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1.
Chinese Journal of Hematology ; (12): 512-517, 2019.
Artigo em Chinês | WPRIM | ID: wpr-1012023

RESUMO

Objective: To compare the sensitivity of 8-color panels and next generation flow cytometry (NGF) for detecting minimal residual disease of multiple myeloma patients. Methods: 8-color-membrane antigens (8C-Mem) panel was built including CD45, CD38, CD138, CD19, CD56, CD81, CD27 and CD117 to identify the plasma cells, while 8-color-cytoplasmic antigens (8C-Cyto) panel was built including CD45, CD38, CD138, CD19, CD56, CD81, cKappa (cK) and cLambda (cλ) , and 8-color-two-tubes (8C-2tubes) panel were built including 8C-Mem and 8C-Cyto panels, the data of three groups was analyzed by Diva software. NGF uses Infinicyt software to fuse 8C-2tubes data to further analyze the expression of plasma antigens. Bone marrow aspiration obtained from 20 controls and 76 multiple myeloma patients who achieved complete remission were measured and analyzed. Results: Positive MRD samples were discriminated in 88.2% of the specimen evaluated through either abnormal plasma cells (aPCs) or clonal plasma cells (cPCs) by NGF antigens panel, Among of them, consistency was 94.7%. The median percentage of cPCs was 0.3530%, The lowest sensitivity of NGF was 0.0003%. In 8-color panels, the positive MRD rates of 8C-Mem, 8C-Cyto and 8C-2tubes panels were 84.2%, 85.5% and 86.8%, respectively, which lower than that of NGF (P<0.001) . The positive MRD rate of 8C-Mem and 8C-Cyto panels were lower than that of 8C-2tubes panel (P<0.001) , and the positive MRD rate of 8C-Mem panel was lower than that of 8C-Cyto panel (P<0.001) . Sensitivity and specificity of NGF was higher than that of 8-color panels. 8C-2tubes panel has the best sensitivity, accuracy, negative predicted value, positive predicted value and specificity than other 8-color panels. However, huge data and low efficiency for analysis is the disadvantage. 8C-Cyto panel was the second choice, and 8C-Mem panel was the last. Conclusions: Membrane and cytoplasmic light chain is a better method for multiple myeloma-MRD detection and NGF panel is an ideal approach. 8C-Cyto panel is recommended in 8-MFC groups.


Assuntos
Humanos , Medula Óssea , Citometria de Fluxo , Imunofenotipagem , Mieloma Múltiplo/diagnóstico , Neoplasia Residual , Plasmócitos
2.
Journal of Southern Medical University ; (12): 1448-1451, 2011.
Artigo em Chinês | WPRIM | ID: wpr-333889

RESUMO

<p><b>OBJECTIVE</b>To analyze the expression of deleted in liver cancer 1 (DLC1) and phosphorelated focal adhesion kinase (p-FAK) in breast cancer tissue to further understand the molecular mechanisms of the carcinogenesis and metastasis of breast cancer.</p><p><b>METHODS</b>Immunohistochemistry was employed to determine the protein level of DLC1 and p-FAK in 61 breast cancer, 30 benign breast disease and the adjacent normal breast tissues.</p><p><b>RESULTS</b>The positivity rates of DLC1 differed significantly between breast cancer, benign and normal tissues (34.43%, 80.00% and 76.67%, respectively, P<0.001). The positivity rates of p-FAK in the 3 tissues were 77.05%, 33.33% and 26.67%, also showing significant differences (P<0.001). The aberrant expression of DLC1 showed an inverse correlation to p-FAK (κ=-0.4591). Both DLC1 and p-FAK were closely correlated to the carcinogenesis, clinical stage, PR and lymphatic metastasis of breast cancer (P<0.05), but not to the patients age, pathological subtype, familial history, ER or CerbB-2 (P>0.05).</p><p><b>CONCLUSION</b>The abnormal expression of DLC1 and p-FAK might participate in the carcinogenesis, progression, and metastasis of breast cancer. The role of DLC1 and p-FAK might be related to the regulation of progestone. DLC1 and p-FAK may serve as candidate markers for early diagnosis, prognostic evaluation and target treatment of breast cancer.</p>


Assuntos
Adulto , Feminino , Humanos , Pessoa de Meia-Idade , Neoplasias da Mama , Metabolismo , Patologia , Carcinoma Ductal de Mama , Metabolismo , Patologia , Quinase 1 de Adesão Focal , Metabolismo , Proteínas Ativadoras de GTPase , Metabolismo , Metástase Linfática , Fosforilação , Prognóstico , Receptores de Progesterona , Metabolismo , Proteínas Supressoras de Tumor , Metabolismo
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