1.High-throughput Sequencing of MET Mutational Landscape in Cancer Patients and the Value of IHC Screening for Targeted Therapy
Feicheng YANG ; Lixia JIANG ; Ruobing LIU ; Kai YANG ; Yewei LI ; Yi XIONG ; Hao DENG ; Jie HU
Journal of Sun Yat-sen University(Medical Sciences) 2026;47(1):172-181
ObjectiveTo investigate the mutation status of the MET gene in tumor patients, with a focus on its expression in lung cancer tissues and its impact on patient prognosis, providing theoretical basis and potential targets for precise diagnosis and treatment of the tumors. MethodsA total of 1,627 tumor patient samples were collected from January 2021 to September 2025. High-throughput sequencing technology was used to conduct DNA-level gene detection on 137 tumor patients with MET mutations. The distribution of mutation sites in exons and introns, as well as the occurrence frequencies of MET gene amplification and gene fusion were analyzed, with particular attention paid to the mutation frequencies of each exon and the high-frequency variant types. Immunohistochemical staining was performed to analyze the expression levels of c-MET protein in tumor tissues of the 137 patients. Immunohistochemical analysis was conducted on tumor tissues of 9 patients with MET gene exon 14 skipping mutations to study the association between c-MET protein expression and this specific mutation type. RNA sequencing results, immunohistochemical staining data, and follow-up prognosis of lung cancer from the GEPIA2 database and TCGA database were comprehensively analyzed to explore the potential relationship between MET gene expression in tumor tissues and patient prognosis. ResultsAmong 1,627 tumor patients, 137 MET mutation patients were detected, including 93 males with an average age of (66.85±9.61) years and 44 females with an average age of (59.43±11.08) years. Lung cancer was the most common tumor type (117 cases). MET gene expression was lower in breast cancer and glioblastoma multiforme, but higher in lung cancer and colorectal cancer as compared with the expression in normal tissues. Survival analysis showed that patients with high MET gene expression in lung adenocarcinoma had a shorter overall survival time than those with low expression. A total of 961 mutations were detected by next-generation sequencing, including 547 exon mutations and 374 intron mutations. MET gene amplification was found in 13 cases and gene fusion in 27 cases. The highest mutation frequency was in exon 2, followed by exon 5, exon 4, and exon 19. High-frequency variant types included c.2890C>A (p.L964M) on exon 4 and c.3028G>T (p.D1010Y) on exon 5. The c-MET protein expression was closely related to the type of gene mutation. Missense mutations often led to positive or strongly positive c-MET protein expression, while nonsense mutations often resulted in weak or absent c-MET protein expression. Among the 9 patients with MET gene exon 14 skipping mutations, the c-MET protein expression score was mostly 0 - 1, with only 1 case scoring 2. Among the 117 lung cancer patients, the incidence rate was higher in males than in females, and more common among stage Ⅲ-Ⅳ patients than among stage I-Ⅱ patients. Out of the 41 patients treated with surgery + targeted drugs (gutemitinib, savolitinib), 8 cases of recurrence or metastasis were found during follow-up. ConclusionMET gene mutations exhibit specific mutation characteristics in different tumor types, and its expression levels show significant differences between various tumor tissues and normal tissues. It is closely related to the poor prognosis of lung adenocarcinoma patients. We found that c-MET protein expression is closely related to the type of MET gene mutation, especially in patients with MET gene exon 14 skipping mutations, which presents a characteristic expression pattern. This provides an important basis for the preliminary screening using immunohistochemistry in clinical practice.
