Percorrer por autor "Eloy, Catarina"
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- CRABP1, C1QL1 and LCN2 are biomarkers of differentiated thyroid carcinoma, and predict extrathyroidal extensionPublication . Celestino, Ricardo; Nome, Torfinn; Pestana, Ana; Hoff, Andreas M.; Gonçalves, A. Pedro; Pereira, Luísa; Cavadas, Bruno; Eloy, Catarina; Bjøro, Trine; Sobrinho-Simões, Manuel; Skotheim, Rolf I.; Soares, PaulaBackground: The prognostic variability of thyroid carcinomas has led to the search for accurate biomarkers at the molecular level. Follicular thyroid carcinoma (FTC) is a typical example of differentiated thyroid carcinomas (DTC) in which challenges are faced in the differential diagnosis. Methods: We used high-throughput paired-end RNA sequencing technology to study four cases of FTC with different degree of capsular invasion: two minimally invasive (mFTC) and two widely invasive FTC (wFTC). We searched by genes differentially expressed between mFTC and wFTC, in an attempt to find biomarkers of thyroid cancer diagnosis and/or progression. Selected biomarkers were validated by real-time quantitative PCR in 137 frozen thyroid samples and in an independent dataset (TCGA), evaluating the diagnostic and the prognostic performance of the candidate biomarkers. Results: We identified 17 genes significantly differentially expressed between mFTC and wFTC. C1QL1, LCN2, CRABP1 and CILP were differentially expressed in DTC in comparison with normal thyroid tissues. LCN2 and CRABP1 were also differentially expressed in DTC when compared with follicular thyroid adenoma. Additionally, overexpression of LCN2 and C1QL1 were found to be independent predictors of extrathyroidal extension in DTC. Conclusions: We conclude that the underexpression of CRABP1 and the overexpression of LCN2 may be useful diagnostic biomarkers in thyroid tumours with questionable malignity, and the overexpression of LCN2 and C1QL1 maybe useful for prognostic purposes.
- Inking cell blocks improves scanner detection for diagnosis in pathologyPublication . Eloy, Catarina; Neves, Beatriz; Vale, João; Campelos, Sofia; Curado, Mónica; Polónia, AntónioCell blocks may be hard to be totally automatically detected by the scanner (ADS),generating incomplete whole slide images (WSIs), with areas that are not scanned,leading to possible false negative diagnosis. The aim of this study is to test if inkingthe cell blocks helps increasing ADS. Test 1: 15 cell blocks were sectioned, one halfinked black (1HB) and the other inked green (1HG). Each of the halves was individu-ally processed to generate a WSI stained by the H&E. 1HBs and 1HGs had similarscanning time (median 59 s vs. 65 s, p = .126) and file sizes (median 382 Mbvs. 381 Mb, p = .567). The black ink interfered less in the observation (2.2%vs. 44.4%; p < .001) than in the green one. Test 2: 15 cell blocks were sectioned, onehalf inked black (2HB) and the other left unstained/null (2HN). Each of the halveswas individually processed to generate three WSIs—one HE, one periodic-acid Schiff(PAS), and one immunostained by cytokeratin AE1&AE3 (CKAE1AE3). HE and PASWSIs from both 2HN and 2HB groups were all totally ADS and had similar scanningtimes and file sizes. Concerning immunostaining with CKAE1AE3: ADS (46.7%vs. 93.3%; p = .014), median time for scanning (57 s vs. 83 s; p < .001) and file size(178 Mb vs. 338 Mb; p < .001) were reduced significantly in the 2HN group in com-parison with the 2HB. Although increasing scanning time and file size, inking the cellblocks helps increasing ADS after immunostaining, improving the safety and effi-ciency of the digital pathology workflow.
