Purpose: Dual anti–human epidermal growth factor receptor 2 (HER2) drugs have become the standard regimen for neoadjuvant systemic treatment (NST) to HER2-positive breast cancer patients. However, the efficacy varies greatly among patients with different HER2 protein expression levels. Materials and Methods: A total of 575 HER2-positive breast cancer patients from multiple centers throughout China from 2013 to 2022 were retrospectively analyzed. We compared clinicopathological features in different HER2 immunohistochemistry classes (HER2 2+/in situ hybridization [ISH] + or HER2 3+), and their difference in response to NST and survival with single or dual anti-HER2 drugs. Drug sensitivity assays were used to evaluate different efficacy of anti-HER2 drugs in vitro. Results: Compared to HER2 3+ subgroup, the HER2 2+/ISH+ group had a higher proportion of hormone receptor–positive status (48.7% vs. 76.1%, p < 0.001), more HER2 protein loss after NST, lower pathological complete response (pCR) rate (46.07% vs. 16.24%, p < 0.001), and tended to have worse disease-free survival (DFS). In HER2 2+/ISH+ patients, treated with pertuzumab and trastuzumab in combination had no significant improvement in pCR (19.12% vs. 12.24%, p=0.287) and DFS (p=0.908) than using alone. Drug sensitivity assay showed poor efficacy with dual anti-HER2 drugs in HER2 2+/ISH+ cell lines; however, fam-trastuzumab deruxtecan drugs had a satisfactory effect. Conclusion Owing to the differences in clinicopathological features and treatment efficacy, we considered the HER2 2+/ISH+ group to be a distinct subtype and defined it as the HER2-moderate–positive subgroup. In this subgroup, dual anti-HER2 drugs did not exert significant improvement in pCR and DFS. Therefore, treatment optimization is warranted, with antibody-drug conjugate drugs as potential options.

OBJECTIVES: To investigate the prognostic significance of PDZ-binding kinase (PBK) in pan-cancer and its potential as a therapeutic target for pancreatic cancer. METHODS: PBK expression levels were investigated in 33 cancer types based on data from TCGA, GEO and CPTAC databases. RT-PCR and Western blotting were employed to examine PBK expression in clinical pancreatic cancer specimens and cell lines. The diagnostic and prognostic value of PBK in pancreatic cancer was evaluated using survival analysis, Cox regression analysis, ROC curve analysis, and clinical correlation studies. Gene enrichment and immune correlation analyses were conducted to explore the potential role of PBK in tumor microenvironment, and its correlation with drug sensitivity was investigated using GDSC and CTRP datasets. In pancreatic cancer BXPC-3 cells, the effects of lentivirus-mediated PBK knockdown on cell proliferation, migration, and invasion were examined using CCK-8, colony formation, and Transwell assays. The interaction between PBK and non-SMC condensin II complex subunit G2 (NCAPG2) was analyzed using co-immunoprecipitation and Western blotting. RESULTS: PBK was overexpressed in multiple cancer types, including pancreatic cancer. A high PBK expression was associated with a poor prognosis of the patients and correlated with immune infiltration and alterations in the tumor microenvironment. Elevated PBK expression was positively correlated with the sensitivity to MEK inhibitors (Trametinib) and EGFR inhibitors (Afatinib) but negatively with the sensitivity to Bcl-2 inhibitors (TW37) and niclosamide. In BXPC-3 cells, PBK knockdown significantly suppressed NCAPG2 expression and inhibited cell proliferation, migration, and invasion. Co-immunoprecipitation confirmed a direct binding between PBK and NCAPG2. CONCLUSIONS PBK is a key regulator of pancreatic cancer and interacts with NCAPG2 to promote tumor progression, suggesting its value as a potential biomarker and therapeutic target for pancreatic cancer.
Humans ; Pancreatic Neoplasms/genetics* ; Prognosis ; Biomarkers, Tumor/genetics* ; Cell Line, Tumor ; Cell Proliferation ; Adenocarcinoma/metabolism* ; Tumor Microenvironment ; Cell Movement ; Mitogen-Activated Protein Kinase Kinases

