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1.
Br J Surg ; 106(10): 1298-1310, 2019 09.
Artigo em Inglês | MEDLINE | ID: mdl-31216064

RESUMO

BACKGROUND: The current standard of care in locally advanced rectal cancer (LARC) is neoadjuvant long-course chemoradiotherapy (nCRT) followed by total mesorectal excision (TME). Surgery is conventionally performed approximately 6-8 weeks after nCRT. This study aimed to determine the effect on outcomes of extending this interval. METHODS: A systematic search was performed for studies reporting oncological results that compared the classical interval (less than 8 weeks) from the end of nCRT to TME with a minimum 8-week interval in patients with LARC. The primary endpoint was the rate of pathological complete response (pCR). Secondary endpoints were recurrence-free survival, local recurrence and distant metastasis rates, R0 resection rates, completeness of TME, margin positivity, sphincter preservation, stoma formation, anastomotic leak and other complications. A meta-analysis was performed using the Mantel-Haenszel method. RESULTS: Twenty-six publications, including four RCTs, with 25 445 patients were identified. A minimum 8-week interval was associated with increased odds of pCR (odds ratio (OR) 1·41, 95 per cent c.i. 1·30 to 1·52; P < 0·001) and tumour downstaging (OR 1·18, 1·05 to 1·32; P = 0·004). R0 resection rates, TME completeness, lymph node yield, sphincter preservation, stoma formation and complication rates were similar between the two groups. The increased rate of pCR translated to reduced distant metastasis (OR 0·71, 0·54 to 0·93; P = 0·01) and overall recurrence (OR 0·76, 0·58 to 0·98; P = 0·04), but not local recurrence (OR 0·83, 0·49 to 1·42; P = 0·50). CONCLUSION: A minimum 8-week interval from the end of nCRT to TME increases pCR and downstaging rates, and improves recurrence-free survival without compromising surgical morbidity.


ANTECEDENTES: El tratamiento estándar actual del cáncer de recto localmente avanzado (locally advanced rectal cancer, LARC) consiste en quimiorradioterapia neoadyuvante de ciclo largo (neoadjuvant, long-course chemoradiation, nCRT) seguida de exéresis total del mesorrecto (total mesorectal excision, TME). De forma convencional, la cirugía se realiza a las 6-8 semanas después de la nCRT. Este estudio tuvo como objetivo determinar el efecto sobre los resultados de ampliar este intervalo. MÉTODOS: Se realizó una búsqueda sistemática de los estudios que analizaban los resultados oncológicos, comparando el intervalo clásico (< 8 semanas) desde el final de la nCRT hasta la TME con un intervalo mínimo de 8 semanas, en pacientes con LARC. El criterio de valoración principal fue la tasa de respuesta patológica completa (pathologic complete response, pCR). Los criterios de valoración secundarios fueron las tasas de supervivencia sin recidiva (recurrence-free survival, RFS), recidiva local (local recurrence, LR) y metástasis a distancia (distant metastasis, DM), tasas de resección R0, integridad (completeness) del mesorrecto, afectación del margen de resección, preservación esfinteriana, formación de estoma, fuga anastomótica y otras complicaciones. Se realizó un metaanálisis utilizando el método de Mantel-Haenszel. RESULTADOS: Se identificaron 26 publicaciones, incluidos cuatro ensayos clínicos aleatorizados, con 17.220 pacientes. Un intervalo mínimo de 8 semanas se asoció con un aumento de la razón de oportunidades (odds ratio, OR) de pCR (OR, 1,68, i.c. del 95% 1,37-2,06, P < 0,001) y de disminución del estadio tumoral (OR 1,18, i.c. del 95% 1,05-1,32, P = 0,004). Los porcentajes de resección R0, integridad del mesorrecto, ganglios linfáticos identificados, preservación esfinteriana, formación de estoma y complicaciones fueron similares entre los dos grupos. El aumento del porcentaje de pCR se tradujo en una disminución de las DM (OR 0,71, i.c. del 95% 0,54-0,93, P = 0,01) y de la recidiva global (OR 0,76, i.c. del 95% 0,58-0,98, P = 0,04), pero no de la LR (OR 0,83, i.c. del 95% 0,49-1,42, P = 0,50). CONCLUSIÓN: Un intervalo mínimo de 8 semanas entre el final de la nCRT y la TME aumenta las tasas de pCR y la reducción del estadio tumoral, así como mejora la RFS sin comprometer la morbilidad quirúrgica.


Assuntos
Quimiorradioterapia Adjuvante/métodos , Neoplasias Retais/terapia , Reto/cirurgia , Perda Sanguínea Cirúrgica/estatística & dados numéricos , Ensaios Clínicos como Assunto , Intervalo Livre de Doença , Humanos , Estudos Observacionais como Assunto , Duração da Cirurgia , Tratamentos com Preservação do Órgão/métodos , Complicações Pós-Operatórias/etiologia , Neoplasias Retais/mortalidade , Neoplasias Retais/cirurgia , Reoperação/estatística & dados numéricos , Fatores de Tempo , Resultado do Tratamento
2.
Bioinformatics ; 29(16): 1987-96, 2013 Aug 15.
Artigo em Inglês | MEDLINE | ID: mdl-23749986

RESUMO

MOTIVATION: By capturing various biochemical interactions, biological pathways provide insight into underlying biological processes. Given high-dimensional microarray or RNA-sequencing data, a critical challenge is how to integrate them with rich information from pathway databases to jointly select relevant pathways and genes for phenotype prediction or disease prognosis. Addressing this challenge can help us deepen biological understanding of phenotypes and diseases from a systems perspective. RESULTS: In this article, we propose a novel sparse Bayesian model for joint network and node selection. This model integrates information from networks (e.g. pathways) and nodes (e.g. genes) by a hybrid of conditional and generative components. For the conditional component, we propose a sparse prior based on graph Laplacian matrices, each of which encodes detailed correlation structures between network nodes. For the generative component, we use a spike and slab prior over network nodes. The integration of these two components, coupled with efficient variational inference, enables the selection of networks as well as correlated network nodes in the selected networks. Simulation results demonstrate improved predictive performance and selection accuracy of our method over alternative methods. Based on three expression datasets for cancer study and the KEGG pathway database, we selected relevant genes and pathways, many of which are supported by biological literature. In addition to pathway analysis, our method is expected to have a wide range of applications in selecting relevant groups of correlated high-dimensional biomarkers. AVAILABILITY: The code can be downloaded at www.cs.purdue.edu/homes/szhe/software.html. CONTACT: alanqi@purdue.edu.


Assuntos
Perfilação da Expressão Gênica , Redes Reguladoras de Genes , Algoritmos , Teorema de Bayes , Carcinoma Ductal Pancreático/genética , Carcinoma Ductal Pancreático/metabolismo , Neoplasias Colorretais/genética , Neoplasias Colorretais/metabolismo , Bases de Dados Factuais , Genômica/métodos , Humanos , Linfoma Difuso de Grandes Células B/genética , Linfoma Difuso de Grandes Células B/metabolismo , Neoplasias Pancreáticas/genética , Neoplasias Pancreáticas/metabolismo
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