3 resultados
Resultados de Busca
Agora exibindo 1 - 3 de 3
Item Gene serpina1: potencial marcador diagnóstico em carcinomas papilíferos da tireoide(REVISTA UNIVAP) Santos, Joyce Nascimento; Queiroz, João Paulo da Silva; Medeiros Neto, Lázaro Pinto; Santos, André Bandiera de Oliveira; Canevari, Renata de AzevedoAs neoplasias tireoidianas são o principal tipo de malignidade endócrina, sendo atualmente consideradas um problema de saúde pública com aumento constante em sua incidência nos últimos anos. A descoberta de marcadores moleculares que possam ser aplicados na rotina clínica em conjunto com a biópsia por aspiração com agulha fina (PAAF) pode propiciar um diagnóstico mais preciso e consequentemente um tratamento mais eficiente para o paciente. O objetivo desse estudo foi avaliar se o gene SERPINA1 pode ser considerado um marcador diagnóstico em carcinomas de tireoide. Foi realizada a análise de expressão gênica pela RT-qPCR, em 32 amostras de tecido tireoidiano, sendo 13 bócios, 11 carcinomas papilíferos, quatro carcinomas foliculares e quatro tecidos não tumorais de tireoide. A expressão aumentada do gene SERPINA1 foi observada nas amostras de carcinoma papilífero em comparação com amostras de bócio (P=0.0319) e com as amostras de carcinoma folicular (P=0.0430). Não foi observada expressão diferencial significativa entre amostras de carcinoma folicular com as amostras de bócio (P= 0.5329). Os resultados da análise de expressão gênica sugerem que o gene SERPINA1 pode ser considerado um marcador diagnóstico em carcinomas papilíferos de tireoide.Item Integrating Raman spectroscopy and RT-qPCR for enhanced diagnosis of thyroid lesions: a comparative study of biochemical and molecular markers(Elsevier) Medeiros Neto, Lázaro Pinto; Santos, Laurita dos; Carvalho, Luís Felipe C. S.; Santos, André Bandiera de Oliveira; Martin, Aírton Abrahão; Canevari, Renata de AzevedoThyroid cancer is the most prevalent endocrine malignancy, with increasing incidence due to advancements in diagnostic techniques. Ultrasound (US) and fine needle aspiration (FNA) cytology, widely used in clinical practice, have detection accuracies ranging from 65 % to 95 %. However, these methods may yield inconclusive or difficult-to-interpret results, emphasizing the need for complementary diagnostic techniques. This study ex- plores the integration of Raman spectroscopy and gene expression analysis via RT-qPCR to improve the diagnosis of thyroid lesions, classified into groups: follicular thyroid carcinoma (FTC), papillary thyroid carcinoma (PTC) and goiter tissues. Healthy tissue samples were used as normalizing controls in both analysis. Raman spectros- copy analyzed 35 samples, while RT-qPCR assessed 33 samples. For comparison, the same 19 samples previously analyzed by both techniques were examined. Raman spectroscopy, a non-invasive technique, has shown effec- tiveness in distinguishing between benign and malignant thyroid tissues by identifying key biochemical com- ponents such as DNA, RNA, proteins, and lipids. The distinguishing of FTC from goiter using Raman spectroscopy achieved an accuracy rate of 82.3 %. Gene expression analysis via RT-qPCR focused on six genes: TG, TPO, PDGFB, SERPINA1, TFF3, and LGALS3. Specifically, SERPINA1 was overexpressed in PTC, TFF3 showed elevated levels in FTC, and LGALS3 was elevated in both PTC and FTC compared to goiter and normal tissues. These findings align with existing literature, suggesting that these genes could serve as valuable diagnostic molecular markers. The expression analysis of these genes within this subset of samples demonstrated concordance with the classification derived from PCA of Raman spectroscopy data. The integration of Raman spectroscopy and RT- qPCR offers a complementary approach to traditional histological analysis, providing enhanced sensitivity and specificity in diagnosing thyroid lesions.Item Molecular Markers for Thyroid Cancer Diagnosis: Insights from MAPK Pathway Gene Expression Analysis(MDPI) Pupin, Breno; Diniz, Ramon Varella; Costa, Maricilia Silva; Chagas, Maurilio José; Santos, André Bandiera de Oliveira; Canevari, Renata de AzevedoBackground and Objectives: Thyroid cancer is the prevailing endocrine malignancy, with incidence growing over the last decades in the world. The current diagnostic techniques often yield inconclusive results, emphasizing the need for more effective diagnostic ap- proaches. Molecular profiling emerges as a promising avenue for carcinoma differentiation, offering precise insights to guide patient selection for surgical intervention. This study aimed to identify molecular markers in thyroid cancer through the expression analysis of genes within the MAPK pathway, aiming to enhance the sensitivity and specificity of carcinoma diagnosis. Methods: Through a comparative analysis of malignant and benign thyroid samples, we identified 46 genes of the MAPK pathway that exhibited differential expression by PCR array analysis. Results: Validation through RT-qPCR and in silico analysis using TCGA confirmed significant results for CCNA1, CDKN1C, CREB1, FOS, HSPA5, JUN, MAP2K6, and SFN genes identified in our cohort, reinforcing the relevance of these biomarkers. Specifically, noteworthy are our findings regarding the potential diag- nostic value of CCNA1 and SFN genes in papillary thyroid carcinoma, while the reduced expression of CDKN1C, FOS, and JUN genes in follicular carcinoma suggests their value in distinguishing the thyroid pathologies. Conclusions: This study identifies promising diagnostic markers, namely CCNA1, CDKN1C, FOS, JUN, and SFN genes, which have the potential to enhance clinical decision-making in thyroid cancer.