Basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC), as certain forms of non-melanoma skin cancer (NMSC) or keratinocyte carcinoma, are the most common forms of malignant neoplasms worldwide (Sharp et al., 2024). BCC and cSCC have been identified as two major components of NMSC, comprising one-third of all malignancies (Burton et al., 2016). Generally speaking, patients with NMSC tend to have relatively favorable survival outcomes, while different histopathological subtypes of NMSC exhibit distinct biological behaviors (Stătescu et al., 2023). Keratinocyte carcinoma, although not considered as deadly as melanoma, tends to metastasize if left untreated (Civantos et al., 2023; Nanz et al., 2024). cSCC can evolve locally, then aggressively metastasize, invade, and even lead to fatal consequences in a subset of patients (Winge et al., 2023). A solid, pigmented, smooth plaque or a hyperkeratotic papule with or without central ulceration and hemorrhage appears to be characteristic of cSCC (Thompson et al., 2016; Zhou et al., 2023). Of note, a rare type of intraepidermal cSCC in situ often appears as a velvety, demarcated, slightly raised erythematous plaque on the genitalia of men (Yamaguchi et al., 2016). Accounting for approximately 16.0% of scalp tumors and with a rising incidence, cSCC is now the second most common NMSC in humans (Verdaguer-Faja et al., 2024). According to the latest statistics, up to 2%‒5% of cSCCs in situ may gradually progress into invasive cSCCs in the final step (Rentroia-Pacheco et al., 2023). Several risk factors for the carcinogenesis and development of cSCC have been identified, including age, accumulative exposure to ultraviolet light radiation A and B, human papillomavirus infection, arsenic ingestion, chronic scarring, xeroderma pigmentosa, a relevant history of ionizing radiation, androgenetic alopecia in males, and immunosuppression therapy (Martinez and Otley, 2001; Welsch et al., 2012; Mortaja and Demehri, 2023).
Humans ; Aminolevulinic Acid/therapeutic use* ; Skin Neoplasms/pathology* ; Photochemotherapy/methods* ; Female ; Carcinoma, Squamous Cell/pathology* ; Middle Aged ; Photosensitizing Agents/therapeutic use* ; Carcinoma, Basal Cell/drug therapy*

Objective:To evaluate the efficacy and safety of venetoclax in combination with multidrug chemotherapy in patients with newly diagnosed acute leukemia of ambiguous lineage (ALAL) .Methods:A retrospective analysis of clinical data was performed on patients with newly diagnosed ALAL who were hospitalized at Jiangsu Provincial People's Hospital from June 2021 to July 2024. Of the 13 patients who received initial induction therapy with venetoclax combined with multidrug chemotherapy, 8 received VAA+P regimen, and 5 received V+IA regimen. Patients with FLT3 mutation were treated with FLT3 inhibitor, and Ph + patients received an additional tyrosine kinase inhibitor. Overall survival (OS), disease-free survival (DFS), and adverse events were analyzed. Results:According to the World Health Organization 5th edition of the classification of hematolymphoid tumors, the immunophenotypes were T/myeloid mixed-phenotype acute leukemia (MPAL) ( n=4), B/myeloid MPAL ( n=7), and ALAL- not otherwise specified ( n=2). Of the seven patients with B/myeloid MPAL, four were Ph + and belonged to the group with specific gene abnormalities of ALAL. Three patients had FLT3 mutation (one with FLT3-TKD mutation and two with FLT3-ITD mutation). Prior to the second course of consolidation therapy, the efficacy of venetoclax induction therapy was evaluated, and a complete response rate of 100% was achieved in 13 patients. In the subsequent consolidation therapy phase, one patient discontinued treatment and was lost to follow-up; nine patients underwent allogeneic hematopoietic stem cell transplantation, four of whom died due to posttransplant complications and five achieved DFS. Of the three patients (≥70 years old) who received consolidation therapy as before, two achieved DFS and one died due to central nervous system leukemia. The median OS time was not reached in 13 patients; the 75th percentile survival time was 12.0 months, with a 12-month cumulative survival rate of 64.5%. The median DFS time was not reached in all patients; the 75th percentile DFS time was 8.2 months, with a 12-month cumulative DFS rate of 67.1%. All patients experienced grade 3 or 4 hematologic toxicity, including neutropenia and thrombocytopenia, during and after induction therapy. All patients recovered hematopoietic function after the initial induction therapy, with no fatal hemorrhage, tumor lysis syndrome, neurological adverse events, or grade 3 or higher organ toxicity, excluding preexisting conditions. Conclusion:Venetoclax in combination with multidrug chemotherapy was effective and associated with tolerable adverse reactions in patients with newly diagnosed ALAL.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

