Comparison of Short-Term Outcomes After Robotic Versus Laparoscopic Radical Gastrectomy for Advanced Gastric Cancer in Elderly Individuals: A Propensity Score-Matching Study.

BACKGROUND: Robotic gastrectomy (RG) has been widely used to treat gastric cancer. However, whether the short-term outcomes of robotic gastrectomy are superior to those of laparoscopic gastrectomy (LG) for elderly patients with advanced gastric cancer has not been reported. METHODS: The study enrolled of 594 elderly patients with advanced gastric cancer who underwent robotic or laparoscopic radical gastrectomy. The RG cohort was matched 1:3 with the LG cohort using propensity score-matching (PSM). RESULTS: After PSM, 121 patients were included in the robot group and 363 patients in the laparoscopic group. Excluding the docking and undocking times, the operation time of the two groups was similar (P = 0.617). The RG group had less intraoperative blood loss than the LG group (P < 0.001). The time to ambulation and first liquid food intake was significantly shorter in the RG group than in the LG group (P < 0.05). The incidence of postoperative complications did not differ significantly between the two groups (P = 0.14). Significantly more lymph nodes were dissected in the RG group than in the LG group (P = 0.001). Postoperative adjuvant chemotherapy was started earlier in the RG group than in the LG group (P = 0.02). CONCLUSIONS: For elderly patients with advanced gastric cancer, RG is safe and feasible. Compared with LG, RG is associated with less intraoperative blood loss; a faster postoperative recovery time, allowing a greater number of lymph nodes to be dissected; and earlier adjuvant chemotherapy.

Trajectories of neutrophil-to-lymphocyte ratios during neoadjuvant chemotherapy correlate with short- and long-term outcomes in gastric cancer: a group-based trajectory analysis.

BACKGROUND: Systemic inflammatory factors can predict the survival prognosis of gastric cancer (GC) patients after neoadjuvant chemotherapy (NACT). However, whether longitudinal changes in systemic inflammatory factors are associated with short - and long-term outcomes has not been reported. METHODS: This study is a retrospective analysis of 216 patients with advanced gastric cancer who received NACT between January 2011 and June 2019, comparing receiver operating characteristic (ROC) curves for screening suitable inflammatory markers. Group-based trajectory modeling (GBTM) was used to analyze longitudinal changes in inflammatory markers during NACT to identify different potential subgroups and to compare postoperative complications, recurrence-free survival (RFS), and overall survival (OS) among subgroups. RESULTS: Ultimately, neutrophil-lymphocyte ratio (NLR) had the highest area under the curve (AUC) value in predicting prognosis was included in the GBTM analysis. Three trajectories of NLR were obtained: Stable group (SG) (n = 89), Ascent-descend group (ADG) (n = 80) and Continuous descend group (CDG) (n = 47). Compared with SG, ADG and CDG are associated with an increased risk of postoperative recurrence and death. The median time of RFS and OS of SG was longer than that of ADG and CDG (median RFS 81 vs. 44 and 22 months; median OS 69 vs. 41 and 30 months). In addition, CDG had significantly higher postoperative serious complications than SG and ADG (17 (36.2%) vs. 17 (19.1%) and 12 (15.0%); p = 0.005). CONCLUSION: There were different trajectories of NLR during NACT, and these potential trajectories were significantly associated with severe postoperative complications, recurrence, and mortality in patients with GC.

Prediction of the mitotic index and preoperative risk stratification of gastrointestinal stromal tumors with CT radiomic features.

OBJECTIVE: The objective is to develop a mitotic prediction model and preoperative risk stratification nomogram for gastrointestinal stromal tumor (GIST) based on computed tomography (CT) radiomic features. METHODS: A total of 267 GIST patients from 2009.07 to 2015.09 were retrospectively collected and randomly divided into (6:4) training cohort and validation cohort. The 2D-tumor region of interest was delineated from the portal-phase images on contrast-enhanced (CE)-CT, and radiomic features were extracted. Lasso regression method was used to select valuable features to establish a radiomic model for predicting mitotic index in GIST. Finally, the nomogram of preoperative risk stratification was constructed by combining the radiomic features and clinical risk factors. RESULTS: Four radiomic features closely related to the level of mitosis were obtained, and a mitotic radiomic model was constructed. The area under the curve (AUC) of the radiomics signature model used to predict mitotic levels in training and validation cohorts (training cohort AUC = 0.752; 95% confidence interval [95%CI] 0.674-0.829; validation cohort AUC = 0.764; 95% CI 0.667-0.862). Finally, the preoperative risk stratification nomogram combining radiomic features was equivalent to the clinically recognized gold standard AUC (0.965 vs. 0.983) (p = 0.117). The Cox regression analysis found that the nomogram score was one of the independent risk factors for the long-term prognosis of the patients. CONCLUSION: Preoperative CT radiomic features can effectively predict the level of mitosis in GIST, and combined with preoperative tumor size, accurate preoperative risk stratification can be performed to guide clinical decision-making and individualized treatment.

