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Validation of LRG1 as a potential biomarker for detection of epithelial ovarian cancer by a blinded study.
Wu, Jing; Yin, Haidi; Zhu, Jianhui; Buckanovich, Ronald J; Thorpe, Jason D; Dai, Jianliang; Urban, Nicole; Lubman, David M.
Afiliación
  • Wu J; University of Michigan, Department of Surgery, Ann Arbor, MI, United States of America.
  • Yin H; University of Michigan, Department of Surgery, Ann Arbor, MI, United States of America.
  • Zhu J; University of Michigan, Department of Surgery, Ann Arbor, MI, United States of America.
  • Buckanovich RJ; University of Michigan, Department of Internal Medicine, Ann Arbor, MI, United States of America.
  • Thorpe JD; Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
  • Dai J; University of Texas MD Anderson Cancer Center, Biostatistics, Houston, TX, United States of America.
  • Urban N; Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America.
  • Lubman DM; University of Michigan, Department of Surgery, Ann Arbor, MI, United States of America.
PLoS One ; 10(3): e0121112, 2015.
Article en En | MEDLINE | ID: mdl-25799488
ABSTRACT

BACKGROUND:

Leucine-rich alpha-2-glycoprotein (LRG1) was found to be differentially expressed in sera from patients with Epithelial Ovarian Cancer (EOC). The aim of this study is to investigate the performance of LRG1 for detection of EOC, including early stage EOC, and to evaluate if LRG1 can complement CA125 in order to improve EOC detection using two independent blinded sample sets. METHODS AND

RESULTS:

Serum LRG1 and CA125 were measured by immunoassays. All assays were performed blinded to clinical data. Using the two independent sample sets (156 participants for sample set 1, and 233 for sample set 2), LRG1 was differentially expressed in EOC cases as compared to healthy, surgical, and benign controls, and its performance was not affected by the conditions of blood collection. The areas under the ROC curve (AUC) for LRG1 in differentiating EOC cases from non-cases were 0.797 and 0.786 for sample set 1 and 2. For differentiating EOC cases from healthy controls, the AUC values for LRG1 were 0.792 and 0.794. At a fixed specificity of 95%, LRG1 detects 52%, and 53.5% of EOC cases from healthy controls for sample set 1 and 2. When combining LRG1 and CA125, the AUC value increased to 0.927, which was improved compared to CA125 (AUC=0.916) (p=0.008) alone in distinguishing EOC cases from non-cases. More importantly, LRG1 also showed potential performance in differentiating early stage EOC from non-cases with an AUC of 0.715 for sample set 1, and 0.690 for sample set 2. The combination of LRG1 and CA125 resulted in an AUC of 0.838, which outperforms CA125 (AUC=0.785) (p=0.018) in detecting early stage EOC cases from non-cases using the larger sample set.

CONCLUSIONS:

LRG1 could be a useful biomarker alone or in combination with CA125 for the diagnosis of ovarian cancer.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Glicoproteínas / Biomarcadores de Tumor / Neoplasias Glandulares y Epiteliales / Antígeno Ca-125 / Proteínas de la Membrana Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2015 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Glicoproteínas / Biomarcadores de Tumor / Neoplasias Glandulares y Epiteliales / Antígeno Ca-125 / Proteínas de la Membrana Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2015 Tipo del documento: Article