1.Predictive value of preoperative plasma fibrinogen combined with lymphocyte-to-monocyte ratio in the prognosis of patients with esophageal squamous cell carcinoma
Xianneng HE ; Yishun XIANG ; Yunfeng LI ; Chengbin LIN ; Weiyu SHEN
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery 2026;33(04):570-577
Objective To investigate the prognostic value of preoperative plasma fibrinogen (FIB) combined with lymphocyte-to-monocyte ratio (LMR) in predicting the prognosis of patients with esophageal squamous cell carcinoma (ESCC). Methods A retrospective analysis was conducted on ESCC patients who underwent esophagectomy in the Affiliated Lihuili Hospital of Ningbo University from 2015 to 2018. Based on the cut-off values of preoperative FIB and LMR, the F-LMR scoring system was constructed, and patients were divided into three groups according to the F-LMR score. Kaplan-Meier analysis was used to assess 5-year overall survival (OS) and 5-year progression free survival (PFS), and univariate and multivariate Cox regression analyses were performed to identify prognostic factors. Results Finally 260 patients were collected, including 237 males and 23 females, with a median age of 64 years (IQR: 59-70). The 5-year OS rates for patients with F-LMR score of 0, 1, and 2 were 24.44%, 51.69%, and 67.31%, respectively, and the 5-year PFS rates were 15.56%, 42.37%, and 57.62%, respectively. Lower preoperative F-LMR scores were associated with worse prognosis. Multivariate analysis showed that deeper tumor invasion, presence of lymph node metastasis, larger tumor maximum diameter, and lower preoperative F-LMR score were independent risk factors for OS. Conclusion The F-LMR scoring system based on the preoperative FIB and LMR may serve as an effective tool for predicting the prognosis of patients with ESCC.
2.Construction of a Prognostic Prediction Model of Patients with Pathologic N0 in Resected Invasive Mucinous Adenocarcinoma of the Lung
WANG ZHENG ; HE JINXIAN ; SHEN HAIBO ; CHEN XIAOHAN ; LIN CHENGBIN ; YU HONGYAN ; GAO JIAJUN ; HE XIANNENG ; SHEN WEIYU
Chinese Journal of Lung Cancer 2024;27(1):47-55
Background and objective Invasive mucinous adenocarcinoma(IMA)was a rare and specific type of lung adenocarcinoma,which was often characterized by fewer lymphatic metastases.Therefore,it was difficult to evaluate the prognosis of these tumors based on the existing tumor-node-metastasis(TNM)staging.So,this study aimed to develop Nomo-grams to predict outcomes of patients with pathologic N0 in resected IMA.Methods According to the inclusion criteria and exclusion criteria,IMA patients with pathologic N0 in The Affiliated Lihuili Hospital of Ningbo University(training cohort,n=78)and Ningbo No.2 Hospital(validation cohort,n=66)were reviewed between July 2012 and May 2017.The prognostic value of the clinicopathological features in the training cohort was analyzed and prognostic prediction models were established,and the performances of models were evaluated.Finally,the validation cohort data was put in for external validation.Results Univariate analysis showed that pneumonic type,larger tumor size,mixed mucinous/non-mucinous component,and higher overall stage were significant influence factors of 5-year progression-free survival(PFS)and overall survival(OS).Multivariate analysis further indicated that type of imaging,tumor size,mucinous component were the independent prognostic factors for poor 5-year PFS and OS.Moreover,the 5-year PFS and OS rates were 62.82%and 75.64%,respectively.In subgroups,the sur-vival analysis also showed that the pneumonic type and mixed mucinous/non-mucinous patients had significantly poorer 5-year PFS and OS compared with solitary type and pure mucinous patients,respectively.The C-index of Nomograms with 5-year PFS and OS were 0.815(95%CI:0.741-0.889)and 0.767(95%CI:0.669-0.865).The calibration curve and decision curve analysis(DCA)of both models showed good predictive performances in both cohorts.Conclusion The Nomograms based on clinicopathological characteristics in a certain extent,can be used as an effective prognostic tool for patients with pathologic N0 after IMA resection.

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