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1.
Clinics ; 78: 100240, 2023. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1506018

ABSTRACT

Abstract Introduction Glycemic control is important to avoid diabetes complications in individuals with cancer. There is no evidence for HbA1c and fructosamine as reliable biomarkers in these conditions. There are particularities in caring for patients with diabetes and cancer that can alter these biomarkers. Objective The aim of this study was to evaluate HbA1c and fructosamine as glycemic biomarkers in people with type 2 diabetes and cancer, undergoing clinical or surgical oncological treatment. Methods The authors conducted a single-center, retrospective analysis with people who have cancer and diabetes. Comparison of glycemic biomarkers (HbA1c, fructosamine, and Self-Monitoring of Blood Glucose [SMBG]) was performed including evaluation in individuals undergoing chemotherapy, using glucocorticoids, with anemia, hypoproteinemia or with reduced estimated Glomerular Filtration Rate (eGFR). Results There was a strong positive correlation between fructosamine and HbA1c (n = 318, r= 0.66, p < 0.001) in people with diabetes and cancer even in those under chemotherapy (n = 101, r= 0.61, p < 0.001) or using glucocorticoids (n = 96, r= 0.67, p<0.001). There was a strong correlation between HbA1c and fructosamine in subjects with anemia (n = 111, r= 0.66, p < 0.001), hypoproteinemia (n = 54, r= 0.67, p < 0.001), or with eGFR ≥ 60 mL/min/1.73 m2 (n = 189, r= 0.70, p < 0.001), and moderate correlation with hypoalbuminemia (n = 21, r= 0.54, p = 0.001) and with reduced eGFR (n = 67, r= 0.57, p < 0.001). The correlations between fructosamine and HbA1c with SMBG were moderate (n = 164, r= 0.49, p < 0.001; n = 111, r= 0.55, p < 0.001, respectively), strong in subjects undergoing chemotherapy, with hypoalbuminemia or hypoproteinemia, and at least moderate, if eGFR < 60 mL/min/1.73 m2 or with anemia. Conclusions Fructosamine and HbA1c can be used as glycemic biomarkers in people with diabetes and cancer, even in those with anemia, hypoproteinemia, or undergoing chemotherapy.

2.
Appl. cancer res ; 37: 1-10, 2017. tab, ilus
Article in English | LILACS, Inca | ID: biblio-911905

ABSTRACT

Oral squamous cell carcinoma (OSCC) is the eighth most prevalent cancer worldwide. In recent large-scale studies, by immunohistochemistry and cluster analysis, several markers were associated with patient survival in various tumors. The aim of this study was to analyze the expression profiles of 23 proteins that have been linked to the inhibition (Bcl-2, Bcl-x, Bcl-xL, Bcl-2-related protein A1, BAG-1, and survivin) and promotion (Bak, Bax, Bim/Bod, Bim-Long, Bad, Bid, PUMA, Apaf-1, caspase-2, caspase-3, caspase-6, caspase-7, caspase-8, caspase-9, caspase-10, Smac/DIABLO, and cytochrome c) of apoptosis in OSCC. METHODS: Two-hundred and twenty nine cases of OSCC, arranged in a tissue microarray, were immunohistochemically analyzed, and the results were quantified on an automated imaging system. The data were analyzed using a random forest clustering method. RESULTS: Overall protein expression patterns defined two chief clusters: an anti-apoptotic cluster (142 cases) and a pro-apoptotic cluster (29 cases). These groups could not be explained by any clinical or pathological characteristic, and overall and disease-free survival did not differ between them. CONCLUSIONS: Although there was no association with survival, the cluster analysis demonstrated specific protein profiles that could be of interest for using targeted therapies: in one of the clusters, the expression of pro-apoptotic proteins was more prominent, demonstrating a pro-apoptotic profile and highlighting the importance of apoptosis during OSCC development.


Subject(s)
Humans , Male , Female , Middle Aged , Immunohistochemistry , Cluster Analysis , Apoptosis , Neoplasms, Squamous Cell/diagnostic imaging , Tissue Array Analysis
3.
Radiol. bras ; 46(3): 178-180, May-Jun/2013. graf
Article in English | LILACS | ID: lil-681925

ABSTRACT

The authors report a case where a quantitative assessment of the apparent diffusion coefficient (ADC) of liver metastasis in a patient undergoing chemotherapy has shown to be an effective early marker for predicting therapeutic response, anticipating changes in tumor size. A lesion with lower initial ADC value and early increase in such value in the course of the treatment tends to present a better therapeutic response.


Relatamos um caso no qual a avaliação quantitativa do coeficiente de difusão aparente (ADC) de metástases hepáticas submetidas a quimioterapia se mostrou um bom preditor e marcador precoce de resposta terapêutica, antecipando alterações de tamanho. Lesão com valor inicial do ADC mais baixo e com aumento precoce deste valor no curso do tratamento tende a apresentar melhor resposta terapêutica tardia.

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