Matrix metalloproteinases (MMPs) are endocellular proteolytic enzymes. They are so named because they need Ca2+, Zn2+ and other metal ions as their cofactors. MMPs play an important biological role in regulating the formation, remodeling and degradation of extracellular matrix and participate in various physiological and pathological processes of cells. Bone marrow-derived mesenchymal stem cells (BMSCs) are a kind of pluripotent stem cell which has the ability to self-renew and differentiate into functional cells. Meanwhile, they can respond to the damage signals and migrate to injured site for tissue repair and regeneration. MMPs and their inhibitors TIMPs affect the differentiation and migration of BMSCs. This article reviews the roles of MMPs in differentiation and migration of BMSCs.
Bone Marrow Cells ; cytology ; Cell Differentiation ; physiology ; Cell Movement ; physiology ; Humans ; Matrix Metalloproteinases ; physiology ; Mesenchymal Stromal Cells ; cytology

BACKGROUND:It has been proved that miR-34a plays an inhibitory role in the growth of lung cancer stem cels, but the underlying mechanism remains unclear.
OBJECTIVE:To explore the inhibitory effect of miR-34a on lung cancer stem celsand the underlying mechanism.
METHODS:The CD133+lung cancer stem cels were separated from lung cancer A549 cel lines using magnetic activated cel sorting method. And miR-34a-overexpressing CD133+lung cancer stem cels were established by liposome transfection technology. Besides,the targeted relationship between miR-34a and Notch1 was analyzed by the dual-luciferase reporter. Afterwards, Notch1 silencing was performed by gene knockout, and its effect on lung cancer stem cels was determined.
RESULTS AND CONCLUSION:After sorted and detected by immunomagetic selection and flow cytometry assay respectively, a high rate of CD133+lung cancer stem cel was obtained. And qRT-PCR detected that the expression level of miR-34a in CD133+lung cancer stem cels was significantly lower than that in CD133-lung cancer stem cels. Moreover, miR-34a-overexpressing CD133+lung cancer stem cels were successfuly constructedandmiR-34a significantly inhibited proliferation and induced apoptosis of lung cancer stemcels. Dual-luciferase reporter assay indicated that Notch1 mRNA was a target of miR-34a. In addition, Notch1 silencing obviously inhibited proliferation and induced apoptosis of lung cancer stem cels. These findings suggest that miR-34a can inhibite lungcancer stem celsviathe Notch1 signaling pathway.

Hepatocellular carcinoma (HCC) is one of the most common human malignant tumors worldwide; it is also hard to prevent its metastasis and recurrence by traditional treatments. Up to now, how to prevent and treat HCC is still a challenging problem in clinic. Cancer stem cells (CSCs) are cells within malignant tumor that possess the capacity to self-renew and differentiate to lead to the heterogeneous lineages of cancer cells that comprise the tumor, and are the root to cause metastasis, recurrence and bad prognosis of the cancer. Targeting CSCs is a novel therapeutic strategy for management and treatment of the cancer. In recent years, targeting intervention on liver cancer stem cells (LCSCs) gradually became a novel strategy for HCC treatment, and some exciting research results in the treatment of HCC were also achieved. In this review, we introduce the biological characteristics of LCSCs and highlight the therapeutic strategies for hepatocellular carcinoma by targeting intervention on LCSCs.
Animals ; Antineoplastic Agents ; therapeutic use ; Carcinoma, Hepatocellular ; therapy ; Humans ; Liver Neoplasms ; therapy ; Molecular Targeted Therapy ; Neoplastic Stem Cells ; metabolism ; pathology

