Background/Aims: Hepatocellular carcinoma (HCC) is characterized by profound transcriptomic dysregulation, yet the mechanism(s) by which DNA methylation is coordinated with chromatin modifications to regulate alternative splicing during tumorigenesis remains poorly understood. Methods: Using prospectively paired multi-omics data obtained from metabolic dysfunction-associated steatotic liver disease (MASLD)-HCC patients and coupled with a premalignant MASLD cohort, we have uncovered a previously unrecognized gene-regulatory axis centered on TACC3 isoform-switching. Results: In the non-tumoral context, the TACC3-201 isoform directly engages the histone acetyltransferase KAT2A to coordinate the regulation of NOTCH4 signaling. In HCC, this regulatory axis is disrupted whereby FOXM1 overrides DNMT1-mediated methylation, upregulating TACC3, and decoupling TACC3 from the KAT2A-associated NOTCH4 co-expression module. This rewiring is licensing tumor-specific cell-cycle progression and epigenetic plasticity. Thus, FOXM1 reshapes the TACC3-KAT2A interaction, while DNMT1 drives context-dependent DNA methylation, activating the CDK1-inhibitory kinase PKMYT1. Conclusions We uncovered TACC3-KAT2A as an emerging regulatory axis caused by alternative splicing in HCC and propose FOXM1-driven TACC3 inhibition to synergistically disrupt mitotic fidelity and transcriptional regulation, potentially offering new therapeutic avenues for HCC with reduced toxicity to the normal liver.

Background: In Mongolia, cervical cancer accounted for 11.9% of all cancers diagnosed in women and 7.3% of cancer-related deaths in 2017, ranking as the third most common cancer among women. The American Society for Radiation Oncology (ASTRO) guidelines recommend concurrent chemo-radiotherapy (CCRT) as a standard and effective treatment for patients with FIGO stage IB3–IVA cervical cancer. Accurate assessment of tumor response following CCRT is essential for evaluating treatment efficacy, identifying residual disease, and estimating the risk of recurrence. Magnetic resonance imaging (MRI) is widely used to assess tumor size, local extent, parametric involvement, and post-treatment morphological changes. In contrast, 18F-FDG PET/CT provides both anatomical and functional information and enables quantitative assessment of tumor metabolic activity using the standardized uptake value (SUV). Aim: To estimate the relationship between treatment response to concurrent chemo-radiotherapy and radiological parameters obtained from MRI and 18F-FDG PET/CT in patients with cervical cancer. Materials and Methods: This retrospective study included 35 patients with histo-pathologically confirmed cervical carcinoma who received concurrent chemo-radiotherapy at the Department of Radiation Oncology, National Cancer Center, between 2024 and 2025. Pelvic MRI examinations were performed using a 1.5-T Siemens MRI system to evaluate tumor dimensions and local tumor characteristics before and after treatment. 18F-FDG PET/CT was performed to assess the metabolic activity of the primary tumor, and the maximum SUV was measured. Tumor response following CCRT was evaluated according to the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. The relationships between tumor response, changes in tumor size, and pre-treatment SUV were statistically analyzed. Result: A total of 35 patients aged 32–73 years were included in the study, with a mean age of 51.2±12.6 years. The mean baseline longitudinal tumor diameter measured by MRI was 54.3±15.8 mm. Twenty-eight patients (80.0%) had tumors larger than 4 cm, whereas 7 (20.0%) had tumors smaller than 4 cm. According to the FIGO staging system, 22 patients (62.9%) had stage IIIC1 disease, 7 (20.0%) had stage IIIC2, 3 (8.6%) had stage IIIB, 2 (5.7%) had stage IIB, and 1 (2.9%) had stage IVA disease. Histopathologically, 31 patients (88.6%) had squamous cell carcinoma, 3 (8.6%) had adenocarcinoma, and 1 (2.9%) had clear cell carcinoma. Of the 35 patients, 23 (65.7%) had reached the scheduled post-treatment follow-up time and were evaluable for treatment response according to RECIST 1.1, whereas 12 patients (34.3%) had not yet reached the scheduled time for post-treatment assessment. Among the 23 evaluable patients, 15 (65.2%) achieved a complete response (CR), while 8 (34.8%) achieved a partial response (PR). Following CCRT, the longest tumor diameter measured by MRI decreased by a mean of 94.8% in the CR group and 65.3% in the PR group. The reduction in tumor diameter was significantly greater in the CR group than in the PR group (p=0.0016). The mean baseline primary tumor SUVmax on 18F-FDG PET/CT was 16.0±9.8 in the CR group and 24.3±14.5 in the PR group. Although the baseline SUVmax tended to be lower in the CR group, the difference did not reach statistical significance (Mann–Whitney U test, p=0.059). A higher baseline SUVmax tended to be associated with a smaller reduction in tumor diameter following CCRT. Conclusion CCRT resulted in a significant reduction in primary tumor size in patients with cervical cancer. The reduction in tumor size was significantly greater among patients who achieved a complete response than among those who achieved a partial response. Although pre-treatment 18F-FDG PET/CT findings suggest that MRI-based tumor size assessment combined with metabolic information from 18F-FDG PET/CT may provide complementary information for evaluating treatment response following CCRT.

