bluuebunny/crossref_metadata_2025 huggingface dataset:
Intelligent Evaluation and Dynamic Prediction of Oysters Freshness with Electronic Nose Non-Destructive Monitoring and Machine Learning
Authors: Wang Baichuan , Li Yueyue , Liu Kang , Wei Guangfen , He Aixiang , Kong Weifu , Zhang Xiaoshuan
Published: October 2024

Physiological and environmental fluctuations in the oyster cold chain can lead to quality deterioration, highlighting the importance of monitoring and evaluating oyster freshness. In this study, an electronic nose was developed using ten partially selective metal oxide-based gas sensors for rapid freshness assessment. Simultaneous analyses, including GC-MS, TVBN, microorganism, texture, and sensory evaluations, were conducted to assess the quality status of oysters. Real-time electronic nose measurements were taken at various storage temperatures (4 °C, 12 °C, 20 °C, 28 °C) to thoroughly investigate quality changes under different storage conditions. Principal component analysis was utilized to reduce the 10-dimensional vectors to 3-dimensional vectors, enabling the clustering of samples into fresh, sub-fresh, and decayed categories. A GA-BP neural network model based on these three classes achieved a test data accuracy rate exceeding 93%. Expert input was solicited for performance analysis and optimization suggestions enhanced the efficiency and applicability of the established prediction system. The results demonstrate that combining an electronic nose with quality indices is an effective approach for diagnosing oyster spoilage and mitigating quality and safety risks in the oyster industry.
In the Arms of Morpheus: Recent Advances in Dreaming and in Other Sleep-Related Metacognitions
Authors: Mota-Rolim Sérgio , Holzinger Brigitte , Nadorff Michael R. , De Gennaro Luigi
Published: October 2024

Dreams have always fascinated humans [...]
Correction: Sonkaya et al. Using Objective Speech Analysis Techniques for the Clinical Diagnosis and Assessment of Speech Disorders in Patients with Multiple Sclerosis. Brain Sci. 2024, 14, 384
Authors: Sonkaya Zeynep Z. , Özturk Bilgin , Sonkaya Rıza , Taskiran Esra , Karadas Ömer
Published: October 2024

In the original publication [...]
Sleep Matters in Chronotype and Mental Health Association: Evidence from the UK and Germany
Authors: Chauhan Satyam , Faßbender Kaja , Pandey Rakesh , Norbury Ray , Ettinger Ulrich , Kumari Veena
Published: October 2024

Background: There is considerable evidence supporting the elevated risk of mental health problems in individuals with evening chronotype relative to those with morning or intermediate chronotypes. Recent data, however, suggest that this risk may be explained, at least partially, by poor sleep quality. Methods: This study aimed to further clarify the roles of chronotype and sleep quality in mental health outcomes (depression, anxiety, stress) in young individuals (18–40 years) living in the UK (n = 185) or Germany (n = 209). Results: Consistent with our recent observations in a comparable North Indian sample, we found that poor quality of sleep had significantly positive associations with adverse mental health outcomes both in the UK and Germany-based samples. Significant associations between evening chronotype and poor mental health were also evident, but these associations were fully mediated by poor quality of sleep in both samples. Conclusions: These observations suggest that efforts to identify sleep disruption in a timely manner and promotion of good sleep may prevent mental health problems, especially in individuals with evening chronotype and other known risks for mental disorders.
A Novel YOLOv10-DECA Model for Real-Time Detection of Concrete Cracks
Authors: Zhang Chaokai , Peng Ningbo , Yan Jiaheng , Wang Lixu , Chen Yinjia , Zhou Zhancheng , Zhu Ye
Published: October 2024

The You Only Look Once (YOLO) series algorithms have been widely adopted in concrete crack detection, with attention mechanisms frequently being incorporated to enhance recognition accuracy and efficiency. However, existing research is confronted by two primary challenges: the suboptimal performance of attention mechanism modules and the lack of explanation regarding how these mechanisms influence the model’s decision-making process to improve accuracy. To address these issues, a novel Dynamic Efficient Channel Attention (DECA) module is proposed in this study, which is designed to enhance the performance of the YOLOv10 model in concrete crack detection, and the effectiveness of this module is visually demonstrated through the application of interpretable analysis algorithms. In this paper, a concrete dataset with a complex background is used. Experimental results indicate that the DECA module significantly improves the model’s accuracy in crack localization and the detection of discontinuous cracks, outperforming the existing Efficient Channel Attention (ECA). When compared to the similarly sized YOLOv10n model, the proposed YOLOv10-DECA model demonstrates improvements of 4.40%, 3.06%, 4.48%, and 5.56% in precision, recall, mAP50, and mAP50-95 metrics, respectively. Moreover, even when compared with the larger YOLOv10s model, these performance indicators are increased by 2.00%, 0.04%, 2.27%, and 1.12%, respectively. In terms of speed evaluation, owing to the lightweight design of the DECA module, the YOLOv10-DECA model achieves an inference speed of 78 frames per second, which is 2.5 times faster than YOLOv10s, thereby fully meeting the requirements for real-time detection. These results demonstrate that an optimized balance between accuracy and speed in concrete crack detection tasks has been achieved by the YOLOv10-DECA model. Consequently, this study provides valuable insights for future research and applications in this field.
Digital Technologies for Promoting Construction and Demolition Waste Management: A Systematic Review
Authors: Iyiola Comfort Olubukola , Shakantu Winston , Daniel Emmanuel Itodo
Published: October 2024

