Objective:To screen differentially expressed circular RNAs(circRNA)associated with lymph node metastasis in cervical cancer and investigate their molecular mechanism and biological function.Methods:Cancer tissue samples were collected from 40 cervical cancer patients(20 with lymph node metastasis and 20 without lymph node metastasis).Three specimens were randomly selected from each group,and the circRNA expression profile was analyzed using high-throughput sequencing technology,and perform KEGG and GO enrichment analy-sis was performed on the differentially expressed circRNA derived mother genes.Real-time fluorescence quantita-tive PCR(qRT-PCR)technology was used to validate four significantly upregulated circRNAs with high differential multiples,and a ceRNA network was constructed for database prediction.The relationship between circRNA with the most significant differential expression and clinical pathological features was analyzed.Transfect circRNA small interfering RNA(siRNA)into cervical cancer cell lines.Cell lines were divided into circRNA knockdown group and negative control(si-NC)group.The proliferation of SiHa cells and HeLa cells in cervical cancer was detected by Cell Counting Kit-8(CCK-8).Results:①A total of 2039 differentially expressed circRNAs were detec-ted.The differentially expressed circRNA derived mother genes are mainly enriched in ubiquitin mediated protein hydrolysis,MAPK signaling pathway,endocytosis,apoptosis and other signaling pathways.②Four significantly up-regulated circRNAs with high differential multiples in the transfer group were selected,which are hsa_circ_0067492,hsa_circ_0004904,hsa_circ_0085465,and hsa_circ_0007718.qRT-PCR showed that hsa_circ_0004904,hsa_circ_0085465,and hsa_circ_0007718 were all highly expressed in cervical cancer tissues with lymph node metas-tasis(P<0.01).Hsa_circ_0004904 could interact with microRNAs(miRNAs)such as hsa-miR-3916.Hsa_circ_0085465 could interact with miRNAs such as hsa-miR-4659b-3p,and hsa_circ_0007718 could interact with miRNAs such as hsa-miR-127-5p.③The high and low expression groups of hsa_circ_0004904 showed statistically signigi-cant differences in lymph node metastasis and lymphovascular invasion status(P<0.05).Compared with the si-NC group,the proliferation ability of SiHa cells and HeLa cells was significantly reduced after transfection with hsa_circ_0004904 at 24,48,and 72 hours(P<0.05).Conclusions:Differentially expressed circRNAs were identi-fied in cervical cancer patients with lymph node metastasis.Silencing these circRNAs significantly inhibited the proliferation of cervical cancer cells,suggesting their potential involvement in the progression of lymph node me-tastasis.These circRNAs may serve as specific biomarkers for predicting lymph node metastasis.

Objective To explore the application effect of personalized osteotomy guide plate in high tibial osteotomy for patients with knee osteoarthritis(KOA).Methods A total of 99 patients with KOA who underwent open wedge high tibial osteotomy(OWHTO)in our hospital from January 2022 to January 2023 were selected and randomly divided into a study group(50 cases)and a control group(49 cases)using a random number table method.The control group received traditional medial OWHTO treatment,and the study group received a combination of medial OWHTO and personalized osteotomy guide plate treatment.The indexes of operation and postoperative rehabilitation,serum inflammatory stress factor[C-reactive protein(CRP),tumor necrosis factor-α(TNF-α),cortisol(Cor),adrenocorticotropin(ACTH)],anatomical structure of knee joint[tibial plateau posterior Angle(PTSA),proximal medial tibial Angle(MPT A),hip knee ankle Angle(HKA)],knee function,ACL shape and function,postoperative complications were compared between the two groups.Results The amount of bleeding,the number of intraoperative fluoroscopy,and the postoperative drainage volume in the study group were(138.69±24.03)ml,(4.83±1.07)times,and(228.95±38.72)ml,respectively,which were all less than those in the control group(154.28±27.16)ml,(7.15±1.14)times,and(271.61±42.19)ml.In the study group,the operation time,incision length,and hospitalization time were(40.96±7.28)min,(8.96±0.85)cm,and(10.73±2.05)d,respectively,which were all shorter than those in the control group[(52.31±10.12)min,(9.51±1.03)cm,and(12.16±2.37)d],with statistically significant differences(P＜0.05).The levels of serum CRP,TNF-α,Cor,and ACTH in the study group on the 3rd day after the operation were(31.36±4.68)mg/L,(26.71±3.84)ng/ml,(241.28±27.45)ng/ml,and(18.65±3.01)pmol/L,respectively,which were lower than those in the control group[(35.07±5.16)mg/L,(30.29±4.15)ng/ml,(279.65±30.12)ng/ml,and(21.73±3.28)pmol/L,respectively],and the differences were statistically significant(P＜0.05).The Hospital for Special Surgery(HSS)knee score and Knee Society Score(KSS)of the study group at 12 months after surgery were(81.24±6.85)points and(78.26±6.14)points,respectively,which were higher than those of the control group[(78.08±6.42)points and(75.53±5.82)points,respectively],with statistically significant differences(P＜0.05);at the 12th month after surgery,the width of the ACL body in the study group was(5.68±0.71)mm,which was greater than that in the control group[(5.12±0.64)mm].The amount of anterior tibial displacement was(5.81±0.43)mm,which was smaller than that in the control group(6.19±0.41)mm,and the differences were statistically significant(P＜0.05);the incidence of postoperative complications in the study group was 4.00％,which was lower than that in the control group(18.37％),and the difference was statistically significant(P＜0.05).Conclusion The combined treatment of medial OWHTO and personalized osteotomy guide plate can reduce surgical trauma in patients with KOA,lower the incidence of complications,facilitate patient recovery,while maintaining the morphology and function of the ACL,and improving prognosis.

