Large language models (LLMs) such as ChatGPT, Claude, Llama, and Qwen are emerging as transformative technologies for the diagnosis and treatment of various diseases. With their exceptional long-context reasoning capabilities, LLMs are proficient in clinically relevant tasks, particularly in medical text analysis and interactive dialogue. They can enhance diagnostic accuracy by processing vast amounts of patient data and medical literature and have demonstrated their utility in diagnosing common diseases and facilitating the identification of rare diseases by recognizing subtle patterns in symptoms and test results. Building on their image-recognition abilities, multimodal LLMs (MLLMs) show promising potential for diagnosis based on radiography, chest computed tomography (CT), electrocardiography (ECG), and common pathological images. These models can also assist in treatment planning by suggesting evidence-based interventions and improving clinical decision support systems through integrated analysis of patient records. Despite these promising developments, significant challenges persist regarding the use of LLMs in medicine, including concerns regarding algorithmic bias, the potential for hallucinations, and the need for rigorous clinical validation. Ethical considerations also underscore the importance of maintaining the function of supervision in clinical practice. This paper highlights the rapid advancements in research on the diagnostic and therapeutic applications of LLMs across different medical disciplines and emphasizes the importance of policymaking, ethical supervision, and multidisciplinary collaboration in promoting more effective and safer clinical applications of LLMs. Future directions include the integration of proprietary clinical knowledge, the investigation of open-source and customized models, and the evaluation of real-time effects in clinical diagnosis and treatment practices.
Humans ; Large Language Models ; Tomography, X-Ray Computed

The success of chimeric antigen receptor T (CAR-T) cells therapy for hematologic malignancies has sparked interest in potential applications for solid tumors. However, unlike the homogeneous, dynamic, and nutrient-rich hematologic environment, CAR-T cells must overcome the complex tumor microenvironment. Ensuring efficient contact with tumor cells remains a primary challenge to enhance the efficacy of CAR-T cell therapy. Abnormal tumor angiogenesis, disordered chemokine production, dense extracellular matrix, and stromal cells all act as biological barriers that hinder contact of CAR-T cells with tumor cells. This review summarizes specific strategies to promote vascular normalization, modulate chemokine production, target physical barriers, combine different therapeutic approaches, and innovative cell delivery methods to enhance infiltration of CAR-T cells into solid tumors. These strategies will help to overcome current limitations and enhance the effectiveness of CAR-T cell therapy for solid tumors.

Radiochemotherapy-induced oral mucositis (OM) is a common oral complication in patients with tumors following head and neck radiotherapy or chemotherapy. Erosion and ulcers are the main features of OM that seriously affect the quality of life of patients and even the progress of tumor treatment. To date, differences in clinical prevention and treatment plans for OM have been noted among doctors of various specialties, which has increased the uncertainty of treatment effects. On the basis of current research evidence, this expert consensus outlines risk factors, clinical manifestations, clinical grading, ancillary examinations, diagnostic basis, prevention and treatment strategies and efficacy indicators for OM. In addition to strategies such as basic oral care, anti-inflammatory and analgesic agents, anti-infective agents, pro-healing agents, and photobiotherapy recommended in previous guidelines, we also emphasize the role of traditional Chinese medicine in OM prevention and treatment. This expert consensus aims to provide references and guidance for dental physicians and oncologists in formulating strategies for OM prevention, diagnosis, and treatment, standardizing clinical practice, reducing OM occurrence, promoting healing, and improving the quality of life of patients.
Humans ; Chemoradiotherapy/adverse effects* ; Consensus ; Risk Factors ; Stomatitis/etiology*

