INTRODUCTIONStage I non-small cell lung cancer (NSCLC) is potentially curable after completely resection, but early recurrence may infl uence prognosis. This study hypothesises that vascular endothelial growth factor C (VEGF-C) plays a key role in predicting early recurrence and poor survival of patients with stage I NSCLC.

MATERIALS AND METHODSThe expression of VEGF-C was immuno-histochemically (IHC) analysed in tumour samples of primary stage I NSCLC and correlated to early recurrence (< 36 months), disease-free survival, and overall survival in all 49 patients.

RESULTSEarly recurrence was identifi ed in 16 patients (33%), and the early recurrence rate in strong and weak VEGF-C activity was significantly different (P = 0.016). VEGF-C was also an independent risk factor in predicting early recurrence (HR = 3.98, P = 0.02). Patients with strong VEGF-C staining also had poor 3-year disease-free survival (P = 0.008) and overall survival (P = 0.007).

CONCLUSIONStrong VEGF-C IHC staining could be a biomarker for predicting early recurrence and poor prognosis of resected stage I NSCLC, if the results of the present study are confirmed in a larger study. A more aggressive adjuvant therapy should be used in this group of patients.

Adult ; Aged ; Aged, 80 and over ; Biomarkers ; blood ; Carcinoma, Non-Small-Cell Lung ; blood ; mortality ; pathology ; surgery ; Disease-Free Survival ; Female ; Humans ; Immunohistochemistry ; Male ; Middle Aged ; Neoplasm Staging ; Prognosis ; Survival Analysis ; Taiwan ; Vascular Endothelial Growth Factor A ; blood ; metabolism

Objective: Individuals with dementia are at a substantially elevated risk for mortality; however, few studies have examined multimorbidity patterns and determined the inter-relationship between these comorbidities in predicting mortality risk. Methods: This is a prospective cohort study. Data from 6,556 patients who were diagnosed with dementia between 1997 and 2012 using the Taiwan National Health Insurance Research Database were analyzed. Latent class analysis was performed using 16 common chronic conditions to identify mortality risk among potentially different latent classes. Logistic regression was performed to determine the adjusted association of the determined latent classes with the 5-year mortality rate. Results: With adjustment for age, a three-class model was identified, with 42.7% of participants classified as “low comorbidity class (cluster 1)”, 44.2% as “cardiometabolic multimorbidity class (cluster 2)”, and 13.1% as “FRINGED class (cluster 3, characterized by FRacture, Infection, NasoGastric feeding, and bleEDing over upper gastrointestinal tract).” The incidence of 5-year mortality was 17.6% in cluster 1, 26.7% in cluster 2, and 59.6% in cluster 3. Compared with cluster 1, the odds ratio for mortality was 9.828 (95% confidence interval [CI]=6.708–14.401; p<0.001) in cluster 2 and 1.582 (95% CI=1.281–1.953; p<0.001) in cluster 3. Conclusion Among patients with dementia, the risk for 5-year mortality was highest in the subpopulation characterized by fracture, urinary and pulmonary infection, upper gastrointestinal bleeding, and nasogastric intubation, rather than cancer or cardiometabolic comorbidities. These findings may improve decision-making and advance care planning for patients with dementia.