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1.
Cancer ; 128(11): 2182-2192, 2022 06 01.
Artículo en Inglés | MEDLINE | ID: mdl-35363879

RESUMEN

BACKGROUND: Peptide receptor radionuclide therapy (PRRT) has shown favorable results in neuroendocrine tumors (NETs). Long-term safety and efficacy data for 177 Lu-octreotate PRRT, particularly in combination with chemotherapy, is lacking. METHODS: The authors conducted a retrospective review of the long-term toxicity and survival outcomes of 104 patients with advanced NETs treated on 4 phase 2 clinical trials with Lutetium-177-octreotate (177 Lu-octreotate) PRRT, mostly in combination with chemotherapy. Median follow-up was 68 months, which represents the longest follow-up study of 177 Lu-octreotate PRRT for NETs to date. RESULTS: Median progression-free survival (PFS) was 37 months, and median overall survival (OS) was 71 months. Five- and 10-year OS were 62% and 29%, and 5- and 10-year PFS were 36% and 21%, respectively, demonstrating 177 Lu-octreotate can provide durable responses. PRRT was well tolerated with 1.9% of patients developing chronic renal impairment and 1% of patients developing long-term thrombocytopenia. Interestingly, there was a relatively high rate of myelodysplasia (MDS)/leukemia (6.7%), possibly attributable to the longer follow-up (with all except 1 case occurring more than 4 years after PRRT treatment) or to the addition of concurrent chemotherapy. CONCLUSIONS: Lutetium-177-Octreotate PRRT remains an efficacious and well tolerated treatment in long-term follow-up. For clinicians deciding on the timing of PRRT for individual patients, the 6.7% long-term risk of MDS/leukemia needs to be balanced against the 21% PFS at 10 years.


Asunto(s)
Leucemia , Tumores Neuroendocrinos , Compuestos Organometálicos , Estudios de Seguimiento , Humanos , Leucemia/tratamiento farmacológico , Tumores Neuroendocrinos/tratamiento farmacológico , Tumores Neuroendocrinos/radioterapia , Octreótido/efectos adversos , Compuestos Organometálicos/efectos adversos , Radioisótopos/efectos adversos
2.
Appl Immunohistochem Mol Morphol ; 27(1): 15-26, 2019 01.
Artículo en Inglés | MEDLINE | ID: mdl-28682833

RESUMEN

Although availability of automated platforms has proliferated, there is no standard practice for computer-assisted generation of scores for mRNA in situ hybridization (ISH) visualized by brightfield microscopic imaging on tissue sections. To address this systematically, an ISH for peptidylprolyl isomerase B (PPIB) (cyclophilin B) mRNA was optimized and applied to a tissue microarray of archival non-small cell lung carcinoma cases, and then automated image analysis for PPIB was refined across 4 commercially available software platforms. Operator experience and scoring results from ImageScope, HALO, CellMap, and Developer XD were systematically compared with each other and to manual pathologist scoring. Markup images were compared and contrasted for accuracy, the ability of the platform to identify cells, and the ease of visual assessment to determine appropriate interpretation. Comparing weighted scoring approaches using H-scores (Developer XD, ImageScope, and manual scoring) a correlation was observed (R value=0.7955), and association between the remaining 2 approaches (HALO and CellMap) was of similar value. ImageScope showed the highest R value in comparison with manual scoring (0.7377). Mean-difference plots showed that HALO produced the highest relative normalized values, suggesting higher relative sensitivity. ImageScope overestimated PPIB ISH signal at the high end of the range scores; however, this tendency was not observed in other platforms. HALO emerged with the highest number of favorable observations, no apparent systematic bias in score generation compared with the other methods, and potentially higher sensitivity to detect ISH. HALO may serve as a tool to empower teams of investigative pathology laboratory scientists to assist pathologists readily with quantitative scoring of ISH.


Asunto(s)
Carcinoma de Pulmón de Células no Pequeñas/diagnóstico , Hibridación in Situ/métodos , Neoplasias Pulmonares/diagnóstico , ARN Mensajero/análisis , Automatización de Laboratorios , Carcinoma de Pulmón de Células no Pequeñas/patología , Línea Celular Tumoral , Ciclofilinas/genética , Humanos , Procesamiento de Imagen Asistido por Computador , Inmunohistoquímica , Neoplasias Pulmonares/patología , Reacción en Cadena de la Polimerasa , Reproducibilidad de los Resultados , Sensibilidad y Especificidad , Programas Informáticos , Análisis de Matrices Tisulares
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