BACKGROUND:Wnt5a is able to inhibit canonical Wnt signaling and activate non-canonical Wnt signaling pathway. In recent years, it has been found that non-classical Wnt5a/PCP signaling pathway mediated by Wnt5a plays an important role in the process of bone marrow mesenchymal stem cel proliferation and differentiation, but the underlying mechanism is unclear.
OBJECTIVE:To summarize the progress in downstream effector molecules related to Wnt5a/PCP signaling pathway, and its roles in the chondrogenic and osteogenic differentiation of bone marrow mesenchymal stem cel s.
METHODS:A computer-based online search of CqVip, CNKI and PubMed databases between January 2000 and February 2016 was performed using the Chinese keywords of“BMSCs, Wnt signaling pathways, chondrogenic differentiation, osteogenic differentiation”and English keywords of“BMSCs, chondrogenic differentiation, osteogenic differentiation, Wnt, Fzd, Ror2, RhoA, ROCK, JNK”, respectively. Literatures related to bone marrow mesenchymal stem cel chondrogenic and osteogenic differentiation were selected. Final y, 43 eligible articles were included for analysis through excluding the old and repeated research.
RESULTS AND CONCLUSION:Wnt5a, a representative protein in non-canonical Wnt signaling pathway, paticipates in the cytoskeleton, cel migration and cel polarization and other activities by mediating its downstream signaling molecules such as Fzd, Ror, RhoA, ROCK, JNK, thereby regulating its proliferation and differentiation. But it is unclear how Wnt5a/PCP participates in the bone marrow mesenchymal stem cel chondrogenic and osteogenic differentiation and how the downstream effector molecules interact or function independently, which requires further studies.

Objective To investigate the diagnostic value of DTI anisotropy parameters in breast malignant tumors.Methods Fifty four patients,including 33 patients with malignant tumors and 21 patients with benign lesions,were retrospectively analyzed.The E1,MD and FA of lesions were measured and compared by paired t test between the malignant tumors and the contralateral healthy breast tissue.The difference between malignant tumors and benign lesions was analyzed by independent sample t test.Logistic regression analysis was made using E1,FA,MD as predictors in detecting and differentiating the malignant tumors,ROC curve analysis was performed to compare diagnostic performance based on the area under the curve (AUC).Results E1,MD and FA in malignant tumors were (0.99 ± 0.12) × 10-3mm2/s,(0.85 ±0.26) × 10-3mm2/s and 0.20 ±0.08 respectively,and those in normal breast tissues were(1.46 ± 0.55) × 10-3 mm2/s、(1.48 ± 0.44) × 10-3 mm2/s and 0.29 ± 0.17 respectively.Those parameters in benign lesions were (1.80 ±0.42) × 10-3mm2/s,(1.38 ±0.52) × 10-3mm2/s and 0.22 ± 0.10 respectively.Significant statistic differences were found between malignant tumors and normal breast tissues in E1,MD and FA (t =-4.889,-6.449,-2.842 ; P ＜ 0.01).Significant statistic differences were also found between malignant tumors and benign lesions in E1 and MD (t =-10.476,-4.394; P ＜ 0.01) with no difference found in FA (P ＞ 0.05).E1,MD and FA are independent predictors in malignant tumors' detection,and the combination of E1,MD and FA significantly improved discrimination between cancer and normal tissue over each one alone with the sensitivity 97.0％ (32/33),specificity 97.0％ (32/33),accuracy 97.0％ (64/66).Combination of E1 and MD had a similar AUC with E1 and a more AUC than MD and FA,with the sensitivity 97.0％ (32/33),specificity 100.0％ (21/21),accuracy 98.1％ (53/54).Conclusion The regression model combining E1,MD and FA is most valuable in breast cancer detection and E1 is the preferred index for the differentiation of breast cancers from benigin lesions.