1.Evaluation of colistin sulfate administration regimen based on PK/PD theory and Monte Carlo simulation
Yingchao MA ; Xia WU ; Yongjing WANG ; Jianjun GU ; Xiuling YANG
China Pharmacy 2025;36(4):459-463
OBJECTIVE To evaluate the therapeutic efficacy of 5 regimens of colistin sulfate for common Gram-negative bacilli infection based on pharmacokinetics (PK)/pharmacodynamics (PD) theory and Monte Carlo simulation. METHODS Minimal inhibitory concentration (MIC) data of colistin sulfate against Acinetobacter baumannii, Pseudomonas aeruginosa, Klebsiella pneumoniae, Escherichia coli and Enterobacter cloacae in 2023 were collected from the China Antimicrobial Resistance Surveillance System. Monte Carlo simulation was conducted with the ratio of the area under the concentration-time curve from 0 to 24 hours in the unbound state to the MIC (fAUC0-24 h/MIC) ≥15 as the target value, the probabilities of target attainment (PTA) of 5 regimens of colistin sulfate to achieve the target ratio were obtained at different MIC; and the expected population PTA, specifically the cumulative fraction of response (CFR), for each regimen within a specific bacterial population was further calculated, to evaluate the therapeutic efficacy of the five colistin sulfate regimens. RESULTS When bacterial MIC≤0.5 µg/mL, PTA of all colistin sulfate regimens (500 000 IU, q12 h; 500 000 IU, q8 h; 750 000 IU, q12 h; 750 000 IU, q8 h; 1 000 000 IU, q12 h) were all more than 90%. When bacterial MIC=1 µg/mL, PTA for regimen (750 000 IU, q8 h) against A. baumannii, K. pneumoniae, P. aeruginosa, E. coli and E. cloacae, and for regimen (1 000 000 IU, q12 h) against the other four bacterial species (excluding P. aeruginosa) remained above 90%. When bacterial MIC≥2 µg/mL, PTA of 5 colistin sulfate regimens were all lower than 90%. For E. coli, the CFR of only colistin sulfate regimen (500 000 IU, q12 h) was less than 90%; for K. pneumoniae, the CFR of only colistin sulfate regimen (750 000 IU, q8 h and 1 000 000 IU, q12 h) was greater than 90%; for the other three bacteria, CFR of 5 regimens were all less than 90%. CONCLUSIONS When the MIC of Gram-negative bacteria is less than 0.5 µg/mL, colistin sulfate regimen with a routine dose can be selected for treatment. When MIC was 1 µg/mL, an increase in the dosing amount or frequency is required. The empirical treatment of the other four bacterial infections excluding E. coli requires the use of off-label doses.
2.Expression of KCNN4 in pancreatic cancer tissues, its correlation with prognosis, and impact on pancreatic cancer cell proliferation
YANG Xuan ; CHEN Xinyuan ; RUAN Xiaoyu ; WU Qingru ; GU Yan
Chinese Journal of Cancer Biotherapy 2025;32(4):371-377
[摘 要] 目的:探究钾钙激活通道亚家族N成员4(KCNN4)在胰腺癌组织中的表达及其对胰腺癌进展的影响,解析KCNN4在胰腺癌临床诊断及预后判断中的作用。方法:利用GEPIA2数据分析平台,结合TCGA和GTEx数据库的数据分析KCNN4在胰腺癌组织中的表达水平及其与患者预后的关系。收集24例海军军医大学长海医院手术切除的胰腺癌患者的癌及癌旁组织标本,通过qPCR、WB法和免疫组化染色技术验证KCNN4在胰腺癌组织中的表达水平。利用shRNA敲低人胰腺癌细胞中BXPC3和PANC-1中KCNN4的表达,通过CCK-8和克隆形成实验检测细胞增殖与生长情况。利用小鼠胰腺癌KPC细胞构建胰腺癌原位成瘤模型,观察敲低KCNN4对胰腺原位成瘤的影响,统计小鼠生存期(OS)。结果:整合TCGA和GTEx数据库数据分析结果发现,KCNN4在胰腺癌组织中高表达(P < 0.05),且与患者OS和DFS缩短相关(均P < 0.05)。胰腺癌组织中KCNN4 mRNA和蛋白表达量均显著高于癌旁组织(均P < 0.01)。KCNN4敲低后,胰腺癌细胞生长速率显著减慢、克隆形成数量显著减少(均P < 0.01)。小鼠胰腺原位荷瘤实验结果表明,KCNN4敲低可抑制肿瘤细胞在胰腺原位的生长并延长小鼠OS。结论:KCNN4在胰腺癌组织中高表达,其能促进胰腺癌细胞增殖和胰腺癌进展,与患者预后密切相关,有望作为胰腺癌临床诊断及预后评估的靶点。
