1.Study on the risk factors and predictive model for acute kidney injury during tacrolimus treatment for pediatric steroid-resistant nephrotic syndrome
Yuqing LIU ; Lei ZHU ; Zhaohuan HAN ; Lei ZHAO
China Pharmacy 2026;37(1):66-71
OBJECTIVE To explore the risk factors for acute kidney injury (AKI) in children with steroid-resistant nephrotic syndrome (SRNS) during tacrolimus treatment and construct a predictive model. METHODS A retrospective selection was made of 155 children diagnosed with SRNS and treated with tacrolimus at Xuzhou Children’s Hospital from January 1, 2022, to December 31, 2023, serving as the study subjects. Various clinical data of the children were collected by reviewing the medical record system. Children who developed AKI during medication were assigned to the AKI group (n=26), and those who did not develop AKI were assigned to the control group (n=129). Univariate and multivariate Logistic regression analyses were used to screen independent risk factors. A clinical predictive model was constructed based on significant variables, and nomogram, calibration curve, receiver operator characteristic curve, and decision curve were drawn to evaluate the model’s performance. RESULTS Univariate analysis showed that blood urea nitrogen (BUN), serum creatinine (Scr), estimated glomerular filtration rate (eGFR), the maximum trough concentration (cmin) of tacrolimus, CYP3A5*3/*3 genotype, concurrent infection, concurrent hypertension, and the use of non-steroidal anti-inflammatory drugs were influencing factors for AKI in children with SRNS during tacrolimus treatment (P<0.05). Multivariate Logistic regression analysis revealed that BUN≥9.58 mmol/L, Scr≥125 μmol/L, eGFR<37 mL/(min·1.73 m2), tacrolimus maximum cmin≥11.26 ng/mL,CYP3A5*3/*3 genotype, concurrent infection, and concurrent hypertension were independent risk factors for AKI in children with SRNS during tacrolimus treatment (P<0.05). The constructed clinical predictive model had an area under the curve of 0.747, showing good agreement between predicted and actual AKI occurrence and demonstrating favorable clinical net benefit in predicting AKI in children. CONCLUSIONS Impaired baseline renal function (elevated BUN, elevated Scr, and decreased eGFR), elevated maximum cmin of tacrolimus, CYP3A5*3/*3 genotype, concurrent infection, and hypertension during treatment are independent risk factors for AKI in children with SRNS during tacrolimus treatment. The established clinical predictive model provides a scientific basis for implementing risk stratification management.
2.Treatment Principles and Paradigm of Diabetic Microvascular Complications Responding Specifically to Traditional Chinese Medicine
Anzhu WANG ; Xing HANG ; Lili ZHANG ; Xiaorong ZHU ; Dantao PENG ; Ying FAN ; Min ZHANG ; Wenliang LYU ; Guoliang ZHANG ; Xiai WU ; Jia MI ; Jiaxing TIAN ; Wei ZHANG ; Han WANG ; Yuan XU ; .LI PINGPING ; Zhenyu WANG ; Ying ZHANG ; Dongmei SUN ; Yi HE ; Mei MO ; Xiaoxiao ZHANG ; Linhua ZHAO
Chinese Journal of Experimental Traditional Medical Formulae 2026;32(5):272-279
To explore the advantages of traditional Chinese medicine (TCM) and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications (DMC), refine key pathophysiological insights and treatment principles, and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine, hosted by the China Association of Chinese Medicine, was held in Beijing, 2024. Experts in TCM, Western medicine, and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis, diagnostic and treatment challenges, and mechanism research related to DMC, ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development, research prioritization, and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM, strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.