Shared Decision-Making （SDM） is a crucial concept in modern medicine， emphasizing the joint participation of doctors and patients in the medical decision-making process. However， the authoritative position of doctors and the passive role of patients in traditional medical models often overlook the personal wishes and needs of patients， leading to tense doctor-patient relationships and medical disputes. By listening to and understanding their stories， narrative medicine helps doctors gain a more comprehensive understanding of patients’ situations and balances medical advice with patient needs in the decision-making process. Through systematic literature analysis and theoretical exploration， this paper investigated the application effects and mechanisms of narrative medicine in different medical contexts， as well as analyzed its specific role in the process of SDM. The aim is to explore the value of narrative medicine in bridging differences in SDM， revealing its role in promoting doctor-patient communication， enhancing decision-making participation， and improving medical outcomes. Researches had found that narrative medicine enhanced doctors’ “narrative ability”， promoted emotional communication and trust between doctors and patients， reduced conflicts and misunderstandings in decision-making， and improved patients’ sense of participation and trust， thus playing an important role in SDM. Therefore， by enhancing doctor-patient communication and understanding， promoting SDM and treatment selection between doctors and patients， personalized care and treatment optimization， advocating for doctor-patient co-construction， improving consultation efficiency， restoring the patient’s subject position， and other methods， it can bridge doctor-patient differences， promote communication and enhance decision-making participation， and improve medical outcomes and patient satisfaction.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To identify core genes with co-expression trends in the suprachiasmatic nucleus (SCN) and lateral habenula (LHb) through miRNA sequencing, and to explore the molecular mechanisms underlying the onset and progress of sleep disturbances in depression.Methods:A rat model of depression with sleep disturbances was established. Behavioral assessments were conducted using the pentobarbital-induced sleep test, sucrose water consumption test, and open field test. Differentially expressed genes (DEGs) in the SCN and LHb of model rats were analyzed using biological replicates with the limma package and DESeq2 software. Gene ontology (GO), KEGG, Reactome pathway-gene set enrichment analysis (GSEA) were performed on the DEGs.Co-expression networks and protein-protein interaction (PPI) networks were constructed using R and Cytoscape software for further screening of genes with potential regulatory roles.Results:After modeling, the sleep latency in the model group ((679.88±350.05) s) was longer than that in the normal group ((316.25±87.35) s) ( t=-2.851, P=0.022), while the sleep duration in the model group ((33.13±8.41) min) was shorter than that in the normal group ((69.72±25.11) min) ( t=3.907, P=0.004). Additionally, the model group exhibited lower sucrose water consumption, horizontal movement counts, and vertical movement counts compared to the normal group (all P<0.05). Differential expression gene analysis showed, in the SCN, 379 genes were upregulated and 132 genes were downregulated, with the top five most significantly differentially expressed genes being Sec61g, Cox6b1, Ephx2, Thrsp, and Pak2. In the LHb, 1 657 genes were upregulated and 1 737 were downregulated, with the top five most significantly differentially expressed genes being Mrpl32, Mrpl20, Mrpl27, Celsr2, and Uba52. Biological pathways enriched in the SCN were mainly associated with the positive regulation of responses to external and biological stimuli. In contrast, pathways enriched in the LHb were related to neurotransmitter level regulation, developmental growth, neurotransmitter transport, and processes such as learning and memory. Co-expression network analysis identified 864 interactions involving 100 nodes in the SCN and 524 interactions involving 99 nodes in the LHb. Conclusion:The biological functions and signaling pathways of the suprachiasmatic nucleus and lateral habenula are different in the occurrence and development of depression with sleep disturbance, and the significantly differentially expressed genes may play an important role.

