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1.
J Clin Pathol ; 68(9): 710-7, 2015 Sep.
Artículo en Inglés | MEDLINE | ID: mdl-25991737

RESUMEN

AIMS: To evaluate an immunohistochemical panel differentiating endometrial stromal sarcoma (ESS) from uterine leiomyosarcoma (ULMS) and leiomyoma (LM). METHODS: 94 cases (28 ESS, 41 ULMS, 25 LM) were retrieved and arrayed. 10 immunomarkers (estrogen receptor (ER), progesterone receptor (PR), CD10, smooth muscle actin, desmin, h-caldesmon, transgelin, GEM, ASC1, stathmin1) were used. A predictive model was constructed and examined by receiver operating characteristics curve analysis to determine area under the curve (AUC). RESULTS: The combination of ER(+)/PR(+)/CD10(+)/GEM(-)/h-caldesmon(-)/transgelin(-) can predict ESS versus ULMS with AUC predictive value of 0.872 (95% CI 0.784 to 0.961, p<0.0001). The combination of ER(+)/PR(+)/CD10(+)/h-caldesmon(-)/transgelin(-) can predict low grade (LG) ESS from 'LG' ULMS with AUC predictive value of 0.914 (95% CI 0.832 to 0.995, p<0.0001). Finally, ULMS and ESS, including the LGs, were more likely to be stathmin1(+) than LM. CONCLUSIONS: Due to the different clinical course and management, adding novel antibodies (GEM, transgelin) to the well established immunohistochemistry panel seemed to be useful in distinguishing ESS from ULMS and LG ESS from 'LG' ULMS. Finally, stathmin1 expression could be of value in differentiating LM from uterine sarcomas.


Asunto(s)
Biomarcadores de Tumor/análisis , Neoplasias Endometriales/diagnóstico , Leiomioma/diagnóstico , Leiomiosarcoma/diagnóstico , Sarcoma Estromático Endometrial/diagnóstico , Neoplasias Uterinas/diagnóstico , Área Bajo la Curva , Diagnóstico Diferencial , Neoplasias Endometriales/metabolismo , Femenino , Humanos , Inmunohistoquímica/métodos , Leiomioma/metabolismo , Leiomiosarcoma/metabolismo , Curva ROC , Sarcoma Estromático Endometrial/metabolismo , Análisis de Matrices Tisulares , Neoplasias Uterinas/metabolismo
2.
PLoS One ; 10(7): e0130909, 2015.
Artículo en Inglés | MEDLINE | ID: mdl-26132201

RESUMEN

BACKGROUND: The molecular biology and cellular origins of mixed type endometrial carcinomas (MT-ECs) are poorly understood, and a Type II component of 10 percent or less may confer poorer prognoses. METHODOLOGY/PRINCIPAL FINDINGS: We studied 10 cases of MT-EC (containing endometrioid and serous differentiation), 5 pure low-grade endometrioid adenocarcinoma (EAC) and 5 pure uterine serous carcinoma (USC). Endometrioid and serous components of the MT-ECs were macrodissected and the expression of 60 candidate genes compared between MT-EC, pure USC and pure EAC. We found that four genes were differentially expressed when MT-ECs were compared to pure low-grade EAC: CDKN2A (P = 0.006), H19 (P = 0.010), HOMER2 (P = 0.009) and TNNT1 (P = 0.006). Also while we found that even though MT-ECs closely resembled the molecular profiles of pure USCs, they also exhibit lower expression of PAX8 compared to all pure cases combined (P = 0.035). CONCLUSION: Our data suggest that MT-EC exhibits the closest molecular and epidemiological similarities to pure USC and supports clinical observations that suggest patients with MT-EC should receive the same treatment as patients with pure serous carcinoma. Novel specific markers of MT-EC could be of diagnostic utility and could represent novel therapeutic targets in the future.


Asunto(s)
Biomarcadores de Tumor/metabolismo , Carcinoma Endometrioide/metabolismo , Neoplasias Endometriales/metabolismo , Adulto , Anciano , Biomarcadores de Tumor/genética , Carcinoma Endometrioide/genética , Carcinoma Endometrioide/patología , Proteínas Portadoras/genética , Proteínas Portadoras/metabolismo , Inhibidor p16 de la Quinasa Dependiente de Ciclina/genética , Inhibidor p16 de la Quinasa Dependiente de Ciclina/metabolismo , Neoplasias Endometriales/genética , Neoplasias Endometriales/patología , Femenino , Proteínas de Andamiaje Homer , Humanos , Persona de Mediana Edad , Factor de Transcripción PAX8 , Factores de Transcripción Paired Box/genética , Factores de Transcripción Paired Box/metabolismo , ARN Largo no Codificante/genética , Membrana Serosa/patología , Troponina/genética , Troponina/metabolismo
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