The increasing concern about the environment has led to the necessity of ensuring efficient Construction and Demolition Waste Management (C&DWM) in the built environment. Despite the extensive research on C&DWM, the industry still faces significant challenges, including inefficiencies, high costs, and environmental impacts. Meanwhile, incorporating digital technologies (DTs) has emerged as a way to eradicate the challenges of C&DW. In response to the knowledge gap, in this research, we conducted a systematic literature review (SLR), incorporating bibliometric, text-mining, and content analysis to meet the research objectives. In total, 126 papers were retrieved from the Scopus database and transferred into VOSviewer to conduct the bibliometric analysis. The findings identified seven specific DTs, namely, blockchain, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Robotics, Computer Vision (CV), and Building Information modeling (BIM). This study demonstrates that these technologies play a significant role in promoting efficient C&DWM in the construction industry. The study’s implication lies in its potential to guide industry stakeholders and policymakers in promoting the use of DTs and overcoming the barriers to their adoption, thereby facilitating more efficient and sustainable C&DWM practices. Finally, the findings of our research indicate possible future research directions for promoting DTs for C&DWM and eradicating the barriers to efficient implementation.
Research on Modular Space Design of Emergency Hospitals Based on BIM Technology Innovation
Authors: Zhang Guangping , Sun Jialei
Published: October 2024

In recent years, due to the COVID-19 pandemic and the impact of various natural disasters worldwide, the construction of emergency buildings, particularly emergency hospitals, has gained critical importance. This study explores methods for expediting the construction of emergency hospitals by applying the forward design theory of Building Information Modeling (BIM) and the fundamental principles of modular design. Additionally, the spatial distribution of five emergency hospitals in Changchun City is analyzed, and an environmental simulation of the Convention Center emergency hospital is conducted using BIM technology and environmental analysis tools such as Honeybee in Rhino software. The collected data and experimental results are then examined to evaluate the thermal comfort of emergency buildings in cold climates.
Simultaneous Energy Optimization of Heating Systems by Multi-Zone Predictive Control—Application to a Residential Building
Authors: Bitar Rina , Youssef Nicolas , Chamoin Julien , Hage Chehade Fadi , Defer Didier
Published: October 2024

Climate change has made energy management a global priority. In France, the Grenelle Environment has set very ambitious progress targets for positive-energy buildings, particularly in terms of reducing and managing energy consumption. However, effective energy management in multi-zone buildings presents significant challenges, particularly when considering the inter-zone dynamics and heat transfer. This study examines multi-zone heating control, using a data-driven model for predictive indoor temperature modeling in intelligent buildings taking into account the influence of interconnected adjacent zones. The research methodology uses dynamic thermal simulation, parallel predictive models based on multiple linear regressions, and a multi-objective non-dominated sorting genetic algorithm II (NSGA-II) for the optimization process, which evaluates various generated heating strategies. This research introduces an approach to improve building energy efficiency by considering inter-zone dynamics and reducing heating-related energy consumption compared to a conventional heating strategy. By applying this model predictive control on a simulated case, a reduction in energy consumption due to heating is observed while respecting thermal comfort. This work contributes by implementing a method that independently controls temperatures in different building zones simultaneously while applying distinct constraints to each zone. This approach empowers occupants to manage heating consumption based on their preferences, ensuring personalized comfort. In addition, a comparison was made using a model that did not account for inter-zone interactions. This comparison demonstrates that incorporating these interactions into the predictive model enhances the effectiveness of the model predictive control approach. The multi-zone approach was also validated experimentally by using real experimental data, demonstrating significant reductions in energy consumption.
Cloud Model-Based Intelligent Construction Management Level Assessment of Prefabricated Building Projects
Authors: An Hongda , Jiang Lei , Chen Xingwen , Gao Yunli , Wang Qingchun
Published: October 2024

Intelligent construction is vital for achieving new building industrialization by enhancing prefabricated buildings through integrated, digital, and intelligent management across production and construction processes. Despite its significance, detailed research on evaluating the intelligent construction management (ICM) level of prefabricated projects remains limited. This study aims to develop a comprehensive, multi-level, multi-dimensional ICM assessment system. By reviewing the literature, engaging in expert discussions, and conducting case studies—specifically using a project in Guangzhou as an example—this study employs the Analytic Hierarchy Process (AHP) and entropy weight methods to assign indicator weights. Utilizing cloud model theory, it establishes evaluation standards for intelligent construction management. This model identifies the project’s ICM level, suggests practical improvement methods, and validates its applicability. This work not only advances theoretical understanding but also provides a practical framework for assessing ICM levels in prefabricated projects, thus contributing significantly to the field by offering new research perspectives and empirical evidence.
Numerical Study on Seismic Performance of a New Prefabricated Reinforced Concrete Structural System Integrated with Recoverable Energy-Dissipating RC Walls
Authors: Zheng Qi , Chen Shanghong , Lin Wei
Published: October 2024

