Aim To explore whether platelet-derived growth factor C(PDGFC)derived from cancer-associat-ed fibroblasts(CAFs)can promote resistance of breast cancer cells to doxorubicin(DOX)and the underlying mechanisms.Methods CAFs and normal fibroblasts(NFs)were extracted from freshly resected breast cancer tissue and adjacent normal breast tissue respec-tively.Conditioned medium(CM)from CAFs and NFs was collected and co-cultured with breast cancer cells.Cell proliferation and toxicity were assessed using a Cell Counting Kit-8(CCK-8).The expression of PDG-FC in CAFs,NFs and corresponding CM was detected by Western blot and ELISA respectively.The influence of CAFs-CM on intracellular doxorubicin content in breast cancer cells was observed by fluorescence mi-croscopy.The impact of CAFs-CM on apoptosis-related proteins BAX and BCL2 was predicted and valifated u-sing the Starbase database and Western blot.The changes in ROS levels,mitochondrial membrane po-tential,and mitochondrial membrane proteins TOM20 and COX Ⅳ in breast cancer cells were measured using DCFH-DA fluorescence staining,JC-1 assay,and Western blot.Results CAFs-CM decreased the intra-cellular doxorubicin content and inhibited the sensitivi-ty of breast cancer cells to doxorubicin.Additionally,the expression of apoptosis protein BAX decreased while the anti-apoptotic protein BCL2 increased in breast cancer cells cultured with CAFs-CM.Further-more,CAFs-CM led to decreased ROS levels and in-creased mitochondrial membrane potential in breast cancer cells accompanied with elevated expression of mitochondrial membrane proteins TOM20 and COX Ⅳ.Further study found that PDGEF was highly expressed in CAFs and CAFs-CM,recombinant human PDGFC produced resistance of breast cancer cells to DOX simi-lar to CAFs-CM,and the specific inhibitors of PDGFRα significantly inhibited CAFs-CM.Further mechanistic studies revealed that PDGFC in CAFs-CM induced chemoresistance by activating PI3K-mTOR signaling pathway.Conclusion PDGFC secreted by CAFs promotes doxorubicin resistance in breast cancer cells through PI3K-mTOR signaling pathway,which provides a new perspective for the development of anti-cancer drugs targeting CAFs.

Objective To investigate the efficacy of endoscopic Delta large channel unilateral laminotomy for bilateral decompression(ULBD)in the treatment of lumbar spinal stenosis(LSS),and the postoperative complications was analyzed.Methods A total of 100 patients with LSS in our hospital from January 2021 to February 2023 were selected and divided into the control group and the observation group according to random number table method,with 50 cases in each group.Patient in the control group were treated with bilateral or unilateral decompression through the median incision adjacent to the lateral spinous process,and patients in the observation group were treated with endoscopic Delta large channel ULBD.The visual analogue scale(VAS)scores,Japanese Orthopaedic Association(JOA)scores,Oswestry disability index(ODI)scores before surgery and 1 month,3 months,6 months after surgery,as well as clinical efficacy and incidence of postoperative complications of patients between the two groups were compared.Results Compared with preoperative results,the VAS scores of leg pain and low back pain and ODI scores of patients 1 month,3 months and 6 months after surgery in both groups were significantly lower(P<0.05),and JOA scores were significantly higher(P<0.05).Moreover,compared with the control group,the VAS scores of leg pain and low back pain and ODI scores of patients 1 month,3 months and 6 months after surgery in the observation group were lower(P<0.05),the JOA scores were higher(P<0.05).The total effective rate in the observation group was 98.00%,which was higher than 72.00%in the control group(P<0.05).The incidence of postoperative complications in the observation group was 4.00%,which was lower than 24.00%in the control group(P<0.05).Conclusion Endoscopic Delta large channel ULBD in the treatment of LSS can effectively reduce postopera-tive leg pain and low back pain,improve lumbar function,improve clinical therapeutic effect,and reduce postoperative complications.