3.Association of physical activity and balance ability with disability: a cross-sectional study based on NHANES
Xuejiao HAN ; Jipeng SHI ; Jinpeng WEI ; Tianrui ZHU ; Hongqi XU ; Muhan HE
Chinese Journal of Rehabilitation Theory and Practice 2026;32(1):1-12
ObjectiveTo investigate the association of physical activity and balance ability with disability, and to further examine the mediating role of balance ability in the relationship between physical activity and disability. MethodsBased on data from 2021 to 2023 National Health and Nutrition Examination Survey (NHANES) cycle, a multivariable Logistic regression model was constructed to evaluate the independent association of physical activity and balance ability with disability, with covariates adjusted in four steps. An interaction model was further developed to assess the multiplicative interaction between physical activity and balance ability. Mediation analysis was performed using the Baron and Kenny three-step approach to examine the mediating role of balance ability, and the proportion of the mediation effect was calculated. The significance of the mediation effect was assessed using the Delta method, and robustness was verified through the Bootstrap method with a fixed random seed. Multiple sensitivity analyses were conducted to ensure the stability of the results. ResultsA total of 3 902 participants were included, with a prevalence of disability of 17.7%. Multivariable regression analysis showed that, after adjusting for all covariates, both light-intensity physical activity (LIPA) (OR = 0.489, 95%CI 0.380 to 0.629, P < 0.001) and high-intensity physical activity (HIPA) (OR = 0.493, 95%CI 0.371 to 0.656, P < 0.001) were significantly associated with a reduced risk of disability, whereas impaired balance ability was significantly associated with an increased risk (OR = 1.579, 95%CI 1.266 to 1.970, P < 0.001). The interaction effect analysis showed that the interaction between physical activity and balance ability were not significant (P > 0.05), however, the main effect of LIPA remained robust (β = -0.597, SE = 0.221, OR = 0.550, P = 0.007), while impaired balance ability was significantly associated with an increased risk of disability (β = 0.577, SE = 0.231, OR = 1.780, P = 0.012). The mediation analysis further indicated that balance ability played a robust mediating role in the association between LIPA and disability, with a mediation proportion of 21.1%. The indirect effect (a × b) was statistically significant (P < 0.001), and the 95% confidence intervals derived from the bootstrap method did not include zero. ConclusionPhysical activity and balance ability are significantly associated with disability, and balance ability may mediate the relationship between physical activity and disability, highlighting its potential value in disability risk assessment and intervention strategies.
4.Expert consensus on neoadjuvant PD-1 inhibitors for locally advanced oral squamous cell carcinoma (2026)
LI Jinsong ; LIAO Guiqing ; LI Longjiang ; ZHANG Chenping ; SHANG Chenping ; ZHANG Jie ; ZHONG Laiping ; LIU Bing ; CHEN Gang ; WEI Jianhua ; JI Tong ; LI Chunjie ; LIN Lisong ; REN Guoxin ; LI Yi ; SHANG Wei ; HAN Bing ; JIANG Canhua ; ZHANG Sheng ; SONG Ming ; LIU Xuekui ; WANG Anxun ; LIU Shuguang ; CHEN Zhanhong ; WANG Youyuan ; LIN Zhaoyu ; LI Haigang ; DUAN Xiaohui ; YE Ling ; ZHENG Jun ; WANG Jun ; LV Xiaozhi ; ZHU Lijun ; CAO Haotian
Journal of Prevention and Treatment for Stomatological Diseases 2026;34(2):105-118
Oral squamous cell carcinoma (OSCC) is a common head and neck malignancy. Approximately 50% to 60% of patients with OSCC are diagnosed at a locally advanced stage (clinical staging III-IVa). Even with comprehensive and sequential treatment primarily based on surgery, the 5-year overall survival rate remains below 50%, and patients often suffer from postoperative functional impairments such as difficulties with speaking and swallowing. Programmed death receptor-1 (PD-1) inhibitors are increasingly used in the neoadjuvant treatment of locally advanced OSCC and have shown encouraging efficacy. However, clinical practice still faces key challenges, including the definition of indications, optimization of combination regimens, and standards for efficacy evaluation. Based on the latest research advances worldwide and the clinical experience of the expert group, this expert consensus systematically evaluates the application of PD-1 inhibitors in the neoadjuvant treatment of locally advanced OSCC, covering combination strategies, treatment cycles and surgical timing, efficacy assessment, use of biomarkers, management of special populations and immune related adverse events, principles for immunotherapy rechallenge, and function preservation strategies. After multiple rounds of panel discussion and through anonymous voting using the Delphi method, the following consensus statements have been formulated: 1) Neoadjuvant therapy with PD-1 inhibitors can be used preoperatively in patients with locally advanced OSCC. The preferred regimen is a PD-1 inhibitor combined with platinum based chemotherapy, administered for 2-3 cycles. 2) During the efficacy evaluation of neoadjuvant therapy, radiographic assessment should follow the dual criteria of Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 and immune RECIST (iRECIST). After surgery, systematic pathological evaluation of both the primary lesion and regional lymph nodes is required. For combination chemotherapy regimens, PD-L1 expression and combined positive score need not be used as mandatory inclusion or exclusion criteria. 3) For special populations such as the elderly (≥ 70 years), individuals with stable HIV viral load, and carriers of chronic HBV/HCV, PD-1 inhibitors may be used cautiously under the guidance of a multidisciplinary team (MDT), with close monitoring for adverse events. 4) For patients with a poor response to neoadjuvant therapy, continuation of the original treatment regimen is not recommended; the subsequent treatment plan should be adjusted promptly after MDT assessment. Organ transplant recipients and patients with active autoimmune diseases are not recommended to receive neoadjuvant PD-1 inhibitor therapy due to the high risk of immune related activation. Rechallenge is generally not advised for patients who have experienced high risk immune related adverse events such as immune mediated myocarditis, neurotoxicity, or pneumonitis. 5) For patients with a good pathological response, individualized de escalation surgery and function preservation strategies can be explored. This consensus aims to promote the standardized, safe, and precise application of neoadjuvant PD-1 inhibitor strategies in the management of locally advanced OSCC patients.