To enhance the performance of infill walls and reduce seismic damage, this paper proposes a novel prefabricated reinforced concrete (PRC) energy-dissipating wall, forming a new recoverable energy-dissipating PRC (ED-PRC) structural system. The system features pre-set gaps on both sides and the top of the PRC wall, with flexible materials filling the gaps on the sides. The top of the PRC wall is connected to the beam through several double-conical mild steel dampers to ensure the efficient transfer of horizontal shear forces between the main frame and the PRC wall. A numerical study was employed to investigate the seismic performance and the staged yield capacity. The results show that this design achieves a yielding sequence of dampers → wall → main frame. Furthermore, during the early to mid-phases of the cyclic loading simulations, the double-conical mild steel dampers with the low yield point utilized in the ED-PRC structural system exhibited exceptional energy dissipation capabilities. Notably, the LY100 dampers accounted for up to 61.84% of the total energy dissipation, with the LY160 and LY225 dampers contributing 55.35% and 50.25%, respectively. It indicates that the proposed ED-PRC structural system significantly enhances the ductility and the energy dissipation capacity under seismic loading while substantially reducing damage to the primary structure. The use of prefabricated components facilitates modular construction, allowing for quick dismantling and replacement after an earthquake, thereby rapidly restoring the structural seismic resilience.
Machine Learning-Based Strength Prediction of Round-Ended Concrete-Filled Steel Tube
Authors: Chen Dejing , Fan Youhua , Zha Xiaoxiong
Published: October 2024

Round-ended concrete-filled steel tubes (RECFSTs) present very different performances between the primary and secondary axes, which renders them particularly suitable for use as bridge piers and arches. In recent years, research into RECFST heavily relies on experimental procedures restricting the parameter range under consideration, which narrows the far-reaching applicability of RECFST. This study employs advanced machine learning methods to predict the axial load-bearing capacity of RECFST with a wide parameter range. Firstly, a machine learning database comprising 2400 RECFSTs is established, which covers a wider range of commonly used material strengths and cross-sectional dimensions. Three machine learning prediction models of this database are then developed, respectively, using different algorithms. The robustness of the machine learning models is evaluated by predicting the axial load-bearing capacity of 60 RECFST specimens from existing references. The results demonstrated that the machine learning models provided superior predictive accuracy compared to theoretical or code-based formulas. A graphical user interface (GUI) is ultimately developed based on the machine learning prediction models to predict the axial load-bearing capacity of RECFST. This tool facilitates rapid and accurate RECFST design.
Numerical Modeling of Distributed Macro-Synthetic Fiber and Deformed Bar Reinforcement to Resist Shear
Authors: Farag Benedikt Fadel , Thonstad Travis , Calvi Paolo Martino
Published: October 2024

Macro-synthetic fibers are increasingly used in concrete as secondary reinforcement to control temperature and shrinkage cracks, improving durability by limiting crack widths. However, their impact on the shear strength of structural elements remains underexplored, particularly when used in combination with traditional steel reinforcement. To address this knowledge gap, this study developed and calibrated a non-linear numerical model to simulate the shear response of macro-synthetic fiber-reinforced concrete (PFRC) elements, using finite element software VecTor2. The model was calibrated with experimental data from PFRC panels subjected to pure shear loading, incorporating a custom concrete tension-softening model to capture the contribution of fibers. Validation against a broad range of PFRC beam experiments from the literature demonstrated the model’s accuracy, achieving an average predicted-to-experimental shear strength ratio of 0.99 (COV = 5.5%). Additionally, the model successfully replicated key response characteristics such as deformation patterns, crack propagation, and residual strength. The proposed modeling approach provides valuable insights into the interaction between fiber volume and transverse reinforcement. It also serves as a powerful tool for future numerical studies, addressing the existing data gap on PFRC behavior and exploring the synergistic effects of macro-synthetic fibers and steel reinforcement on shear strength.
The Mechanism of Street Spatial Form on Thermal Comfort from Urban Morphology and Human-Centered Perspectives: A Study Based on Multi-Source Data
Authors: Guo Fei , Luo Mingxuan , Zhang Chenxi , Cai Jun , Zhang Xiang , Zhang Hongchi , Dong Jing
Published: October 2024

The influence of street spatial form on thermal comfort from urban morphology and human-centered perspectives has been underexplored. This study, utilizing multi-source data and focusing on urban central districts, establishes a refined index system for street spatial form and a thermal comfort prediction model based on extreme gradient boosting (XGBoost) and Shapley additive explanations (SHAP). The results reveal the following: (1) Thermal comfort levels display spatial heterogeneity, with areas of thermal discomfort concentrated in commercial zones and plaza spaces. (2) Compared to the human-centered perspective, urban morphology indicators correlate strongly with thermal comfort. (3) The key factors influencing thermal comfort, in descending order of importance, are distance from green and blue infrastructure (GBI), tree visibility factor (TVF), street aspect ratio (H/W), orientation, functional diversity indices, and sky view factor. All but the TVF negatively correlates with thermal comfort. (4) In local analyses, the primary factors affecting thermal comfort vary across streets with different heat-risk levels. In high heat-risk streets, thermal comfort is mainly influenced by distance from GBI, H/W, and orientation, whereas in low heat-risk streets, vegetation-related factors dominate. These findings provide a new methodological approach for optimizing urban thermal environments from both urban and human perspectives, offering theoretical insights for creating more comfortable cities.
Development of a Building Evaluation Framework for Biophilic Design in Architecture
Authors: Tabassum Rafa Ramisha , Park Jihyun
Published: October 2024