Objective To explore the efficiency of artificial intelligence and radiomics-assisted X-ray in diagnosis of lumbar osteoporotic vertebral compression fractures(OVCF).Methods The clinical data of 455 patients diagnosed as lumbar OVCF by MRI in our hospital were selected.The patients were divided into the training group(n=364)and the validation group(n=91),X-ray films were extracted,the image delineation,feature extraction and data analysis were carried out,and the artificial intelligence radiomics deep learning was applied to establish a diagnostic model for OVCF.After verifying the effectiveness of the model by receiver operating characteristic(ROC)curve,area under the curve(AUC),calibration curve,and decision curve analysis(DCA),the efficiencies of manual reading,model reading,and model-assisted manual reading of X-ray in the early diagnosis of OVCF were compared.Results The ROC curve,AUC and calibration curve proved that the model had good discrimination and calibration,and excellent diagnostic performance.DCA demonstrated that the model had a higher clinical net benefit.The diagnostic efficiency of the manual reading group:the accuracy rate was 0.89,the recall rate was 0.62.The diagnostic efficiency of the model reading group:the accuracy rate was 0.93,the recall rate was 0.86,the model diagnosis showed good predictive performance,which was significantly better than the manual reading group.The diagnostic efficiency of the model-assisted manual reading group:the accuracy rate was 0.92,the recall rate was 0.72,and the recall rate of the model-assisted manual reading group was higher than that of the manual reading group,but lower than that of the model reading group,indicating the superiority of the model diagnosis.Conclusion The diagnostic model established based on artificial intelligence and radiomics in this study has reached an ideal level of efficacy,with better diagnostic efficacy compared with manual reading,and can be used to assist X-ray in the early diagnosis of OVCF.

Objective To develop a clinical prediction model for predicting risk factors for prolonged hospital stay after anterior cervical discectomy and fusion(ACDF).Methods The clinical data of 914 patients underwent ACDF treatment for cervical spondylotic myelopathy(CSM)were retrospectively analyzed.According to the screening criteria,800 eligible patients were eventually included,and the patients were divided into the development cohort(n=560)and the validation cohort(n=240).LASSO regression was used to screen variables,and multivariate Logistic regression analysis was used to establish a prediction model.The prediction model was evaluated from three aspects:differentiation,calibration and clinical effectiveness.The performance of the model was evaluated by area under the curve(AUC)and Hosmer-Lemeshow test.Decision curve analysis(DCA)was used to evaluate the clinical effectiveness of the model.Results In this study,the five factors that were significantly associated with prolonged hospital stay were male,abnormal BMI,mild-to-moderate anemia,stage of surgery(morning,afternoon,evening),and alcohol consumption history.The AUC of the development cohort was 0.778(95%CI:0.740 to 0.816),with a cutoff value of 0.337,and that of the validation cohort was 0.748(95%CI:0.687 to 0.809),with a cutoff value of 0.169,indicating that the prediction model had good differentiation.At the same time,the Hosmer-Lemeshow test showed that the model had a good calibration degree,and the DCA proved that it was effective in clinical application.Conclusion The prediction model established in this study has excellent comprehensive performance,which can better predict the risk of prolonged hospital stay,and can guide clinical intervention as soon as possible,so as to minimize the postoperative hospital stay and reduce the cost of hospitalization.

Objective To explore the risk factors for surgical site infection(SSI)after transforaminal lumbar interbody fusion(TLIF)for the treatment of lumbar degenerative diseases.Methods A total of 1 000 patients who underwent TLIF for lumbar degenerative diseases in our hospital were included and divided into the infection group(n=23)and the non-infection group(n=977)according to whether the surgical incision was infected.General data,surgical and laboratory indicators of patients were collected,and potential risk factors of SSI were screened by univariate analysis and multivariate regression analysis,a nomogram model was established,and its predictive efficiency was validated by the receive operating characteristic(ROC)curve.Results The incidence of SSI in patients after TLIF was 2.3％.The results of univariate analysis showed that age,operative time,intraoperative blood loss,preoperative C-reactive protein(CRP),smoking,and diabetes mellitus were the significant risk factors for the occurrence of SSI.Multivariate regression analysis showed that older age,longer operation time,more intraoperative blood loss,smoking and diabetes mellitus were the independent risk factors for postoperative SSI.ROC curve showed that the nomogram model established in this study has good predictive efficiency.Conclusion Older age,longer operation time,more intraoperative blood loss,smoking,and diabetes mellitus were independent risk factors for postoperative SSI.For patients with these high risk factors,corresponding intervention measures should be taken before operation to reduce the incidence of SSI.