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective To investigate the role of Glycoprotein non-metastatic melanoma protein B(GPNMB)in hypoxia-induced epithelial-mesenchymal transition(EMT)in human chorionic trophoblast HTR-8/SVneo cells.Methods HTR-8/SVneo cells were cultured in vitro to investigate the effect of hypoxia on GPNMB expression.The cells were transfected with either a GPNMB overexpression plasmid(pcDNA3.1-GPNMB),small interfering RNA targeting GPNMB(si-GPNMB-1/2),or their respective negative controls(pcDNA3.1-NC or si-NC),and were also treated with the autophagy agonist rapamycin(Rap).The experimental groups were categorized as follows:Normoxia,Hypoxia,Normoxia/Hypoxia+si-NC or si-GPNMB,Normoxia/Hypoxia+pcDNA3.1-NC or pcDNA3.1-GPNMB,Normoxia/Hypoxia+Rap,and Hypoxia+Rap+pcDNA3.1-NC or pcDNA3.1-GPNMB.GPNMB expression levels were evaluated using qRT-PCR,Western blotting,and immunofluorescence staining.The expression of autophagy-related proteins(LC3B Ⅱ/Ⅰ,p62)and epithelial-mesenchymal transition(EMT)markers(E-cadherin,N-cadherin)was analyzed by Western blotting.Cell migration and invasion capacities were assessed using wound healing and Transwell assays.Results Compared with the Normoxia group,the mRNA and protein levels of GPNMB were downregulated in the Hypoxia group.Additionally,the protein levels of p62 and N-cadherin were reduced,while LC3B Ⅱ/Ⅰ and E-cadherin expression levels were increased(P<0.05).Compared with the Hypoxia+si-NC group,the Hypoxia+si-GPNMB-2 group showed significantly decreased protein levels of p62 and N-cadherin,along with elevated levels of LC3B Ⅱ/Ⅰ and E-cadherin(P<0.05).Compared with the Hypoxia+pcDNA3.1-NC group,the Hypoxia+pcDNA3.1-GPNMB group exhibited opposite trends.Notably,compared with the Hypoxia group,the Hypoxia+Rap group showed increased LC3B Ⅱ/Ⅰ and E-cadherin levels,accompanied by reduced p62 and N-cadherin levels(P<0.05).However,compared with the Hypoxia+pcDNA3.1-GPNMB group,the Hypoxia+Rap+pcDNA3.1-GPNMB group attenuated the promoting effect of GPNMB overexpression on EMT in HTR-8/SVneo cells,as evidenced by decreased p62 and N-cadherin protein expression levels and increased LC3BⅡ/Ⅰ and E-cadherin protein expression levels(P<0.05).Conclusion In hypoxia-induced HTR-8/SVneo cells,GPNMB inhibits autophagy,promotes the epithelial-mesenchymal transition,and enhances cell migration and invasion.

Objective To explore the value of diffusion-weighted imaging(DWI)and apparent diffusion coefficient(ADC)in magnetic resonance imaging(MRI)in differential diagnosis of benign and malignant cervical lymph nodes in patients with nasopharyngeal carcinoma.Methods Clinical data of 98 patients diagnosed with nasopharyngeal carcinoma were retrospectively analyzed.This cohort included 65 patients with pathologically confirmed malignant lymph nodes and 33 patients with benign lymph nodes.Prior to pathological diagnosis,all patients underwent routine MRI scans and DWI.ADC values of both benign and malignant lymph nodes were recorded.The diagnostic performance was evaluated using receiver operating characteristic(ROC)curve analysis.Additionally,the diagnostic efficacy of MRI and ADC values in distinguishing benign and malignant lymph nodes of nasopharyngeal carcinoma was compared.Results Of the 65 patients with malignant lymph nodes,42 cases were accompanied by liquefactive necrosis,and 13 cases were accompanied by extracapsular invasion.Most benign lymph nodes showed no signal on DWI sequence,while malignant lymph nodes showed obvious high signal or mixed signals.The ADC value of benign lymph nodes was(1.724±0.365)×10-3 mm2/s,which was higher than that of malignant nodes(1.022±0.210)×10-3 mm2/s(P＜0.01).The ROC curve analysis results showed that the area under the curve of ADC value for diagnosing benign and malignant lymph nodes was 0.843(95%CI:0.782-0.904),with a cutoff value of 1.363×10-3 mm2/s.At this point,the sensitivity and specificity for differentiating benign and malignant lymph nodes were 0.856 and 0.849,respectively,and Youden index was 0.705.When the ADC value was lower than the cutoff value,the accuracy,sensitivity and specificity for differentiating cervical lymph nodes in nasopharyngeal carcinoma patients were 0.878,0.892 and 0.848,respectively,which were superior to MRI(P＜0.05).Conclusion The DWI images of malignant lymph nodes in patients with nasopharyngeal carcinoma show high signal and low ADC,and ADC has high efficiency in the differential diagnosis of benign and malignant cervical lymph nodes.

