Adjuvant Chemotherapy Might Be Recommended to Patients With Positive Margin After Gastrectomy: A 20-Year Retrospective Analysis in a Single Center

Laparoscopic versus open total gastrectomy for T4a gastric cancer: a propensity score-matched analysis of long-term outcomes

Evidence of implementation of laparoscopic total gastrectomy (LTG) for surgical T4a stage (sT4a) gastric cancer (GC) remains inadequate. This study aimed to compare short- and long-term outcomes of LTG versus open total gastrectomy (OTG) for sT4a GC. This retrospective cohort study was conducted using data from patients with sT4a GC underwent total gastrectomy from 2014 to 2020. Short-term outcomes included operative characteristics and postoperative complications. Long-term oncological outcomes focused on 3-, and 5-year overall survival (OS) and disease-free survival (DFS). Propensity score matching (PSM) was applied to reduce potential biases in baseline characteristics between groups. There was a total of 161 patients, in which 96 underwent LTG and 65 underwent OTG. After PSM, both groups consisted of 51 patients each, with balanced baseline characteristics. There were no significant differences between the two groups regarding blood loss, length of proximal resected margin, postoperative hospital stays, and overall and major postoperative complications. Most of the complications were classified as minor according to the Clavien-Dindo classification. Operating time was significantly longer in the LTG group (mean: 257 min vs. 231 min, p = 0.006). LTG was superior to OTG groups in time to flatus (mean: 3.0 days vs 3.9 days, p < 0.001). Five-year OS and DFS rates were similar between the two groups (44% and 33% vs. 43% and 28% in the LTG and OTG groups, respectively). Our findings indicate that LTG is a feasible and safe technique, exhibiting comparable long-term oncological outcomes to OTG for sT4a GC. LTG may be an acceptable alternative to OTG for the treatment of sT4a GC.

Identification and validation a costimulatory molecule gene signature to predict the prognosis and immunotherapy response for hepatocellular carcinoma

BACKGROUND

Hepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. Costimulatory molecules have been proven to be the foundation of immunotherapy. However, the potential roles of costimulatory molecule genes (CMGs) in HCC remain unclear. Our study is aimed to develop a costimulatory molecule-related gene signature that could evaluate the prognosis of HCC patients.

METHODS

Based on The Cancer Gene Atlas (TCGA) database, univariate Cox regression analysis was applied in CMGs to identify prognosis-related CMGs. Consensus clustering analysis was performed to stratify HCC patients into different subtypes and compared them in OS. Subsequently, the LASSO Cox regression analysis was performed to construct the CMGs-related prognostic signature and Kaplan-Meier survival curves as well as ROC curve were used to validate the predictive capability. Then we explored the correlations of the risk signature with tumor-infiltrating immune cells, tumor mutation burden (TMB) and response to immunotherapy. The expression levels of prognosis-related CMGs were validated based on qRT-PCR and Human Protein Atlas (HPA) databases.

RESULTS

All HCC patients were classified into two clusters based on 11 CMGs with prognosis values and cluster 2 correlated with a poorer prognosis. Next, a prognostic signature of six CMGs was constructed, which was an independent risk factor for HCC patients. Patients with low-risk score were associated with better prognosis. The correlation analysis showed that the risk signature could predict the infiltration of immune cells and immune status of the immune microenvironment in HCC. The qRT-PCR and immunohistochemical results indicated six CMGs with differential expression in HCC tissues and normal tissues.

CONCLUSION

In conclusion, our CMGs-related risk signature could be used as a prediction tool in survival assessment and immunotherapy for HCC patients.