RESUMO
INTRODUCTION: Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, owing to its aggressive nature and poor prognosis. The role of folate receptors, particularly folate receptor 1 (FOLR1) and folate receptor 2 (FOLR2), in cancer has been increasingly recognized due to their overexpression in various malignancies including gastric cancer, and its potential implications in cancer progression, treatment resistance and as therapeutic targets. OBJECTIVE: To evaluate the expression patterns of FOLR1 and FOLR2 in GC patients' tissue and blood specimens and to correlate these patterns with clinicopathological variables. METHODS: A total of 58 gastric cancer patients were enrolled at the Regional Cancer Centre (RCC) from March 2017 to March 2020. Immunohistochemical analysis was performed to examine the expression of FOLR1 and FOLR2 in formalin-fixed paraffin-embedded (FFPE) tissue samples. Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed to analyze FOLR1 and FOLR2 expression in blood samples. Statistical analyses were conducted using chi-square tests, independent T-tests, and Kaplan-Meier survival analysis. RESULTS: FOLR1 and FOLR2 were overexpressed in 82.76% and 70.69% of gastric cancer tissues, respectively. High expression levels of FOLR1 were significantly associated with the diffuse type of gastric cancer (p<0.005). qRT-PCR showed significant overexpression of FOLR1 in gastric cancer blood samples compared to control samples, with a median fold change of approximately 14.18 times. Conversely, FOLR2 was significantly underexpressed in gastric cancer samples, with a fold change of 0.30. However, no significant correlation was found between FOLR2 expression and the clinicopathological features. The overall survival analysis did not show a significant difference in survival rates based on the expression levels of FOLR1 and FOLR2. CONCLUSIONS: This study highlights the differential expression patterns of FOLR1 and FOLR2 in gastric cancer and underscores the complexity of their roles in cancer biology. While FOLR1 shows potential as a biomarker for gastric cancer due to its overexpression, further studies are needed to fully elucidate the therapeutic and prognostic implications of folate receptors in gastric cancer.
RESUMO
OBJECTIVES: India has taken several initiatives to provide health care to its population while keeping the related expenditure minimum. Since cardiovascular diseases are the most prevalent chronic conditions, in the present study, we aimed to analyze the difference in prices of medicines prescribed for three cardiovascular risk factors, based on (a) listed and not listed in the National List of Essential Medicines (NLEM) and (b) generic and branded drugs. MATERIALS AND METHODS: Outpatient prescriptions for diabetes mellitus, hypertension, and dyslipidemia were retrospectively analyzed from 12 tertiary centers. The prices of medicines prescribed were compared based on presence or absence in NLEM India-2015 and prescribing by generic versus brand name. The price was standardized and presented as average price per medicine per year for a given medicine. The results are presented in Indian rupee (INR) and as median (range). RESULTS: Of the 4,736 prescriptions collected, 843 contained oral antidiabetic, antihypertensive, and/or hypolipidemic medicines. The price per medicine per year for NLEM oral antidiabetics was INR 2849 (2593-3104) and for non-NLEM was INR 5343 (2964-14364). It was INR 806 (243-2132) for generic and INR 3809 (1968-14364) for branded antidiabetics. Antihypertensives and hypolipidemics followed the trend. The price of branded non-NLEM medicines was 5-22 times higher compared to generic NLEM which, for a population of 1.37 billion, would translate to a potential saving of 346.8 billion INR for statins. The variability was significant for sulfonylureas, angiotensin receptor blockers, beta-blockers, diuretics, and statins (P < 0.0001). CONCLUSION: The study highlights an urgent need for intervention to actualize the maximum benefit of government policies and minimize the out-of-pocket expenditure on medicines.
