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Browsing CIIS - Working Papers / Preprints by Subject "Biomarkers"
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- Body composition analysis in metastatic non-small-cell lung cancer: depicting sarcopenia in Portuguese tertiary carePublication . Mendes, José Leão; Ferreira, Rita Quaresma; Mata, Inês; Barreira, João Vasco; Rodrigues, Ysel Chiara; Dias, David Silva; Capelas, Manuel; Mäkitie, Antti; Guerreiro, Inês; Pimenta, Nuno; Ravasco, PaulaBackground/Objectives: Sarcopenia is an emergent prognostic biomarker in clinical oncology. Albeit increasingly defined through skeletal muscle index (SMI) thresholding, literature cut-offs fail to discern heterogeneous baseline muscularity across populations. This study assesses the prognostic impact of using cohort-specific SMI thresholds in a Portuguese metastatic non-small-cell lung cancer (mNSCLC) cohort. Methods: Retrospective study including mNSCLC patients treated between January 2017 and December 2022. ImageJ v1.54g was used to assess cross-sectional CT imaging at the third lumbar vertebra (L3) and calculate L3SMI. Sarcopenia was defined both according to Prado et al. and L3SMI thresholds derived from receiver operating characteristic analysis. Overall survival (OS) was the primary endpoint. Secondary endpoints included first-line (1L) progression-free survival (PFS) and sarcopenia subgroup analysis regarding body mass index impact on OS. Results: The initial cohort included 197 patients. Mean age was 65 years (± 11.31). Most tumors were adenocarcinomas (n = 165) and presented with metastasis (n = 154). SMI was evaluable in 184 patients: cohort-specific thresholds (< 49.96 cm2/m2 for men; < 34.02 cm2/m2 for women) yielded 46.74% sarcopenic patients (n = 86) versus 66.30% (n = 122) per the literature definition. Cohort-specific thresholds predicted both OS (12.75 versus 21.13 months, hazard ratio [HR] 1.654, p = 0.002) and PFS (7.92 versus 9.56 months, HR 1.503, p = 0.01). Conversely, Prado et al. definition lacked prognostic value. Among sarcopenic patients, overweight (HR 0.417, p = 0.01) and obesity (HR 2.723, p = 0.039) had contrasting impacts on OS. Conclusions: Amid reclassification of nearly one-fifth of the cohort, cohort-specific thresholds improved sarcopenia prognostication in mNSCLC. Homogeneity regarding both cancer treatment setting and ethnicity could be key to defining sarcopenia based on SMI.
- Saliva for diabetes’ complications: non-invasive diagnostics and monitoringPublication . Esteves, Eduardo; Mendes, Vera; Manadas, Bruno; Lemos, António; Alves, Dora; Bernardino, Liliana; Correia, Maria; Barros, Marlene; Esteves, Ana C.; Rosa, NunoType 2 Diabetes Mellitus is a chronic metabolic disease that poses a significant long-term health risk due to its debilitating complications. While the diagnosis and monitoring of diabetes are well-established, the monitoring of its numerous complications presents a challenge, which can compromise patients' prognosis and quality of life. We analyzed the proteome of ten saliva samples, five from healthy individuals and five from patients with Type 2 Diabetes Mellitus. The aim was to identify potential biomarkers of Type 2 Diabetes Mellitus and its complications. We used PANTHER and FUNRICH tools to conduct a functional analysis and enrichment approach. Our findings revealed 622 proteins involved in 16 disrupted biological processes, which are linked to Type 2 Diabetes Mellitus. Metabolic processes, response to stimuli, processes of the immune system, and signaling are notable due to their known relation with Type 2 Diabetes Mellitus. Enrichment analysis has revealed that there are eleven biological processes that have been deregulated. These processes involve twenty different salivary proteins that are associated with multiple complications in diabetes. Our findings demonstrate that saliva is a dependable source of possible biomarkers that can be used to monitor diabetes and its complications.