Strengthening the Evidence for a Causal Link between Type 2 Diabetes Mellitus and Pancreatic Cancer: Insights from Two-Sample and Multivariable Mendelian Randomization.

This two-sample Mendelian randomization (MR) study was conducted to investigate the causal associations between type 2 diabetes mellitus (T2DM) and the risk of pancreatic cancer (PaCa), as this causal relationship remains inconclusive in existing MR studies. The selection of instrumental variables for T2DM was based on two genome-wide association study (GWAS) meta-analyses from European cohorts. Summary-level data for PaCa were extracted from the FinnGen and UK Biobank databases. Inverse variance weighted (IVW) and four other robust methods were employed in our MR analysis. Various sensitivity analyses and multivariable MR approaches were also performed to enhance the robustness of our findings. In the IVW and Mendelian Randomization Pleiotropy RESidual Sum and Outlier (MR-PRESSO) analyses, the odds ratios (ORs) for each 1-unit increase in genetically predicted log odds of T2DM were approximately 1.13 for PaCa. The sensitivity tests and multivariable MR supported the causal link between T2DM and PaCa without pleiotropic effects. Therefore, our analyses suggest a causal relationship between T2DM and PaCa, shedding light on the potential pathophysiological mechanisms of T2DM's impact on PaCa. This finding underscores the importance of T2DM prevention as a strategy to reduce the risk of PaCa.

An Integrative Pancreatic Cancer Risk Prediction Model in the UK Biobank.

Pancreatic cancer (PaCa) is a lethal cancer with an increasing incidence, highlighting the need for early prevention strategies. There is a lack of a comprehensive PaCa predictive model derived from large prospective cohorts. Therefore, we have developed an integrated PaCa risk prediction model for PaCa using data from the UK Biobank, incorporating lifestyle-related, genetic-related, and medical history-related variables for application in healthcare settings. We used a machine learning-based random forest approach and a traditional multivariable logistic regression method to develop a PaCa predictive model for different purposes. Additionally, we employed dynamic nomograms to visualize the probability of PaCa risk in the prediction model. The top five influential features in the random forest model were age, PRS, pancreatitis, DM, and smoking. The significant risk variables in the logistic regression model included male gender (OR = 1.17), age (OR = 1.10), non-O blood type (OR = 1.29), higher polygenic score (PRS) (Q5 vs. Q1, OR = 2.03), smoking (OR = 1.82), alcohol consumption (OR = 1.27), pancreatitis (OR = 3.99), diabetes (DM) (OR = 2.57), and gallbladder-related disease (OR = 2.07). The area under the receiver operating curve (AUC) of the logistic regression model is 0.78. Internal validation and calibration performed well in both models. Our integrative PaCa risk prediction model with the PRS effectively stratifies individuals at future risk of PaCa, aiding targeted prevention efforts and supporting community-based cancer prevention initiatives.

Risk Factors Associated with Pancreatic Cancer in the UK Biobank Cohort.

Evidence on pancreatic cancer (PaCa) risk factors from large population-based cohort studies is limited. This study investigated the PaCa risk factors and the population attributable fraction (PAF) of modifiable risk factors in the UK Biobank cohort. The UK Biobank is a prospective cohort consisting of 502,413 participants with a mean follow-up time of 8.2 years. A binomial generalized linear regression model was used to calculate relative risks for PaCa risk factors. PAF was calculated to estimate the proportional reduction in PaCa if modifiable risk factors were to be eliminated. A total of 728 (0.14%) PaCa incident cases and 412,922 (82.19%) non-PaCa controls were analyzed. The non-modifiable risk factors included age and gender. The modifiable risk factors were cigarette smoking, overweight and obesity, increased waist circumstance, abdominal obesity, Diabetic Mellitus (DM), and pancreatitis history. The PAF suggested that eliminating smoking and obesity can contribute around a 16% reduction in PaCa cases while avoiding abdominal obesity can eliminate PaCa cases by 22%. Preventing pancreatitis and DM could potentially reduce PaCa cases by 1% and 6%, respectively. This study has identified modifiable and non-modifiable PaCa risk factors in the UK population. The PAF of modifiable risk factors can be applied to inform PaCa prevention programs.

High neutrophil-to-lymphocyte ratio and platelet-to-lymphocyte ratio predict poor survival in rectal cancer patients receiving neoadjuvant concurrent chemoradiotherapy.

This study explored the prognostic value of neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) in rectal cancer patients receiving neoadjuvant concurrent chemoradiotherapy (CCRT).Between January 2006 and December 2016, 184 patients with newly-diagnosed rectal cancer receiving neoadjuvant CCRT were enrolled. Risk of overall survival (OS) and disease-free survival (DFS) were calculated using the Kaplan-Meier method and Cox proportional hazard models. Stratified survival analyses were also performed between post-neoadjuvant pathological (yp) stage.The mean follow-up time was 72.73 ±â€Š36.82 months. High- and low-NLR patients differed significantly in both 5-year DFS (P = .026) and OS (P = .016). High- and low-PLR patients differed significantly in 5-year DFS (P = .011) but not OS (P = .185). Multivariate analyses revealed worse 5-year DFS (adjusted HR [aHR] = 2.8; 95% CI: 1.473-5.41; P = .002) and 5-year OS (aHR = 1.871; 95%CI: 1.029-3.4; P = .04) in the high-NLR group after adjusting for covariates. After adjustments, the high-PLR group had inferior 5-year DFS (aHR = 2.274; 95%CI: 1.473-5.419; P = .038) but not 5-year OS (aHR = 1.156; 95%CI: 0.650-2.056; P = .622). Further stratified analysis indicated that yp stage II and III patients with high NLR had worse 5-year DFS (aHR = 2.334; 95% CI: 1.158-4.725; P = .018) and OS (aHR = 2.226; 95% CI: 1.165-4.251; P = .015). Additionally, yp stage II and III patients with high PLR had inferior 5-year DFS (aHR = 2.012; 95% CI: 1.049-3.861; P = .036).Pre-CCRT NLR and PLR are independent prognostic factors for rectal cancer patients and could be used as a potential biomarker to identify high-risk patients for more intense treatment and care.