2.Effect of flexible endoscopic evaluation of swallowing on clinical functional outcomes in patients with intensive care unit-acquired swallowing disorders
Yandong SUN ; Lixia HAO ; Yan ZHANG ; Naqi ZHOU ; Zhiyu JIAO ; Ying JIAO ; Yihuan DONG ; Ling XU ; Huri LETEMUER
Chinese Journal of Otorhinolaryngology Head and Neck Surgery 2025;60(11):1383-1388
Objective:To evaluate the effect of fiberoptic endoscopic evaluation of swallowing (FEES) on clinical functional outcomes of patients with intensive care unit-acquired swallowing disorders (ICU-ASD).Methods:This retrospective cohort study analyzed clinical data of patients diagnosed with post-extubation dysphagia (PED) in the intensive care unit (ICU) and respiratory intensive care unit (RICU) of the Affiliated Hospital of Inner Mongolia Medical University from February 2020 to February 2025. Patients were categorized into a FEES group of 60 cases [34 males, 26 females, aged 37-80 years (median age 62 years)] and a control group without FEES of 58 cases [32 males, 26 females, aged 39-77 years (median age 61 years)].The patients in two groups received swallowing function and feeding training based on the results of the FEES assessment and the Volume-Viscosity Swallow Test-Clinical Version (VVST-CV), respectively. Clinical functional outcome measures included pneumonia incidence, clinical pulmonary infection score (CPIS), pneumonia severity index (PSI), Functional Oral Intake Scale (FOIS), and dietary method at discharge. χ2 test, Mann-Whitney U test, and Wilcoxon signed-rank test, were employed for statistical analysis of the outcome measures. Results:Compared with the control group, the FEES group had significantly lower aspiration pneumonia incidence at discharge [3.3% (2/60) vs 15.5% (9/58), χ2=5.179, P=0.023]. Regarding dietary methods,a significantly higher proportion of patients in the FEES group achieved complete oral feeding compared with the control group [75.0% (45/60) vs 67.3% (39/58), χ2=8.065, P<0.05]. After training, the FEES group had higher median FOIS scores than the control group (7.00 vs 6.00, Z=-2.370, P=0.018), and lower CPIS scores (2.50 vs 5.00, Z=-2.216, P=0.027) and PSI scores (59.00 vs 73.00, Z=-2.251, P=0.024). Within-group comparisons revealed that FOIS scores significantly improved post-training in both groups (both P<0.001). Conclusion:Early FEES examination for ICU patients with acquired swallowing disorders is associated with a lower incidence of pneumonia, improved swallowing function, and superior clinical functional outcomes.
3.A study on the congenital hypodysfibrinogenemia family and its pathogenic mechanism
Jiawei ZHENG ; Xiaomei LU ; Lixia HAO ; Linna LU ; Jia YANG ; Lidong ZHAO ; Dongyan FU ; Duanyang WANG ; Gang WANG ; Linhua YANG
Chinese Journal of Hematology 2025;46(6):571-574
The proband was a 32-year-old female patient who sought medical attention for over 9 months of pregnancy, reduced fetal movement, and discomfort in the lower abdomen. The proband and her father had normal activated partial thromboplastin time and prothrombin time, decreased fibrinogen activity and antigen levels, and prolonged thrombin time, whereas the test results of her mother were normal. Ultrasonography showed intermuscular vein thrombosis in the left calf of the proband. Peripheral blood DNA was extracted from the proband and her parents, and Sanger sequencing was performed to detect the base sequences of the FGA, FGB, and FGG genes. The proband and her father had heterozygous missense mutations in exon 6 c.615A > C (p. Leu205Phe) and exon 8 c.1121A > C (p. Tyr374Ser) of the FGG gene. Bioinformatics analysis suggested that the two gene mutations may be the pathogenic mechanism of this congenital hypodysfibrinogenemia family.
4.A study of factors associated with neonatal necrotizing enterocolitis
Qiyue YANG ; Xinhua ZHANG ; Xiaoyun JIA ; Hao ZHOU ; Yanan KANG ; Xingyu WANG ; Lixia BAI
Chinese Journal of Epidemiology 2025;46(3):492-498
Objective:To explore the related risk factors of neonatal necrotizing enterocolitis (NEC) by constructing and comparing nine regression models.Methods:All NEC patients admitted to the neonatal internal medicine department, neonatal surgery department, and neonatal intensive care unit of Shanxi Provincial Children's Hospital (Shanxi Provincial Maternity and Child Health Center) from 2020 to 2022 were included as the case group. A control group consisted of children admitted during the same period based on the inclusion and exclusion criteria. The NEC data collected were used for feature selection by using the Boruta algorithm. Logistic regression, multi-decision tree gradient boosting, efficient gradient one-sided sampling, random forest, decision tree, gradient boosting decision tree (GBDT), neural network, support vector machine, and K-nearest neighbor models were constructed. The optimal model was selected through rigorous comparison and Shap explainable analysis was performed on the GBDT model.Results:Thirteen key factors were identified through screening for nine regression models construction. After strict comparison and analysis, the GBDT model showed higher stability compared with other eight regression models. In the validation set, the area under the receiver operating characteristic curve of the GBDT model was 0.958, with an accuracy of 0.925, and sensitivity and specificity of 0.827 and 0.950, respectively. Shap explainable analysis on the GBDT model revealed that suffering from anemia, non-invasive ventilator use, procalcitonin use, premature birth, and low birth weight increased the risk for NEC, while breastfeeding and probiotics decreased the risk for NEC.Conclusion:This study identified the risk factors and protective factors for NEC by using the GBDT model, which provided evidnce for the prevention and treatment of NEC.