3.Evaluation Value of Blood Biomarker Tests for Efficacy of EGFR-TKI in Advanced NSCLC Treatment
Rui FAN ; Yonghui WU ; Zhan GU ; Yanbin PENG ; Lixin WANG
Cancer Research on Prevention and Treatment 2025;52(5):382-387
Objective To analyze the levels of serum CTCs and ctDNA in NSCLC patients receiving first-line EGFR-TKI treatment, and to explore the clinical value of CTCs and ctDNA detection in assessing the efficacy of treatment for advanced lung cancer. Methods A total of 109 NSCLC patients receiving first-line EGFR-TKI treatment were enrolled. Serum tumor markers CEA, CTCs, and ctDNA were detected at baseline and after one month of treatment. Chest CT scans were performed, and treatment efficacy was evaluated based on RECIST1.1 criteria. CTCs were counted by enrichment-staining-computational algorithm to analyze malignant features, while ctDNA was assessed using digital PCR. Results Survival rate was low in patients with abnormal CEA and ctDNA tests at baseline and in patients with reduced serum CTCs after treatment. In the SD subgroup of patients with brain metastases and advanced stage, the PFS benefit was low. Conclusion Patients in the SD subgroup have significantly higher recurrence risks than those in the PR or CR subgroups. Therefore, CTC and ctDNA testing should be applied to patients in the SD subgroup to identify high-risk patients with poor response to EGFR-TKI treatment, intervene with additional treatment promptly, and obtain long progression-free survival.
4.The role of intraplaque neovascularization in recent and future ischemic stroke in patients with mild carotid stenosis
Luni ZHANG ; Rong WU ; Jing CHEN ; Shiyao GU ; Caixia JIA
Ultrasonography 2025;44(1):62-71
Purpose:
There is still insufficient evidence for predicting stroke risk in patients with mild carotid atherosclerotic stenosis. This study aimed to explore the association between carotid intraplaque neovascularization (IPN) in mild stenosis and ischemic stroke, using contrast-enhanced ultrasound (CEUS) imaging.
Methods:
This retrospective observational study included 369 patients from July 2021 to March 2022. These patients were categorized as symptomatic or asymptomatic based on their recent history of ipsilateral ischemic stroke. Initial parameters of carotid plaques, such as IPN grading and contrast enhancement index, were assessed using B-mode ultrasonography and CEUS. The follow-up period lasted 12 months or until a newly-developed ischemic stroke occurred. Logistic regression models and Cox proportional-hazards regression models were employed to explore the associations between ultrasonic parameters and the incidence of recent and future ischemic strokes.
Results:
In patients with mild stenosis, both increasing age and grade 2 carotid IPN were significant predictors of recent primary ischemic stroke. Furthermore, grade 2 carotid IPN independently predicted future ischemic strokes in both symptomatic and asymptomatic patients.
Conclusion
This study demonstrated that carotid IPN as detected by CEUS imaging holds potential as a useful non-invasive biomarker for predicting recent and future ischemic strokes in patients with mild carotid stenosis.
