A nomogram to predict conversion of laparoscopic surgery to laparotomy for Choledocholithiasis.

BACKGROUND: Laparoscopic surgery is effective for treating common bile duct (CBD) stones. However, it has high requirements for surgeons and the risk of conversion to laparotomy cannot be ignored. However, when conditions during surgery are not favorable, persisting with laparoscopic procedures blindly can lead to serious complications. Our study aimed to establish a nomogram model for predicting conversion of laparoscopic to laparotomy for choledocholithiasis. MATERIALS AND METHODS: A total of 867 patients who were diagnosed with choledocholithiasis and underwent laparoscopic surgery were randomly divided into a training group (70%, n = 607) and a validation group (30%, n = 260). A nomogram was constructed based on the results of logistic regression analysis. The area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA) were used to assess the predictive performance of the nomogram. RESULTS: Previous upper abdominal surgery, maximum diameter of stone ≥12 mm, medial wall of the duodenum stone, thickening of the gallbladder wall, thickening of CBD wall, stone size/CBD size ≥0.75, and simultaneous laparoscopic hepatectomy were included in the nomogram. The AUC values were 0.813 (95% CI: 0.766-0.861) and 0.804 (95% CI: 0.737-0.871) in the training and validation groups, respectively. The calibration curve showed excellent consistency between the nomogram predictions and actual observations. DCA showed a positive net benefit for the nomogram. CONCLUSIONS: We constructed a nomogram with a good ability to predict conversion to open surgery in laparoscopic surgery for choledocholithiasis, which can help surgeons to make a reasonable operation plan before surgery and timely convert to laparotomy during operation to reduce potential harm to the patient.

Transarterial Chemoembolization Combined with Atezolizumab Plus Bevacizumab versus Transarterial Chemoembolization Alone in Intermediate-stage Hepatocellular Carcinoma: A Multicenter Retrospective Study.

Purpose: Combining transarterial chemoembolization (TACE) with systemic therapy has shown significant efficacy for intermediate-stage hepatocellular carcinoma (HCC) patients. This study aimed to validate the therapeutic efficacy of TACE combined with atezolizumab and bevacizumab (TACE + Atez/Bev) compared to TACE alone. Methods: A retrospective study was conducted across three centers in China, encompassing 155 patients at the intermediate-stage of HCC. Propensity Score Matching (PSM) was used to minimize selection bias, with a ratio of 1:1. Primary outcomes were TACE-specific Progression-Free Survival (PFS) and Overall Survival (OS). Objective Response Rate (ORR) and Disease Control Rate (DCR) were assessed based on the modified Response Evaluation Criteria in Solid Tumors (mRECIST). Adverse events (AEs) related to treatment were analyzed to evaluate safety. Results: Before PSM, the TACE + Atez/Bev group demonstrated extended median OS (not reached vs 20.3 months, P = 0.004) and PFS (20.0 months vs 9.8 months, P = 0.029) compared to the TACE-alone group. The TACE + Atez/Bev group also had a higher ORR (60.9% vs 41.3%, P = 0.026) and DCR (89.1% vs 58.7%, P < 0.001) than the TACE-alone group. After applying the PSM, the study included 42 pairs of patients. Compared to the TACE-alone group, the combination therapy group also showed significantly longer median OS (not reached vs 21.4 months, P = 0.008) and PFS (21.7 vs 9.7 months, P = 0.009). The combination therapy group also had a higher ORR (66.7% vs 38.1%, P = 0.009) and DCR (92.9% vs 57.1%, P < 0.001). AEs in the combination therapy group were mostly manageable, with the most common being elevated liver transaminase. Conclusion: In treating intermediate-stage HCC, the survival benefit of combining TACE with atezolizumab and bevacizumab was significantly higher than TACE alone, and the treatment was well-tolerated.

A lactate metabolism-related signature predicting patient prognosis and immune microenvironment in ovarian cancer.