5.Development and application on a full process disease diagnosis and treatment assistance system based on generative artificial intelligence.
Wanjie YANG ; Hao FU ; Xiangfei MENG ; Changsong LI ; Ce YU ; Xinting ZHAO ; Weifeng LI ; Wei ZHAO ; Qi WU ; Zheng CHEN ; Chao CUI ; Song GAO ; Zhen WAN ; Jing HAN ; Weikang ZHAO ; Dong HAN ; Zhongzhuo JIANG ; Weirong XING ; Mou YANG ; Xuan MIAO ; Haibai SUN ; Zhiheng XING ; Junquan ZHANG ; Lixia SHI ; Li ZHANG
Chinese Critical Care Medicine 2025;37(5):477-483
The rapid development of artificial intelligence (AI), especially generative AI (GenAI), has already brought, and will continue to bring, revolutionary changes to our daily production and life, as well as create new opportunities and challenges for diagnostic and therapeutic practices in the medical field. Haihe Hospital of Tianjin University collaborates with the National Supercomputer Center in Tianjin, Tianjin University, and other institutions to carry out research in areas such as smart healthcare, smart services, and smart management. We have conducted research and development of a full-process disease diagnosis and treatment assistance system based on GenAI in the field of smart healthcare. The development of this project is of great significance. The first goal is to upgrade and transform the hospital's information center, organically integrate it with existing information systems, and provide the necessary computing power storage support for intelligent services within the hospital. We have implemented the localized deployment of three models: Tianhe "Tianyuan", WiNGPT, and DeepSeek. The second is to create a digital avatar of the chief physician/chief physician's voice and image by integrating multimodal intelligent interaction technology. With generative intelligence as the core, this solution provides patients with a visual medical interaction solution. The third is to achieve deep adaptation between generative intelligence and the entire process of patient medical treatment. In this project, we have developed assistant tools such as intelligent inquiry, intelligent diagnosis and recognition, intelligent treatment plan generation, and intelligent assisted medical record generation to improve the safety, quality, and efficiency of the diagnosis and treatment process. This study introduces the content of a full-process disease diagnosis and treatment assistance system, aiming to provide references and insights for the digital transformation of the healthcare industry.
Artificial Intelligence
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Humans
;
Delivery of Health Care
;
Generative Artificial Intelligence
6.An exploratory study on the quality analysis and thin layer identification of Baohe Pills in 33 batches
Na WANG ; Lixia HAO ; Qianqian CHEN ; Liqin WU ; Yana ZHAO
Drug Standards of China 2025;26(4):439-443
objective:Thirty-three batches of Baohe Pill were subjected to quality analysis and exploratory study based on the test results.Methods:According to the methods in Chinese Pharmacopoeia,2020 Edition,Part Ⅰ and Ⅳ,the full-item chemical tests were conducted on Baohe Pill,and the exploratory study on the identification(2)method of Baohe Pill was conducted based on the method of Forsythia identification(2)in Chinese Pharmaco-poeia,2020 Edition,Part Ⅰ.Results:All the tested items in the 33 batches of samples were qualified,and the exploratory study on Baohe Pill based on the Forsythia herb also yielded satisfactory results.Conclusion:The qual-ity of Baohe Pill produced by various manufacturers can meet the requirements of Chinese Pharmacopoeia,ensuring the safe and effective use of drugs by the people.Through more extensive and thorough investigation,it is proposed to explore whether the identification(2)method of Baohe Pill in Chinese Pharmacopoeia needs to be optimized.