Neuroendocrine neoplasms(NENs)are a rare group of tumors that originated from peptidergic neurons and neuroendocrine cells,which has neuroendocrine differentiation characteristics and expresses neuroendocrine markers.NENs occur in all parts of the body,especially in lung,gastrointestinal tract and pancreas.Both domestic and foreign researches showed that the incidence of NENs is on the rise.NENs have high heterogeneity and can originate in multiple tissues and organs,including pituitary,thyroid,parathyroid,skin,bronchial lung and thymus,gastrointestinal tract and pancreas,adrenal glands,genitourinary organs,etc.At the same time,when the classification and grading of NENs originating from the same tissue or organ are different,they also have significantly different biological behaviors.The high heterogeneity of NENs determines the difficulty and complexity of its diagnosis.In addition to clinical symptoms,it also needs to include special biomarkers,endoscopy,ultrasound,computed tomography(CT),magnetic resonance imaging(MRI)and various functional imaging methods for integrated diagnosis.In addition,the treatment of NENs also covers endoscopic therapy,surgical treatment,interventional therapy,drug therapy,radiotherapy and peptide receptor radionuclide therapy(PRRT).The development of treatment strategies requires not only following guidelines,but also making individual choices on the basis of multidisciplinary team(MDT)collaboration and integrated diagnosis and treatment.In 2024,the Society of Neuroendocrine Neoplasm of China Anti-Cancer Association once again organized experts in relevant fields to formulate the"China Anti-Cancer Association guideline for diagnosis and treatment of neuroendocrine neoplasms(2025 edition)"on the basis of the"China Anti-Cancer Association guideline for diagnosis and treatment of neuroendocrine neoplasm(2022 edition)",domestic and international guidelines and consensus,as well as the latest clinical research results.The guideline had been registered on Practice guideline REgistration for transPAREncy(PREPARE)with the registration number PREPARE-2024CN1158.The 2025 edition updated and revised the relevant content from the 2022 edition and further expanded recommendations beyond thoracic,gastrointestinal tract and pancreas NENs,including pituitary neuroendocrine tumors(PitNETs),medullary thyroid carcinoma(MTC),pheochromocytoma/paragangliomas(PPGLs)and Merkel cell carcinoma(MCC),with the expectation of providing references for clinical practitioners.

Neuroendocrine neoplasms(NENs)are a rare group of tumors that originated from peptidergic neurons and neuroendocrine cells,which has neuroendocrine differentiation characteristics and expresses neuroendocrine markers.NENs occur in all parts of the body,especially in lung,gastrointestinal tract and pancreas.Both domestic and foreign researches showed that the incidence of NENs is on the rise.NENs have high heterogeneity and can originate in multiple tissues and organs,including pituitary,thyroid,parathyroid,skin,bronchial lung and thymus,gastrointestinal tract and pancreas,adrenal glands,genitourinary organs,etc.At the same time,when the classification and grading of NENs originating from the same tissue or organ are different,they also have significantly different biological behaviors.The high heterogeneity of NENs determines the difficulty and complexity of its diagnosis.In addition to clinical symptoms,it also needs to include special biomarkers,endoscopy,ultrasound,computed tomography(CT),magnetic resonance imaging(MRI)and various functional imaging methods for integrated diagnosis.In addition,the treatment of NENs also covers endoscopic therapy,surgical treatment,interventional therapy,drug therapy,radiotherapy and peptide receptor radionuclide therapy(PRRT).The development of treatment strategies requires not only following guidelines,but also making individual choices on the basis of multidisciplinary team(MDT)collaboration and integrated diagnosis and treatment.In 2024,the Society of Neuroendocrine Neoplasm of China Anti-Cancer Association once again organized experts in relevant fields to formulate the"China Anti-Cancer Association guideline for diagnosis and treatment of neuroendocrine neoplasms(2025 edition)"on the basis of the"China Anti-Cancer Association guideline for diagnosis and treatment of neuroendocrine neoplasm(2022 edition)",domestic and international guidelines and consensus,as well as the latest clinical research results.The guideline had been registered on Practice guideline REgistration for transPAREncy(PREPARE)with the registration number PREPARE-2024CN1158.The 2025 edition updated and revised the relevant content from the 2022 edition and further expanded recommendations beyond thoracic,gastrointestinal tract and pancreas NENs,including pituitary neuroendocrine tumors(PitNETs),medullary thyroid carcinoma(MTC),pheochromocytoma/paragangliomas(PPGLs)and Merkel cell carcinoma(MCC),with the expectation of providing references for clinical practitioners.