5.Analysis of HPV Infection Characteristics and Influencing Factors for Lesion Grade in Patients with Cervical Squamous Intraepithelial Lesion and Cervical Cancer
Jingjing HAN ; Lijie ZHANG ; Ruyu CAI ; Haili LI ; He WANG ; Le DANG ; Hongda CHEN ; Ming'e LI ; Lan ZHU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):156-165
To summarize the distribution characteristics of human papillomavirus(HPV) infection types in patients with cervical squamous intraepithelial lesion(SIL) and cervical cancer(CC), and to explore the impact of HPV vaccination, HPV infection types, and general clinical data on different grades of cervical lesions. Clinical data of women attending the gynecological colposcopy clinic of Shenzhen People's Hospital from January 2020 to December 2023 were retrospectively collected. Patients with HPV genotyping records and histopathologically diagnosed SIL or CC were included and divided into three groups based on pathological results: low-grade squamous intraepithelial lesion(LSIL) group, high-grade squamous intraepithelial lesion(HSIL) group, and CC group. The distribution of high-risk HPV subtypes was analyzed among the three groups, and multivariate Logistic regression was used to identify influencing factors for high-grade cervical lesions. A total of 4162 patients were included, comprising 4057 cervical SIL patients(3317 LSIL and 740 HSIL) and 105 CC patients. The overall mean age was(39.9±11.2) years. The HPV infection rate was 95.1%(3959/4162), and 25.0%(1040/4162) of patients had received HPV vaccination. Among high-risk HPV infections, HPV 52, HPV 16, HPV 58, and HPV 18 were the most common subtypes. HPV 52 had the highest infection rate in the LSIL group(27.6%), while HPV 16 was the most prevalent in the HSIL group(45.3%) and CC group(64.9%). Multivariate Logistic regression analysis showed that HPV vaccination( HPV infection is common in patients with SIL and CC, but the distribution of high-risk HPV subtypes varies among different grades of cervical lesions. It is recommended to strengthen cervical cancer screening and monitoring of key high-risk HPV infections in older and multiparous women in Shenzhen, and to continue promoting HPV vaccination.