Pterostilbene inhibits lung squamous cell carcinoma growth in vitro and in vivo by inducing S phase arrest and apoptosis.

Natural dietary components have become the subject of an increasing amount of interest due to the side effects of anticancer treatment. Pterostilbene, an analog of resveratrol, is primarily found in grapes, and has been suggested to exert antioxidant and anticancer effects in different tumor types. The present study aimed to investigate the antitumor effects and molecular mechanisms of pterostilbene in the human lung squamous cell carcinoma (SqCC) cell line, H520. The results of the present study indicate that pterostilbene significantly reduced cell viability and induced S phase arrest, and that treatment with pterostilbene was associated with the downregulation of cyclin A and cyclin E, as with the upregulation of p21 and p27 expression in H520 cells. In the apoptosis analysis, pterostilbene induced S phase accumulation and the activation of caspase-3, -8 and -9 in H520 cells, potentially through the activation of extrinsic and intrinsic apoptotic pathways. Additionally, the in vivo study demonstrated that pterostilbene effectively inhibited lung SqCC growth in a H520 ×enograft model. Given the in vitro and in vivo antitumor effects of pterostilbene demonstrated in the present study, pterostilbene may serve a novel and effective therapeutic agent to for patients with SqCC.

The impact of marital status on survival in patients with surgically treated colon cancer.

The aim of this study was to investigate the relationship between marital status and disease outcome in patients with surgically treated colon cancer. Between June 2010 and December 2015, a total of 925 patients with newly diagnosed colon cancer receiving curative resection were enrolled. The effect of marital status on 5-year disease-specific survival (DSS) was calculated using Kaplan-Meier method, and was compared by log-rank tests. A Cox regression model was used to find significant independent variables and determine whether marriage had a survival benefit in patients with colon cancer, using stratified analysis. Among these patients, 749 (80.9%) were married, and 176 (19.1%) were unmarried, including 42 (4.5%) never-married, 42 (4.5%) divorced/separated, and 93 (10.1%) widowed. There was no significant difference between the married and unmarried groups in cancer stage or adjuvant treatment. Married patients had better 5-year DSS compared with unmarried patients (69.1% vs 55.9%, P < .001). Uni- and multivariate analyses also indicated that unmarried patients had worse 5-year DSS after adjusting for various confounders (adjusted HR [aHR], 1.66; 95% CI, 1.24-2.22). Further stratified analysis according to demographic variables revealed that unmarried status was a significant negative factor in patients with the following characteristics: age >65 years, female sex, well/moderately differentiated tumor, and advanced tumor-node-metastasis (TNM) stage disease (III-IV). Thus, marriage has a protective effect, and contributes to better survival in patients with surgically treated colon cancer. Additional social support for unmarried colon cancer patients may lead to improve outcomes.

Evaluating the optimal radiation dose for definitive chemoradiotherapy for esophageal squamous cell carcinoma: A single institution experience.

The optimal radiation dose for definitive chemoradiotherapy in inoperable esophageal squamous cell carcinoma (ESCC) has been long debated. In this study, we evaluated the effect of doses greater than the conventional radiation dose (50.4 Gy) on tumor control, tumor response, overall survival (OS), and disease-free survival (DFS).The database of patients diagnosed with inoperable ESCC from 2007 to 2015 was obtained from the cancer registry of Chi-Mei Medical Center. All categorical variables were compared using Chi-squared test. The risk of OS and DFS were estimated using Cox proportional hazards regression, and Kaplan-Meier plots presented the trend of OS and DFS with log-rank tests used to compare differences. All significance levels were set at P < .05.A total of 84 patients were retrospectively analyzed, with 42 (50%) receiving >50.4 Gy and 42 (50%) receiving ≤50.4 Gy (50%) concurrently with chemotherapy. Univariate and multivariate analysis revealed no significant differences between higher dose and conventional dose in OS (P = .21) and DFS (P = .26). Further dose analysis of <50, 50 to 50.4, 51 to 60, and >60 Gy showed no significant differences in OS or DFS. Higher doses conveyed no significant benefit on the failure pattern, either local regional failure or distant failure (P = .42). Major prognostic factors associated with better OS on multivariate analysis were stages I and II patients (P = .03) and radiation technique using arc therapy (P = .04). No acute toxicity of grade III or higher was recorded.The results of our study show that providing higher than conventional radiation doses concurrent with chemotherapy for inoperable ESCC does not impact OS or DSF, nor does it improve locoregional failure or distant failure. Although tumor response might be improved by radiation doses >50.4 Gy, the impact on OS and DFS remain to be studied.