Objective:To explore the impact of sleep disturbances on the symptoms and functional impairment outcomes in children with attention deficit hyperactivity disorder (ADHD) and their path analysis.Methods:A cross-sectional study was made.Two hundred and seventy-eight ADHD children aged 6-12 years were selected from the Center for Cognition and Sleep, the People′s Hospital of Guangxi Zhuang Autonomous Region from January 2022 to March 2023.The Swanson, Nolan and Pelham Rating Scale Ⅳ was used to evaluate the core symptoms of ADHD (namely, attention deficit and hyperactivity).The sleep disturbance scale for children was used to assess sleep disturbances [including disorders in initiating and maintaining sleep(DIMS), sleep breathing disorders, sleep-wake transition disorders (SWTD), disorders of arousal, disorders of excessive somnolence (DOES) and nocturnal hyperhidrosis].The Weiss Functional Impairment Rating Scale-Parent Report (WFIRS-P) was used to assess functional impairment (in family, learning and school, life skills, self-concept, social activities, and risky activities).The descriptive statistical analysis, t test, multivariate linear regression and path analysis were used for statistical analysis. Results:Compared with those without sleep disturbances, ADHD children with sleep disturbances had significantly more serious functional impairment in family [(0.87±0.42) scores vs.(0.63±0.45) scores, P<0.001], learning and school [(0.75±0.37) scores vs.(0.62±0.35) scores, P=0.011], life skills [(1.30±0.37) scores vs.(1.08±0.30) scores, P<0.001], self-concept [(1.20±0.57) scores vs.(0.92±0.49) scores, P<0.001], social activities [(0.88±0.44) scores vs.(0.67±0.42) scores, P<0.001] and risky activities [(0.28±0.24) scores vs.(0.21±0.21) scores, P=0.043].The results of multivariate linear regression analysis showed that after adjusting for gender, age, total intelligence quotient, and core symptoms of ADHD, the regression coefficients of DOES in domains of family ( B=0.02, P=0.042) and life skills ( B=0.03, P<0.001) and the regression coefficient of DIMS in self-concept were still statistically significant ( B=0.02, P=0.013).The path analysis results showed that DOES ( β=0.170, P=0.004), attention deficit ( β=0.223, P<0.001) and hyperactivity ( β=0.385, P<0.001) directly affected WFIRS-P.DOES indirectly affected WFIRS-P through attention deficit ( β=0.270, P<0.001), and SWTD indirectly affected WFIRS-P through hyperactivity ( β=0.199, P=0.004). Conclusions:Severer sleep disturbances are associated with severer functional impairment in children with ADHD, and sleep phenotypes can directly or indirectly affect functional impairment outcomes in different domains in children with ADHD through core symptoms of ADHD.

Objective:To analyze the clinical and genetic features of four children with pediatric acute liver failure (PALF) caused by neuroblastoma-amplified sequence ( NBAS) gene variant, as well as the correlation between clinical phenotype and genotype. Methods:The clinical data and genetic test results of four children with NBAS gene variants admitted to the Department of Gastroenterology, Children's Hospital Affiliated to Zhejiang University School of Medicine from August 2015 to June 2023 mainly presenting with pediatric acute liver failure (PALF) were retrospectively analyzed. The relevant literature from January 2015 to May 2024 was retrieved using the Chinese and English keywords " NBAS," "neuroblastoma amplified sequence," "SOPH," "short stature with optic nerve atrophy and Pelger Hu?t anomaly," "liver failure," and "neuroblastoma amplified sequence" indexed in the CNKI database, Wanfang Data Knowledge Service Platform, and PubMed database. The clinical features and gene mutation characteristics of domestic patients were summarized. Results:The age at which the initial PALF attack occurred in the four children varied from eight months to three years and seven months. All patients developed PALF within 1-2 days after the onset of fever, with symptoms such as vomiting, convulsions, and mental depression or confusion, accompanied by a sharp increase in transaminases, elevated bilirubin and blood ammonia, hyperlactatemia, and hepatomegaly. The PALF gradually improved, and three pediatric patients showed extrahepatic manifestations following antipyretic, fluid replacement, and other symptomatic supportive treatment. Long-term follow-up showed that active temperature control and symptomatic therapy reduced the recurrence of PALF. Genetic testing identified eight kinds of NBAS gene variants sites. Family testing validated compound heterozygous variants, which included four missense variants, one nonsense variants, and three frameshift mutations. A literature study revealed that out of 51 Chinese patients with NBAS gene variants, 98.0% (50/51) had liver involvement, and 37 cases showed PALF. A total of 61 mutation sites were identified, with c.3596G>A (45.1%, 23/51) as a hotspot variants. Conclusions:PALF caused by NBAS gene variant has obvious clinical and genetic characteristics, and there is a correlation between genotype and clinical phenotype. The c.3596G>A variant site is a hotspot mutation in China and is strongly correlated with the liver failure phenotype.