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1.
Chinese Journal of Surgery ; (12): 321-329, 2023.
Article in Chinese | WPRIM | ID: wpr-970210

ABSTRACT

Objectives: To construct a nomogram for prediction of intrahepatic cholangiocarcinoma (ICC) lymph node metastasis based on inflammation-related markers,and to conduct its clinical verification. Methods: Clinical and pathological data of 858 ICC patients who underwent radical resection were retrospectively collected at 10 domestic tertiary hospitals in China from January 2010 to December 2018. Among the 508 patients who underwent lymph node dissection,207 cases had complete variable clinical data for constructing the nomogram,including 84 males,123 females,109 patients≥60 years old,98 patients<60 years old and 69 patients were pathologically diagnosed with positive lymph nodes after surgery. Receiver operating characteristic curve was drawn to calculate the accuracy of preoperative imaging examinations to determine lymph node status,and the difference in overall survival time was compared by Log-rank test. Partial regression squares and statistically significant preoperative variables were screened by backward stepwise regression analysis. R software was applied to construct a nomogram,clinical decision curve and clinical influence curve,and Bootstrap method was used for internal verification. Moreover,retrospectively collecting clinical information of 107 ICC patients with intraoperative lymph node dissection admitted to 9 tertiary hospitals in China from January 2019 to June 2021 was for external verification to verify the accuracy of the nomogram. 80 patients with complete clinical data but without lymph node dissection were divided into lymph node metastasis high-risk group and low-risk group according to the score of the nomogram among the 858 patients. Log-rank test was used to compare the overall survival of patients with or without lymph node metastasis diagnosed by pathology. Results: The area under the curve of preoperative imaging examinations for lymph node status assessment of 440 patients was 0.615,with a false negative rate of 62.8% (113/180) and a false positive rate of 14.2% (37/260). The median survival time of 207 patients used to construct a nomogram with positive or negative postoperative pathological lymph node metastases was 18.5 months and 27.1 months,respectively (P<0.05). Five variables related to lymph node metastasis were screened out by backward stepwise regression analysis,which were combined calculi,neutrophil/lymphocyte ratio,albumin,liver capsule invasion and systemic immune inflammation index,according to which a nomogram was constructed with concordance index(C-index) of 0.737 (95%CI: 0.667 to 0.806). The C-index of external verification was 0.674 (95%CI:0.569 to 0.779). The calibration prediction curve was in good agreement with the reference curve. The results of the clinical decision curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.32,the maximum net benefit could be obtained by 0.11,and the cost/benefit ratio was 1∶2. The results of clinical influence curve showed that when the risk threshold of high lymph node metastasis in the nomogram was set to about 0.6,the probability of correctly predicting lymph node metastasis could reach more than 90%. There was no significant difference in overall survival time between patients with high/low risk of lymph node metastasis assessed by the nomogram and those with pathologically confirmed lymph node metastasis or without lymph node metastasis (Log-rank test:P=0.082 and 0.510,respectively). Conclusion: The prediction accuracy of preoperative nomogram for ICC lymph node metastasis based on inflammation-related markers is satisfactory,which can be used as a supplementary method for preoperative diagnosis of lymph node metastasis and is helpful for clinicians to make personalized decision of lymph node dissection for patients with ICC.

2.
Chinese Journal of Surgery ; (12): 313-320, 2023.
Article in Chinese | WPRIM | ID: wpr-970209

ABSTRACT

Objective: To establish a predictive model for survival benefit of patients with intrahepatic cholangiocarcinoma (ICC) who received adjuvant chemotherapy after radical resection. Methods: The clinical and pathological data of 249 patients with ICC who underwent radical resection and adjuvant chemotherapy at 8 hospitals in China from January 2010 to December 2018 were retrospectively collected. There were 121 males and 128 females,with 88 cases>60 years old and 161 cases≤60 years old. Feature selection was performed by univariate and multivariate Cox regression analysis. Overall survival time and survival status were used as outcome indicators,then target clinical features were selected. Patients were stratified into high-risk group and low-risk group,survival differences between the two groups were analyzed. Using the selected clinical features, the traditional CoxPH model and deep learning DeepSurv survival prediction model were constructed, and the performance of the models were evaluated according to concordance index(C-index). Results: Portal vein invasion, carcinoembryonic antigen>5 μg/L,abnormal lymphocyte count, low grade tumor pathological differentiation and positive lymph nodes>0 were independent adverse prognostic factors for overall survival in 249 patients with adjuvant chemotherapy after radical resection (all P<0.05). The survival benefit of adjuvant chemotherapy in the high-risk group was significantly lower than that in the low-risk group (P<0.05). Using the above five features, the traditional CoxPH model and the deep learning DeepSurv survival prediction model were constructed. The C-index values of the training set were 0.687 and 0.770, and the C-index values of the test set were 0.606 and 0.763,respectively. Conclusion: Compared with the traditional Cox model, the DeepSurv model can more accurately predict the survival probability of patients with ICC undergoing adjuvant chemotherapy at a certain time point, and more accurately judge the survival benefit of adjuvant chemotherapy.