Objective:To investigate the influencing factors for microvascular invasion (MVI) in hepatocellular carcinoma based on three-dimensional visualization and the construction of its nomogram model.Methods:The retrospective cohort study method was conducted. The clinico-pathological data of 190 patients with hepatocellular carcinoma who were admitted to Henan University People′s Hospital from May 2018 to May 2021 were collected. There were 148 males and 42 females, aged (58±12)years. The 190 patients were randomly divided into the training set of 133 cases and the validation set of 57 cases by the method of random number table in the ratio of 7:3. The abdominal three-dimensional visualization system was used to characterize the tumor morphology and other imaging features. Observation indicators: (1) analysis of influencing factors for MVI in hepatocellular carcinoma; (2) construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. Measurement data with normal distribution were expressed as Mean± SD, and independent sample t test was used for comparison between groups. Measurement data with skewed distribution were expressed as M( Q1, Q3), and non-parametric rank sum test was used for comparison between groups. Count data were expressed as absolute numbers, and the chi-square test was used for comparison between groups. Corresponding statistical methods were used for univariate analysis. Binary Logistic regression model was used for multivariate analysis. Receiver operator characteristic (ROC) curves were plotted, and the nomogram model was assessed by area under the curve (AUC), calibration curve, and decision curve. Results:(1) Analysis of influencing factors for MVI in hepatocellular carcinoma. Among 190 patients with hepatocellular carcinoma, there were 97 cases of positive MVI (including 63 cases in the training set and 34 cases in the validation set) and 93 cases of negative MVI (including 70 cases in the training set and 23 cases in the validation set). Results of multivariate analysis showed that alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology were independent factors affecting the MVI of patients with hepatocellular carcinoma ( odds ratio=5.06, 3.62, 1.00, 2.02, 2.59, 95% confidence interval as 1.61-15.90, 1.28-10.20, 1.00-1.01, 1.02-3.98, 1.03-6.52, P<0.05). (2) Construction and evaluation of nomogram model of MVI in hepatocellular carcinoma. The results of multivariate analysis were incorporated to construct a nomogram prediction model for MVI of hepatocellular carcinoma. ROC curves showed that the AUC of the training set of nomogram model was 0.85 (95% confidence interval as 0.79-0.92), the optimal fractional cutoff based on the Jordon′s index was 0.51, the sensitivity was 0.71, and the specificity was 0.84. The above indicators of validation set were 0.92 (95% confidence interval as 0.85-0.99), 0.50, 0.90, and 0.82, respectively. The higher total score of the training set suggested a higher risk of MVI in hepatocellular carcinoma. The calibration curves of both training and validation sets of nomogram model fitted well with the standard curves and have a high degree of calibration. The decision curve showed a high net gain of nomogram model. Conclusions:Alpha-fetoprotein, vascular endothelial growth factor, tumor volume, the number of tumors, and tumor morphology are independent influencing factors for MVI in patients with hepatocellular carcinoma. A nomogram model constructed based on three-dimensional visualized imaging features can predict MVI in hepatocellular carcinoma.

Objective:To analyze the influencing factors of abnormal 15-minute retention rate of indocyanine green (ICG R15) (≥10%) in patients with hepatocellular carcinoma, and to construct a nomogram model, and to evaluate the prediction efficiency of the nomogram model.Methods:The clinical data of 190 patients with hepatocellular carcinoma in Zhengzhou University People's Hospital from December 2017 to June 2022 were retrospectively analyzed, including 148 males and 42 females, aged (57.8±9.9) years. According to ICG R15, the patients were divided into ICG R15 normal group ( n=134, ICG R15<10%) and ICG R15 abnormal group ( n=56, ICG R15≥10%). Univariate and multivariate logistic regression were used to analyze the influencing factors of abnormal ICG R15, and the nomogram model was established. The predictive ability of the model was evaluated by receiver operating characteristic (ROC) curve and C-index, and the model was verified by calibration curve and decision analysis curve. Results:Abnormal ICG R15 group the proportion of liver cirrhosis, albumin ≤35 g/L, hemoglobin ≤110 g/L, platelet count ≤100×10 9/L, prothrombin time >13 s, alanine aminotransferase >40 U/L, aspartate aminotransferase >40 U/L, total bilirubin >34.2 μmol/L, and the largest tumor diameter >5.0 cm, spleen volume >383.1 cm 3, spleen volume to of non-tumor liver volume (SNLR) >0.276 and liver tumor volume >117.2 cm 3 were higher than that of ICG R15 normal group, and the differences were statistically significant (all P<0.05). Logistic regression analysis showed that liver cirrhosis ( OR=3.89, 95% CI: 1.28-11.80, P=0.016), spleen volume >383.1 cm 3( OR=5.17, 95% CI: 1.38-19.38, P=0.015), SNLR >0.276 ( OR=5.54, 95% CI: 1.44-21.26, P=0.013) and total bilirubin >34.2 μmol/L( OR=10.20, 95% CI: 1.88-55.39, P=0.007) increased the risk of abnormal ICG R15. A nomogram model was constructed based on the above risk factors. The C-index of the model was 0.915 (95% CI: 0.872-0.957), and the area under the ROC curve predicted by the nomogram model was 0.915 (95% CI: 0.871-0.958). The calibration curve showed that the correlation index of the abnormal ICG R15 predicted by the nomogram was similar to actual situation. Decision analysis curve showed high returns. Conclusion:Liver cirrhosis, spleen volume >383.1 cm 3, SNLR>0.276 and total bilirubin >34.2 μmol/L were indepentlent risk factors for abnormal ICG R15 in patients with hepatocellur carcinoma. The clinical prediction model of ICG R15 abnormality constructed by nomogram has good prediction efficiency, which can provide a reference for evaluating preoperative liver reserve function of patients with hepatocellular carcinoma.