With the extensive application of low-dose ionizing radiation (LDIR) in medicine, aerospace, and other fields, the potential for exposure among the general population and occupationally exposed workers has increased, raising growing public health concerns regarding its possible effects on cognitive function. Current occupational and environmental radiation protection frameworks are primarily established based on cancer risk estimates derived from epidemiological evidence under high-dose exposure and extrapolation across dose ranges, whereas evidence regarding non-cancer outcomes, including potential cognitive effects of LDIR, remains limited and inconsistent, and the underlying neurobiological mechanisms have not been fully elucidated. This review summarized recent advances in research on the effects of LDIR on cognitive function and the associated neural mechanisms. Existing evidence indicates that LDIR may adversely affect cognitive domains including spatial memory and object recognition memory under certain exposure conditions, with potential mechanisms involving alterations in synaptic plasticity, microglia activation, neurodevelopmental processes, epigenetic regulation, and DNA damage and repair pathways. In contrast, studies using pathological models, including stroke and neurodegenerative diseases, have reported potential protective effects of LDIR, which may be mediated by attenuation of oxidative stress, neuroinflammation and activation of endogenous repair pathways. This indicates that LDIR has both damaging and protective effects on brain function; a deeper understanding of its patterns and mechanisms can provide a scientific basis for establishing occupational and environmental radiation protection standards. Furthermore, re-examining the LDIR risk assessment system may also offer new insights into exploring the therapeutic potential of LDIR for brain diseases.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.

Background: A comparative study of classical medical texts within Traditional Medicine provides a vital framework for uncovering the origins, development, transmission, and historical significance of healing traditions. This approach highlights a specific culture’s contribution to medical knowledge and reflects the intricate interplay of religion, culture, and philosophical thought embedded in those eras. Aim: To conduct a comparative analysis of the depictions of the “Medicinal Mandala” as described in the first chapter of the “Root Tantra” section in the two classical medical sources Sorig Bumshi and Gyudshi. Materials and Methods: This research examines two foundational Tibetan medical texts—Sorig Bumshi and Gyudshi—using theme-based classification and content analysis methodologies grounded in textual source criticism. Results: The findings confirm that Sorig Bumshi, a Bönpo medical text from the ancient Zhangzhung civilization, was composed earlier. The great translator Byaruzana translated it from the Zhangzhung language, after which Yuthok Yönten Gönpo and collaborators edited, revised, and systematized the text to form Gyudshi, embedding it in Buddhist epistemological frameworks. Conclusions 1. The medicinal mandala of Gyudshi—structured around a central "beautiful medicinal city" surrounded by four directional mountains—demonstrates a refined adaptation of the more expansive, sacred mandala depicted in Sorig Bumshi, which is centered on Olmo Lung Ring, a Bönpo pure land rich in symbolic geography. 2. The numerical values recorded in both texts—particularly the recurring use of 360 and 404—suggest different paradigms in medical theory. Sorig Bumshi embeds these numbers within a Bön cosmological and ritual context (e.g., 360 deities, mountains, and healing lakes), while Gyudshi reinterprets them under Buddhist causal reasoning (e.g., 404 diseases derived from wind, bile, phlegm, and karma). This transformation reflects a shift from Bön to Buddhist medical epistemology through selective integration and doctrinal refinement.