Biophilic design has gained prominence in architecture as a strategy to integrate natural elements into built environments, aiming to improve human comfort, well-being, and environmental sustainability. This paper critically reviews existing biophilic design frameworks, identifying gaps in their integration of health outcomes and the relationship between indoor and outdoor environments, with a primary focus on indoor environmental quality (IEQ) factors such as air quality, natural light, thermal comfort, and acoustics. The review was conducted systematically, comparing frameworks using criteria such as health benefits, human–nature connections, and user satisfaction. Key findings highlight a lack of comprehensive frameworks that explicitly link biophilic design to measurable improvements in human health, comfort, and satisfaction. To address this gap, the study proposes an enhanced biophilic design framework that bridges IEQ-focused indoor environments with urban outdoor elements, prioritizing human comfort alongside environmental sustainability. The framework also emphasizes the role of post-occupancy evaluation (POE) in assessing the real-world performance of biophilic interventions, particularly in achieving user satisfaction and ensuring long-term effectiveness. This research contributes to the advancement of biophilic design by offering actionable strategies for architects, urban planners, and policymakers to adopt biophilic principles that create resilient, healthy, and sustainable spaces. Additionally, the study emphasizes the need for empirical testing and validation of the proposed framework, including POE and user surveys, to assess its real-world impact on human well-being and satisfaction, thus setting the stage for future research.
What Is the Prognostic Value of the Pathologic Response after Neoadjuvant Radiotherapy in Soft Tissue Sarcoma? An Institutional Study Using the EORTC–STBSG Response Score
Authors: Stergioula Anastasia , Kormas Theodoros , Kokkali Stefania , Memos Nikolaos , Pantelis Evaggelos , Pouloudi Despina , Agrogiannis Georgios
Published: October 2024

Background/Objectives: The relationship between pathologic findings in soft tissue sarcoma (STS) after neoadjuvant treatment and oncological outcomes remains uncertain due to varying evaluation methods and cut-off values. This study aims to assess pathologic findings after neoadjuvant radiotherapy in STS using the EORTC-STBSG response score and evaluate its prognostic value. Methods: Clinical and outcome data from 44 patients were reviewed. Resected specimens were re-evaluated to measure viable cells, necrosis, fibrosis, and hyalinization. Local recurrence-free survival (LRFS), distant metastasis-free survival (DMFS), and overall survival (OS) were analyzed using Kaplan–Meier survival analysis. Cox proportional hazards regression was used for univariate and multivariate analyses to correlate outcomes with pathologic response. Results: The median percentages of viable cells, necrosis, and fibrosis/hyalinization were 20%, 11%, and 40%, respectively. A pathologic complete response (pCR), defined as ≤5% viable cells, was achieved in 25% of cases. Local recurrence occurred in 33% of cases, with a significantly higher rate of 64% after R1 resection compared to 22% after R0 resection. Distant metastases were observed in 42% of patients, primarily in the lungs. The 3-year rates for LRFS, DMFS, and OS were 65%, 54%, and 67%, respectively. A correlation between outcomes and tumor size, grade and histological subtype was observed. Classifying pathologic response by the EORTC-STBSG score failed to show an association with outcomes. Patients achieving pCR showed lower risk of LR and improved OS. Conclusions: While the EORTC-STBSG score did not show a prognostic value, resection specimens with ≤5% viable cells were linked to improved LRFS and OS.
Unraveling the Heterogeneity of Deficiency of Mismatch Repair Proteins in Endometrial Cancer: Predictive Biomarkers and Assessment Challenges
Authors: Carvalho Filomena M. , Carvalho Jesus P.
Published: October 2024

Endometrial cancer (EC) poses a significant global health challenge, with increasing prevalence in 26 of 43 countries and over 13,000 deaths projected in the United States by 2024. This rise correlates with aging populations, the obesity epidemic, and changing reproductive patterns, including delayed childbearing. Despite the early diagnosis in 67% of cases, approximately 30% of cases present with regional or distant spread, leading to nearly 20% mortality rates. Unlike many cancers, EC mortality rates are escalating, outpacing therapeutic advancements until recently. One of the reasons for this was the lack of effective therapeutic options for advanced disease until recently. The introduction of immunotherapy has marked a turning point in EC treatment, particularly benefiting patients with defects in mismatch repair proteins (dMMRs). However, dMMR status alone does not ensure a favorable response, underscoring the need for precise patient selection. This review explores the pivotal role of mismatch repair proteins in EC, emphasizing their heterogeneity, the challenges in their assessment, and their potential as predictive biomarkers.
From Deworming to Cancer Therapy: Benzimidazoles in Hematological Malignancies
Authors: Golla Upendarrao , Patel Satyam , Shah Nyah , Talamo Stella , Bhalodia Riya , Claxton David , Dovat Sinisa , Sharma Arati
Published: October 2024

