Very Early Recurrence After Curative-Intent Surgery for Gastric Adenocarcinoma

Machine learning to predict distant metastasis and prognostic analysis of moderately differentiated gastric adenocarcinoma patients: a novel focus on lymph node indicators

BACKGROUND

Moderately differentiated gastric adenocarcinoma (MDGA) has a high risk of metastasis and individual variation, which strongly affects patient prognosis. Using large-scale datasets and machine learning algorithms for prediction can improve individualized treatment. The specific efficacy of several lymph node indicators in predicting distant metastasis (DM) and patient prognosis in MDGA remains obscure.

METHODS

We collected data from MDGA patients from the SEER database from 2010 to 2019. Additionally, we collected data from MDGA patients in China. We used nine machine learning algorithms to predict DM. Subsequently, we used Cox regression analysis to determine the risk factors affecting overall survival (OS) and cancer-specific survival (CSS) in DM patients and constructed nomograms. Furthermore, we used logistic regression and Cox regression analyses to assess the specific impact of six lymph node indicators on DM incidence and patient prognosis.

RESULTS

We collected data from 5,377 MDGA patients from the SEER database and 109 MDGC patients from hospitals. T stage, N stage, tumor size, primary site, number of positive lymph nodes, and chemotherapy were identified as independent risk factors for DM. The random forest prediction model had the best overall predictive performance (AUC = 0.919). T stage, primary site, chemotherapy, and the number of regional lymph nodes were identified as prognostic factors for OS. Moreover, T stage, number of regional lymph nodes, primary site, and chemotherapy were also influential factors for CSS. The nomograms showed good predictive value and stability in predicting the 1-, 3-, and 5-year OS and CSS in DM patients. Additionally, the log odds of a metastatic lymph node and the number of negative lymph nodes may be risk factors for DM, while the regional lymph node ratio and the number of regional lymph nodes are prognostic factors for OS.

CONCLUSION

The random forest prediction model accurately identified high-risk populations, and we established OS and CSS survival prediction models for MDGA patients with DM. Our hospital samples demonstrated different characteristics of lymph node indicators in terms of distant metastasis and prognosis.

Unraveling early recurrence of risk factors in Gallbladder cancer: A systematic review and meta-analysis

BACKGROUND

Gallbladder cancer (GBC) is the most prevalent biliary tract tumor characterized by a high incidence of recurrence, even after curative-intent surgery. The object of this systematic review and meta-analysis was to investigate the risk factors related to early recurrence (ER).

METHODS

A systematic literature review was conducted in PubMed, Embase, Cochrane Library, and Web of Science to identify published articles up to February 2024. Data on risk factors associated with ER reported by two or more studies were collected. Selection of different effect models based on data heterogeneity.

RESULTS

Out of 6497 initially identified articles based on our search strategies, only 5 were eligible and included in this meta-analysis and 12 ER-related factors were collected. The overall recurrence rate was reported between 32.3% and 61.0 %, and the ER rate ranged from 19.6% to 26.5 %. Concentrations of CA19-9 (OR 3.03 95 % CI 2.20-4.17) and CEA (OR 1.85 95 % CI 1.24-2.77), tumor differentiation (OR 2.79, 95 % CI 1.86-4.20), AJCC T stage (OR 7.64, 95%CI 3.40-17.18), lymphovascular invasion (OR 2.71, 95 % CI 1.83-4.03), perineural invasion (OR 2.71, 95 % CI 1.79-4.12), liver involvement (OR 5.69, 95%CI 3.78-8.56) and adjuvant therapy (OR 2.19, 95 % CI 1.06-4.55) were identified as the risk factors of ER.

CONCLUSION

This study may provide valuable insights for early identification of increased ER risk and making informed decisions regarding the comprehensive diagnosis and treatment of patients with GBC. To draw more definitive conclusions, there is a need for high-quality prospective studies involving multiple centers and diverse racial populations.

Clinical impact of very early recurrence after conversion surgery for stage IV gastric cancer

Background

The development and improved response to chemotherapy has resulted in a survival benefit of conversion surgery (CS) for advanced gastric cancer (GC). However, this benefit is limited in some cases, such as in those with very early recurrence (VER). This study investigated the relationship between outcome and clinicopathological characteristics after CS for stage IV GC, and the risk factors for VER after CS.

Methods

We retrospectively studied 184 patients with stage IV GC who initially underwent chemotherapy, including 36 patients who underwent CS between May 2007 and January 2022. We evaluated the long-term outcome after CS for stage IV GC and the clinicopathological characteristics of the patients who underwent CS.

Results

Median survival times (MSTs) in the chemotherapy alone and CS groups were 13.4 and 36.5 months, respectively (p < 0.0001). Of the 27 patients who underwent R0 resection, 22 remained free of early recurrence and five experienced VER. MSTs in the VER and free of early recurrence groups were 15.2 and 44.1 months, respectively (p < 0.0001). Significantly more patients had liver metastasis before initial treatment in the VER group than in the FER group (p = 0.016). There were more patients with preoperative PNI <40 in the VER group (p = 0.046).

