Triglyceride-glucose index and glycemic dynamics in pancreatic ductal adenocarcinoma: implications for disease progression and prognosis.

BACKGROUND: To elucidate the relationship between the triglyceride-glycemic index (TyG) and clinical characteristics of pancreatic ductal adenocarcinoma (PDAC). METHODS: A total of 1,594 individuals diagnosed with pancreatic and periampullary neoplasms were categorized into four groups: PDAC-early (n = 403), locally advanced PDAC (LAPC, n = 315), PDAC-late with distant metastasis (n = 371), and other tumor types (n = 505). TyG-high was defined as a TyG index greater than 8.81 in males and 8.73 in females. RESULTS: The prevalence of TyG-high status was highest in PDAC-early (68.48%), followed by LAPC (53.33%), and lowest in PDAC-late (44.47%). TyG-high status significantly predicted worse PDAC prognosis (P = 0.0166), particularly in PDAC-late (P = 0.0420). Despite similar blood glucose levels across PDAC groups (P = 0.897), PDAC-early patients showed significantly higher rates of glycemic disturbances (56.33% vs. 32.28%) and TyG-high status (68.48% vs. 47.13%) compared to those with other tumors. Progressive increases in glycemic disturbances and TyG-high status were observed from benign to pre-malignant lesions and PDAC-early. PDAC-early patients at the pancreatic head exhibited higher rates of glycemic disturbances (58.12% vs. 33.33%, P < 0.0001), larger pancreatic duct diameters (0.4056 cm vs. 0.3398 cm, P = 0.0043), and poorer prognosis compared to periampullary cancers, although the TyG-high rate and body mass index were similar. CONCLUSION: The TyG index exhibits a complex association with PDAC stages, profoundly shaping glycemic profiles. At the initial stages of PDAC, a notable elevation in TyG-high status and glycemic disturbances is observed. However, in advanced PDAC, while the TyG-high rate diminishes, abnormal glucose levels persist.

Establishment and validation of a prognostic signature for pancreatic ductal adenocarcinoma based on lactate metabolism-related genes.

Background: Pancreatic ductal adenocarcinoma (PDAC) is one of the most aggressive and lethal malignancy with poor prognosis. To improve patient outcomes, it is necessary to gain a better understanding of the oncogenesis and progression of this disease. Metabolic reprogramming, particularly the regulation of lactate metabolism, is known to have a significant impact on tumor microenvironment and could provide valuable insights for the management of PDAC patients. In this study, we aimed to investigate the prognostic potential of lactate metabolism-related genes (LMRGs). Methods: Transcriptomic data of patients with PDAC along with the clinical outcomes were retrieved from The Cancer Genome Atlas database, and the expression data in normal pancreas from Genotype-Tissue Expression dataset were adopted as the normal control. By using Cox and LASSO regression models, we identified key genes that are differentially expressed in cancerous tissues and related to prognosis. To determine the prognostic value of LMRGs in PDAC, we evaluated their clinical significance and model performance using both the area under the receiver operator characteristic curve (AUC) and calibration curves. In addition, we evaluated the drug sensitivity prediction and immune infiltration by using oncoPredict algorithm, single sample gene set enrichment analysis and Tumor Immune Estimation Resource. Results: A total of 123 LMRGs were identified through differential gene screening analysis, among which 7 LMRGs were identified to comprise a LMRGs signature that independently predict overall survival of these PDAC patient. The AUC values for the LMRGs signature were 0.786, 0.820, 0.837, and 0.816 for predicting 1-, 2-, 3- and 5-year overall survival respectively. Furthermore, this prognostic signature was used to stratify patients into high-risk and low-risk groups, with the former having worse clinical outcomes. This observation was further validated through analysis of the International Cancer Genome Consortium database. In addition, lower sensitivity to gemcitabine and infiltration of immune effector cells were observed in the cancer tissue of patients in the high-risk group. Conclusion: In conclusion, our data suggests that a genomic signature comprised of these LMRGs may be a novel predictor of overall clinical outcomes and present therapeutic potential for PDAC patients.

Dyadic advance care planning: systematic review of patient-caregiver interventions and effects.

INTRODUCTION: Family caregiver's involvement in advance care planning (ACP) is essential to provide high-quality end-of-life (EOL) care and to ease the surrogate decision-making burden. However, no systematic review has focused on existing ACP interventions involving patients and their families. AIM: To systematically summarise current ACP interventions involving patients and their families. METHODS: Five English and two Chinese databases were searched from inception to September 2022. The eligible studies were experimental studies describing original data. The Joanna Briggs Institute critical appraisal tools assessed the methodological quality. Narrative synthesis was conducted for data analysis. RESULTS: In total, twenty-eight articles were included. Fifteen studies were randomised controlled trials, and the rest 13 studies were quasi-experimental studies. The data synthesis identified: (1) Key intervention components: strategies to promote ACP, ACP discussion and follow-up, as well as the role of family caregivers; (2) Effects on intended outcomes: interventions have shown benefit on completion of ACP actions, while inconsistent findings were found on the process outcomes and quality of EOL care. In addition, a logic model for patient-caregiver dyadic ACP was created, and the underlying mechanisms of action included well-preparation, open discussion and adequate support for plan/action. CONCLUSIONS: This review provides comprehensive evidence about patient-caregiver dyadic ACP, a promising intervention to better prepare for EOL communication and decision-making. A logic model has been mapped to give a preliminary indication for future implementation. More empirical studies are needed to improve this model and culturally adapt it in a real-world setting.

Adjuvant chemotherapy in pancreatic cancer at different AJCC stages: a propensity score matching analysis.

OBJECTIVE: In the treatment of resectable pancreatic cancer, adjuvant chemotherapy is viewed as essential. However, it is yet unclear how well adjuvant chemotherapy works at different illness stages. This study aims to investigate the efficacy of adjuvant chemotherapy in various pancreatic cancer stages. MATERIALS AND METHODS: Patients with pancreatic cancer who underwent surgical intervention at Sun Yat-sen University Cancer Center between January 2018 and January 2021 were included in this retrospective analysis. RESULTS: 168 patients were divided into two groups: the group receiving adjuvant chemotherapy (AC) and the group receiving independent surgery (no-AC). Survival analysis reveals that among stage I patients, the AC group demonstrates significant superiority over the no-AC group in terms of recurrence-free survival (RFS) and overall survival (OS) (P = 0.0028; P = 0.022). While there was no discernible difference in RFS between the AC and no-AC groups for patients with stage II illness (P = 0.69), the AC group significantly outperformed the no-AC group in terms of OS (P = 0.047). There was no discernible difference in RFS or OS between the AC and no-AC groups for patients with stage III pancreatic cancer (P = 0.40 and P = 0.20, respectively). CONCLUSIONS: The administration of adjuvant chemotherapy has been shown to improve the prognosis of patients diagnosed with stage I and II pancreatic cancer. However, its efficacy is limited in individuals with stage III pancreatic cancer. Therefore, there is an urgent need to investigate and develop more effective therapeutic options for patients in the advanced stage.