Objective:To screen differentially expressed circular RNAs(circRNA)associated with lymph node metastasis in cervical cancer and investigate their molecular mechanism and biological function.Methods:Cancer tissue samples were collected from 40 cervical cancer patients(20 with lymph node metastasis and 20 without lymph node metastasis).Three specimens were randomly selected from each group,and the circRNA expression profile was analyzed using high-throughput sequencing technology,and perform KEGG and GO enrichment analy-sis was performed on the differentially expressed circRNA derived mother genes.Real-time fluorescence quantita-tive PCR(qRT-PCR)technology was used to validate four significantly upregulated circRNAs with high differential multiples,and a ceRNA network was constructed for database prediction.The relationship between circRNA with the most significant differential expression and clinical pathological features was analyzed.Transfect circRNA small interfering RNA(siRNA)into cervical cancer cell lines.Cell lines were divided into circRNA knockdown group and negative control(si-NC)group.The proliferation of SiHa cells and HeLa cells in cervical cancer was detected by Cell Counting Kit-8(CCK-8).Results:①A total of 2039 differentially expressed circRNAs were detec-ted.The differentially expressed circRNA derived mother genes are mainly enriched in ubiquitin mediated protein hydrolysis,MAPK signaling pathway,endocytosis,apoptosis and other signaling pathways.②Four significantly up-regulated circRNAs with high differential multiples in the transfer group were selected,which are hsa_circ_0067492,hsa_circ_0004904,hsa_circ_0085465,and hsa_circ_0007718.qRT-PCR showed that hsa_circ_0004904,hsa_circ_0085465,and hsa_circ_0007718 were all highly expressed in cervical cancer tissues with lymph node metas-tasis(P<0.01).Hsa_circ_0004904 could interact with microRNAs(miRNAs)such as hsa-miR-3916.Hsa_circ_0085465 could interact with miRNAs such as hsa-miR-4659b-3p,and hsa_circ_0007718 could interact with miRNAs such as hsa-miR-127-5p.③The high and low expression groups of hsa_circ_0004904 showed statistically signigi-cant differences in lymph node metastasis and lymphovascular invasion status(P<0.05).Compared with the si-NC group,the proliferation ability of SiHa cells and HeLa cells was significantly reduced after transfection with hsa_circ_0004904 at 24,48,and 72 hours(P<0.05).Conclusions:Differentially expressed circRNAs were identi-fied in cervical cancer patients with lymph node metastasis.Silencing these circRNAs significantly inhibited the proliferation of cervical cancer cells,suggesting their potential involvement in the progression of lymph node me-tastasis.These circRNAs may serve as specific biomarkers for predicting lymph node metastasis.

Objective To explore the application effect of personalized osteotomy guide plate in high tibial osteotomy for patients with knee osteoarthritis(KOA).Methods A total of 99 patients with KOA who underwent open wedge high tibial osteotomy(OWHTO)in our hospital from January 2022 to January 2023 were selected and randomly divided into a study group(50 cases)and a control group(49 cases)using a random number table method.The control group received traditional medial OWHTO treatment,and the study group received a combination of medial OWHTO and personalized osteotomy guide plate treatment.The indexes of operation and postoperative rehabilitation,serum inflammatory stress factor[C-reactive protein(CRP),tumor necrosis factor-α(TNF-α),cortisol(Cor),adrenocorticotropin(ACTH)],anatomical structure of knee joint[tibial plateau posterior Angle(PTSA),proximal medial tibial Angle(MPT A),hip knee ankle Angle(HKA)],knee function,ACL shape and function,postoperative complications were compared between the two groups.Results The amount of bleeding,the number of intraoperative fluoroscopy,and the postoperative drainage volume in the study group were(138.69±24.03)ml,(4.83±1.07)times,and(228.95±38.72)ml,respectively,which were all less than those in the control group(154.28±27.16)ml,(7.15±1.14)times,and(271.61±42.19)ml.In the study group,the operation time,incision length,and hospitalization time were(40.96±7.28)min,(8.96±0.85)cm,and(10.73±2.05)d,respectively,which were all shorter than those in the control group[(52.31±10.12)min,(9.51±1.03)cm,and(12.16±2.37)d],with statistically significant differences(P＜0.05).The levels of serum CRP,TNF-α,Cor,and ACTH in the study group on the 3rd day after the operation were(31.36±4.68)mg/L,(26.71±3.84)ng/ml,(241.28±27.45)ng/ml,and(18.65±3.01)pmol/L,respectively,which were lower than those in the control group[(35.07±5.16)mg/L,(30.29±4.15)ng/ml,(279.65±30.12)ng/ml,and(21.73±3.28)pmol/L,respectively],and the differences were statistically significant(P＜0.05).The Hospital for Special Surgery(HSS)knee score and Knee Society Score(KSS)of the study group at 12 months after surgery were(81.24±6.85)points and(78.26±6.14)points,respectively,which were higher than those of the control group[(78.08±6.42)points and(75.53±5.82)points,respectively],with statistically significant differences(P＜0.05);at the 12th month after surgery,the width of the ACL body in the study group was(5.68±0.71)mm,which was greater than that in the control group[(5.12±0.64)mm].The amount of anterior tibial displacement was(5.81±0.43)mm,which was smaller than that in the control group(6.19±0.41)mm,and the differences were statistically significant(P＜0.05);the incidence of postoperative complications in the study group was 4.00％,which was lower than that in the control group(18.37％),and the difference was statistically significant(P＜0.05).Conclusion The combined treatment of medial OWHTO and personalized osteotomy guide plate can reduce surgical trauma in patients with KOA,lower the incidence of complications,facilitate patient recovery,while maintaining the morphology and function of the ACL,and improving prognosis.

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.

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.