5.The role of intraplaque neovascularization in recent and future ischemic stroke in patients with mild carotid stenosis
Luni ZHANG ; Rong WU ; Jing CHEN ; Shiyao GU ; Caixia JIA
Ultrasonography 2025;44(1):62-71
Purpose:
There is still insufficient evidence for predicting stroke risk in patients with mild carotid atherosclerotic stenosis. This study aimed to explore the association between carotid intraplaque neovascularization (IPN) in mild stenosis and ischemic stroke, using contrast-enhanced ultrasound (CEUS) imaging.
Methods:
This retrospective observational study included 369 patients from July 2021 to March 2022. These patients were categorized as symptomatic or asymptomatic based on their recent history of ipsilateral ischemic stroke. Initial parameters of carotid plaques, such as IPN grading and contrast enhancement index, were assessed using B-mode ultrasonography and CEUS. The follow-up period lasted 12 months or until a newly-developed ischemic stroke occurred. Logistic regression models and Cox proportional-hazards regression models were employed to explore the associations between ultrasonic parameters and the incidence of recent and future ischemic strokes.
Results:
In patients with mild stenosis, both increasing age and grade 2 carotid IPN were significant predictors of recent primary ischemic stroke. Furthermore, grade 2 carotid IPN independently predicted future ischemic strokes in both symptomatic and asymptomatic patients.
Conclusion
This study demonstrated that carotid IPN as detected by CEUS imaging holds potential as a useful non-invasive biomarker for predicting recent and future ischemic strokes in patients with mild carotid stenosis.
6.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.
7.Driving effect of P16 methylation on telomerase reverse transcriptase-mediated immortalization and transformation of normal human fibroblasts.
Xuehong ZHANG ; Paiyun LI ; Ying GAN ; Shengyan XIANG ; Liankun GU ; Jing ZHOU ; Xiaorui ZHOU ; Peihuang WU ; Baozhen ZHANG ; Dajun DENG
Chinese Medical Journal 2025;138(3):332-342
BACKGROUND:
P16 inactivation is frequently accompanied by telomerase reverse transcriptase ( TERT ) amplification in human cancer genomes. P16 inactivation by DNA methylation often occurs automatically during immortalization of normal cells by TERT . However, direct evidence remains to be obtained to support the causal effect of epigenetic changes, such as P16 methylation, on cancer development. This study aimed to provide experimental evidence that P16 methylation directly drives cancer development.
METHODS:
A zinc finger protein-based P16 -specific DNA methyltransferase (P16-Dnmt) vector containing a "Tet-On" switch was used to induce extensive methylation of P16 CpG islands in normal human fibroblast CCD-18Co cells. Battery assays were used to evaluate cell immortalization and transformation throughout their lifespan. Cell subcloning and DNA barcoding were used to track the diversity of cell evolution.
RESULTS:
Leaking P16-Dnmt expression (without doxycycline-induction) could specifically inactivate P16 expression by DNA methylation. P16 methylation only promoted proliferation and prolonged lifespan but did not induce immortalization of CCD-18Co cells. Notably, cell immortalization, loss of contact inhibition, and anchorage-independent growth were always prevalent in P16-Dnmt&TERT cells, indicating cell transformation. In contrast, almost all TERT cells died in the replicative crisis. Only a few TERT cells recovered from the crisis, in which spontaneous P16 inactivation by DNA methylation occurred. Furthermore, the subclone formation capacity of P16-Dnmt&TERT cells was two-fold that of TERT cells. DNA barcoding analysis showed that the diversity of the P16-Dnmt&TERT cell population was much greater than that of the TERT cell population.
CONCLUSION
P16 methylation drives TERT -mediated immortalization and transformation of normal human cells that may contribute to cancer development.
Humans
;
Telomerase/genetics*
;
DNA Methylation/physiology*
;
Fibroblasts/cytology*
;
Cyclin-Dependent Kinase Inhibitor p16/metabolism*
;
Cell Line
;
Cell Transformation, Neoplastic/genetics*
8.Feasibility and long-term survival of proximal gastrectomy after neoadjuvant therapy for locally advanced proximal gastric cancer: A propensity-score-matched analysis.