Drug repurposing is a strategy to discover new therapeutic uses for existing drugs, which have well-established toxicity profiles and are often more affordable. This approach has gained significant attention in recent years due to the high costs and low success rates associated with traditional drug development. Drug repositioning offers a more time- and cost-effective path for identifying new treatments. Several FDA-approved non-chemotherapy drugs have been investigated for their anticancer potential. Among these, anthelmintic benzimidazoles (such as albendazole, mebendazole, and flubendazole) have garnered interest due to their effects on microtubules and oncogenic signaling pathways. Blood cancers, which frequently develop resistance and have high mortality rates, present a critical need for effective therapies. This review highlights the recent advances in repurposing benzimidazoles for blood malignancies. These compounds induce cell cycle arrest, differentiation, tubulin depolymerization, loss of heterozygosity, proteasomal degradation, and inhibit oncogenic signaling to exert their anticancer effects. We also discuss current limitations and strategies to overcome them, emphasizing the potential of combining benzimidazoles with standard therapies for improved treatment of hematological cancers.
KRAS, a New Target for Precision Medicine in Colorectal Cancer?
Authors: Boilève Alice , Smolenschi Cristina , Lambert Aurélien , Boige Valérie , Delaye Matthieu , Camilleri Géraldine M. , Tarabay Anthony , Valéry Marine , Fuerea Alina , Pudlarz Thomas , Mathieu Jacques R. R. , Jaulin Fanny , Hollebecque Antoine , Ducreux Michel
Published: October 2024

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality globally, with significant public health concerns. This review examines the landscape of KRAS inhibition in colorectal cancer (CRC), focusing on recent advances in therapeutic strategies targeting this oncogene. Historically deemed undruggable due to its complex structure and essential role in tumorigenesis, KRAS mutations are prevalent in CRC and are associated with poor prognosis. However, breakthroughs in drug development have led to the emergence of KRAS inhibitors as promising treatment options. This review discusses various classes of KRAS inhibitors, including covalent and non-covalent inhibitors, as well as combination therapies aimed at enhancing efficacy and overcoming resistance mechanisms. It highlights recent clinical trials evaluating the efficacy of KRAS inhibitors either as monotherapy or in combination with other agents, such as anti-EGFR antibodies. Despite challenges such as resistance mechanisms and tumor heterogeneity, the development of KRAS inhibitors represents a significant advance in CRC treatment and holds promise for improving patient outcomes in the future.
Quality of Life and Psychological Distress Related to Fertility and Pregnancy in AYAs Treated for Gynecological Cancer: A Systematic Review
Authors: Stroeken Yaël , Hendriks Florine , Beltman Jogchum , ter Kuile Moniek
Published: October 2024

Background/Objectives: With growing survival rates for Adolescent and Young Adults (AYAs) diagnosed with gynecological cancer, the focus shifted to Quality of Life (QoL). Fertility-sparing surgery offers a viable alternative to standard, usually fertility-impairing treatments. Treatment choice remains difficult and renders perspectives of AYAs on decision-making and psychological outcomes afterwards. This review examines the impact of (in)fertility on psychological well-being both during cancer treatment, and in the long term. Methods: A systematic review of the peer-reviewed literature was conducted by searching Pubmed, Web of Science, Cochrane Trial database and PsycINFO on 30 November 2023. The review included studies with a focus on gynecological cancer, fertility and pregnancy related psychological outcomes, QoL, and psychosocial factors influencing decision-making. Case reports and reviews were excluded. Quality was assessed with the Mixed Methods Appraisal Tool (MMAT). Results: 15 studies, published between 2005 and 2023, involving 1328 participants, were included. Key findings highlight the significance of informing all AYAs about cancer treatment effects on fertility and discussing fertility preservation options. Feeling time-pressured and conflicted between choosing the best oncological outcomes and preserving fertility were common. Factors such as younger age at diagnosis, time pressure, and inadequate counseling by healthcare workers increased reproductive concerns which contributed to long term psychological distress. Research on AYAs with gynecological cancer without fertility preservation possibilities is limited and should be prioritized. Conclusions: This review shows that both Shared Decision-Making (SDM) and follow-up processes can be improved by addressing fertility-related questions and concerns, therefore increasing long-term QoL. This review is registered in PROSPERO (ID 448119).
Comparing Lenvatinib/Pembrolizumab with Atezolizumab/Bevacizumab in Unresectable Hepatocellular Carcinoma: A Real-World Experience with Propensity Score Matching Analysis
Authors: Hsu Yu-Chun , Lin Po-Ting , Teng Wei , Hsieh Yi-Chung , Chen Wei-Ting , Su Chung-Wei , Wang Ching-Ting , Chai Pei-Mei , Lin Chen-Chun , Lin Chun-Yen , Lin Shi-Ming
Published: October 2024