Objective To understand the epidemiological characteristics and trends of postoperative pneumonia(POP)in tertiary general hospitals in Jiangsu Province,and provide theoretical basis for carrying out targeted pre-vention and control measures.Methods Surgery patients from 22 tertiary general hospitals in 12 cities in north,central,and south of Jiangsu Province from January 1,2022 to December 31,2023 were chosen as studied subjects,occurrence of POP was analyzed and compared.Results A total of 848 274 surgical procedures were performed in 22 hospitals,and 3 606 cases of POP occurred,with an incidence of 0.43％.The incidence in 2023 was 0.37％,which was lower than that in 2022(0.49％),with statistically significant difference(P＜0.001).The top three de-partments with high incidence of POP were neurosurgery(6.71％),cardiothoracic surgery(2.91％),and general surgery(0.77％).Among hospitals of different grades,the incidence of POP in tertiary first-class hospitals was 0.44％,which was higher than that in other tertiary hospitals(0.37％).There was no statistically significant difference in the incidence of POP between municipal and district/county hospitals(P＞0.05).The incidence of POP in hospitals with a bed:infection control full-time staff ratio＜200∶1 was lower than that in hospitals with the ratio ≥200∶1(0.39％vs 0.47％,P＜0.001),while the incidence of POP in hospitals with a proportion ≥30％of full-time staff being doctors was higher than that in hospitals with a proportion＜30％(0.45％vs 0.36％,P＜0.001).The incidence of POP in male patients was higher than that in female patients(0.62％vs 0.26％,P＜0.001).The incidence of POP in elderly patients aged≥65 was higher than that in patients aged＜65(0.73％vs 0.26％,P＜0.001).A total of 2 667 strains of infectious pathogens were detected,with the top three being Acine-tobacter baumannii,Klebsiella pneumoniae,and Pseudomonas aeruginosa,accounting for 28.95％,22.72％,and 15.45％,respectively.The detection rates of carbapenem-resistant Acinetobacter baumannii(CRAB),carba-penem-resistant Klebsiella pneumoniae(CRKP),and carbapenem-resistant Pseudomonas aeruginosa(CRPA)were 60.75％,21.45％,and 32.28％,respectively.The detection rate of CRKP decreased in 2023 compared with 2022,with statistically significant difference(P＜0.05).Conclusion The overall incidence of POP in tertiary general hos-pitals in Jiangsu Province is relatively low,but there are significant differences among different hospitals.There-fore,perioperative prevention and control measures should be carried out based on the epidemiological characteristics of patients.

OBJECTIVE: To summarize the latest research progress of graphene and its derivatives (GDs) in bone repair. METHODS: The relevant research literature at home and abroad in recent years was extensively accessed. The properties of GDs in bone repair materials, including mechanical properties, electrical conductivity, and antibacterial properties, were systematically summarized, and the unique advantages of GDs in material preparation, functionalization, and application, as well as the contributions and challenges to bone tissue engineering, were discussed. RESULTS: The application of GDs in bone repair materials has broad prospects, and the functionalization and modification technology effectively improve the osteogenic activity and material properties of GDs. GDs can induce osteogenic differentiation of stem cells through specific signaling pathways and promote osteogenic activity through immunomodulatory mechanisms. In addition, the parameters of GDs have significant effects on the cytotoxicity and degradation behavior. CONCLUSION GDs has great potential in the field of bone repair because of its excellent physical and chemical properties and biological properties. However, the cytotoxicity, biodegradability, and functionalization strategies of GDs still need to be further studied in order to achieve a wider application in the field of bone tissue engineering.
Graphite/pharmacology* ; Tissue Engineering/methods* ; Humans ; Osteogenesis/drug effects* ; Biocompatible Materials/pharmacology* ; Bone Regeneration ; Tissue Scaffolds/chemistry* ; Cell Differentiation ; Bone and Bones ; Bone Substitutes/chemistry* ; Animals

Objective To investigate the role of Glycoprotein non-metastatic melanoma protein B(GPNMB)in hypoxia-induced epithelial-mesenchymal transition(EMT)in human chorionic trophoblast HTR-8/SVneo cells.Methods HTR-8/SVneo cells were cultured in vitro to investigate the effect of hypoxia on GPNMB expression.The cells were transfected with either a GPNMB overexpression plasmid(pcDNA3.1-GPNMB),small interfering RNA targeting GPNMB(si-GPNMB-1/2),or their respective negative controls(pcDNA3.1-NC or si-NC),and were also treated with the autophagy agonist rapamycin(Rap).The experimental groups were categorized as follows:Normoxia,Hypoxia,Normoxia/Hypoxia+si-NC or si-GPNMB,Normoxia/Hypoxia+pcDNA3.1-NC or pcDNA3.1-GPNMB,Normoxia/Hypoxia+Rap,and Hypoxia+Rap+pcDNA3.1-NC or pcDNA3.1-GPNMB.GPNMB expression levels were evaluated using qRT-PCR,Western blotting,and immunofluorescence staining.The expression of autophagy-related proteins(LC3B Ⅱ/Ⅰ,p62)and epithelial-mesenchymal transition(EMT)markers(E-cadherin,N-cadherin)was analyzed by Western blotting.Cell migration and invasion capacities were assessed using wound healing and Transwell assays.Results Compared with the Normoxia group,the mRNA and protein levels of GPNMB were downregulated in the Hypoxia group.Additionally,the protein levels of p62 and N-cadherin were reduced,while LC3B Ⅱ/Ⅰ and E-cadherin expression levels were increased(P<0.05).Compared with the Hypoxia+si-NC group,the Hypoxia+si-GPNMB-2 group showed significantly decreased protein levels of p62 and N-cadherin,along with elevated levels of LC3B Ⅱ/Ⅰ and E-cadherin(P<0.05).Compared with the Hypoxia+pcDNA3.1-NC group,the Hypoxia+pcDNA3.1-GPNMB group exhibited opposite trends.Notably,compared with the Hypoxia group,the Hypoxia+Rap group showed increased LC3B Ⅱ/Ⅰ and E-cadherin levels,accompanied by reduced p62 and N-cadherin levels(P<0.05).However,compared with the Hypoxia+pcDNA3.1-GPNMB group,the Hypoxia+Rap+pcDNA3.1-GPNMB group attenuated the promoting effect of GPNMB overexpression on EMT in HTR-8/SVneo cells,as evidenced by decreased p62 and N-cadherin protein expression levels and increased LC3BⅡ/Ⅰ and E-cadherin protein expression levels(P<0.05).Conclusion In hypoxia-induced HTR-8/SVneo cells,GPNMB inhibits autophagy,promotes the epithelial-mesenchymal transition,and enhances cell migration and invasion.

