Literature DB >> 29315957

Apparent diffusion coefficients in prostate cancer: correlation with molecular markers Ki-67, HIF-1α and VEGF.

Teng Ma1, Shaolin Yang2, Haiyan Jing3, Lin Cong4, Zhixin Cao3, Zhiling Liu1, Zhaoqin Huang1.   

Abstract

Prostate cancer (PCa) is the second most common cancer in men. The Gleason score (GS) and biomarkers play important roles in the diagnosis and treatment of patients with PCa. The purpose of this study was to investigate the relationship between the apparent diffusion coefficient (ADC) and the molecular markers Ki-67, hypoxia-inducible factor-1α (HIF-1α) and vascular endothelial growth factor (VEGF) in PCa. Thirty-nine patients with 39 lesions, who had been diagnosed with PCa, were enrolled in this study. All patients underwent diffusion-weighted magnetic resonance imaging (DW-MRI) (b = 800 s/mm2 ). The expression of Ki-67, HIF-1α and VEGF was assessed by immunohistochemistry. Statistical analysis was applied to analyze the association between ADC and prostate-specific antigen (PSA), GS and the expression of Ki-67, HIF-1α and VEGF. The group differences in ADC among different grades of Ki-67, HIF-1α and VEGF were also analyzed. The mean ± standard deviation of ADC was (0.76 ± 0.27) × 10-3  mm2 /s. ADC correlated negatively with PSA and GS (p < 0.05). The Ki-67 staining index (SI), HIF-1α expression and VEGF expression in PCa were correlated inversely with ADC, controlling for age (r = -0.332, p < 0.05; r = -0.662, p < 0.0005; and r = -0.714, p < 0.0005, respectively). ADC showed a significant difference among different grades of Ki-67 (F = 9.164, p = 0.005), HIF-1α (F = 40.333, p < 0.0005) and VEGF (F = 22.048, p < 0.0005). In conclusion, ADC was correlated with PSA, GS, and Ki-67, HIF-1α and VEGF expression in patients with PCa. ADC may be used to evaluate tumor proliferation, hypoxia and angiogenesis in PCa.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  ADC; HIF-1α; Ki-67; VEGF; prostate cancer

Mesh:

Substances:

Year:  2018        PMID: 29315957     DOI: 10.1002/nbm.3884

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  12 in total

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Authors:  Chun Yang; Ze-Kun Jiang; Li-Heng Liu; Meng-Su Zeng
Journal:  Int J Colorectal Dis       Date:  2019-12-01       Impact factor: 2.571

4.  Whole-lesion ADC histogram analysis is not able to reflect microvessel density in HNSCC.

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Authors:  Alexey Surov; Yun-Woo Chang; Lihua Li; Laura Martincich; Savannah C Partridge; Jin You Kim; Andreas Wienke
Journal:  BMC Cancer       Date:  2019-11-05       Impact factor: 4.430

6.  Prognostic prediction of resectable colorectal liver metastasis using the apparent diffusion coefficient from diffusion-weighted magnetic resonance imaging.

Authors:  Masato Yoshikawa; Yuji Morine; Shinichiro Yamada; Katsuki Miyazaki; Kazunori Tokuda; Yu Saito; Yusuke Arakawa; Tetsuya Ikemoto; Satoru Imura; Mitsuo Shimada
Journal:  Ann Gastroenterol Surg       Date:  2020-10-05

7.  Seasonal expressions of VEGF and its receptors VEGFR1 and VEGFR2 in the prostate of the wild ground squirrels (<em>Spermophilus dauricus</em>).

Authors:  Yuchen Yao; Wenqian Xie; Di Chen; Yingying Han; Zhengrong Yuan; Haolin Zhang; Qiang Weng
Journal:  Eur J Histochem       Date:  2021-03-24       Impact factor: 3.188

8.  MRI-based radiomics and ADC values are related to recurrence of endometrial carcinoma: a preliminary analysis.

Authors:  Kaiyue Zhang; Yu Zhang; Xin Fang; Jiangning Dong; Liting Qian
Journal:  BMC Cancer       Date:  2021-11-24       Impact factor: 4.430

9.  Discrimination between clinical significant and insignificant prostate cancer with apparent diffusion coefficient - a systematic review and meta analysis.

Authors:  Hans-Jonas Meyer; Andreas Wienke; Alexey Surov
Journal:  BMC Cancer       Date:  2020-05-27       Impact factor: 4.430

10.  Correlation of SUVmax and Apparent Diffusion Coefficient Values Detected by Ga-68 PSMA PET/MRI in Primary Prostate Lesions and Their Significance in Lymph Node Metastasis: Preliminary Results of an On-going Study

Authors:  Lebriz Uslu-Beşli; Barış Bakır; Sertaç Asa; Ekrem Güner; Çetin Demirdağ; Onur Erdem Şahin; Emre Karayel; Muhammet Sait Sağer; Haluk Burçak Sayman; Kerim Sönmezoğlu
Journal:  Mol Imaging Radionucl Ther       Date:  2019-09-06
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