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10.2147/OTT.S141248

http://scihub22266oqcxt.onion/10.2147/OTT.S141248
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C5584897!5584897!28894377
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suck abstract from ncbi


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pmid28894377      Onco+Targets+Ther 2017 ; 10 (ä): 4205-11
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  • HPIP: a predictor of lymph node metastasis and poor survival in cervical cancer #MMPMID28894377
  • Cao S; Sun J; Lin S; Zhao L; Wu D; Liang T; Sheng W
  • Onco Targets Ther 2017[]; 10 (ä): 4205-11 PMID28894377show ga
  • Background: The aim of this study was to explore the relationships of HPIP expression status with the clinicopathological variables and survival outcomes of patients with cervical cancer (CC). Methods: We compared the HPIP expression of 119 samples from CC tissues, 20 from cervical intraepithelial tissues, and 20 from normal cervical tissues by using immunohistochemical staining. Results: It was observed that the ratio of elevated HPIP expression was higher in CC tissues than in cervical intraepithelial neoplasia (P=0.017) and normal cervical tissues (P=0.001). In addition, there was an association between HPIP and clinicopathological factors, such as histological grade (P<0.001), stromal infiltration (P=0.015), lymph node metastasis (P<0.001), lymphovascular space invasion (LVSI; P=0.026), and recurrence (P=0.029). Furthermore, multivariate Cox regression analysis revealed that high HPIP expression (P=0.027 and P=0.042) as well as the International Federation of Gynaecology and Obstetrics stage (P=0.003 and P=0.009), lymph node metastasis (P=0.031 and P=0.017), and LVSI (P=0.024 and P=0.046) were independent prognostic factors. In addition, we demonstrated that high HPIP expression (P=0.003) and LVSI (P<0.001) were independently related to lymph node metastasis. Conclusion: Elevated HPIP expression may contribute to the progression and metastasis of CC and may also serve as a new biomarker to predict the prognosis of CC.
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