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1.
Br J Anaesth ; 125(3): 346-357, 2020 09.
Artículo en Inglés | MEDLINE | ID: mdl-32611524

RESUMEN

BACKGROUND: The prevalence and intensity of persistent post-surgical pain (PPSP) after breast cancer surgery are uncertain. We conducted a systematic review and meta-analysis to further elucidate this issue. METHODS: We searched MEDLINE, Embase, CINAHL, and PsycINFO, from inception to November 2018, for observational studies reporting persistent pain (≥3 months) after breast cancer surgery. We used random-effects meta-analysis and the Grading of Recommendations, Assessment, Development and Evaluations approach to rate quality of evidence. RESULTS: We included 187 observational studies with 297 612 breast cancer patients. The prevalence of PPSP ranged from 2% to 78%, median 37% (inter-quartile range: 22-48%); the pooled prevalence was 35% (95% confidence interval [CI]: 32-39%). The pooled pain intensity was 3.9 cm on a 10 cm visual analogue scale (95% CI: 3.6-4.2 cm). Moderate-quality evidence supported the subgroup effects of PPSP prevalence for localized pain vs any pain (29% vs 44%), moderate or greater vs any pain (26% vs 44%), clinician-assessed vs patient-reported pain (23% vs 36%), and whether patients underwent sentinel lymph node biopsy vs axillary lymph node dissection (26% vs 43%). The adjusted analysis found that the prevalence of patient-reported PPSP (any severity/location) was 46% (95% CI: 36-56%), and the prevalence of patient-reported moderate-to-severe PPSP at any location was 27% (95% CI: 10-43%). CONCLUSIONS: Moderate-quality evidence suggests that almost half of all women undergoing breast cancer surgery develop persistent post-surgical pain, and about one in four develop moderate-to-severe persistent post-surgical pain; the higher prevalence was associated with axillary lymph node dissection. Future studies should explore whether nerve sparing for axillary procedures reduces persistent post-surgical pain after breast cancer surgery.


Asunto(s)
Neoplasias de la Mama/cirugía , Dolor Crónico/epidemiología , Estudios Observacionales como Asunto , Dolor Postoperatorio/epidemiología , Neoplasias de la Mama/epidemiología , Femenino , Humanos , Prevalencia , Índice de Severidad de la Enfermedad
2.
Oncotarget ; 7(50): 83115-83133, 2016 Dec 13.
Artículo en Inglés | MEDLINE | ID: mdl-27825118

RESUMEN

Evidence supports the upregulation of MUC1 in prostate cancer (PC). However, this has not been thoroughly investigated. We report here an association of MUC1 upregulation with PC metastasis and the development of castration resistant PC (CRPC). MUC1 expression was specifically increased in DU145 cell-derived PC stem-like cells (PCSLCs) in comparison to their non-PCSLCs counterparts. While immunohistochemistry staining of 34 primary PCs revealed variability in MUC1 expression, Nanostring technology demonstrated elevated MUC1 mRNA levels in 4 of 7 PCs compared to their normal matched tissues. By analyzing MUC1 mRNA levels and gene copy number (GCN) using the OncomineTM database, elevations in MUC1 mRNA in 82 metastases versus 280 primary PCs and in MUC1 GCN in 37 metastases over 181 primary tumors were demonstrated. Analysis of genomic datasets within cBioPortal revealed increases in MUC1 GCN in 2% (6/333) of primary PCs, 6% (9/150) of metastatic PCs, and 33% (27/82) of CRPCs; in comparison, the respective increase in androgen receptor (AR) GCN was 1%, 63%, and 56%, revealing a specific increase in MUC1 GCN for CRPC. Furthermore, a 25-gene MUC1 network was amplified in 52% of CRPCs compared to 69% of CRPCs displaying increases in an AR co-regulator group. While genomic alterations in the MUC1 network largely overlap with those in the AR group, 18 CRPCs (66.7% being neuroendocrine PC) showed genomic alterations only in the MUC1 network. Moreover, genomic alterations in the MUC1 network correlated with PC relapse. Collectively, our observations suggest a combination therapy involving MUC1-based immunotherapy and androgen deprivation.


Asunto(s)
Adenocarcinoma/genética , Biomarcadores de Tumor/genética , Amplificación de Genes , Mucina-1/genética , Tumores Neuroendocrinos/genética , Neoplasias de la Próstata Resistentes a la Castración/genética , Neoplasias de la Próstata/genética , Adenocarcinoma/metabolismo , Adenocarcinoma/secundario , Adenocarcinoma/terapia , Anciano , Anciano de 80 o más Años , Animales , Antineoplásicos Fitogénicos/farmacología , Biomarcadores de Tumor/metabolismo , Línea Celular Tumoral , Movimiento Celular/efectos de los fármacos , Biología Computacional , Bases de Datos Genéticas , Progresión de la Enfermedad , Supervivencia sin Enfermedad , Docetaxel , Dosificación de Gen , Regulación Neoplásica de la Expresión Génica , Redes Reguladoras de Genes , Humanos , Masculino , Ratones Endogámicos NOD , Ratones SCID , Persona de Mediana Edad , Mucina-1/metabolismo , Células Madre Neoplásicas/efectos de los fármacos , Células Madre Neoplásicas/metabolismo , Células Madre Neoplásicas/patología , Tumores Neuroendocrinos/metabolismo , Tumores Neuroendocrinos/secundario , Tumores Neuroendocrinos/terapia , Neoplasias de la Próstata/metabolismo , Neoplasias de la Próstata/patología , Neoplasias de la Próstata/terapia , Neoplasias de la Próstata Resistentes a la Castración/metabolismo , Neoplasias de la Próstata Resistentes a la Castración/patología , Neoplasias de la Próstata Resistentes a la Castración/terapia , ARN Mensajero/genética , ARN Mensajero/metabolismo , Receptores Androgénicos/metabolismo , Transducción de Señal , Análisis de Supervivencia , Taxoides/farmacología , Factores de Tiempo , Regulación hacia Arriba , Ensayos Antitumor por Modelo de Xenoinjerto
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