Conclusion

CS is an effective treatment for stage IV GC, but VER is associated with poor prognosis. We need to carefully consider the indications for CS, especially for patients with poor nutritional status and liver metastases.

The clinical impact of early recurrence and its recurrence patterns in patients with gallbladder carcinoma after radical resection

BACKGROUND

It is common for patients with gallbladder carcinoma (GBC) to develop recurrence shortly after radical resection. We aimed to investigate the risk factors of early recurrence (ER) and its recurrence patterns and further analyze the effect of adjuvant chemotherapy (ACT) on ER and non-ER patients for decision-making in clinical practice.

METHODS

A total of 276 patients who underwent radical resection for GBC were retrospectively analyzed. Factors associated with overall survival (OS) and recurrence free survival (RFS) were identified using the Cox proportional hazard regression model, whereas ER was investigated using univariate and multivariable logistic regression models.

RESULTS

The results indicated that 23.2% (64/276) of GBC patients developed ER after radical resection. ER was determined to be an independent risk factor for OS in patients with GBC after resection (P < 0.05). CA125, liver invasion, T stage, and N stage were independently associated with ER (P < 0.05). N1/N2 stage disease was an independent risk factor for OS, RFS and ER, and had a better predictive value in identifying ER than the other three variables associated with ER (P < 0.05). The liver and lymph nodes were the main first recurrence sites, and ER patients had a higher proportion of multisite recurrence. The prognosis of GBC patients with ER after radical resection differed significantly depending on whether ACT was provided, with ACT demonstrated to improve their prognosis (P < 0.05).

CONCLUSIONS

Early recurrence after radical resection indicates a very poor prognosis in GBC and can be used to identify those who will benefit from ACT.

Defining a Nomogram for Predicting Early Recurrence in Gastric Cancer Patients After Neoadjuvant Chemotherapy and Radical Gastrectomy

PURPOSE

To define and predict early recurrence (ER) in patients with gastric cancer (GC) who underwent radical gastrectomy after neoadjuvant chemotherapy (NAC).

METHODS

The present study included 573 patients who underwent NAC followed by curative resection for GC between January 2014 and December 2019. The patients were randomly divided into the training (n = 382) and validation (n = 191) cohorts in a 2:1 ratio. The optimal cut-off value of recurrence-free survival for defining ER was determined based on post-recurrence survival (PRS). Risk factors for ER were identified by logistic regression. A nomogram was further constructed and evaluated.

RESULTS

The optimal cut-off value for defining ER was 12 months. Overall, 136 patients (23.7%) experienced ER and had significantly shorter median PRS (4 vs. 13 months, P < 0.001). In the training cohort, factors independently associated with ER included age (P = 0.026), Lauren classification (P < 0.001), preoperative carcinoembryonic antigen (P = 0.029), ypN staging (P < 0.001), major pathological regression (P = 0.004), and postoperative complications (P < 0.001). A nomogram integrating these factors exhibited higher predictive accuracy than the ypTNM stage alone in both the training and validation cohorts. Moreover, the nomogram enabled significant risk stratification in both cohorts; only the high-risk patients could benefit from adjuvant chemotherapy (ER rate: 53.9% vs. 85.7%, P = 0.007).

CONCLUSION

A nomogram involving preoperative factors can accurately predict the risk of ER and guide individualized treatment strategies for GC patients following NAC, which may assist in clinical decision-making.

Laparoscopic Versus Robotic Gastric Cancer Surgery: Short-Term Outcomes-Systematic Review and Meta-Analysis of 25,521 Patients

Background: Gastric cancer has the third highest cancer-related mortality worldwide. There is no consensus regarding the optimal surgical technique to perform curative resection surgery. Objective: Compare laparoscopic gastrectomy (LG) and robotic gastrectomy (RG) regarding short-term outcomes in patients with gastric cancer. Materials and Methods: This systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched the following topics: "Gastrectomy," "Laparoscopic," and "Robotic Surgical Procedures." The included studies compared short-term outcomes between LG and RG. Individual risk of bias was assessed with the Methodological Index for Non-Randomized Studies (MINORS) scale. Results: There was no significant difference between RG and LG regarding conversion rate, reoperation rate, mortality, overall complications, anastomotic leakage, distal and proximal resection margin distances, and recurrence rate. However, mean blood loss (mean difference [MD] -19.43 mL, P < .00001), length of hospital stay (MD -0.50 days, P = .0007), time to first flatus (MD -0.52 days, P < .00001), time to oral intake (MD -0.17 days, P = .0001), surgical complications with a Clavien-Dindo grade ≥III (risk ratio [RR] 0.68, P < .0001), and pancreatic complications (RR 0.51, P = .007) were significantly lower in the RG group. Furthermore, the number of retrieved lymph nodes was significantly higher in the RG group. Nevertheless, the RG group showed a significantly higher operation time (MD 41.19 minutes, P < .00001) and cost (MD 3684.27 U.S. Dollars, P < .00001). Conclusion: This meta-analysis supports the choice of robotic surgery over laparoscopy concerning relevant surgical complications. However, longer operation time and higher cost remain crucial limitations. Randomized clinical trials are required to clarify the advantages and disadvantages of RG.