Por Gonzalo Barroso -26 septiembre, 2018.
La inteligencia artificial se encuentra en un punto crucial para ayudar a la industria farmacéutica a mejorar y alcanzar nuevas cotas de desarrollo y eficiencia. Así se ha puesto de manifiesto durante la segunda jornada de Biospain 2018, en la que se ha explicado cómo esta tecnología puede impactar y ayudar al sector salud.
Carlos Galmarini, responsable de biología celular y farmacogenómica en PharmaMar, ha afirmado que “necesitamos traducir los datos en un lenguaje que las máquinas puedan entender” y que, en este sentido, la clave pasa por ver “cómo podemos tomar ventaja de esta nueva realidad”. Así, tras repasar ejemplos prácticos de inteligencia artificial aplicada al sector salud, entre ellos un programa que permite comparar el rastro genético de un número significativo de casos de cáncer en poco tiempo, ha destacado que “podemos usar este tipo de inteligencia artificial para crear organizaciones más inteligentes e investigaciones más eficientes”. Un nuevo paradigma que facilitará la obtención de resultados más rápidos y precisos porque la inteligencia artificial “puede ayudarnos a ser más inteligentes”.
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Cristina Cruz; Alba Llop-Guevara; Judy E. Garber; Banu K. Arun; José A. Pérez Fidalgo; Ana Lluch; Melinda L. Telli; Cristian Fernández; Carmen Kahatt; Carlos M. Galmarini; Arturo Soto-Matos; Vicente Alfaro; Aitor Pérez de la Haza; Susan M. Domchek; Silvia Antolin; Linda Vahdat; Nadine M. Tung; Rafael Lopez; Joaquín Arribas; Ana Vivancos; José Baselga; Violeta Serra; Judith Balmaña; Steven J. Isakoff .
Purpose
This multicenter phase II trial evaluated lurbinectedin (PM01183), a selective inhibitor of active transcription of protein-coding genes, in patients with metastatic breast cancer. A unicenter translational substudy assessed potential mechanisms of lurbinectedin resistance.
Patients and Methods
Two arms were evaluated according to germline BRCA1/2status: BRCA1/2 mutated (arm A; n = 54) and unselected (BRCA1/2 wild-type or unknown status; arm B; n = 35). Lurbinectedin starting dose was a 7-mg flat dose and later, 3.5 mg/m2 in arm A. The primary end point was objective response rate (ORR) per Response Evaluation Criteria in Solid Tumors (RECIST). The translational substudy of resistance mechanisms included exome sequencing (n = 13) and in vivo experiments with patient-derived xenografts (n = 11) from BRCA1/2-mutated tumors.
Results
ORR was 41% (95% CI, 28% to 55%) in arm A and 9% (95% CI, 2% to 24%) in arm B. In arm A, median progression-free survival was 4.6 months (95% CI, 3.0 to 6.0 months), and median overall survival was 20.0 months (95% CI, 11.8 to 26.6 months). Patients with BRCA2 mutations showed an ORR of 61%, median progression-free survival of 5.9 months, and median overall survival of 26.6 months. The safety profile improved with lurbinectedin dose adjustment to body surface area. The most common nonhematologic adverse events seen at 3.5 mg/m2 were nausea (74%; grade 3, 5%) and fatigue (74%; grade 3, 21%). Neutropenia was the most common severe hematologic adverse event (grade 3, 47%; grade 4, 10%). Exome sequencing showed mutations in genes related to the nucleotide excision repair pathway in four of seven tumors at primary or acquired resistance and in one patient with short-term stable disease. In vivo, sensitivity to cisplatin and lurbinectedin was evidenced in lurbinectedin-resistant (one of two) and cisplatin-resistant (two of three) patient-derived xenografts.
Conclusion
Lurbinectedin showed noteworthy activity in patients with BRCA1/2 mutations. Response and survival was notable in those with BRCA2 mutations. Additional clinical development in this subset of patients with metastatic breast cancer is warranted.












