6.Explainable Machine Learning Model for Predicting Prognosis in Patients with Malignant Tumors Complicated by Acute Respiratory Failure: Based on the eICU Collaborative Research Database in the United States
Zihan NAN ; Linan HAN ; Suwei LI ; Ziyi ZHU ; Qinqin ZHU ; Yan DUAN ; Xiaoting WANG ; Lixia LIU
Medical Journal of Peking Union Medical College Hospital 2026;17(1):98-108
To develop and validate a model for predicting intensive care unit (ICU) mortality risk in patients with malignant tumors complicated by acute respiratory failure (ARF) based on an explainable machine learning framework. Clinical data of patients with malignant tumors and ARF were extracted from the eICU Collaborative Research Database in the United States, including demographic characteristics, comorbidities, vital signs, laboratory test indicators, and major interventions within the first 24 hours after ICU admission.The study outcome was ICU death.Enrolled patients were randomly divided into a training set and a validation set at a ratio of 7:3.Predictor variables were selected using least absolute shrinkage and selection operator (LASSO) regression.Five machine learning algorithms-extreme gradient boosting (XGBoost), support vector machine (SVM), Logistic regression, multilayer perceptron (MLP), and C5.0 Decision Tree-were employed to construct predictive models.Model performance was evaluated based on the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and other metrics.The optimal model was further interpreted using the Shapley additive explanations (SHAP) algorithm. A total of 3196 patients with malignant tumors complicated by ARF were included.The training set comprised 2, 261 patients and the validation set 935 patients; 683 patients died during ICU stay, while 2513 survived.LASSO regression ultimately selected 12 variables closely associated with patient ICU outcomes, including sepsis comorbidity, use of vasoactive drugs, and within the first 24 hours after ICU admission: minimum mean arterial pressure, maximum heart rate, maximum respiratory rate, minimum oxygen saturation, minimum serum bicarbonate, minimum blood urea nitrogen, maximum white blood cell count, maximum mean corpuscular volume, maximum serum potassium, and maximum blood glucose.After model evaluation, the XGBoost model demonstrated the best performance.The AUCs for predicting ICU mortality risk in the training and validation sets were 0.940 and 0.763, respectively; accuracy was 88.3% and 81.2%;sensitivity was 98.5% and 95.9%.Its predictive performance also remained optimal in sensitivity analyses.SHAP analysis indicated that the top five variables contributing to the model's predictions were minimum oxygen saturation, minimum serum bicarbonate, minimum mean arterial pressure, use of vasoactive drugs, and maximum white blood cell count. This study successfully developed a mortality risk prediction model for ICU patients with malignant tumors complicated by ARF based on a large-scale dataset and performed explainability analysis.The model aids clinicians in early identification of high-risk patients and implementing individualized interventions.
7.Ameliorative effect and mechanism of Forsythia suspensa-Lonicera japonica herb pair on acute lung injury via regulating serum exosomal miRNA
Zhaohua CHEN ; Shumin XIE ; Wanshun CHANG ; Yuqing HAN ; Yanwen CHEN ; Yanhui ZHU ; Mingzhuo CAO ; Haiying HUANG
China Pharmacy 2026;37(3):305-310
OBJECTIVE To study the ameliorative effect and mechanism of Forsythia suspensa-Lonicera japonica herb pair on acute lung injury (ALI) based on serum exosomal microRNA (miRNA). METHODS The rats were randomly divided into a blank group (normal saline), model group (nomal saline), and F. suspensa-L. japonica herb pair group (2.55 g/kg), with 10 rats in each group. Except for the blank group, the other groups were used to establish an ALI model by intratracheal dripping of 5 mg/ mL lipopolysaccharides. After modeling, each group was given relevant medicine/normal saline intragastrically, once a day, for 3 consecutive days. After the last medication, the pathological status of lung tissue was observed; lung wet-to-dry weight ratio and leukocyte counts in bronchoalveolar lavage fluid (BALF) were determined. The levels of inflammatory factors [tumor necrosis factor-α(TNF-α), interleukin-1β (IL-1β), IL-10] in BALF were determined. Exosomes were isolated from rat serum, and high- throughput sequencing technology was employed to screen differentially expressed miRNA within the exosomes, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Based on the screened differentially expressed miRNA and the enriched KEGG pathways, in vitro cellular experiments were conducted for validation. RESULTS The animal experimental results demonstrated that after intervention with the F. suspensa-L. japonica herb pair, the wet-to-dry weight ratio, the number of leukocytes in BALF, as well as the levels of TNF-α and IL-1β in BALF of ALI rats were all significantly reduced (P<0.01), while the level of IL-10 was significantly increased (P<0.01). The results of high-throughput sequencing experiments revealed that the F. suspensa-L. japonica herb pair could significantly up-regulate the expressions of miR-345-3p, miR-194-5p, miR-653-5p, and others in exosomes. Among them, the KEGG pathways involved in the target genes of differentially expressed miRNA included the hypoxia-inducible factor-1(HIF-1) signaling pathway, among others. The results of cellular E-mail:huang.haiying@126.com validation experiments showed that overexpressed miR-345-3p could significantly elevate the level of IL-10 in the cell supernatant (P<0.01), while significantly reducing the levels of TNF-α and IL-1β in the cell supernatant, as well as the mRNA and protein expression levels of protein kinase B1, phosphatidylinositol 3- kinase, and HIF-1α (P<0.01). CONCLUSIONS F. suspensa-L. japonica herb pair can alleviate inflammatory responses and thereby exert a therapeutic effect in improving ALI by up-regulating the expression of miR-345-3p in serum exosomes and inhibiting the activity of the HIF-1 signaling pathway.