Pancreatic polypeptide(PP),a pancreatic hormone containing 36 amino acids,plays impor-tant roles in the diagnosis and evaluation of pancreatic function,injury and diseases.In this study,a phage nanobody library against PP was constructed to screen specific PP nanobodies,which would be used to evaluate whether they have binding activity with PP antigen.After PP antigen with high purity was prepared by prokaryotic expression system,it was used to immunize alpaca to construct the nanobody li-brary against PP with high storage capacity and high abundance,from which 8 strains of PP nanobodies were obtained by phage display.One of nanobody strain(PP-VHH)was selected to be expressed in a prokaryotic expression system,which was induced overnight by IPTG.After purification and identifica-tion,the antigen-antibody binding activity and PP level in serum were detected by indirect ELISA and Sandwich ELISA methods,respectively.The results showed that PP-VHH had binding activity with PP,which could be used to detect PP in chicken and human serum.The Sandwich ELISA methods with R2 of the fitting curve 0.9868 could be used to detect PP concentrations of 48-55 pg/mL in the serum of chick-ens,while the concentrations of PP in human serum varied significantly.In summary,PP-VHH screened from nanobody library against PP could detect PP in serum,which would supply the basis for evaluation of abnormal pancreatic function and diagnosis of relative disease.

Objective:To evaluate the efficacy of acute T-cell lymphoblastic leukemia(T-ALL)in children and explore the prognostic risk factors.Methods:The clinical data of 127 newly diagnosed children with T-ALL admitted to five hospitals in Fujian province from April 2011 to December 2020 were retrospectively analyzed,and compared with children with newly diagnosed acute precursor B-cell lymphoblastic leukemia(B-ALL)in the same period.Kaplan-Meier analysis was used to evaluate the overall survival(OS)and event-free survival(EFS),and COX proportional hazard regression model was used to evaluate the prognostic factors.Among 116 children with T-ALL who received standard treatment,78 cases received the Chinese Childhood Leukemia Collaborative Group(CCLG)-ALL 2008 protocol(CCLG-ALL 2008 group),and 38 cases received the China Childhood Cancer Collaborative Group(CCCG)-ALL 2015 protocol(CCCG-ALL 2015 group).The efficacy and serious adverse event(SAE)incidence of the two groups were compared.Results:Proportion of male,age ≥ 10 years old,white blood cell count(WBC)≥ 50 × 109/L,central nervous system leukemia,minimal residual disease(MRD)≥ 1％during induction therapy,and MRD ≥ 0.01％at the end of induction in T-ALL children were significantly higher than those in B-ALL children(P＜0.05).The expected 10-year EFS and OS of T-ALL were 59.7％and 66.0％,respectively,which were significantly lower than those of B-ALL(P＜0.001).COX analysis showed that WBC ≥ 100 x 109/L at initial diagnosis and failure to achieve complete remission(CR)after induction were independent risk factors for poor prognosis.Compared with CCLG-ALL 2008 group,CCCG-ALL 2015 group had lower incidence of infection-related SAE(15.8％vs 34.6％,P=0.042),but higher EFS and OS(73.9％vs 57.2％,PEFS=0.090;86.5％vs 62.3％,PoS=0.023).Conclusions:The prognosis of children with T-ALL is worse than children with B-ALL.WBC ≥ 100 × 109/L at initial diagnosis and non-CR after induction(especially mediastinal mass has not disappeared)are the risk factors for poor prognosis.CCCG-ALL 2015 regimen may reduce infection-related SAE and improve efficacy.