Humans ; Gastrointestinal Microbiome ; Constipation/therapy* ; Probiotics/therapeutic use* ; Patients

The incidence of early-onset gastric cancer (EOGC) is consistently increasing, and its etiology is notably complex. This increase may be attributed to distinctive factors that differ from those associated with late-onset gastric cancer (LOGC), including genetic predispositions, dietary factors, gastric microbiota dysbiosis, and screening of high-risk cases. These factors collectively contribute to the onset of cancer. EOGC significantly differs from LOGC in terms of clinicopathological and molecular characteristics. Moreover, multiple differences in prognosis and clinical management also exist. This study aimed to systematically review the latest research advancements in the epidemiological characteristics, etiological factors, clinicopathological and molecular features, prognosis, and treatment modalities of EOGC.

Objective:To compare the knowledge of endoscopic screening of gastrointestinal cancers between digestive healthcare workers and new chatbots (chatGPT and new Bing).Methods:A test with twenty-three questions of endoscopic screening of gastrointestinal cancers was conducted, focusing on the appropriate age of screening, high-risk factors, the follow-up time, and the advantages and risks of digestive endoscopy. Digestive healthcare workers were invited to complete the test through electronic questionnaires. New Bing and chatGPT were used to answer each question for 10 rounds. The primary endpoint was the correct rate of all answers. The answer accuracy between digestive healthcare workers and new chatbots were compared using variance analysis, and the factors that affected the accuracy of the answers in digestive healthcare workers were explored using univariate and multivariable liner regression analysis.Results:The results of the test completed by 76 digestive healthcare workers (21 residents, 28 digestive nurses, and 27 digestive doctors) were analyzed. The accuracies were 36.4%±10.9%, 34.5%±10.2%, 52.2%± 12.6%, 46.3%±9.8% and 67.1%±9.3% in residents, digestive nurses, digestive doctors, chatGPT, and new Bing, respectively, with significant difference ( F=22.6, P<0.001). The accuracy was highest in new Bing ( P<0.001). The accuracy was comparable between chatGPT and digestive doctors (LSD- t=-1.398, P=0.166), and both higher than that of digestive nurses (LSD- t=2.956, P=0.004; LSD- t=5.955, P<0.001) and residents (LSD- t=2.402, P=0.018; LSD- t=4.951, P<0.001). Furthermore, the accuracy was comparable between digestive nurses and residents (LSD- t=-0.574, P=0.567). Compared with new Bing, digestive doctors had lower accuracy in answering questions related to adverse events of screening, follow-up recommendation of intestinal metaplasia, high risk factors and screening methods for colon cancer ( P<0.05), but higher accuracy in answering questions related to endoscopic adverse events and screening methods for esophageal cancer ( P<0.05). Multivariable liner regression analysis showed that being digestive doctors ( β=11.7, t=3.054, P=0.003) and questionnaire response time (≥7.6 min) ( β=7.8, t=2.894, P=0.005) were independent factors for the answer accuracy of digestive healthcare workers. Conclusion:Compared with digestive healthcare workers, New chatbots—new Bing has higher accuracy in answering gastrointestinal cancer screening-related questions, but performs poorly in answering questions such as adverse events of endoscopy and screening methods for esophageal cancer.

Objective To investigate the effect of knockdown of O-GlcNAc transferase (OGT) on hepatocyte fat synthesis.Methods Liver cell line L02 were used to established the model of hepatic steatosis.The levels of OGT and O-GlcNAc protein were detected by Western blot.The OGT knockdown cell line of L02 cells was established,and its lipid formation ability was detected after induction of oleic acid (OA).Real-time quantitative PCR (qRT-PCR) and Western blot were used to detect mRNA and protein expression of enzymes related to fat synthesis.An independent sample t test was used.Results Western blot showed that the expression of OGT and O-GlcNAc was increased in L02 cells after adipogenesis (P ＜ 0.05).After shOGT lentivirus infects L02 cells,OGT mRNA levels were down-regulated (P ＜ 0.01).Oil red O staining showed that the lipid in L02 shOGT cells decreased,qRT-PCR showed that the mRNA expressions of fat synthase (ACC1),(FASN) and (SCDl) were decreased,the difference was statistically significant (P ＜ 0.05),protein Expression is consistent with mRNA expression.Conclusion Knockdown of OGT can inhibit hepatocyte fat synthesis by reducing O-GlcNAc levels.

Animals ; Gastrointestinal Microbiome ; Gastrointestinal Tract ; microbiology ; Humans ; Obesity ; microbiology ; pathology ; therapy