Purpose: The genomic characteristics of uterine sarcomas have not been fully elucidated. This study aimed to explore the genomic landscape of the uterine sarcomas (USs). Materials and Methods: Comprehensive genomic analysis through RNA-sequencing was conducted. Gene fusion, differentially expressed genes (DEGs), signaling pathway enrichment, immune cell infiltration, and prognosis were analyzed. A deep learning model was constructed to predict the survival of US patients. Results: A total of 71 US samples were examined, including 47 endometrial stromal sarcomas (ESS), 18 uterine leiomyosarcomas (uLMS), three adenosarcomas, two carcinosarcomas, and one uterine tumor resembling an ovarian sex-cord tumor. ESS (including high-grade ESS [HGESS] and low-grade ESS [LGESS]) and uLMS showed distinct gene fusion signatures; a novel gene fusion site, MRPS18A–PDC-AS1 could be a potential diagnostic marker for the pathology differential diagnosis of uLMS and ESS; 797 and 477 uterine sarcoma DEGs (uDEGs) were identified in the ESS vs. uLMS and HGESS vs. LGESS groups, respectively. The uDEGs were enriched in multiple pathways. Fifteen genes including LAMB4 were confirmed with prognostic value in USs; immune infiltration analysis revealed the prognositic value of myeloid dendritic cells, plasmacytoid dendritic cells, natural killer cells, macrophage M1, monocytes and hematopoietic stem cells in USs; the deep learning model named Max-Mean Non-Local multi-instance learning (MMN-MIL) showed satisfactory performance in predicting the survival of US patients, with the area under the receiver operating curve curve reached 0.909 and accuracy achieved 0.804. Conclusion USs harbored distinct gene fusion characteristics and gene expression features between HGESS, LGESS, and uLMS. The MMN-MIL model could effectively predict the survival of US patients.

Objective To analyze the nonlinear relationship between hypothermic machine perfusion (HMP) parameters and delayed graft function (DGF) and optimize the construction of a predictive model for DGF. Methods The data of 923 recipients who underwent kidney transplantation from deceased donors were retrospectively analyzed. According to the occurrence of DGF, the recipients were divided into DGF group (n=823) and non-DGF group (n=100). Donor data, HMP parameters and recipient data were analyzed for both groups. The nonlinear relationship between HMP parameters and the occurrence of DGF was explored based on restricted cubic splines (RCS). Over-sampling, under-sampling and balanced sampling were used to address the imbalance in the proportion of DGF to construct logistic regression predictive models. The area under the curve (AUC) of each model was compared in the validation set, and a nomogram model was constructed. Results Donor BMI, cold ischemia time of the donor kidney, and HMP parameters (initial and final pressures, resistance, and perfusion time) were significantly different between the DGF and non-DGF groups (all P<0.05). The RCS analysis revealed a threshold-like nonlinear relationship between HMP parameters and the risk of DGF. Among the models constructed using different sampling methods, the balanced sampling model had the highest AUC. Using this model, a nomogram was constructed to stratify recipients based on risk scores. Recipients in the high-risk group had higher serum creatinine levels at 1, 6, and 12 months after kidney transplantation compared to those in the low-risk group (all P<0.05). Conclusions There is a nonlinear relationship between HMP parameters and the risk of DGF, and the threshold is helpful for organ quality assessment and monitoring of graft function after transplantation. The predictive model for DGF constructed on the base of balanced sampling algorithms helps perioperative decision-making and postoperative graft function monitoring of kidney transplantation.