Objective:To investigate the accuracy of next-generation sequencing technology(NGS)in detecting the polymorphisms of HLA-DRB1,DQB1,DQA1,DRB3,DRB4,DRB5,DPA1 and DPB1 alleles in randomly-selected unrelated healthy individuals from Shenzhen Han population,investigate the potential reason for HLA-DRB1 allele dropout in routine NGS,and establish an internal quality control system.Methods:NGS-based HLA class Ⅱ genotyping was performed on 1 012 samples using the MiSeqDxTM platform.The suspected missed alleles indicated by the quality control software and HLA-DRB1 homozygotes were confirmed by PCR-SSOP or PCR-SBT methods.Results:A total of 139 alleles were detected,including HLA-DRB1(45),DRB3(7),DRB4(5),DRB5(7),DQA1(17),DQB1(21),DPA1(10)and DPB1(27).HLA-DRB 1*09:01(17.09％),15:01(10.72％);DRB3*02:02(25.99％),03:01(10.18％);DRB4*01:03(36.46％);DRB5*01:01(15.42％);DQA1*01:02(20.01％),03:02(17.19％);DQB1*03:01(19.47％),03:03(17.98％),05:02(11.66％),06:01(10.67％);DPA1*02:02(54.45％),01:03(31.18％)and DPB1*05:01(39.13％),02:01(16.90％)alleles were the most common alleles in Shenzhen Han population(frequencies＞10％).There was no statistical difference between the gene frequencies of HLA-DRB1 and DQB1 loci in our study.The HLA Common and Well-Documented Alleles in China(CWD2.4)(x2=12.68,P＞0.05).94 cases of HLA-DRB1 homozygous samples detected by NGS were retested by PCR-SSOP or SBT method,and one case of allele dropout at HLA-DRB1 locus was found.SBT method confirmed that the allele of DRB1*04:03 was missed.The laboratory internal quality control system was established.Two cases of new alleles were detected and named by WHO Nomenclature Committee for Factors of the HLA System.Conclusion:The HLA genotyping results based on NGS showed a significantly lower ambiguity rate.The HLA class Ⅱ alleles exhibit genetic polymorphism in the Han population of unrelated healthy individuals in Shenzhen.The independent method based on NGS in clinical histocompatibility testing has limitations and requires internal quality control strategies to avoid allele-dropout events.

Objective:To analyze the related factors of treatment failure in children with acute lymphoblastic leukemia (ALL)in real-world.Methods:The clinical data of 1414 newly diagnosed children with ALL admitted to five hospital in Fujian province from April 2011 to December 2020 were retrospectively analyzed.Treatment failure was defined as relapse,non-relapse death,and secondary tumor.Results:Following-up for median time 49.7 (0.1-136. 9)months,there were 269 cases (19.0％)treatment failure,including 140 cases (52.0％)relapse,and 129 cases (48.0％)non-relapse death.Cox univariate and multivariate analysis showed that white WBC≥50 ×109/L at newly diagnosis,acute T-cell lymphoblastic leukemia (T-ALL),BCR-ABL1,KMT2A-rearrangement and poor early treatment response were independent risk factor for treatment failure (all HR>1.000,P<0.05).The 5-year OS of 140 relapsed ALL patients was only 23.8％,with a significantly worse prognosis for very early relapse (relapse time within 18 months of diagnosis).Among 129 patients died from non-relapse death,71 cases (26.4％)were died from treatment-related complications,56 cases (20.8％)died from treatment abandonment,and 2 cases (0.7％)died from disease progression.Among them,treatment-related death were significantly correlated with chemotherapy intensity,while treatment abandonment were mainly related to economic factors.Conclusion:The treatment failure of children with ALL in our province is still relatively high,with relapse being the main cause of treatment failure,while treatment related death and treatment abandonment caused by economic factors are the main causes of non-relapse related death.

Allyl isothiocyanate (AITC) is a natural product commonly used in food preservation and pharmaceutical applications. Toxoplasmosis, caused by the protozoan pathogen Toxoplasma gondii, is prevalent globally while the impact of AITC on toxoplasmosis is unclear. We explored the effect of AITC on acute toxoplasmosis. We infected C57BL/6 mice with T. gondii type I RH strain following AITC administration. On the 4th day after infection, which corresponds to the initial stage of infection, we collected serum for the determination of inflammatory cytokine levels. The mice serum of the AITC-administered group contained significantly lower levels of granulocyte colony-stimulating factor, interferon-gamma, interleukin (IL)-23 subunit p19, IL-4, IL-6, and monocyte chemoattractant protein-1. The lifespan of the mice in the AITC-administered group was significantly reduced. In vitro experiments showed that AITC promoted the proliferation of intracellular T. gondii accompanied by the inhibition of IL-4, IL-1β, and IL-6 production in RAW264.7 macrophages. Our results showed that AITC facilitated T. gondii infection in the early stage by inhibiting the production of several inflammatory cytokines.