Robotic spleen-preserving total gastrectomy shows better short-term advantages: a comparative study with laparoscopic surgery.

BACKGROUND: Robotic surgery may be advantageous for complex surgery. We aimed to compare the intraoperative and postoperative short-term outcomes of spleen-preserving splenic hilar lymphadenectomy (SPSHL) during robotic and laparoscopic total gastrectomy. METHODS: From July 2016 to December 2020, the clinicopathological data of 115 patients who underwent robotic total gastrectomy combined with robotic SPSHL (RSPSHL) and 697 patients who underwent laparoscopic total gastrectomy combined with laparoscopic SPSHL (LSPSHL) were retrospectively analyzed. A 1:2 ratio propensity score matching (PSM) was used to balance the differences between the two groups to compare their outcomes. The Generic Error Rating Tool was used to evaluate the technical performance. RESULTS: After PSM, the baseline preoperative characteristics of the 115 patients in the RSPSHL and 230 patients in the LSPSHL groups were balanced. The dissection time of the region of the splenic artery trunk (5.4 ± 1.9 min vs. 7.8 ± 3.6 min, P < 0.001), the estimated blood loss during SPSHL (9.6 ± 4.8 ml vs. 14.9 ± 7.8 ml, P < 0.001), and the average number of intraoperative technical errors during SPSHL (15.1 ± 3.4 times/case vs. 20.7 ± 4.3 times/case, P < 0.001) were significantly lower in the RSPSHL group than in the LSPSHL group. The RSPSHL group showed higher dissection rates of No. 10 (78.3% vs. 70.0%, P = 0.104) and No. 11d (54.8% vs. 40.4%, P = 0.012) lymph nodes and significantly improved postoperative recovery results in terms of times to ambulation, first flatus, and first intake (P < 0.05). The splenectomy rates of the two groups were similar (1.7% vs. 0.4%, P = 0.539), and there was no significant difference in morbidity and mortality within postoperative 30 days (13.0% vs. 15.2%, P = 0.589). CONCLUSION: Compared to LSPSHL, RSPSHL has more advantages in terms of surgical qualities and postoperative recovery process with similar morbidity and mortality. For complex SPSHL, robotic surgery may be a better choice.

Comparison of long-term outcomes after robotic versus laparoscopic radical gastrectomy: a propensity score-matching study.

OBJECTIVE: There is insufficient evidence to evaluate the long-term outcomes of robotic radical gastrectomy. The aim of this study was to compare the radical results and long-term outcomes of robotic and laparoscopic radical gastrectomy. METHODS: We prospectively collected and retrospectively analyzed the general clinicopathological data of gastric cancer patients treated with robotic radical gastrectomy (RG) and laparoscopic radical gastrectomy (LG) from July 2016 to July 2018 at Fujian Medical University Union Hospital. The RG cohort was matched 1:3 with the LG cohort by using propensity score matching (PSM). The primary endpoints of the study were 3-year overall survival (OS) and 3-year relapse-free survival (RFS). RESULTS: The study included 221 patients treated with RG and 1106 patients treated with LG for gastric cancer. After PSM, 211 patients were included in the RG cohort, and 663 patients were included in the LG cohort. The 3-year OS rate was 81.0% in the robotic cohort and 79.3% in the laparoscopic cohort (log-rank test, P = 0.516). The 3-year RFS rate was 78.7% in the robotic cohort and 75.6% in the laparoscopic cohort (log-rank test, P = 0.600). In the subgroup analyses, no significant differences were noted between the RG and LG cohorts in terms of 3-year OS and 3-year RFS (all P > 0.05). The therapeutic value index of each lymph node station dissection in the robotic cohort was comparable to that in the laparoscopic cohort. CONCLUSION: Robotic radical gastrectomy can achieve radical results and long-term outcomes comparable to laparoscopic surgery, and further multicenter prospective studies can be conducted to assess the clinical efficacy of robotic radical gastrectomy.