7.Relationship between patterns of sleep duration and activities of daily living among middle-aged and older adults
Lixia LIN ; Qiuchan ZENG ; Yunyuan GUO ; Rongxiang LIANG ; Hao WU ; Yuping SHAO
Chinese Journal of Rehabilitation Theory and Practice 2025;31(3):331-338
Objective To evaluate the patterns of sleep duration by integrating nocturnal and daytime sleep,and to explore their asso-ciations with activities of daily living(ADL)in middle-aged and older adults.Methods The data of sleep and ADL were obtained from 11 085 subjects aged 45 and older,which were collected from the China Health and Retirement Longitudinal Study(CHARLS).At enrollment in 2011,data on nocturnal and daytime sleep duration were collected through questionnaires.Firstly,subjects were divided into three groups based on the 33rd and 66th percentiles of nocturnal sleep duration,assigned scores of 1,2 and 3,respectively.Subsequently,subjects were divided into three groups based on the 33rd and 66th percentiles of daytime sleep du-ration,assigned scores of 3,2 and 1,respectively.Finally,the scores for nocturnal and daytime sleep were summed to create a total sleep score ranging from 2 to 6.A total sleep score of 6 was defined as sleep duration pattern 1,indicating a longer nocturnal sleep duration with no or shorter daytime sleep duration.Similarly,total sleep scores of 5,4,3 and 2 were defined as sleep duration patterns 2,3,4 and 5,respectively,with sleep duration pattern 5 indicating a shorter nocturnal sleep duration and a longer daytime sleep duration.The status of ADL was assessed using the Activities of Daily Living Scale(Katz edition)at baseline and during follow-up in 2013,2015 and 2018.The association between sleep duration patterns and the risk of ADL disability was evaluated us-ing a Cox proportional hazards model.Results A total of 63 015 person-years were followed,with 11 085 subjects,during which 3 239 individuals experienced ADL disability.The 33rd and 66th percentiles of the nocturnal sleep duration in the study population were 6.00 hours and 7.00 hours,respectively;while the 33rd and 66th percentiles of the daytime sleep duration were 0.00 hours and 1.00 hours,respectively.Of those,1 522 were classified into sleep duration pattern 1,2 196 into sleep duration pattern 2,4 299 into sleep duration pattern 3,2 304 into sleep duration pattern 4,and 764 into sleep dura-tion pattern 5.Compared to sleep duration pattern 1,the risk of ADL disability of patterns 3,4 and 5 were higher(P<0.05),with P-value for the trend less than 0.001,after adjusting for age,sex,body mass index,marital sta-tus,educational level,residence,smoking,drinking,history of chronic diseases,depression status and season.No interaction effect between gender,age and season,and sleep duration patterns was observed(P>0.05).Com-pared to subjects with nocturnal sleep duration≥9 hours and daytime sleep duration<2 hours,those with noctur-nal sleep duration<7 hours and daytime sleep duration≥2 hours had a higher risk of ADL disability(P<0.05).Conclusion Older adults who sleep less at night but take longer naps during the day are at a higher risk of experiencing limitations in their ADL.Sleep patterns may influence ADL among middle-aged and older populations,and man-aging their sleep duration patterns could help prevent the onset of ADL limitations.
8.Inhibitory effect of electroacupuncture on microglial activation via Notch1/Hes1 pathway in Parkinson's disease mice.
Jinxu JIANG ; Yang LIU ; Huijie FAN ; Tiansheng ZHANG ; Liran WANG ; Lei XU ; Lixia YANG ; Yunfei SONG ; Cungen MA ; Chongyao HAO ; Zhi CHAI
Chinese Acupuncture & Moxibustion 2025;45(9):1290-1298
OBJECTIVE:
To observe the effects of electroacupuncture (EA) on improving motor function and regulating microglial activation based on Notch receptor 1 (Notch1)/Hes family bHLH transcription factor 1 (Hes1) pathway in mice with Parkinson's disease (PD).