Background: The combination of anti-angiogenic therapy and immune checkpoint inhibitors has revolutionized the management of unresectable hepatocellular carcinoma (uHCC). While an early-phase study demonstrated promising outcomes for lenvatinib plus pembrolizumab (L+P) in treating uHCC, the LEAP-002 trial did not meet its primary endpoint. However, the comparative efficacy between L+P and atezolizumab plus bevacizumab (A+B) as first-line treatment remains a topic of uncertainty. This study aimed to assess the effectiveness and safety of L+P in contrast to A+B among patients diagnosed with uHCC. Methods: We conducted a retrospective analysis of enrolled patients with uHCC who received L+P or A+B as initial systemic treatment at Chang Gung Memorial Hospital from June 2019 to December 2022. The overall survival (OS), progression-free survival (PFS), objective response rate (ORR), and disease control rate (DCR) by modified RECIST were compared. Results: 121 patients were recruited, with 37 receiving L+P and 84 receiving A+B. Among them, 95 (78.5%) patients were BCLC stage C, and 99 (81.8%) patients had viral etiology for HCC, predominantly chronic HBV (68.6%). Both the L+P and the A+B groups demonstrated comparable OS (18.2 months versus 14.6 months, p = 0.35) and PFS (7.3 months versus 8.9 months, p = 0.75). The ORR and DCR were similar. After propensity score matching, the results remained consistent between the matched patients. Treatment-related adverse events of any grade occurred in 30 (81.1%) in the L+P group and 62 (73.8%) in the A+B group. Conclusions: Our findings suggest that L+P and A+B exhibit comparable efficacy and safety profiles in real-world settings.
Head and Neck Cancer and Sarcopenia: An Integrative Clinical and Functional Review
Authors: Endo Kazuhira , Ichinose Mariko , Kobayashi Eiji , Ueno Takayoshi , Hirai Nobuyuki , Nakanishi Yosuke , Kondo Satoru , Yoshizaki Tomokazu
Published: October 2024

Sarcopenia is recognized as a crucial factor impacting the prognosis, treatment responses, and quality of life of HNC patients. This review discusses various mechanisms, including common etiological factors, such as aging, chronic inflammation, and metabolic dysregulation. Cancer-related factors, including tumor locations and treatment modalities, contribute to the development of sarcopenia. The clinical implications of sarcopenia in HNC patients extend beyond reduced muscle strength; it affects overall mobility, reduces quality of life, and increases the risk of falls and fractures. Sarcopenia serves as an independent predictor of postoperative complications, chemotherapy dose-limiting toxicity, and treatment outcomes, which affect therapy planning and perioperative management decisions. Methods to assess sarcopenia in HNC patients encompass various techniques. A sarcopenia assessment offers a potentially efficient and readily available tool for clinical practice. Interventions and management strategies for sarcopenia involve exercise interventions as a cornerstone; however, challenges arise due to patient-specific limitations during cancer treatment. A routine body composition analysis is proposed as a valuable addition to HNC patient management, with ongoing research required to refine preoperative exercise and nutrition programs for improved treatment outcomes and survival.
Differences in Breast Cancer Subtypes among Racial/Ethnic Groups
Authors: Sasaki Tamlyn , Liyanage Akash , Bansil Surbhi , Silva Anthony , Pagano Ian , Hidalgo Elena Y. , Jones Corinne , Ueno Naoto T. , Takahashi Yoko , Fukui Jami
Published: October 2024

Background: Differences in the incidence of breast cancer subtypes among racial/ethnic groups have been evaluated as a contributing factor in disparities seen in breast cancer prognosis. We evaluated new breast cancer cases in Hawai’i to determine if there were subtype differences according to race/ethnicity that may contribute to known disparities. Methods: We reviewed 4591 cases of women diagnosed with breast cancer from two large tumor registries between 2015 and 2022. We evaluated breast cancer cases according to age at diagnosis, self-reported race, breast cancer subtype (ER, PR, and HER2 receptor status), histology, county, and year. Results: We found both premenopausal and postmenopausal Native Hawaiian women were less likely to be diagnosed with triple-negative breast cancer (OR = 0.26, 95% CI 0.12–0.58 p = 0.001; OR = 0.54, 95% CI 0.36, 0.80 p = 0.002, respectively). Conclusions: The results of our study support that there are racial/ethnic differences in breast cancer subtypes among our population, which may contribute to differences in outcomes. Further evaluation of clinical and pathological features in each breast cancer subtype may help improve the understanding of outcome disparities seen among different racial/ethnic groups.
Distal Pancreatectomy with and without Celiac Axis Resection for Adenocarcinoma: A Comparison in the Era of Neoadjuvant Therapy
Authors: Daniel Sara K. , Hironaka Camille E. , Ahmad M. Usman , Delitto Daniel , Dua Monica M. , Lee Byrne , Norton Jeffrey A. , Visser Brendan C. , Poultsides George A.
Published: October 2024

Background: Distal pancreatectomy with celiac axis resection (DP-CAR) has been used for selected patients with pancreatic cancer infiltrating the celiac axis. We compared the short- and long-term outcomes between DP-CAR and distal pancreatectomy alone (DP) in patients receiving neoadjuvant therapy. Methods: Patients undergoing DP-CAR from 2013 to 2022 were retrospectively reviewed. Clinicopathologic features, post-operative morbidity, and survival outcomes were compared with patients undergoing DP after neoadjuvant chemotherapy. Results: Twenty-two DP-CAR and thirty-four DP patients who underwent neoadjuvant chemotherapy were identified. There were no differences in comorbidities or CA19-9 levels. OR time was longer for DP-CAR (304 vs. 240 min, p = 0.007), but there was no difference in the transfusion rate (22.7% vs. 14.7%). Vascular reconstruction was more common in DP-CAR (18.2% vs. 0% arterial, p = 0.05; 40.9% vs. 12.5% venous, p = 0.04). There was no difference in morbidity or mortality between the two groups. Although there was a trend towards larger tumors in DP-CAR (5.1 cm vs. 3.8 cm, p = 0.057), the overall survival from the initiation of treatment (32 vs. 28 months, p = 0.43) and surgery (30 vs. 24 months, p = 0.43) were similar. Discussion: DP-CAR is associated with similar survival and morbidity compared to DP patients requiring neoadjuvant chemotherapy and should be pursued in appropriately selected patients.
The Influence of Microbiota on Breast Cancer: A Review
Authors: Neagoe Cara-Xenia-Rafaela , Ionică Mihaela , Neagoe Octavian Constantin , Trifa Adrian Pavel
Published: October 2024