8.Predictive study of serum 25-hydroxyvitamin D and blood lipid metabolism indexes in occurrence of osteoporosis in type 2 diabetes mellitus
Jiajia SONG ; Xiaofang HAN ; Ting HU ; Xiaohuan ZHU
Journal of Public Health and Preventive Medicine 2026;37(1):154-157
Objective To explore the predictive effect of serum 25-hydroxyvitamin D3 [25(OH)D3] and blood lipid metabolism indexes on the occurrence of osteoporosis in type 2 diabetes mellitus (T2DM). Methods Totally 98 patients with T2DM in the hospital from January 2022 to January 2024 were classified into osteoporosis group (38 cases) and non-osteoporosis group (60 cases) by means of concurrent osteoporosis status. The levels of serum 25(OH)D3 and blood lipid metabolism indexes [high density lipoprotein (HDL), total cholesterol (TC), triglyceride (TG), low density lipoprotein (LDL), VLDL] were measured in study subjects. The association of serum 25(OH)D3 and blood lipid metabolism indexes with osteoporosis was explored by Logistic regression analysis. The predictive value of serum 25(OH)D3 and blood lipid metabolism indexes on osteoporosis was analyzed by receiver operating characteristic curve (ROC). Results Serum 25(OH)D3 and HDL levels in the osteoporosis group were lower while TG and LDL levels were higher than those in the non-osteoporosis group (P<0.05). The differences in the levels of TC and VLDL were insignificant between groups (P>0.05). After logistic regression analysis, the levels of serum 25(OH)D3, HDL, TG and LDL were closely related to the occurrence of osteoporosis (P<0.05). ROC curve indicated that the area under the curve (AUC), sensitivity and specificity of combined prediction of osteoporosis by serum 25(OH)D3, HDL, TG, and LDL were 0.943, 92.11% and 85.00%, and the efficiency of combined prediction was better than that of each index alone (P<0.05). Conclusion The levels of serum 25(OH)D3, HDL, TG and LDL in T2DM are closely related to osteoporosis. Early combined monitoring of the indicators can provide reference value for clinical prediction of osteoporosis occurrence in patients with T2DM.
9.Mechanism of 1,25(OH)2D3 improving liver inflammation in a rat model of nonalcoholic steatohepatitis induced by choline-deficient L-amino acid-defined diet
Haiyang ZHU ; Jingshu CUI ; Liu YANG ; Mengting ZHOU ; Jian TONG ; Hongmei HAN
Journal of Clinical Hepatology 2025;41(2):254-262
ObjectiveTo investigate the effect of 1,25(OH)2D3 on the level of peroxisome proliferator-activated receptor-γ (PPAR-γ) in the liver, the phenotype of hepatic macrophages, and liver inflammation in a rat model of nonalcoholic steatohepatitis (NASH), as well as the mechanism of 1,25(OH)2D3 improving liver inflammation. MethodsAfter 1 week of adaptive feeding, 24 specific pathogen-free Wistar rats were randomly divided into normal group [choline-supplemented L-amino acid-defined (CSAA) diet], normal+1,25(OH)2D3 group [CSAA diet+1,25(OH)2D3], model group [choline-deficient L-amino acid-defined diet (CDAA) diet], and model+1,25(OH)2D3 group [CDAA diet+1,25(OH)2D3], with 6 rats in each group. The dose of 1,25(OH)2D3 was 5 μg/kg for intraperitoneal injection twice a week for 12 weeks. The serum levels of aspartate aminotransferase (AST) and alanine aminotransferase (ALT) were measured, liver histopathology was observed, and SAF score was assessed. M1 hepatic macrophages and M2 hepatic macrophages were measured to analyze in the change in the phenotype of hepatic macrophages, and ELISA was used to measure the levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), interleukin-4 (IL-4), and interleukin-10 (IL-10) in liver tissue, and qPCR was used to measure the mRNA level of PPAR-γ. The two-factor analysis of variance was use for comparison between groups, and the least significant difference t-test was used for further comparison; the Pearson method was used for correlation analysis. ResultsCompared with the normal group, the model rats with CDAA diet-induced NASH had significant increases in the serum levels of AST and ALT (P=0.019 and P<0.001), the SAF score of liver histopathology (P<0.001), the level of M1 hepatic macrophages (P<0.001), and the ratio of M1 and M2 