METHODS:
Thirty-six male C57BL/6 mice were randomly divided into a control group, a model group and an EA group, 12 mice in each group. PD model was established by intraperitoneal injection of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) for 7 consecutive days in the model group and the EA group. From the 1st day of modeling, EA was applied at "Baihui" (GV20) and bilateral "Shenshu" (BL23) in the EA group, with continuous wave, in frequency of 2 Hz and current of 2 mA, 15 min a time, once a day for 14 days continuously. The behavioral performance was evaluated by gait test, pole climbing test and hanging test, the number of positive cells of tyrosine hydroxylase (TH) and the co-expression positive cells of Notch1/ionized calcium binding adaptor molecule 1 (Iba-1) in the substantia nigra of midbrain was assessed by immunofluorescence, the protein expression of TH, α-synuclein (α-syn), Notch1, Hes1, Iba-1, inducible nitric oxide synthase (iNOS), Arginase-1 (ARG1), tumor necrosis factor-α (TNF-α), interleukin (IL)-1β, IL-6 and IL-10 was detected by Western blot, the mRNA expression of Notch1 and Hes1 was detected by real-time PCR.
RESULTS:
Compared with the control group, in the model group, the stride frequency was accelerated (P<0.001) and the stride length was shortened (P<0.001) for the four limbs, the pole climbing test time was prolonged (P<0.01) and the grip level was reduced (P<0.01); in the substantia nigra of midbrain, the number of positive cells of TH was decreased (P<0.001), the number of co-expression positive cells of Notch1/Iba-1 was increased (P<0.001), the protein expression of α-syn, Notch1, Hes1, Iba-1, iNOS, TNF-α, IL-1βand IL-6 was increased (P<0.01, P<0.05, P<0.001), the protein expression of TH, ARG1 and IL-10 was decreased (P<0.01, P<0.001), the mRNA expression of Notch1 and Hes1 was increased (P<0.01). Compared with the model group, in the EA group, the stride frequency was decelerated (P<0.001) and the stride length was increased (P<0.05, P<0.01, P<0.001) for the four limbs, the pole climbing test time was shortened (P<0.05) and the grip level was increased (P<0.05); in the substantia nigra of midbrain, the number of positive cells of TH was increased (P<0.01), the number of co-expression positive cells of Notch1/Iba-1 was decreased (P<0.001), the protein expression of α-syn, Notch1, Hes1, Iba-1, iNOS, TNF-α, IL-6 and IL-1β was decreased (P<0.05, P<0.01), the protein expression of TH, ARG1 and IL-10 was increased (P<0.05, P<0.001, P<0.01), the mRNA expression of Notch1 and Hes1 was decreased (P<0.05).
CONCLUSION
EA can improve the behavioral performance and protect the dopaminergic neurons in PD mice, its mechanism may relate to the inhibition of Notch1/Hes1-mediated neuroinflammation, thus inhibiting the microglial activation.