Breast cancer remains one of the leading causes of death among women worldwide, and recent research highlights its growing connection to alterations in the microbiota. This review delves into the intricate relationship between microbiotas and breast cancer, exploring its presence in healthy breast tissue, its changes during cancer progression, and its considerable impact on both the tumor microenvironment (TME) and the tumor immune microenvironment (TIME). We extensively analyze how the microbiota influences cancer growth, invasion, metastasis, resistance to drugs, and the evasion of the immune system, with a special focus on its effects on the TIME. Furthermore, we investigate distinct microbial profiles associated with the four primary molecular subtypes of breast cancer, examining how the microbiota in tumor tissues compares with that in adjacent normal tissues. Emerging studies suggest that microbiotas could serve as valuable diagnostic and prognostic biomarkers, as well as targets for therapy. This review emphasizes the urgent need for further research to improve strategies for breast cancer prevention, diagnosis, and treatment. By offering a detailed examination of the microbiota’s critical role in breast cancer, this review aims to foster the development of novel microbiota-based approaches for managing the disease.
Update on Neoadjuvant and Adjuvant BRAF Inhibitors in Papillary Craniopharyngioma: A Systematic Review
Authors: Cossu Giulia , Ramsay Daniele S. C. , Daniel Roy T. , El Cadhi Ahmed , Kerherve Luc , Morlaix Edouard , Houidi Sayda A. , Millot-Piccoli Clément , Chapon Renan , Le Van Tuan , Cao Catherine , Farah Walid , Lleu Maxime , Baland Olivier , Beaurain Jacques , Petit Jean Michel , Lemogne Brivaël , Messerer Mahmoud , Berhouma Moncef
Published: October 2024

Background/Objectives: The recent discovery of BRAF mutation in papillary craniopharyngiomas opened new avenues for targeted therapies to control tumour growth, decreasing the need for invasive treatments and relative complications. The aim of this systematic review was to summarize the recent scientific data dealing with the use of targeted therapies in papillary craniopharyngiomas, as adjuvant and neoadjuvant treatments. Methods: The PRISMA guidelines were followed with searches performed in Scopus, MEDLINE, and Embase, following a dedicated PICO approach. Results: We included 21 pertinent studies encompassing 53 patients: 26 patients received BRAF inhibitors (BRAFi) as adjuvant treatment, while 25 received them as neoadjuvant treatment. In the adjuvant setting, BRAFi were used to treat recurrent tumours after surgery or adjuvant radiation therapy. The most common regimen combined dabrafenib (BRAFi) with trametinib (MEK1 and 2 inhibitor) in 81% of cases. The mean treatment length was 8.8 months (range 1.6 to 28 months) and 32% were continuing BRAFi. A reduction of tumour volume variable from 24% to 100% was observed at cerebral MRI during treatment and volumetric reduction ≥80% was described in 64% of cases. Once the treatment was stopped, adjuvant treatments were performed to stabilize patients in remission in 11 cases (65%) or when a progression was detected in three cases (12%). In four cases no further therapies were administered (16%). Mean follow-up after the end of targeted therapy was 17.1 months. As neoadjuvant regimen, 36% of patients were treated with dabrafenib and trametinib with a near complete radiological response in all the cases with a mean treatment of 5.7 months. The neoadjuvant use of verumafenib (BRAFi) and cometinib (MEK1 inhibitor) induced a near complete response in 15 patients (94%), with a median volumetric reduction between 85% and 91%. Ten patients did not receive further treatments. Side effects varied among studies. The optimal timing, sequencing, and duration of treatment of these new therapies should be established. Moreover, questions remain about the choice of specific BRAF/MEK inhibitors, the optimal protocol of treatment, and the strategies for managing adverse events. Conclusions: Treatment is shifting to a wider multidisciplinary management, where a key role is played by targeted therapies, to improve outcomes and quality of life for patients with BRAF-mutated craniopharyngiomas. Future, larger comparative trials will optimize their protocol of use and integration into multimodal strategies of treatment.
Development of an MRI Radiomic Machine-Learning Model to Predict Triple-Negative Breast Cancer Based on Fibroglandular Tissue of the Contralateral Unaffected Breast in Breast Cancer Patients
Authors: Lo Gullo Roberto , Ochoa-Albiztegui Rosa Elena , Chakraborty Jayasree , Thakur Sunitha B. , Robson Mark , Jochelson Maxine S. , Varela Keitha , Resch Daphne , Eskreis-Winkler Sarah , Pinker Katja
Published: October 2024

