Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Más filtros











Intervalo de año de publicación
1.
Recenti Prog Med ; 115(5): 13e-16e, 2024 May.
Artículo en Italiano | MEDLINE | ID: mdl-38708541

RESUMEN

Paraneoplastic leukemoid reaction (PLR) is an extremely rare condition in patients with melanoma and it is frequently associated with poor prognosis. BRAF gene mutational analysis represents the gold standard in patients with inoperable or metastatic melanoma as the possible presence of target mutations allows the use of the combination treatment with BRAF and MEK inhibitors. In this article, the case of a young woman with BRAF V600E mutated metastatic melanoma associated with PLR who received encorafenib and binimetinib is presented and discussed, with a focus on the relevant treatment response.


Asunto(s)
Protocolos de Quimioterapia Combinada Antineoplásica , Bencimidazoles , Carbamatos , Melanoma , Proteínas Proto-Oncogénicas B-raf , Neoplasias Cutáneas , Sulfonamidas , Humanos , Melanoma/tratamiento farmacológico , Melanoma/genética , Melanoma/patología , Femenino , Carbamatos/administración & dosificación , Sulfonamidas/administración & dosificación , Protocolos de Quimioterapia Combinada Antineoplásica/administración & dosificación , Protocolos de Quimioterapia Combinada Antineoplásica/efectos adversos , Proteínas Proto-Oncogénicas B-raf/genética , Bencimidazoles/administración & dosificación , Neoplasias Cutáneas/tratamiento farmacológico , Neoplasias Cutáneas/patología , Neoplasias Cutáneas/genética , Adulto , Mutación , Resultado del Tratamiento
2.
Cells ; 11(24)2022 12 08.
Artículo en Inglés | MEDLINE | ID: mdl-36552729

RESUMEN

Artificial intelligence (AI), a field of research in which computers are applied to mimic humans, is continuously expanding and influencing many aspects of our lives. From electric cars to search motors, AI helps us manage our daily lives by simplifying functions and activities that would be more complex otherwise. Even in the medical field, and specifically in oncology, many studies in recent years have highlighted the possible helping role that AI could play in clinical and therapeutic patient management. In specific contexts, clinical decisions are supported by "intelligent" machines and the development of specific softwares that assist the specialist in the management of the oncology patient. Melanoma, a highly heterogeneous disease influenced by several genetic and environmental factors, to date is still difficult to manage clinically in its advanced stages. Therapies often fail, due to the establishment of intrinsic or secondary resistance, making clinical decisions complex. In this sense, although much work still needs to be conducted, numerous evidence shows that AI (through the processing of large available data) could positively influence the management of the patient with advanced melanoma, helping the clinician in the most favorable therapeutic choice and avoiding unnecessary treatments that are sure to fail. In this review, the most recent applications of AI in melanoma will be described, focusing especially on the possible finding of this field in the management of drug treatments.


Asunto(s)
Inteligencia Artificial , Melanoma , Humanos , Melanoma/terapia , Oncología Médica , Programas Informáticos , Medicina de Precisión
3.
Clin Cancer Res ; 27(24): 6815-6823, 2021 12 15.
Artículo en Inglés | MEDLINE | ID: mdl-34583970

RESUMEN

PURPOSE: We assessed the immunogenicity and safety of the BNT162b2 vaccine in a large cohort of patients with cancer (CP). EXPERIMENTAL DESIGN: From March 1, 2021 to March 20, 2021, this prospective cohort study included 816 CP afferent to our institution and eligible for the vaccination. A cohort of 274 health care workers (HCW) was used as age- and sex-matched control group. BNT162b2 was administered as a two-dose regimen given 21 days apart. Blood samples to analyze anti-Spike (S) IgG antibodies (Ab) were collected prevaccination [timepoint (TP) 0], and at 3 weeks (TP1) and 7 weeks (TP2) after the first dose. RESULTS: Patients characteristics: median age 62 (range, 21-97); breast/lung cancer/others (31/21/48%); active treatment/follow-up (90/10%). In the whole CP cohort, the serologic response rate (RR) and the titre of anti-S IgG significantly increased across the TPs; at TP2, the responders (IgG >15 AU/mL) were 94.2%. Active chemotherapy and chronic use of steroids were independent predictors of lower RR. Adverse events (AE) after the booster predicted higher likelihood of response (OR, 4.04; 95% confidence interval, 1.63-9.99; P = 0.003). Comparing the matched cohorts, the responders were significantly lower in CP than in HCW at TP1 (61.2% vs. 93.2%) and TP2 (93.3% vs. 100%), while the geometric mean concentration of IgG did not significantly differ at TP2 being significantly lower in CP (23.3) than in HCW (52.1) at TP1. BNT162b2 was well tolerated in CP; severe-grade AEs were 3.5% and 1.3% after the first and second doses, respectively. CONCLUSIONS: BNT162b2 assures serologic immunization without clinically significant toxicity in CP. The second dose is needed to reach a satisfactory humoral response.


Asunto(s)
Anticuerpos Antivirales/sangre , Vacuna BNT162/inmunología , Neoplasias de la Mama/tratamiento farmacológico , COVID-19/prevención & control , Neoplasias Pulmonares/tratamiento farmacológico , SARS-CoV-2/inmunología , Adulto , Anciano , Anciano de 80 o más Años , Antineoplásicos/uso terapéutico , Vacuna BNT162/efectos adversos , Comorbilidad , Femenino , Humanos , Inmunización , Inmunoglobulina G/sangre , Terapia de Inmunosupresión , Masculino , Persona de Mediana Edad , Estudios Prospectivos , Glicoproteína de la Espiga del Coronavirus/inmunología , Adulto Joven
SELECCIÓN DE REFERENCIAS
DETALLE DE LA BÚSQUEDA