Background: Implant restoration necessitates meticulous attention to the profile, and texture of gingival soft tissue. The healing abutment plays a critical role as a gingival shaping tool, with its neck design significantly impacting soft tissue profile and crown aesthetics. Aim: This study explores the impact of a modified anatomic healing abutment (MAHA) on morphological changes in gingival soft tissue and patient satisfaction following mandibular first molar implant restoration. Materials and Methods: Thirty patients with a single missing mandibular first molar undergoing implant repair were randomly assigned to either the control group (n=15) or the experimental group (n=15). The experimental group received a MAHA post-dental implantation, while the control group received a standard healing abutment. Both groups underwent crown restoration after 2 months. Peri-implant soft tissue index, Pink Esthetic Score (PES), and patient satisfaction were assessed at postoperative day (T0), 1 month (T1), 3 months (T2), and 6 months (T3). Independent sample t-tests were conducted with a significance level of α=0.05, where P < 0.05 indicated statistical significance Results: No significant differences in peri-implant soft tissue index were observed between the experimental and control groups at T0, T1, T2, and T3 (P>0.05). The mean PES value in the experimental group exceeded that of the control group at T0, T1, and T2 (P < 0.05). VAS scores showed no significant differences between the groups at T0, T1, and T3 (P>0.05), but at T2, the experimental group exhibited higher satisfaction levels than the control group (P < 0.05) Conclusion The modified anatomic healing abutment for a mandibular first molar implant demonstrates superior soft tissue contouring compared to the standard healing abutment, leading to heightened patient satisfaction during prosthesis wear. Clinical Significance: The use of a MAHA in mandibular first molar implant restorations can enhance soft tissue contour and improve early esthetic outcomes without compromising peri-implant health. This approach also contributes to increased patient satisfaction during the prosthetic phase, supporting its clinical application for optimizing both functional and esthetic results in implant dentistry.

[摘 要] 目的：基于生物信息学分析和体内、体外实验研究长链非编码RNA00511（LINC00511）敲减对非小细胞肺癌细胞增殖、凋亡、侵袭等恶性生物学行为的影响，并初步探究其作用机制。方法：通过基因表达谱交互分析（GEPIA）数据库分析LINC00511在非小细胞肺癌的表达水平，及其与患者肿瘤分期、生存期等临床特征、肿瘤细胞恶性生物学行为有关基因的相关性；利用shRNA慢病毒载体构建LINC00511敲减的H1299肺癌细胞株，克隆形成实验、划痕愈合实验和流式细胞术分别检测对H1299细胞增殖、迁移、细胞周期和凋亡能力的影响，qRT-PCR检测相关调控基因表达，WB法检测肿瘤相关蛋白的表达；构建裸鼠皮下移植瘤模型，取瘤组织进行免疫组织化学实验检测Ki67表达情况。结果：GEPIA数据库分析表明LINC00511在非小细胞肺癌组织中表达水平升高，且与该病的临床分期情况相关（P < 0.05），LINC00511与肺癌中CASP3、CCNB1、CDK4等多种基因表达均有相关性（P < 0.01）；LINC00511敲减可抑制细胞的克隆形成和迁移能力、促进肺癌细胞凋亡并影响细胞周期进展（P < 0.05，P < 0.01）；LINC00511敲减可下调肺癌细胞CCNB、CDK4、TGF-β1基因的表达（P < 0.01），对CCND1、VEGFA基因表达无明显影响，LINC00511敲减可抑制细胞内MMP9、CTNNB1表达，上调CASP3的表达（P < 0.05，P < 0.01）；裸鼠体内实验证实，LINC00511敲减可抑制移植瘤体组织内Ki67的表达（P < 0.01）。结论：LINC00511在非小细胞肺癌组织中呈高表达，与肺癌临床分期和多种基因表达具有相关性，LINC00511敲减可能通过影响相关基因、蛋白的表达，抑制肺癌H1299细胞的恶性生物学行为。

Objective: Executive function correlates with the parasympathetic nervous system (PNS) based on static heart rate variability (HRV) measurements. Our study advances this understanding by employing dynamic assessments of the PNS to explore and quantify its relationship with inhibitory control (IC). Methods: We recruited 31 men aged 20–35 years. We monitored their electrocardiogram (ECG) signals during the administration of the Conners’ Continuous Performance Test-II (CCPT-II) on a weekly basis over 2 weeks. HRV analysis was performed on ECG-derived RR intervals using 5-minute windows, each overlapping for the next 4 minutes to establish 1-minute intervals. For each time window, the HRV metrics extracted were: mean RR intervals, standard deviation of NN intervals (SDNN), low-frequency power with logarithm (lnLF), and high-frequency power with logarithm (lnHF). Each value was correlated with detectability and compared to the corresponding baseline value at t0. Results: Compared with the baseline level, SDNN and lnLF showed marked decreases during CCPT-II. The mean values of HRV showed significant correlation with d’, including mean SDNN (R=0.474, p=0.012), mean lnLF (R=0.390, p=0.045), and mean lnHF (R=0.400, p=0.032). In the 14th time window, the significant correlations included SDNN (R=0.578, p=0.002), lnLF (R=0.493, p=0.012), and lnHF (R=0.432, p=0.031). Significant correlation between d’ and HRV parameters emerged only during the initial CCPT-II. Conclusion A significant correlation between PNS and IC was observed in the first session alone. The IC in the repeated CCPT-II needs to consider the broader neural network.