Aim: The purpose of this study was to develop a radiomic-based machine-learning model to predict triple-negative breast cancer (TNBC) based on the contralateral unaffected breast’s fibroglandular tissue (FGT) in breast cancer patients. Materials and methods: This study retrospectively included 541 patients (mean age, 51 years; range, 26–82) who underwent a screening breast MRI between November 2016 and September 2018 and who were subsequently diagnosed with biopsy-confirmed, treatment-naïve breast cancer. Patients were divided into training (n = 250) and validation (n = 291) sets. In the training set, 132 radiomic features were extracted using the open-source CERR platform. Following feature selection, the final prediction model was created, based on a support vector machine with a polynomial kernel of order 2. Results: In the validation set, the final prediction model, which included four radiomic features, achieved an F1 score of 0.66, an area under the curve of 0.71, a sensitivity of 54% [47–60%], a specificity of 74% [65–84%], a positive predictive value of 84% [78–90%], and a negative predictive value of 39% [31–47%]. Conclusions: TNBC can be predicted based on radiomic features extracted from the FGT of the contralateral unaffected breast of patients, suggesting the potential for risk prediction specific to TNBC.
Dietary Rhythms and MASLD-Related Hepatocellular Carcinoma
Authors: Malakmahmoudi Nadia , Pisu Roberta , Laconi Ezio , Marongiu Fabio
Published: October 2024

Dietary rhythms have emerged as a relevant variable in the equation relating nutrition and health. Both experimental and epidemiological studies point to potential beneficial effects of adequate fasting intervals between meals on the evolution of chronic diseases associated with aging. Metabolic dysfunction-associated steatotic liver disease (MASLD) is eminently related to diet and unsurprisingly, diet-based approaches are a mainstay in countering its long-term clinical evolution, including the emergence of hepatocellular carcinoma (HCC). We briefly discuss current evidence linking fasting intervals, MASLD, and HCC and propose a working hypothesis to reconcile some of the apparently conflicting results. This hypothesis relates the beneficial effects of time-restricted eating schedules to the quantity and quality of food, and it is easily amenable to testing.
Cardiac Aging in the Multi-Omics Era: High-Throughput Sequencing Insights
Authors: Song Yiran , Spurlock Brian , Liu Jiandong , Qian Li
Published: October 2024

Cardiovascular diseases are a leading cause of mortality worldwide, and the risks of both developing a disease and receiving a poor prognosis increase with age. With increasing life expectancy, understanding the mechanisms underlying heart aging has become critical. Traditional techniques have supported research into finding the physiological changes and hallmarks of cardiovascular aging, including oxidative stress, disabled macroautophagy, loss of proteostasis, and epigenetic alterations, among others. The advent of high-throughput multi-omics techniques offers new perspectives on the molecular mechanisms and cellular processes in the heart, guiding the development of therapeutic targets. This review explores the contributions and characteristics of these high-throughput techniques to unraveling heart aging. We discuss how different high-throughput omics approaches, both alone and in combination, produce robust and exciting new findings and outline future directions and prospects in studying heart aging in this new era.
Role of ACSBG1 in Brain Lipid Metabolism and X-Linked Adrenoleukodystrophy Pathogenesis: Insights from a Knockout Mouse Model
Authors: Ye Xiaoli , Li Yuanyuan , González-Lamuño Domingo , Pei Zhengtong , Moser Ann B. , Smith Kirby D. , Watkins Paul A.
Published: October 2024

“Bubblegum” acyl-CoA synthetase (ACSBG1) is a pivotal player in lipid metabolism during mouse brain development, facilitating the activation of long-chain fatty acids (LCFA) and their incorporation into lipid species that are crucial for brain function. ACSBG1 converts LCFA into acyl-CoA derivatives, supporting vital metabolic processes. Fruit fly mutants lacking ACSBG1 exhibited neurodegeneration and had elevated levels of very long-chain fatty acids (VLCFA), characteristics of human X-linked adrenoleukodystrophy (XALD). To explore ACSBG1’s function and potential as a therapeutic target in XALD, we created an ACSBG1 knockout (Acsbg1−/−) mouse and examined the effects on brain FA metabolism during development. Phenotypically, Acsbg1−/− mice resembled wild type (w.t.) mice. ACSBG1 expression was found mainly in tissue affected pathologically in XALD, namely the brain, adrenal gland and testis. ACSBG1 depletion did not significantly reduce the total ACS enzyme activity in these tissue types. In adult mouse brain, ACSBG1 expression was highest in the cerebellum; the low levels detected during the first week of life dramatically increased thereafter. Unexpectedly, lower, rather than higher, saturated VLCFA levels were found in cerebella from Acsbg1−/− vs. w.t. mice, especially after one week of age. Developmental changes in monounsaturated ω9 FA and polyunsaturated ω3 FA levels also differed between w.t. and Acsbg1−/− mice. ACSBG1 deficiency impacted the developmental expression of several cerebellar FA metabolism enzymes, including those required for the synthesis of ω3 polyunsaturated FA, precursors of bioactive signaling molecules like eicosanoids and docosanoids. These changes in membrane lipid FA composition likely affect membrane fluidity and may thus influence the body’s response to inflammation. We conclude that, despite compelling circumstantial evidence, it is unlikely that ACSBG1 directly contributes to the pathology of XALD, decreasing its potential as a therapeutic target. Instead, the effects of ACSBG1 knockout on processes regulated by eicosanoids and/or docosanoids should be further investigated.