Scientists from Finland, USA, UAE, and Thailand find AI responses to cancer-related questions not so reliable particularly in languages other than English.

Background: Over recent decades, findings on the potential correlation between type II diabetes mellitus (T2DM) and the risk of esophageal cancer (EC) have displayed considerable heterogeneity. Furthermore, metformin has emerged as a potentially protective agent against certain site-specific malignancies. This study aims to explore the causal relationship between T2DM, medication treatments (metformin, insulin, gliclazide), and EC risk while addressing the notable variability in previous research findings.

Methods: To elucidate the causal associations between T2DM, medication treatments, and EC, we employed a synergistic methodology that integrates the two-sample Mendelian randomization (MR) approach with meta-analysis. The genome-wide association studies (GWAS) pertaining to each exposure and EC were acquired from a publicly accessible database.

Results: For MR analyses, three out of seven GWAS datasets within the T2DM cohort exhibited statistical significance. Conversely, all MR analyses yielded non-significant results in the medication cohort. Meta-analyses suggested that a genetic predisposition to T2DM correlated with a reduced risk of EC [odds ratio (OR), 0.999612; 95% confidence interval (CI): 0.999468–0.999756; P=0.01; I²=0%]. Moreover, metformin intake was causally linked to a decreased prevalence of EC (OR, 0.988954; 95% CI: 0.979044–0.998963; P=0.03; I²=0%), whereas neither insulin nor gliclazide manifests statistical significance.

Conclusions: Our findings indicate T2DM and metformin are causally associated with diminished risk of EC, while no causal associations exist between insulin, gliclazide, and EC.

Background: Acute lung injury (ALI) is one of the most serious pulmonary complications following lung resection. Despite the known beneficial effects of corticosteroid treatment for postoperative ALI, limited data are available regarding corticosteroid treatment duration. This study aimed to evaluate the beneficial effects of a short-course corticosteroid in patients with postoperative ALI following lung resection surgery for lung cancer.

Methods: This retrospective observational study included 91 patients who were treated with corticosteroids for postoperative ALI among 7,317 patients who underwent lung resection surgery for lung cancer between January 2017 and March 2021. Patients were divided into two groups, short (≤14 days, n=31) and long (≥15 days, n=60) courses, on the basis of corticosteroid treatment duration.

Results: While similar baseline characteristics were observed between the two groups, the short-course group had a higher corticosteroid loading dose than the long-course group; however, the cumulative dose in the first 7 days was not different between the two groups. Overall, in-hospital mortality rates were 3.2% and 26.7% in the short- and long-course groups, respectively (P=0.01). Moreover, the long-course group had higher additional intensive care unit (ICU) admission (32.3% vs. 60.0%, P=0.02) and persistent air leakage (0% vs. 13.3%, P=0.09). In the logistic regression analysis, corticosteroid treatment duration was marginally associated with in-hospital mortality [adjusted odds ratio (OR), 9.03; 95% confidence interval (CI): 0.96–84.9, P=0.054].

Conclusions: Short-course corticosteroid treatment was associated with a lower rate of surgical site complications, additional ICU admission, and in-hospital mortality, which suggests the necessity of efforts for reducing the total duration by weighing the benefits and adverse effects of corticosteroid treatment for postoperative ALI.

Background: Esophagectomy following neoadjuvant chemoradiotherapy (nCRT) is a curative treatment for locally advanced esophageal cancer. However, pulmonary complications are the most common postoperative issues and can adversely affect survival. While numerous studies have investigated predictors for these complications and survival, morphomic predictors, derived from body composition measurements on computed tomography scans, have been rarely reported. Our study aims to delineate morphomic predictors for post-esophagectomy pulmonary complications and overall survival.

Methods: We retrospectively analyzed esophageal cancer patients who received nCRT followed by esophagectomy between 2004 and 2016. Preoperative clinical and morphomic variables were collected to evaluate post-esophagectomy pulmonary complications and overall survival. Multivariable logistic regression and Cox’s proportional hazard model were used for analysis.

Results: The study involved 221 esophageal cancer patients who received nCRT followed by surgery. Factors such as increased blood loss (P=0.01), more harvested nodes (P<0.001), advanced pT stage (P=0.01), elevated visceral adipose tissue (VAT) density (P=0.04), and reduced skeletal muscle (SM) area (P=0.01) were linked to pulmonary complications. Additionally, being male (P=0.01), increased blood loss (P<0.001), non-R0 resection margin (P=0.001), advanced pStage (P<0.001), advanced pT stage (P=0.02), and decreased SM density (P=0.045) were associated with poorer overall survival.

Conclusions: Increased VAT density and decreased SM area were associated with pulmonary complications, while decreased SM density was linked to poorer overall survival. Preoperative analytic morphomics aids in predicting both postoperative pulmonary complications and survival.

A new paper in the Journal of the National Cancer Institute finds that almost 20% of patients in middle-stage cancer drug trials receive treatment that eventually prove effective enough to get FDA approval. This may have important implications for drug development and clinical trial recruitment.