Browsing by Author "Rodríguez, A."

Now showing 1 - 5 of 5
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    Dynamic overconfidence : a growth curve and cross lagged analysis of accuracy, confidence, overestimation and their relations
    (2020) Kausel, Edgar E.; Carrasco, F.; Reyes, Tomás H.; Hirmas, A.; Rodríguez, A.
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    High Glucose Increases B1-Kinin Receptor Expression and Signaling in Endothelial Cells
    (2006) Rodríguez, A.; Boric P., Mauricio; Velarde Aliaga, María Victoria
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    Ki67 dynamic predicts endocrine sensitivity in estrogen receptor-positive/ HER2-negative breast cancer patients undergoing preoperative endocrine therapy
    (2025) Gómez-Bravo, R.; Walbaum, B.; Bergamino, M.; Martínez-Sáez, O.; Schettini, F.; Seguí, E.; García-Fructuoso, I.; Pascual, T.; Chic, N.; González, M.; Rodríguez, A.; Rey, M.; Giménez-Xavier, P.; Blasco, P.; Castillo, O.; Galván, P.; Sanfeliu, E.; González-Farré, B.; Vidal, M.; Adamo, B.; Brasó-Maristany, F.; Prat, A.; Muñoz, M.
    Background: Early decrease in Ki67 after a short preoperative course of endocrine therapy (ET) has shown prognostic and predictive value in clinical research, but its applicability and reproducibility in routine clinical practice remain largely unknown. We therefore assessed on-treatment Ki67 changes following a short preoperative ET and its association with biological variables, such as intrinsic subtype and risk of recurrence (ROR), plus long-term outcomes, in a real-world cohort of patients with early estrogen receptor-positive, human epidermal growth factor receptor 2-negative (ER+/HER2-negative) breast cancer. Methods: We conducted a retrospective, registry-based analysis of 230 consecutive patients with early ER+/HER2− breast cancer treated as per standard clinical care at the Breast Unit of the Clinic Barcelona Comprehensive Cancer Center between 2014 and 2023. All patients received preoperative ET, tamoxifen, or an aromatase inhibitor (AI), for 2-12 weeks before surgery. Clinical and pathological variables were collected and stratified by Ki67 response: “responders” (post-treatment Ki67 0% to 10%) and “complete cell cycle arrest (CCCA) responders” (Ki67 ≤2.7%). PAM50/Prosigna was used to determine intrinsic subtypes and ROR-score. Event-free survival was estimated using Kaplan—Meier curves, and associations were tested using Cox proportional hazards regression. Results: The median duration of preoperative ET was 5 weeks (min-max range, 2-12 weeks). Overall, 196 patients (85.2%) met the Ki67 response criterion and 111 (48.3%) achieved CCCA. Response rates were significantly higher in postmenopausal compared with premenopausal women (P = 0.004). Notably, 95.6% of postmenopausal patients received an AI, whereas all premenopausal women were treated with tamoxifen. Additionally, response varied by intrinsic subtype, favoring Luminal A tumors (P = 0.047). In multivariable models, postmenopausal status and higher baseline ER expression were independently associated with both Ki67 response and CCCA, whereas a lower baseline ROR-score predicted CCCA. After a median follow-up of 47 months, CCCA was associated with significantly improved event-free survival [hazard ratio (HR) = 0.19; 95% CI (confidence interval) 0.05-0.72; P value = 0.012]. Conclusion: In routine practice, a short course of preoperative ET yields substantial reductions in tumor proliferation. Early assessment of Ki67 suppression offers a readily accessible indicator of endocrine sensitivity, and achieving CCCA identifies patients who have a more favorable prognosis and thus are potentially eligible to de-escalate in treatment strategies.
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    Loss of Expression of Reprimo, a p53-induced Cell Cycle Arrest Gene, Correlates with Invasive Stage of Tumor Progression and p73 Expression in Gastric Cancer
    (2015) Saavedra, K.; Valbuena Mora, José Rafael; Olivares, W.; Marchant, M.; Rodríguez, A.; Torres, V.; Carrasco, G.; Gúzman, L.; Aguayo González, Francisco; Roa Strauch, Juan Carlos Enrique; Corvalán R., Alejandro
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    Maternal thyroid profile in first and second trimester of pregnancy is correlated with gestational diabetes mellitus through machine learning
    (2021) Araya, J.; Rodríguez, A.; Lagos SanMartin, K.; Mennickent, D.; Gutiérrez Vega, S.; Ortega Contreras, B.; Valderrama Gutiérrez, B.; González, M.; Farías Jofré, Marcelo Enrique; Guzmán Gutiérrez, E.