Objective:To study the impact of the age-adjusted Charlson comorbidity index (ACCI) on the prognosis of patients with hilar cholangiocarcinoma following laparoscopic surgical resection.Methods:Clinical data of 136 patients with hilar cholangiocarcinoma undergoing laparoscopic surgery at Zhengzhou University People's Hospital between January 2013 and January 2018 were retrospectively analyzed, including 81 males and 55 females, aged (63.6±9.8) years. Patients were divided into two groups based on the median ACCI score of 4.0: the high ACCI group (ACCI>4.0, n=49) and low ACCI group (ACCI≤4.0, n=87). The prognosis was compared between the two group. Univariate and multivariate Cox regression analyses were performed to analyze the effect of ACCI on survival after laparoscopic surgery. Results:The 1- and 3-year cumulative survival rates in low ACCI group were 87.4% and 48.3%, respectively, compared to 53.1% and 4.1% in high ACCI group ( χ2=27.97, P<0.001). Univariate Cox regression analysis indicated that ACCI >4.0 was associated with prognosis ( HR=3.73, 95% CI: 2.44-5.68, P<0.001). Multivariate Cox regression analysis also indicated that ACCI >4.0 was associated with an increased risk of postoperative mortality in patients with hilar cholangiocarcinoma ( HR=2.69, 95% CI: 1.65-4.37, P<0.001). Conclusion:The ACCI is a significant risk factor for survival of patients with hilar cholangiocarcinoma following laparoscopic surgery, which could facilitate a precise preoperative assessment of patient status and choice of surgical approach.

PURPOSE: Several studies have compared the effects of coronary stenting and coronary-artery bypass grafting (CABG) on left main coronary artery (LMCA) disease. However, there are limited data on the long-term outcomes of these two interventions in diabetic patients. MATERIALS AND METHODS: We evaluated 56 patients with LMCA stenosis who underwent drug-eluting stent (DES) implantation and 116 patients who underwent CABG in a single hospital in China between January 2004 and December 2006. We compared long-term major adverse cardiac events (death; a "serious outcome" composite of death, myocardial infarction, or stroke; and target-vessel revascularization). RESULTS: In-hospital (30-day) mortality was 0% for the DES group and 3.4% for the CABG group (p=0.31). There was no difference between the two groups in terms of risk of death [hazard ratio for stenting group, 0.49; 95% confidence interval (CI), 0.13-1.63; p=0.55] or risk of serious outcome (hazard ratio for DES group, 1.11; 95% CI, 0.39-1.45; p=0.47). The target-vessel revascularization rate was higher in the DES group than in the CABG group (hazard ratio, 3.67; 95% CI, 1.24-11.06; p=0.018). CONCLUSION: In this cohort of diabetic patients with LMCA stenosis, there was no difference in composite endpoints between patients receiving DESs and those undergoing CABG. However, stenting was associated with higher rates of target-vessel revascularization than CABG. DES implantation in diabetic patients with LMCA disease was found to be at least as safe as CABG.
Angioplasty, Balloon, Coronary/*methods ; Coronary Stenosis/*therapy ; Diabetes Mellitus ; *Drug-Eluting Stents ; Female ; Humans ; Male ; Middle Aged ; Treatment Outcome