- Optimizing the management of thyroid specimens to efficiently generate whole slide images for diagnosisPublication . Eloy, Catarina; Vale, João; Barros, Mariana; Oliveira, Diana; Mesquita, Morgana; Curado, Mónica; Pinto, João; Polónia, AntónioTransition from optical to digital observation requires an additional procedure in the pathology laboratory, the scanning of glass slides, leading to increased time and digital archive consumption. Thyroid surgical samples often carry the need to collect several tissue fragments that generate many slides to be scanned. This study evaluated the impact of using different inking colours for the surgical margin, section thickness, and glass slide type, in the consumption of time and archive. The series comprehended 40 nodules from 30 patients, including 34 benign nodules in follicular nodular disease, 1 NIFTP, and 5 papillary carcinomas. In 12 nodules, the dominant pattern was microfollicular/solid and in 28 it was macrofollicular. Scanning times/mm2 were longer in red-inked fragments in comparison to green (p=0.04) and black ones (p=0.024), and in blue-inked in comparison to green ones (p=0.043). File sizes/mm2 were larger in red-inked fragments in comparison to green (p=0.008) and black ones (p=0.002). The dominant pattern microfollicular/solid was associated with bigger file size/ mm2 in comparison with the macrofollicular one (p
- TERT promoter mutations are a major indicator of poor outcome in differentiated thyroid carcinomasPublication . Melo, Miguel; Gaspar Da Rocha, Adriana; Vinagre, João; Batista, Rui; Peixoto, Joana; Tavares, Catarina; Celestino, Ricardo; Almeida, Ana; Salgado, Catarina; Eloy, Catarina; Castro, Patrícia; Prazeres, Hugo; Lima, Jorge; Amaro, Teresina; Lobo, Cláudia; Martins, Maria João; Moura, Margarida; Cavaco, Branca; Leite, Valeriano; Cameselle-Teijeiro, José; Carrilho, Francisco; Carvalheiro, Manuela; Maximo, Valdemar; Sobrinho-Simões, Manuel; Soares, PaulaContext: Telomerase promoter mutations (TERT) were recently described in follicular cell-derived thyroid carcinomas (FCDTC) and seem to be more prevalent in aggressive cancers. Objectives: We aimed to evaluate the frequency of TERT promoter mutations in thyroid lesions and to investigate the prognostic significance of such mutations in a large cohort of patients with differentiated thyroid carcinomas (DTCs). Design: This was a retrospective observational study. Setting and Patients: We studied 647 tumors and tumor-like lesions. A total of 469 patients with FCDTC treated and followed in five university hospitals were included. Mean follow-up (±SD) was 7.8 ± 5.8 years. Main Outcome Measures: Predictive value of TERT promoter mutations for distant metastasization, disease persistence at the end of follow-up, and disease-specific mortality. Results: TERT promoter mutations were found in 7.5% of papillary carcinomas (PTCs), 17.1% of follicular carcinomas, 29.0% of poorly differentiated carcinomas, and 33.3% of anaplastic thyroid carcinomas. Patients with TERT-mutated tumors were older (P < .001) and had larger tumors (P = .002). In DTCs, TERT promoter mutations were significantly associated with distant metastases (P < .001) and higher stage (P < .001). Patients with DTC harboring TERT promoter mutations were submitted to more radioiodine treatments (P = .009) with higher cumulative dose (P = .004) and to more treatment modalities (P = .001). At the end of follow-up, patients with TERT-mutated DTCs were more prone to have persistent disease (P = .001). TERT promoter mutations were significantly associated with disease-specific mortality [in the whole FCDTC (P < .001)] in DTCs (P < .001), PTCs (P = .001), and follicular carcinomas (P < .001). After adjusting for age at diagnosis and gender, the hazard ratio was 10.35 (95% confidence interval 2.01–53.24; P = .005) in DTC and 23.81 (95% confidence interval 1.36–415.76; P = .03) in PTCs. Conclusions: TERT promoter mutations are an indicator of clinically aggressive tumors, being correlated with worse outcome and disease-specific mortality in DTC. TERT promoter mutations have an independent prognostic value in DTC and, notably, in PTC.
- Using artificial intelligence to prioritize pathology samples: report of a test drivePublication . Rienda, Iván; Vale, João; Pinto, João; Polónia, António; Eloy, CatarinaThe digital transformation of pathology, through automation and computational tools, addresses current challenges in the field. This study evaluates Paige Pan Cancer, a novel artificial intelligence tool based on the Virchow foundation model, designed to flag invasive cancer in haematoxylin and eosin-stained slides from 16 primary tissue types. Using 62 cases from the Ipatimup Pathology Laboratory, we found the tool had a sensitivity of 93.3% and specificity of 87.5% in biopsies, and 94.7% sensitivity and 75.0% specificity in resections. Overall accuracy was 90.3%. Despite some misclassifications, Paige Pan Cancer demonstrates high sensitivity as a multi-organ screening tool in clinical practice.