Objective To explore the effect and mechanism of keratin 17(KRT17)on proliferation of human esophageal squamous cell line KYSE-150.Methods The correlation of KRT17 expression with the disease stage and survival of patients with esophageal squamous cell carcinoma was analyzed by GEPIA2 website.Human esophageal squamous cell line KYSE-150 was divided into control group,si-NC group,si-KRT17 group and activator group.Small interfering RNA of si-NC and si-KRT17 were transfected into cells of si-NC group and si-KRT17 group,re-spectively.Cells in the activator group were transfected with si-KRT17 and treated with 740 Y-P(PI3K/AKT/mTOR pathway activator)with a final concentration of 30 μmol/L in the medium.The cell proliferation was detec-ted by CCK-8 assay.The clonal formation was detected by clonal formation experiment.The apoptosis was detected by TUNEL staining.The cell cycle was detected by flow cytometry.The cell migration and invasion were detected by Transwell assay.The contents of glucose,lactic acid and pyruvate in cell supernatant were detected by commercially available kits.The expression of KRT17 mRNA was detected by qRT-PCR.And the expression of KRT17,GLUT1,PDK1 and LDHA,p-PI3K,PI3K,p-AKT,AKT,p-mTOR and mTOR protein were detected by Western blot.Results The expression level of KRT17 in esophageal squamous cell carcinoma tissues was significantly higher than that in normal tissues(P＜0.05).There was a statistically significant correlation between the expression level of KRT17 and the stage of esophageal squamous cell carcinoma(P＜0.05).The survival prognosis of patients with low KRT17 expression was better than that of patients with high KRT17 expression(P＜0.05).Compared with control group or si-NC group,the mRNA and protein expression of KRT17 in si-KRT17 group were decreased(P＜0.05),and the cell proliferation activity,number of clone formation,migration and invasion cells were de-creased(P＜0.05).And the lactic acid content,protein expression levels of GLUT1,PDK1 and LDHA were de-creased(P＜0.05),values of p-PI3K/PI3K,p-Akt/AKT and p-mTOR/mTOR were decreased(P＜0.05).The proportion of cells in G0/G1 phase,TUNEL positive rate,and contents of glucose and pyruvate were increased(P＜0.05).Compared with si-KRT17 group,the mRNA and protein expression levels of KRT17 in activator group were increased(P＜0.05),and the cell proliferation activity,number of clone formation,migration and in-vasion cells were increased(P＜0.05).And the lactic acid content,protein expression levels of GLUT1,PDK1 and LDHA were increased(P＜0.05),the values of p-PI3K/PI3K,p-Akt/AKT and p-mTOR/mTOR were in-creased(P＜0.05).The proportion of cells in G0/G1 phase,TUNEL positive rate,and contents of glucose and pyruvate were decreased(P＜0.05).Conclusions KRT17 is highly expressed in esophageal squamous cell car-cinoma tissues and cells.Silencing KRT17 inhibits proliferation,migration and invasion of human esophageal squamous cell line KYSE-150,and promotes apoptosis and cell cycle arrest.

Objective To discuss the accuracy and effectiveness of digital subtraction angiography(DSA)in determining the cause of limb ischemia after extra corporeal membrane oxygenation(ECMO.Methods The clinical data of 3 child patients,who developed 4 times of acute limb ischemia during perioperative period of ECMO at the Affiliated Children's Hospital of Zhengzhou University of China from July to October of 2023,were retrospectively analyzed.In all the child patients,emergency angiography was carried out to quickly identify the cause,then,appropriate treatment plan was adopted to open the blood vessels of the right lower limb.Results After the child patients entered the operating room and received DSA examination,the causes of the limb ischemia were quickly identified.After treatment,the blood supply to the lower limbs was restored.Except for one child who experienced irreversible necrosis of the distal limb due to repeated ischemia-reperfusion injury and required amputation,the other two child patients recovered well.Conclusion It is of great significance to perform DSA examination as soon as possible when the child patients develop limb ischemic manifestations after ECMO so as to quickly identify the cause,promptly restore blood supply to ischemic limbs and increase limb preservation rate,besides,DSA examination can also be used as a preventive measure for child patients after ECMO.

Objective To explore the safety and efficacy of semiconductor laser combined with sclerotherapy in the treatment of venous malformations(VM)in child patients.Methods The clinical data of 68 child patients with VM,who were admitted to the Affiliated Children's Hospital of Zhengzhou University of China from April 2023 to April 2024,were retrospectively analyzed.The child patients were divided into semiconductor laser combined with sclerotherapy group(laser+sclerotherapy group)and simple sclerotherapy group(sclerotherapy group),with 34 child patients in each group.The reduction rate of lesion size and the incidence of complications were compared between the two groups.Results The total effective rate and significant effective rate in the laser+sclerotherapy group were 100％ and 79.41％(27/34)respectively,which were higher than 82.35％(28/34)and 29.41％(10/34)respectively in the sclerotherapy group.The incidences of blister and pigmentation complications in the laser+sclerotherapy group were 11.76％(4/34)and 14.71％(5/34)respectively,which were lower than 41.18％(14/34)and 38.24％(13/34)respectively in the sclerotherapy group,and the differences between the two groups were statistically significant(all P＜0.05).Conclusion In treating child patients with VM,the combination use of semiconductor laser and sclerotherapy has higher clinical safety and effectiveness.