OBJECTIVE:Percutaneous sacroiliac screw internal fixation has become the main surgical procedure for the treatment of posterior pelvic ring fractures;however,the unassisted closure operation requires high operator experience and repeated fluoroscopy increases the radiation hazard for patients and medical personnel.This article compares the clinical efficacy of robot-assisted versus unassisted percutaneous sacroiliac screw placement for posterior pelvic ring fractures by meta-analysis. METHODS:Computer searches of CNKI,WanFang,VIP,CBM,PubMed,Embase,Cochrane Library and ClinicalTrials.gov were conducted from the time of database inception to December 2022.The literature on the clinical efficacy of robot-assisted versus freehand percutaneous sacroiliac screw placement in the treatment of posterior pelvic ring fractures was collected in and outside China.The data were independently screened and extracted by two investigators according to the inclusion and exclusion criteria,respectively.The quality of randomized controlled trials was evaluated using Cochrane risk assessment criteria.The quality of included cohort studies was assessed using the Newcastle-Ottawa Scale.Meta-analysis was performed using RevMan 5.4 software for inclusion metrics.Outcome metrics included operative time,intraoperative bleeding,fluoroscopy time,fluoroscopy frequency,number of holes drilled,Majeed postoperative function score,the excellent and good rates of Matta fracture reduction,the excellent and good rates of Gras screw position,fracture healing time and complications. RESULTS:(1)A total of 13 publications were included,2 were randomized controlled trials both referring to randomized methods,11 non-randomized controlled studies were evaluated for quality of literature according to the Newcastle-Ottawa Scale,1 scored 8,9 scored 7;and 1 scored 6;the quality of literature was good.A total of 748 patients were included,including 430 in the robot-assisted group and 318 in the freehand group.(2)The results of the meta-analysis showed that the operative time(MD=-28.30,95%CI:-40.20 to-16.40),intraoperative bleeding(MD=-6.36,95%CI:-10.06 to-2.66),intraoperative fluoroscopy time(MD=-12.13,95%CI:-19.54 to-4.72),intraoperative fluoroscopy frequency(MD=-17.39,95%CI:-29.00 to-5.78),number of intraoperative needle drillings(SMD=-9.50,95%CI:-14.27 to-4.73)and the excellent and good rates of Gras screw position(OR=8.65,95%Cl:3.26-22.92)in the robot-assisted group were significantly better than those in the freehand group(P<0.05).(3)In the robot-assisted group,the overall postoperative complication rate was significantly reduced(OR=0.10,95%Cl:0.02-0.48,P<0.05).(4)No significant difference was detected in fracture healing time(MD=-0.08,95%CI:-0.21,0.06),the excellent and good rates of Matta fracture repositioning rate(OR=2.06,95%Cl:0.97-4.39),and Majeed functional score(MD=0.91,95%CI:-0.31-2.13)between both groups(P>0.05). CONCLUSION:Compared with freehand sacroiliac joint nailing,robotic assistance shortens the operative time,reduces intraoperative bleeding,decreases radiation damage to patients and medical staff,improves the excellent and good rate of screw position,and reduces the overall incidence of postoperative complications in patients,but there was no significant improvement in fracture reduction quality,fracture healing time,and postoperative function.In the future,more large-sample,multicenter,and high-quality randomized controlled trials are still needed to verify.

Background::The goal of the assisted reproductive treatment is to transfer one euploid blastocyst and to help infertile women giving birth one healthy neonate. Some algorithms have been used to assess the ploidy status of embryos derived from couples with normal chromosome, who subjected to preimplantation genetic testing for aneuploidy (PGT-A) treatment. However, it is currently unknown whether artificial intelligence model can be used to assess the euploidy status of blastocyst derived from populations with chromosomal rearrangement.Methods::From February 2020 to May 2021, we collected the whole raw time-lapse videos at multiple focal planes from in vitro cultured embryos, the clinical information of couples, and the comprehensive chromosome screening results of those blastocysts that had received PGT treatment. Initially, we developed a novel deep learning model called the Attentive Multi-Focus Selection Network (AMSNet) to analyze time-lapse videos in real time and predict blastocyst formation. Building upon AMSNet, we integrated additional clinically predictive variables and created a second deep learning model, the Attentive Multi-Focus Video and Clinical Information Fusion Network (AMCFNet), to assess the euploidy status of embryos. The efficacy of the AMCFNet was further tested in embryos with parental chromosomal rearrangements. The receiver operating characteristic curve (ROC) was used to evaluate the superiority of the model. Results::A total of 4112 embryos with complete time-lapse videos were enrolled for the blastocyst formation prediction task, and 1422 qualified blastocysts received PGT-A ( n = 589) or PGT for chromosomal structural rearrangement (PGT-SR, n = 833) were enrolled for the euploidy assessment task in this study. The AMSNet model using seven focal raw time-lapse videos has the best real-time accuracy. The real-time accuracy for AMSNet to predict blastocyst formation reached above 70% on the day 2 of embryo culture, and then increased to 80% on the day 4 of embryo culture. Combing with 4 clinical features of couples, the AUC of AMCFNet with 7 focal points increased to 0.729 in blastocysts derived from couples with chromosomal rearrangement. Conclusion::Integrating seven focal raw time-lapse images of embryos and parental clinical information, AMCFNet model have the capability of assessing euploidy status in blastocysts derived from couples with chromosomal rearrangement.

In the process of tumor growth, with the proliferation and expansion of cancer cells, the reconstruction of extracellular matrix (ECM) of cancer tissues, the restriction of surrounding tissues and the flow of cancer tissue interstitial fluid, the special stress environment is formed in the tumor tissues. Significant differences are found in the mechanical environment and mechanical characteristics of different regions of tumor tissues, that is, mechanical heterogeneity. The reseach shows that the mechanical properties of tumor tissue invasion frontier areas are more significant and complex. In particular, the epithelial-mesenchymal transition (EMT) of tumor cells also prefers to concentrate on this area. The mechanical stress generated by the invasion front can induce EMT of tumor cells through TWIST1, TGF-β, WNT and other force signal transduction pathways, and promote tumor cell invasion. From the perspective of tumor biomechanics, this review focuses on the relationship between mechanical heterogeneity of tumor cells and EMT, so as to provide the theoretical basis for mechanoenvironment-targeted therapy of tumors.