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Based on Histogram Analysis: ADC(aqp) Derived from Ultra-high b-Value DWI could be a Non-invasive Specific Biomarker for Rectal Cancer Prognosis

Aquaporins (AQP) are not only water channel protein, but also potential prognostic indicator and therapeutic target for rectal cancer. Some previous studies have demonstrated the AQP expression could be estimated by ADC(aqp) value derived from ultra-high b-value diffusion-weighted imaging (DWI). We...

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Autores principales: Zhang, Guangwen, Ma, Wanling, Dong, Hui, Shu, Jun, Hou, Weihuan, Guo, Yong, Wang, Mian, Wei, Xiaocheng, Ren, Jialiang, Zhang, Jinsong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311405/
https://www.ncbi.nlm.nih.gov/pubmed/32576929
http://dx.doi.org/10.1038/s41598-020-67263-4
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author Zhang, Guangwen
Ma, Wanling
Dong, Hui
Shu, Jun
Hou, Weihuan
Guo, Yong
Wang, Mian
Wei, Xiaocheng
Ren, Jialiang
Zhang, Jinsong
author_facet Zhang, Guangwen
Ma, Wanling
Dong, Hui
Shu, Jun
Hou, Weihuan
Guo, Yong
Wang, Mian
Wei, Xiaocheng
Ren, Jialiang
Zhang, Jinsong
author_sort Zhang, Guangwen
collection PubMed
description Aquaporins (AQP) are not only water channel protein, but also potential prognostic indicator and therapeutic target for rectal cancer. Some previous studies have demonstrated the AQP expression could be estimated by ADC(aqp) value derived from ultra-high b-value diffusion-weighted imaging (DWI). We aim to determine whether ADC(aqp) could be a new and specific biomarker for indicating the AQP expression and prognostic factors of rectal cancer. 76 untreated patients with rectal cancer confirmed by colonoscopy biopsy were enrolled. ADC(aqp) value was generated from ultra-high b-value DWI with five b-values (1700–3500 s/mm(2)). AQP (AQP1, 3 and 5)staining intensity was estimated by both of software (QuPath) and manual manner. The relationships between histogram features of ADC(aqp) and AQP staining intensity were analyzed. The correlations between histogram features of ADC(aqp) and differentiation degrees (good, moderate, poor), T stage (T1–2 vs T3–4), and lymph node status (N+ vs N−) were also evaluated respectively. The mean, 75(th) percentile and 97.5(th) percentile of ADC(aqp) were correlated with AQP1 staining intensity (r = 0.237, 0.323 and 0.362, respectively, all P < 0.05) . No correlation was found between the histogram features of ADC(aqp) and AQP3 or AQP5 staining intensity. The mean, 50(th) percentile, 75(th) percentile and 97.5(th) percentile of ADC(aqp) value exhibited significant differences between differentiation status (all P < 0.05). Histogram features of ADC(aqp) value showed no significant differences in two subgroups of T stage and lymph node status (all P > 0.05). Histogram analysis showed that the ADC(aqp) value derived from ultra-high b-value DWI of rectal cancer could reflect AQP1’s expression and rectal cancer’s malignancy degree. ADC(aqp) might be a new imaging biomarker for evaluating rectal cancer.
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spelling pubmed-73114052020-06-25 Based on Histogram Analysis: ADC(aqp) Derived from Ultra-high b-Value DWI could be a Non-invasive Specific Biomarker for Rectal Cancer Prognosis Zhang, Guangwen Ma, Wanling Dong, Hui Shu, Jun Hou, Weihuan Guo, Yong Wang, Mian Wei, Xiaocheng Ren, Jialiang Zhang, Jinsong Sci Rep Article Aquaporins (AQP) are not only water channel protein, but also potential prognostic indicator and therapeutic target for rectal cancer. Some previous studies have demonstrated the AQP expression could be estimated by ADC(aqp) value derived from ultra-high b-value diffusion-weighted imaging (DWI). We aim to determine whether ADC(aqp) could be a new and specific biomarker for indicating the AQP expression and prognostic factors of rectal cancer. 76 untreated patients with rectal cancer confirmed by colonoscopy biopsy were enrolled. ADC(aqp) value was generated from ultra-high b-value DWI with five b-values (1700–3500 s/mm(2)). AQP (AQP1, 3 and 5)staining intensity was estimated by both of software (QuPath) and manual manner. The relationships between histogram features of ADC(aqp) and AQP staining intensity were analyzed. The correlations between histogram features of ADC(aqp) and differentiation degrees (good, moderate, poor), T stage (T1–2 vs T3–4), and lymph node status (N+ vs N−) were also evaluated respectively. The mean, 75(th) percentile and 97.5(th) percentile of ADC(aqp) were correlated with AQP1 staining intensity (r = 0.237, 0.323 and 0.362, respectively, all P < 0.05) . No correlation was found between the histogram features of ADC(aqp) and AQP3 or AQP5 staining intensity. The mean, 50(th) percentile, 75(th) percentile and 97.5(th) percentile of ADC(aqp) value exhibited significant differences between differentiation status (all P < 0.05). Histogram features of ADC(aqp) value showed no significant differences in two subgroups of T stage and lymph node status (all P > 0.05). Histogram analysis showed that the ADC(aqp) value derived from ultra-high b-value DWI of rectal cancer could reflect AQP1’s expression and rectal cancer’s malignancy degree. ADC(aqp) might be a new imaging biomarker for evaluating rectal cancer. Nature Publishing Group UK 2020-06-23 /pmc/articles/PMC7311405/ /pubmed/32576929 http://dx.doi.org/10.1038/s41598-020-67263-4 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Zhang, Guangwen
Ma, Wanling
Dong, Hui
Shu, Jun
Hou, Weihuan
Guo, Yong
Wang, Mian
Wei, Xiaocheng
Ren, Jialiang
Zhang, Jinsong
Based on Histogram Analysis: ADC(aqp) Derived from Ultra-high b-Value DWI could be a Non-invasive Specific Biomarker for Rectal Cancer Prognosis
title Based on Histogram Analysis: ADC(aqp) Derived from Ultra-high b-Value DWI could be a Non-invasive Specific Biomarker for Rectal Cancer Prognosis
title_full Based on Histogram Analysis: ADC(aqp) Derived from Ultra-high b-Value DWI could be a Non-invasive Specific Biomarker for Rectal Cancer Prognosis
title_fullStr Based on Histogram Analysis: ADC(aqp) Derived from Ultra-high b-Value DWI could be a Non-invasive Specific Biomarker for Rectal Cancer Prognosis
title_full_unstemmed Based on Histogram Analysis: ADC(aqp) Derived from Ultra-high b-Value DWI could be a Non-invasive Specific Biomarker for Rectal Cancer Prognosis
title_short Based on Histogram Analysis: ADC(aqp) Derived from Ultra-high b-Value DWI could be a Non-invasive Specific Biomarker for Rectal Cancer Prognosis
title_sort based on histogram analysis: adc(aqp) derived from ultra-high b-value dwi could be a non-invasive specific biomarker for rectal cancer prognosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7311405/
https://www.ncbi.nlm.nih.gov/pubmed/32576929
http://dx.doi.org/10.1038/s41598-020-67263-4
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