Literature DB >> 32223103

[Multi-modality MRI parameters correlate with the expression of the P504s protein in prostate cancer].

Jia-Wei Zhang1, Jia-Jia Liu1, Ting Huang1, Ying-Ying Zhao1, Lei Cai2, Zhi-Qiang Chen2.   

Abstract

OBJECTIVE: To evaluate the expressions of P504s, 34β-E12, and P63 proteins in PCa and the correlation between the parameters of multi-modality MRI and the expression of P504s.
METHODS: We retrospectively analyzed the multi-modality MRI data on 43 PCa and 64 non-PCa patients. We obtained the signal intensity-time (SI-T) curves, maximum SI (SImax), time to SImax (Tmax), rate of maximum enhancement (Rmax), and automatically generated apparent diffusion coefficient (ADC) values by conventional, diffusion-weighted and dynamic contrast-enhanced MRI, and determined the expressions of P504s, 34β-E12 and P63 in the prostatic tissues of the patients by immunohistochemistry.
RESULTS: Statistically significant differences were observed between the PCa and non-PCa groups in the positive expressions of P504s (83.7% vs 0%, P < 0.05), 34β-E12 (25.6% vs 91.0%, P < 0.05) and P63 (25.6% vs 86.0%, P < 0.05) in the prostatic tissue, the ADC value ([0.83 ± 0.22] vs [1.34 ± 0.28] ×10-3mm2/s, P < 0.05), Tmax ([21.30 ± 10.78] vs [50.22 ± 36.31] s, P < 0.05), SImax ([1.75 ± 0.39]% vs [1.24 ± 0.41]%, P < 0.05), and Rmax ([20.20 ± 15.50]% vs [7.98 ± 6.25]%, P < 0.05). The expression of P504s was correlated negatively with the ADC value and Tmax (r = -0.60 and -0.37, P < 0.01) but positively with SImax and Rmax (r = 0.50 and 0.45, P < 0.01).
CONCLUSIONS: The parameters of multi-modality MRI are correlated with the expression of P504s in PCa and can be used as imaging biomarkers for predicting the degrees of its malignancy.

Entities:  

Keywords:  34β-E12; P504s; P63zzm321990zzm321990 ; multi-modality MRI; prostate cancer

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Year:  2019        PMID: 32223103

Source DB:  PubMed          Journal:  Zhonghua Nan Ke Xue        ISSN: 1009-3591


  1 in total

1.  Radiomics-Based Machine Learning Models for Predicting P504s/P63 Immunohistochemical Expression: A Noninvasive Diagnostic Tool for Prostate Cancer.

Authors:  Yun-Fan Liu; Xin Shu; Xiao-Feng Qiao; Guang-Yong Ai; Li Liu; Jun Liao; Shuang Qian; Xiao-Jing He
Journal:  Front Oncol       Date:  2022-06-20       Impact factor: 5.738

  1 in total

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