Prediction of recurrence-free survival and adjuvant therapy benefit in patients with gastrointestinal stromal tumors based on radiomics features.

OBJECTIVE: Development and validation of a radiomics nomogram for predicting recurrence and adjuvant therapy benefit populations in high/intermediate-risk gastrointestinal stromal tumors (GISTs) based on computed tomography (CT) radiomic features. METHODS: Retrospectively collected from 2009.07 to 2015.09, 220 patients with pathological diagnosis of intermediate- and high-risk stratified gastrointestinal stromal tumors and received imatinib treatment were randomly divided into (6:4) training cohort and validation cohort. The 2D-tumor region of interest (ROI) was delineated from the portal-phase images on contrast-enhanced (CE) CT, and radiological features were extracted. The most valuable radiological features were obtained using a Lasso-Cox regression model. Integrated construction was conducted of nomograms of radiomics characteristics to predict recurrence-free survival (RFS) in patients receiving adjuvant therapy. RESULTS: Eight radiomic signatures were finally selected. The area under the curve (AUC) of the radiomics signature model for predicting 3-, 5-, and 7-year RFS in the training and validation cohorts (training cohort AUC = 0.80, 0.84, 0.76; validation cohort AUC = 0.78, 0.80, 0.76). The constructed radiomics nomogram was more accurate than the clinicopathological nomogram for predicting RFS in GIST (C-index: 0.864 95%CI, 0.817-0.911 vs. 0.733 95%CI, 0.675-0.791). Kaplan-Meier survival curve analysis showed a greater benefit from adjuvant therapy in patients with high radiomics scores (training cohort: p < 0.0001; validation cohort: p = 0.017), while there was no significant difference in the low-score group (p > 0.05). CONCLUSION: In this study, a nomogram constructed based on preoperative CT radiomics features could be used for RFS prediction in high/intermediate-risk GISTs and assist the clinical decision-making for GIST patients.

Unexplained huge liver infarction presenting as a tumor with bleeding: A case report.

BACKGROUND: Liver infarction is a rare necrotic lesion due to the dual blood supply consisting of the hepatic artery and portal vein. The absence of specific clinical manifestations and imaging appearances usually leads to misdiagnosis and poor prognosis. Thus, the precise diagnosis of liver infarction always requires imaging studies, serum studies, and possible liver biopsy. CASE SUMMARY: We report a case of 31-year-old man who developed a huge liver infarction. Persistent right upper abdominal pain and intermittent fever were the main symptoms in this patient. Computed tomography revealed a huge irregular lesion with a maximum diameter of 12.7 cm in the right lobe of the liver. Three-dimensional reconstruction was performed and no significant interruption of the main hepatic vessels was observed. The lesion was initially considered to be a malignant tumor with internal bleeding. Laparoscopic right hepatectomy was performed, and pathology indicated a rare liver infarction. The patient recovered well and was discharged on postoperative day 21. No fever or abnormal liver function were reported in the subsequent 6 mo. CONCLUSION: In patients with a huge liver infarction, early surgical intervention may be beneficial.

Integrin αvß3 is required for cathepsin B-induced hepatocellular carcinoma progression.

The cysteine protease cathepsin B (Cat B) is important in the progression of tumor cells, however, the function and molecular mechanisms of Cat B in hepatocellular carcinoma (HCC) remain to be elucidated. Our previous study demonstrated that integrin αvß3 regulated the biological behavior of HCC. The present study demonstrated that Cat B was also important in cell proliferation and apoptosis in HCC. Notably, Cat B was observed to activate the phosphoinositide 3­kinase (PI3K)/Akt signaling pathway to promote HCC proliferation. Furthermore, inhibition of integrin αvß3 significantly prevented Cat B­induced activation of PI3K/Akt and the progression of HCC. Thus, the results of the present study suggested the presence of a Cat B/integrin αvß3/PI3K/Akt axis in the regulation of the progression of HCC.