Animals
;
Electroacupuncture
;
Microglia/metabolism*
;
Male
;
Receptor, Notch1/metabolism*
;
Parkinson Disease/physiopathology*
;
Transcription Factor HES-1/metabolism*
;
Mice
;
Mice, Inbred C57BL
;
Humans
;
Signal Transduction
9.Relationship between patterns of sleep duration and activities of daily living among middle-aged and older adults
Lixia LIN ; Qiuchan ZENG ; Yunyuan GUO ; Rongxiang LIANG ; Hao WU ; Yuping SHAO
Chinese Journal of Rehabilitation Theory and Practice 2025;31(3):331-338
Objective To evaluate the patterns of sleep duration by integrating nocturnal and daytime sleep,and to explore their asso-ciations with activities of daily living(ADL)in middle-aged and older adults.Methods The data of sleep and ADL were obtained from 11 085 subjects aged 45 and older,which were collected from the China Health and Retirement Longitudinal Study(CHARLS).At enrollment in 2011,data on nocturnal and daytime sleep duration were collected through questionnaires.Firstly,subjects were divided into three groups based on the 33rd and 66th percentiles of nocturnal sleep duration,assigned scores of 1,2 and 3,respectively.Subsequently,subjects were divided into three groups based on the 33rd and 66th percentiles of daytime sleep du-ration,assigned scores of 3,2 and 1,respectively.Finally,the scores for nocturnal and daytime sleep were summed to create a total sleep score ranging from 2 to 6.A total sleep score of 6 was defined as sleep duration pattern 1,indicating a longer nocturnal sleep duration with no or shorter daytime sleep duration.Similarly,total sleep scores of 5,4,3 and 2 were defined as sleep duration patterns 2,3,4 and 5,respectively,with sleep duration pattern 5 indicating a shorter nocturnal sleep duration and a longer daytime sleep duration.The status of ADL was assessed using the Activities of Daily Living Scale(Katz edition)at baseline and during follow-up in 2013,2015 and 2018.The association between sleep duration patterns and the risk of ADL disability was evaluated us-ing a Cox proportional hazards model.Results A total of 63 015 person-years were followed,with 11 085 subjects,during which 3 239 individuals experienced ADL disability.The 33rd and 66th percentiles of the nocturnal sleep duration in the study population were 6.00 hours and 7.00 hours,respectively;while the 33rd and 66th percentiles of the daytime sleep duration were 0.00 hours and 1.00 hours,respectively.Of those,1 522 were classified into sleep duration pattern 1,2 196 into sleep duration pattern 2,4 299 into sleep duration pattern 3,2 304 into sleep duration pattern 4,and 764 into sleep dura-tion pattern 5.Compared to sleep duration pattern 1,the risk of ADL disability of patterns 3,4 and 5 were higher(P<0.05),with P-value for the trend less than 0.001,after adjusting for age,sex,body mass index,marital sta-tus,educational level,residence,smoking,drinking,history of chronic diseases,depression status and season.No interaction effect between gender,age and season,and sleep duration patterns was observed(P>0.05).Com-pared to subjects with nocturnal sleep duration≥9 hours and daytime sleep duration<2 hours,those with noctur-nal sleep duration<7 hours and daytime sleep duration≥2 hours had a higher risk of ADL disability(P<0.05).Conclusion Older adults who sleep less at night but take longer naps during the day are at a higher risk of experiencing limitations in their ADL.Sleep patterns may influence ADL among middle-aged and older populations,and man-aging their sleep duration patterns could help prevent the onset of ADL limitations.
10.A study of factors associated with neonatal necrotizing enterocolitis
Qiyue YANG ; Xinhua ZHANG ; Xiaoyun JIA ; Hao ZHOU ; Yanan KANG ; Xingyu WANG ; Lixia BAI
Chinese Journal of Epidemiology 2025;46(3):492-498
Objective:To explore the related risk factors of neonatal necrotizing enterocolitis (NEC) by constructing and comparing nine regression models.Methods:All NEC patients admitted to the neonatal internal medicine department, neonatal surgery department, and neonatal intensive care unit of Shanxi Provincial Children's Hospital (Shanxi Provincial Maternity and Child Health Center) from 2020 to 2022 were included as the case group. A control group consisted of children admitted during the same period based on the inclusion and exclusion criteria. The NEC data collected were used for feature selection by using the Boruta algorithm. Logistic regression, multi-decision tree gradient boosting, efficient gradient one-sided sampling, random forest, decision tree, gradient boosting decision tree (GBDT), neural network, support vector machine, and K-nearest neighbor models were constructed. The optimal model was selected through rigorous comparison and Shap explainable analysis was performed on the GBDT model.Results:Thirteen key factors were identified through screening for nine regression models construction. After strict comparison and analysis, the GBDT model showed higher stability compared with other eight regression models. In the validation set, the area under the receiver operating characteristic curve of the GBDT model was 0.958, with an accuracy of 0.925, and sensitivity and specificity of 0.827 and 0.950, respectively. Shap explainable analysis on the GBDT model revealed that suffering from anemia, non-invasive ventilator use, procalcitonin use, premature birth, and low birth weight increased the risk for NEC, while breastfeeding and probiotics decreased the risk for NEC.Conclusion:This study identified the risk factors and protective factors for NEC by using the GBDT model, which provided evidnce for the prevention and treatment of NEC.

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