnetic resonance imaging (MRI), fluoroscopy, and mixed techniques—in guiding thermal ablation for spinal metastases, focusing on success rates and complications. Methods: A systematic literature search was conducted across PubMed, OVID, Google Scholar, and Web of Science databases, yielding 3733 studies. After screening, 51 studies met the eligibility criteria. Data on success rates, tumor recurrence, complications, and patient outcomes were extracted. Success was defined as no procedure-related mortality, tumor recurrence or expansion, or nerve injury. This systematic review followed PRISMA guidelines and was registered with PROSPERO (ID: CRD42024567174). Results: CT-guided thermal ablation demonstrated high success rates, especially with RFA (75% complete success). Although less frequently employed, MRI guidance showed lower complication rates and improved soft-tissue contrast. Fluoroscopy-guided procedures were effective but had a higher incidence of nerve injury and incomplete tumor control. Mixed imaging techniques, such as CBCT-MRI fusion, showed potential for reducing complications and improving targeting accuracy. Conclusions: CT remains the most reliable imaging modality for guiding thermal ablation in spinal metastases, while MRI provides enhanced safety in complex cases. Fluoroscopy, although effective for real-time guidance, presents limitations in soft-tissue contrast. Mixed imaging techniques like CBCT-MRI fusion offer promising solutions by combining the advantages of both CT and MRI, warranting further exploration in future studies.
Potential Use of Exosomal Non-Coding MicroRNAs in Leukemia Therapy: A Systematic Review
Authors: Gil-Kulik Paulina , Kluz Natalia , Przywara Dominika , Petniak Alicja , Wasilewska Małgorzata , Frączek-Chudzik Natalia , Cieśla Marek
Published: November 2024

Leukemia is a heterogeneous group of hematological malignancies. Despite the enormous progress that has been made in the field of hemato-oncology in recent years, there are still many problems related to, among others, disease recurrence and drug resistance, which is why the search for ideal biomarkers with high clinical utility continues. Research shows that exosomes play a critical role in the biology of leukemia and are associated with the drug resistance, metastasis, and immune status of leukemias. Exosomes with their cargo of non-coding RNAs act as a kind of intermediary in intercellular communication and, at the same time, have the ability to manipulate the cell microenvironment and influence the reaction, proliferative, angiogenic, and migratory properties of cells. Exosomal ncRNAs (in particular, circRNAs and microRNAs) appear to be promising cell-free biomarkers for diagnostic, prognostic, and treatment monitoring of leukemias. This review examines the expression of exosomal ncRNAs in leukemias and their potential regulatory role in leukemia therapy but also in conditions such as disease relapse, drug resistance, metastasis, and immune status. Given the key role of ncRNAs in regulating gene networks and intracellular pathways through their ability to interact with DNA, transcripts, and proteins and identifying their specific target genes, defining potential functions and therapeutic strategies will provide valuable information.
Technological Resources for Physical Rehabilitation in Cancer Patients Undergoing Chemotherapy: A Scoping Review
Authors: Amarelo Anabela , Mota Marisa , Amarelo Bruno , Ferreira Marta Campos , Fernandes Carla Sílvia
Published: November 2024

Background/Objectives: Cancer patients undergoing chemotherapy often face challenges that reduce their physical function and quality of life. Technological resources offer innovative solutions for physical rehabilitation, but the extent of their application in this context remains unclear. This scoping review aims to explore and map the various technological tools used to support physical rehabilitation in cancer patients during chemotherapy, focusing on their potential to improve outcomes and enhance patient care. Methods: A scoping review was conducted following the Joanna Briggs Institute (JBI) guidelines and the PRISMA-ScR framework. Comprehensive searches were performed in the MEDLINE, CINAHL, Scopus, SPORTDiscus, and COCHRANE databases. The included studies focused on the technological resources used in physical rehabilitation for cancer patients undergoing chemotherapy. Data extraction followed the World Health Organization’s “Classification of Digital Health Interventions v1.0” to categorize the technologies. Results: A total of 32 studies met the inclusion criteria. The most commonly used technologies included wearable devices (16 studies), web-based platforms and telerehabilitation systems (7 studies), mHealth applications (6 studies), virtual reality (2 studies), and exergaming (3 studies). These tools were designed to enhance physical function, manage treatment-related symptoms, and improve overall quality of life. Wearable devices were particularly effective for monitoring physical activity, while web-based platforms and mHealth applications supported remote rehabilitation and patient engagement. Conclusions: Technological resources offer significant opportunities for personalized rehabilitation interventions in cancer patients undergoing chemotherapy. However, further research is needed to evaluate the long-term effectiveness, cost-efficiency, and clinical integration of these tools to ensure broader accessibility and sustainable impact.
OVsignGenes: A Gene Expression-Based Neural Network Model Estimated Molecular Subtype of High-Grade Serous Ovarian Carcinoma
Authors: Kobelyatskaya Anastasiya , Tregubova Anna , Palicelli Andrea , Badlaeva Alina , Asaturova Aleksandra
Published: November 2024

Background/Objectives: High-grade serous carcinomas (HGSCs) are highly heterogeneous tumors, both among patients and within a single tumor. Differences in molecular mechanisms significantly describe this heterogeneity. Four molecular subtypes have been previously described by the Cancer Genome Atlas Consortium: differentiated, immunoreactive, mesenchymal, and proliferative. These subtypes may have varying degrees of progression, relapse-free survival, and overall survival, as well as response to therapy. The precise determination of these subtypes is certainly necessary both for diagnosis and future development of targeted therapies within personalized medicine. Methods: In this study, we analyzed gene expression data based on bulk RNA-seq, scRNA-seq, and spatial transcriptomic data from six cohorts (totaling 535 samples, including 60 single-cell samples). Differential expression analysis was performed using the edgeR package. The KEGG database and GSVA package were used for pathways enrichment analysis. As a predictive model, a deep neural network was created using the keras and tensorflow libraries. Results: We identified 357 differentially expressed genes among the four subtypes: 96 differentiated, 33 immunoreactive, 91 mesenchymal, and 137 proliferative. Based on these, we created OVsignGenes, a neural network model resistant to the effects of platform (test dataset AUC = 0.969). We then ran data from five more cohorts through our model, including scRNA-seq and spatial transcriptomics. Conclusions: Because the differentiated subtype is located at the intersection of the other three subtypes based on PCA and does not have a unique profile of differentially expressed genes or enriched pathways, it can be considered an initiating subtype of tumor that will develop into one of the three other subtypes.