Tingfei GU ; Yinkui WANG ; Zhouqiao WU ; Ning HE ; Yingai LI ; Fei SHAN ; Ziyu LI ; Jiafu JI
Chinese Medical Journal 2025;138(16):1984-1990
BACKGROUND:
Neoadjuvant therapy enhances the possibility of achieving radical resection and improves the prognosis for locally advanced gastric cancer (GC). However, there is a lack of evidence regarding the optimal extent of resection for locally advanced proximal GC after neoadjuvant therapy.
METHODS:
In this study, 330 patients underwent resection in Peking University Cancer Hospital, with curative intent after neoadjuvant therapy for histologically confirmed proximal GC from January 2009 to December 2022.
RESULTS:
In this study, 45 patients underwent proximal gastrectomy (PG), while 285 underwent total gastrectomy (TG). After propensity-score matching, 110 patients (71 TG and 39 PG) were included in the analysis. No significant differences between PG and TG regarding short-term outcomes and long-term prognosis were found. Specifically, PG demonstrated comparable overall survival to TG ( P = 0.47). Subgroup analysis revealed that although not statistically significant, PG showed a potential advantage over TG in overall survival for patients with tumor-long diameters less than 4 cm ( P = 0.31). However, for those with a long diameter larger than 4 cm, TG had a better survival probability ( P = 0.81). No substantial differences were observed in baseline characteristics, surgical safety, postoperative recovery, and postoperative complications.
CONCLUSION
For locally advanced proximal GC with objective response to neoadjuvant therapy (long diameter <4 cm), PG is an alternative surgical procedure.
Humans
;
Stomach Neoplasms/drug therapy*
;
Gastrectomy/methods*
;
Neoadjuvant Therapy/methods*
;
Male
;
Female
;
Middle Aged
;
Propensity Score
;
Aged
;
Adult
;
Retrospective Studies
9.The role of intraplaque neovascularization in recent and future ischemic stroke in patients with mild carotid stenosis
Luni ZHANG ; Rong WU ; Jing CHEN ; Shiyao GU ; Caixia JIA
Ultrasonography 2025;44(1):62-71
Purpose:
There is still insufficient evidence for predicting stroke risk in patients with mild carotid atherosclerotic stenosis. This study aimed to explore the association between carotid intraplaque neovascularization (IPN) in mild stenosis and ischemic stroke, using contrast-enhanced ultrasound (CEUS) imaging.
Methods:
This retrospective observational study included 369 patients from July 2021 to March 2022. These patients were categorized as symptomatic or asymptomatic based on their recent history of ipsilateral ischemic stroke. Initial parameters of carotid plaques, such as IPN grading and contrast enhancement index, were assessed using B-mode ultrasonography and CEUS. The follow-up period lasted 12 months or until a newly-developed ischemic stroke occurred. Logistic regression models and Cox proportional-hazards regression models were employed to explore the associations between ultrasonic parameters and the incidence of recent and future ischemic strokes.
Results:
In patients with mild stenosis, both increasing age and grade 2 carotid IPN were significant predictors of recent primary ischemic stroke. Furthermore, grade 2 carotid IPN independently predicted future ischemic strokes in both symptomatic and asymptomatic patients.
Conclusion
This study demonstrated that carotid IPN as detected by CEUS imaging holds potential as a useful non-invasive biomarker for predicting recent and future ischemic strokes in patients with mild carotid stenosis.
10.Validating Multicenter Cohort Circular RNA Model for Early Screening and Diagnosis of Gestational Diabetes Mellitus
Shuo MA ; Yaya CHEN ; Zhexi GU ; Jiwei WANG ; Fengfeng ZHAO ; Yuming YAO ; Gulinaizhaer ABUDUSHALAMU ; Shijie CAI ; Xiaobo FAN ; Miao MIAO ; Xun GAO ; Chen ZHANG ; Guoqiu WU
Diabetes & Metabolism Journal 2025;49(3):462-474
Background:
Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed.
Methods:
High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression.
Results:
Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts.
Conclusion
Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

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