Introduction: Ovarian cancer (OV) is a highly lethal gynecological malignancy with a poor prognosis. Lactate metabolism is crucial for tumor cell survival, proliferation, and immune evasion. Our study aims to investigate the role of lactate metabolism-related genes (LMRGs) in OV and their potential as biomarkers for prognosis, immune microenvironment, and immunotherapy response. Methods: Ovarian samples were collected from the TCGA cohort. And 12 lactate-related pathways were identified from the MsigDB database. Differentially expressed genes within these pathways were designated as LMRGs, which undergo unsupervised clustering to identify distinct clusters based on LMRGs. Subsequently, we assessed survival outcomes, immune cell infiltration levels, Hallmaker pathway activation patterns, and chemotaxis among different subtypes. After conducting additional unsupervised clustering based on differentially expressed genes (DEGs), significant differences in the expression of LMRGs between the two clusters were observed. The differentially expressed genes were subjected to subsequent functional enrichment analysis. Furthermore, we construct a model incorporating LMRGs. Subsequently, the lactate score for each tumor sample was calculated based on this model, facilitating the classification of samples into high and low groups according to their respective lactate scores. Distinct groups examined disparities in survival prognosis, copy number variation (CNV), single nucleotide variation (SNV), and immune infiltration. The lactate score served as a quantitative measure of OV's lactate metabolism pattern and an independent prognostic factor. Results: This study investigated the potential role of LMRGs in tumor microenvironment diversity and prognosis in OV, suggesting that LMRGs play a crucial role in OV progression and the tumor microenvironment, thus serving as novel indicators for prognosis, immune microenvironment status, and response to immunotherapy.

New Personal Model for Forecasting the Outcome of Patients with Histological Grade III-IV Colorectal Cancer Based on Regional Lymph Nodes.

Background: Metastases at regional lymph nodes could easily occur in patients with high-histological-grade colorectal cancer (CRC). However, few models were built on the basis of lymph nodes to predict the outcome of patients with histological grades III-IV CRC. Methods: Data in the Surveillance, Epidemiology, and End Results databases were used. Univariate and multivariate analyses were performed. A personalized prediction model was built in accordance with the results of the analyses. A nomogram was tested in two datasets and assessed using a calibration curve, a consistency index (C-index), and an area under the curve (AUC). Results: A total of 14,039 cases were obtained from the database. They were separated into two groups (9828 cases for constructing the model and 4211 cases for validation). Logistic and Cox regression analyses were then conducted. Factors such as log odds of positive lymph nodes (LODDS) were utilized. Then, a personalized prediction model was established. The C-index in the construction and validation groups was 0.770. The 1-, 3-, and 5-year AUCs were 0793, 0.828, and 0.830 in the construction group, respectively, and 0.796, 0.833, and 0.832 in the validation group, respectively. The calibration curves showed well consistency in the 1-, 3- and 5-year OS between prediction and reality in both groups. Conclusion: The nomogram built based on LODDS exhibited considerable reliability and accuracy.

Prognostic Analysis of Lymphovascular Invasion in Stages I-III Colorectal Cancer: A Retrospective Study Based on Propensity Score Match.

INTRODUCTION: Lymphovascular invasion (LVI) is a micropathological tumor factor believed to increase the risk of tumor metastasis and spread. Propensity score matching (PSM) is a statistical method that can control confounding factors. Current research rarely considers the confounding relationship between LVI and other factors that may influence prognosis. This study aimed to investigate the relationship between LVI and prognosis in patients with stage I-III colorectal cancer (CRC) by using propensity score matching (PSM). METHODS: This was a retrospective study involving 610 patients. PSM was used to adjust for baseline differences between the groups. The survival rates were calculated. A nomogram was constructed based on the Cox proportional hazards model before matching. The C-index, receiver operating characteristic curve (ROC), and calibration curve were used to evaluate the nomogram. RESULTS: A total of 150 patients tested positive for LVI, accounting for 24.6% of the total, and 120 couples of patients were identified after PSM. The survival curve and Cox proportional hazards model after matching confirmed the adverse effects of LVI on tumor prognosis. The Cox proportional hazards model before matching showed that age, carcinoembryonic antigen level, T stage, N stage, histologic grade and LVI were independent prognostic factors. The C-index of the nomogram established based on the Cox proportional hazards model was 0.787 (95% CI=0.728-0.845). The areas under the curve were 0.796 in the 3-year ROC. CONCLUSIONS: LVI is an adverse prognostic factor in patients with stage I-III colorectal cancer.