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1.
Bioinformatics ; 38(14): 3638-3641, 2022 07 11.
Artículo en Inglés | MEDLINE | ID: mdl-35640971

RESUMEN

SUMMARY: Selecting the optimal cancer cell line for an experiment can be challenging given the diversity of lines available. Here, we present CNpare, which identifies similar cell line models based on genome-wide DNA copy number. AVAILABILITY AND IMPLEMENTATION: CNpare is available as an R package at https://github.com/macintyrelab/CNpare. All analysis performed in the manuscript can be reproduced via the code found at https://github.com/macintyrelab/CNpare_analyses. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.


Asunto(s)
Neoplasias , Programas Informáticos , Humanos , Variaciones en el Número de Copia de ADN , ADN , Neoplasias/genética
2.
Int J Gynecol Cancer ; 32(8): 1009-1016, 2022 08 01.
Artículo en Inglés | MEDLINE | ID: mdl-35437272

RESUMEN

OBJECTIVES: Cancer-related systemic inflammation has been associated with prognosis in multiple cancer types. Conversely, local inflammation, which is characterized by dense intratumoral immune infiltrates, is a favorable predictor of survival outcome. However, these survival associations are not well established in ovarian cancer, particularly in the less frequent endometrioid and clear cell endometriosis associated histotypes. METHODS: This retrospective study included 119 patients (63 endometrioid and 56 clear cell ovarian carcinomas). We performed a comprehensive survival association analysis of both systemic (neutrophil-to-lymphocyte ratio or presence of endometriosis) and local inflammation markers (CD3+ and CD8+ tumor infiltrating lymphocytes) using multivariate Cox proportional hazards models that account for confounding factors. RESULTS: Medium to high levels of intraepithelial CD8+ tumor infiltrating lymphocytes are associated with longer survival in endometrioid ovarian cancer (p=0.04). In addition, we found that intraepithelial CD8+ tumor infiltrating lymphocytes are prognostic in clear cell ovarian cancer (p=0.02), and that intraepithelial CD3+ tumor infiltrating lymphocytes are also associated with improved outcome (p=0.02). Furthermore, intratumoral CD3+ and CD8+ tumor infiltrating lymphocytes showed improved prognosis in the endometrioid subtype (p<0.1). No prognostic value was observed for systemic immune markers. CONCLUSIONS: In this study, patients with endometrioid and clear cell ovarian cancer with moderate to high CD8+ and CD3+ intraepithelial tumor infiltrating lymphocytes had longer overall survival. Higher expression of intratumoral CD3+ and CD8+ tumor infiltrating lymphocytes also showed an improved outcome in endometrioid ovarian cancer. In contrast, systemic inflammation, evaluated by neutrophil-to-lymphocyte ratio or presence of endometriosis, did not have a prognostic impact in these histologic subtypes.


Asunto(s)
Adenocarcinoma de Células Claras , Carcinoma Endometrioide , Endometriosis , Neoplasias Ováricas , Adenocarcinoma de Células Claras/patología , Linfocitos T CD8-positivos , Carcinoma Endometrioide/patología , Carcinoma Epitelial de Ovario/patología , Endometriosis/patología , Femenino , Humanos , Inflamación/metabolismo , Inflamación/patología , Linfocitos Infiltrantes de Tumor , Neoplasias Ováricas/patología , Pronóstico , Estudios Retrospectivos
3.
Genome Biol ; 25(1): 62, 2024 03 04.
Artículo en Inglés | MEDLINE | ID: mdl-38438920

RESUMEN

Cancer cells often exhibit DNA copy number aberrations and can vary widely in their ploidy. Correct estimation of the ploidy of single-cell genomes is paramount for downstream analysis. Based only on single-cell DNA sequencing information, scAbsolute achieves accurate and unbiased measurement of single-cell ploidy and replication status, including whole-genome duplications. We demonstrate scAbsolute's capabilities using experimental cell multiplets, a FUCCI cell cycle expression system, and a benchmark against state-of-the-art methods. scAbsolute provides a robust foundation for single-cell DNA sequencing analysis across different technologies and has the potential to enable improvements in a number of downstream analyses.


Asunto(s)
Benchmarking , Ploidias , Ciclo Celular/genética , División Celular , Análisis de Secuencia de ADN
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