Objective To discuss the application value of intracavitary semiconductor laser therapy in improving facial appearance for child patients with facial venous malformations(VM)after receiving sclerotherapy.Methods The clinical data of 12 child patients with facial VM after receiving sclerotherapy,for whom the improvement of their facial appearance was difficult and who were admitted to the Affiliated Children's Hospital of Zhengzhou University of China from February 2023 to February 2024,were retrospectively analyzed.Intracavitary semiconductor laser treatment was adopted in all the 12 child patients.All the child patients were followed up to check the degree of appearance improvement and lesion volume reduction,and the curative effect was evaluated.Results Three months after intracavitary semiconductor laser treatment,obvious improvement of facial appearance was obtained in all the 12 child patients.The mean postoperative PAC-QOL psychological discomfort score was(10.4±3.9)points,when compared with the preoperative(23.7±4.3)points the difference was statistically significant(P＜0.05).MRI examination showed that after treatment no obvious improvement of the lesion was seen in 0 case,moderate improvement in one case,significant improvement in 4 cases,and cure in 7 cases.Conclusion Intracavitary semiconductor laser therapy has significant therapeutic effect in improving facial appearance for child patients with facial VM after receiving sclerotherapy,for whom the improvement of their facial appearance is difficult,therefore,this therapy has high clinical application value.

Objective:To analyze the genetic characteristics of the complete genome of a strain of human respiratory syncytial virus (HRSV) in Qinghai province in 2024.Methods:A total of 300 samples were collected during 2024 influenza surveillance in Qinghai province sentinel hospitals from patients with fever accompanied by severe respiratory infection symptoms. We used real-time fluorescent quantitative reverse transcription polymerase chain reaction RT-PCR) method to screen out HRSV subtype B (HRSVB) positive specimens, whole genome sequencing was performed on positivespecimens meeting the requirements for the sequencing. After downloading the global representative HRSVB genotypes at GenBank database, sequence alignment was performed, related evolutionary tree was built and the calculation and analyses of genetic distance were done, analyses of HRSVB sequencing of sequence homology of nucleotides, amino acids and amino acid mutation were performed.Results:The first strain in Qinghai, China/qinghai/2024-03 had a complete sequence of 15 140 bp nucleotides, with HRSV′s all structural characteristics, and subtype HRSVA prototype strain Long strains of nucleotide the lowest homology was 80.0%, and subtype HRSVB prototype strain nucleotide homology was above 94.7%. The result indicated that the first strain in Qinghai belonged to HRSVB subtype. Genetic evolution shows China/qinghai/2024-03 and USA/WA-S23450/2021 (OR326803.1) and Germany/2021 (OR795235.1) all belong to a branch, they have the closest relationship. Phylogenetic analysis of G gene showed that the strain belonged to BA9 genotype of HRSVB subtype, and the hypervariable regions of the genome were SH and G genes.Conclusions:In this study, the complete genome sequence of HRSV China/qinghai/2024-03 was obtained for the first time, and the basic molecular structural characteristics were elucidated, which filled the gaps in the gene and amino acid data of HRSV in our province, and also provided a basis for HRSV epidemiology.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.

Objective:To predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer based on preoperative inflammatory and immune nutritional indicators,and to construct a nomo-gram prediction model,providing a basis and tool for preoperative diagnosis of lymph node metastasis in cervical cancer.Methods:A retrospective analysis was conducted on the clinical data of 307 patients preoperatively diag-nosed with early-stage cervical cancer who underwent surgical treatment at the Obstetrics and Gynecology De-partment of the Second Affiliated Hospital of Zhengzhou University from January 2018 to July 2023.R software was used to randomize the groups into a training set(n=231)and a validation set(n=76)in a 3∶1 ratio.Uni-variate and multivariate logistic regression analyses were employed to identify factors influencing lymph node me-tastasis in patients preoperatively diagnosed with early-stage cervical cancer.R software was used to establish a nomogram prediction model and draw receiver operating characteristic(ROC)curves and calibration curves for validation.Results:① The results of univariate logistic regression analysis showed that positive lymphovascular invasion,platelet-to-lymphocyte ratio(PLR)≥151.70,neutrophil-to-white blood cell ratio(NWR)≥0.65,plate-let-to-albumin ratio(PAR)≥ 4.94,preoperative systemic immune-inflammation index(SII)≥604.03,and sys-temic inflammatory response index(SIRI)≥ 1.05 were associated with lymph node metastasis(P＜0.05).②Multivariate logistic regression analysis found that positive lymphovascular invasion,NWR≥0.65,and PAR≥4.94 were independent risk factors for lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer(OR＞1,P＜0.05).③ A nomogram was constructed to predict lymph node metastasis in patients preoperatively diagnosed with early-stage cervical cancer.The ROC curve shows an area under the train-ing set curve(AUC)of 0.821 and a validation set AUC of 0.858.The calibration curve shows an average abso-lute error of 0.024 for the training set and 0.059 for the validation set.Conclusions:The prediction model for lymph node metastasis in cervical cancer constructed using preoperative inflammatory and immune nutritional indi-cators such as NWR,PAR is helpful for gynecological oncologists to predict lymph node metastasis in cervical cancer patients before surgery.