3.
Chinese Journal of Surgery ; (12): 277-282, 2023.
Article in Chinese | WPRIM | ID: wpr-970204

ABSTRACT

Biliary tract cancer is extremely malignant with a poor prognosis. At the moment, the only curative method available is radical resection. Targeted and immunotherapy are currently advancing quickly, but chemotherapy still holds a key role in the perioperative management of biliary cancer. Perioperative chemotherapy aims to decrease tumor volume before surgery so that patients can have their tumors surgically removed or have a higher radical resection rate. It also aims to remove any tumor cells that remain after surgery and prevent the growth of new tumors. Chemotherapy-based combination treatment techniques have been increasingly investigated in recent years to improve perioperative care and patient survival. From the standpoint of chemotherapy regimens and clinical trial success in the perioperative phase of radical surgery, the value of chemotherapy in the perioperative period of biliary tract cancer were explored in this paper.

4.
Chinese Journal of Surgery ; (12): 343-350, 2022.
Article in Chinese | WPRIM | ID: wpr-935609

ABSTRACT

Biliary tract cancer has insidious onset and high degree of malignancy, and radical resection is often impossible when it is diagnosed.Conversion therapy can achieve tumor downgrading, so that patients who were initially unresectable have a chance to achieve R0 resection.However, due to the high heterogeneity and complex immune microenvironment of biliary tract cancer, conversion therapy is still in the stage of active exploration.As a new type of conversion therapy, combination of targeted therapy and immunotherapy is of great significance to effectively improve the efficiency of conversion therapy.Further exploration of combination mechanism and improvement of immune microenvironment are expected to become the future direction of combination of targeted therapy and immunotherapy.


Subject(s)
Humans , Antineoplastic Combined Chemotherapy Protocols , Biliary Tract Neoplasms/surgery , Combined Modality Therapy , Gastrectomy , Immunotherapy , Tumor Microenvironment
5.
Journal of Zhejiang University. Science. B ; (12): 291-304, 2020.
Article in English | WPRIM | ID: wpr-1010535

ABSTRACT

OBJECTIVE@#To provide comprehensive data to understand mechanisms of vascular endothelial cell (VEC) response to hypoxia/re-oxygenation.@*METHODS@#Human umbilical vein endothelial cells (HUVECs) were employed to construct hypoxia/re-oxygenation-induced VEC transcriptome profiling. Cells incubated under 5% O2, 5% CO2, and 90% N2 for 3 h followed by 95% air and 5% CO2 for 1 h were used in the hypoxia/re-oxygenation group. Those incubated only under 95% air and 5% CO2 were used in the normoxia control group.@*RESULTS@#By using a well-established microarray chip consisting of 58 339 probes, the study identified 372 differentially expressed genes. While part of the genes are known to be VEC hypoxia/re-oxygenation-related, serving as a good control, a large number of genes related to VEC hypoxia/re-oxygenation were identified for the first time. Through bioinformatic analysis of these genes, we identified that multiple pathways were involved in the reaction. Subsequently, we applied real-time polymerase chain reaction (PCR) and western blot techniques to validate the microarray data. It was found that the expression of apoptosis-related proteins, like pleckstrin homology-like domain family A member 1 (PHLDA1), was also consistently up-regulated in the hypoxia/re-oxygenation group. STRING analysis found that significantly differentially expressed genes SLC38A3, SLC5A5, Lnc-SLC36A4-1, and Lnc-PLEKHJ1-1 may have physical or/and functional protein-protein interactions with PHLDA1.@*CONCLUSIONS@#The data from this study have built a foundation to develop many hypotheses to further explore the hypoxia/re-oxygenation mechanisms, an area with great clinical significance for multiple diseases.


Subject(s)
Humans , Cell Hypoxia , Cells, Cultured , Computational Biology , Human Umbilical Vein Endothelial Cells/metabolism , Microarray Analysis/methods , Transcription Factors/genetics , Transcriptome
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