hepatic macrophages (P<0.001), as well as a significant increase in the level of TNF-α (P<0.001) and a significant reduction in the level of IL-4 in liver tissue (P=0.025). The 1,25(OH)2D3 group had significant reductions in the serum levels of ALT (P<0.001), the SAF score of liver histopathology (P<0.001), the level of M1 hepatic macrophages (P<0.001), and the ratio of M1 and M2 hepatic macrophages (P=0.001), the level of IL-1β (P<0.001) and a significant increase in the level of M2 hepatic macrophages (P=0.017), the level of IL-10 (P=0.039), the level of IL-4 (P<0.001), the level of PPAR-γ (P=0.016). There were significant interactions between CDAA diet-induced NASH model and 1,25(OH)2D3 in serum the levels of AST and ALT (P=0.007 and P=0.008), the SAF scores of liver histopathology (P<0.001), the level of M1 hepatic macrophages (P<0.001), the level of M2 hepatic macrophages (P=0.008), the ratio of M1 and M2 of hepatic macrophages (P=0.005), the level of TNF-α (P<0.001), the level of IL-10 (P=0.038), the level of IL-4 (P<0.001) and the level of PPAR-γ (P=0.009). The correlation analysis showed that PPAR-γ was negatively correlated with the ratio of M1 and M2 hepatic macrophages (r=-0.415, P=0.044) and was positively correlated with M2 hepatic macrophages (r=0.435, P=0.033), IL-10 (r=0.433, P=0.035), and IL-4 (r=0.532, P=0.007). ConclusionThis study shows that 1,25(OH)2D3 improves liver inflammation in NASH by activating PPAR-γ to regulate the phenotypic transformation of hepatic macrophages.
10.Effect of laminin subunit α3 on epithelial-mesenchymal transition, invasion, and metastasis abilities of pancreatic cancer
Nenghong YANG ; Likun REN ; She TIAN ; Min HAN ; Zhu LI ; Yuxiang ZHAO ; Peng LIU
Journal of Clinical Hepatology 2025;41(2):322-332
ObjectiveTo investigate the effect of laminin subunit α3 (LAMA3) on the epithelial-mesenchymal transition (EMT), invasion, and metastasis abilities of pancreatic cancer (PC). MethodsA comprehensive analysis was performed for tumor- and EMT-related databases to identify the EMT genes associated with PC, especially LAMA3. The methods of qRT-PCR and Western blot were used to measure the expression level of LAMA3 in PC tissue and cell lines; immunofluorescence assay was used to determine the localization of LAMA3 in PANC-1 cells; Transwell assay was used to investigate the effect of LAMA3 on the invasion and migration abilities of PC cells. The t-test was used for comparison of continuous data between groups. ResultsThe analysis of the TCGA database identified 3 EMT-related oncogenes for PC, i.e., LAMA3, AREG, and SDC1. The LASSO-Cox regression model showed that LAMA3 had the most significant impact on the prognosis of PC (risk score=0.256 1×LAMA3+0.043 1×SDC1+0.071 4×AREG). The Cox model and nomogram showed that the high expression of LAMA3 was an independent risk factor for the poor prognosis of PC (hazard ratio=1.32, 95% confidence interval: 1.07 — 1.62, P<0.01). Experimental results showed that there was a significant increase in the expression of LAMA3 in pancreatic cancer tissue compared with the normal pancreatic tissue. Compared with the HPDE cell line, there were varying degrees of increase in the expression of LAMA3 in pancreatic cancer AsPC-1, BxPC-3, PANC-1, MIA PaCa-2, and SW1990 cell lines, with the highest expression level in PANC-1 cells. The enrichment analysis showed that LAMA3 was associated with the biological processes and signaling pathways such as EMT, collagen metabolism, extracellular matrix degradation, the TGF-β pathway, and the PI3K pathway. After the knockdown of LAMA3, there were significant reductions in the expression levels of N-Cadherin, Vimentin, and Snail, while there was a significant increase in the expression level of E-Cadherin. Transwell assay showed that there were significant reductions in the invasion and migration abilities of PANC-1 cells after the knockdown of LAMA3. ConclusionLAMA3 is highly expressed in PC and can promote the EMT, invasion, and migration of PC cells, and therefore, LAMA3 may be used as a novel diagnostic marker and a new therapeutic target for PC.


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