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Correlation between quantitative perfusion histogram parameters of DCE-MRI and PTEN, P-Akt and m-TOR in different pathological types of lung cancer

BACKGROUND: To explore if the quantitative perfusion histogram parameters of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) correlates with the expression of PTEN, P-Akt and m-TOR protein in lung cancer. METHODS: Thirty‐three patients with 33 lesions who had been diagnosed with lung...

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Autores principales: Zhang, Bingqian, Zhao, Zhenhua, Huang, Ya’nan, Mao, Haijia, Zou, Mingyue, Wang, Cheng, Yu, Guangmao, Zhang, Minming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052821/
https://www.ncbi.nlm.nih.gov/pubmed/33865336
http://dx.doi.org/10.1186/s12880-021-00604-5
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author Zhang, Bingqian
Zhao, Zhenhua
Huang, Ya’nan
Mao, Haijia
Zou, Mingyue
Wang, Cheng
Yu, Guangmao
Zhang, Minming
author_facet Zhang, Bingqian
Zhao, Zhenhua
Huang, Ya’nan
Mao, Haijia
Zou, Mingyue
Wang, Cheng
Yu, Guangmao
Zhang, Minming
author_sort Zhang, Bingqian
collection PubMed
description BACKGROUND: To explore if the quantitative perfusion histogram parameters of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) correlates with the expression of PTEN, P-Akt and m-TOR protein in lung cancer. METHODS: Thirty‐three patients with 33 lesions who had been diagnosed with lung cancer were enrolled in this study. They were divided into three groups: squamous cell carcinoma (SCC, 15 cases), adenocarcinoma (AC, 12 cases) and small cell lung cancer (SCLC, 6 cases). Preoperative imaging (conventional imaging and DCE-MRI) was performed on all patients. The Exchange model was used to measure the phar- macokinetic parameters, including K(trans), V(p), K(ep), V(e) and F(p), and then the histogram parameters meanvalue, skewness, kurtosis, uniformity, energy, entropy, quantile of above five parameters were analyzed. The expression of PTEN, P-Akt and m-TOR were assessed by immunohistochemistry. Spearman correlation analysis was used to compare the correlation between the quantitative perfusion histogram parameters and the expression of PTEN, P-Akt and m-TOR in different pathological subtypes of lung cancer. RESULTS: The expression of m-TOR (P = 0.013) and P-Akt (P = 0.002) in AC was significantly higher than those in SCC. V(p) (uniformity) in SCC group, K(trans) (uniformity), V(e) (kurtosis, Q10, Q25) in AC group, F(p) (skewness, kurtosis, energy), V(e) (Q75, Q90, Q95) in SCLC group was positively correlated with PTEN, and F(p) (entropy) in the SCLC group was negatively correlated with PTEN (P < 0.05); K(ep) (Q5, Q10) in the SCLC group was positively correlated with P-Akt, and K(ep) (energy) in the SCLC group was negatively correlated with P-Akt (P < 0.05); K(ep) (Q5) in SCC group and V(p) (meanvalue, Q75, Q90, Q95) in SCLC group was positively correlated with m-TOR, and V(e) (meanvalue) in SCC group was negatively correlated with m-TOR (P < 0.05). CONCLUSIONS: The quantitative perfusion histogram parameters of DCE-MRI was correlated with the expression of PTEN, P-Akt and m-TOR in different pathological types of lung cancer, which may be used to indirectly evaluate the activation status of PI3K/Akt/mTOR signal pathway gene in lung cancer, and provide important reference for clinical treatment.
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spelling pubmed-80528212021-04-19 Correlation between quantitative perfusion histogram parameters of DCE-MRI and PTEN, P-Akt and m-TOR in different pathological types of lung cancer Zhang, Bingqian Zhao, Zhenhua Huang, Ya’nan Mao, Haijia Zou, Mingyue Wang, Cheng Yu, Guangmao Zhang, Minming BMC Med Imaging Research Article BACKGROUND: To explore if the quantitative perfusion histogram parameters of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) correlates with the expression of PTEN, P-Akt and m-TOR protein in lung cancer. METHODS: Thirty‐three patients with 33 lesions who had been diagnosed with lung cancer were enrolled in this study. They were divided into three groups: squamous cell carcinoma (SCC, 15 cases), adenocarcinoma (AC, 12 cases) and small cell lung cancer (SCLC, 6 cases). Preoperative imaging (conventional imaging and DCE-MRI) was performed on all patients. The Exchange model was used to measure the phar- macokinetic parameters, including K(trans), V(p), K(ep), V(e) and F(p), and then the histogram parameters meanvalue, skewness, kurtosis, uniformity, energy, entropy, quantile of above five parameters were analyzed. The expression of PTEN, P-Akt and m-TOR were assessed by immunohistochemistry. Spearman correlation analysis was used to compare the correlation between the quantitative perfusion histogram parameters and the expression of PTEN, P-Akt and m-TOR in different pathological subtypes of lung cancer. RESULTS: The expression of m-TOR (P = 0.013) and P-Akt (P = 0.002) in AC was significantly higher than those in SCC. V(p) (uniformity) in SCC group, K(trans) (uniformity), V(e) (kurtosis, Q10, Q25) in AC group, F(p) (skewness, kurtosis, energy), V(e) (Q75, Q90, Q95) in SCLC group was positively correlated with PTEN, and F(p) (entropy) in the SCLC group was negatively correlated with PTEN (P < 0.05); K(ep) (Q5, Q10) in the SCLC group was positively correlated with P-Akt, and K(ep) (energy) in the SCLC group was negatively correlated with P-Akt (P < 0.05); K(ep) (Q5) in SCC group and V(p) (meanvalue, Q75, Q90, Q95) in SCLC group was positively correlated with m-TOR, and V(e) (meanvalue) in SCC group was negatively correlated with m-TOR (P < 0.05). CONCLUSIONS: The quantitative perfusion histogram parameters of DCE-MRI was correlated with the expression of PTEN, P-Akt and m-TOR in different pathological types of lung cancer, which may be used to indirectly evaluate the activation status of PI3K/Akt/mTOR signal pathway gene in lung cancer, and provide important reference for clinical treatment. BioMed Central 2021-04-17 /pmc/articles/PMC8052821/ /pubmed/33865336 http://dx.doi.org/10.1186/s12880-021-00604-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Zhang, Bingqian
Zhao, Zhenhua
Huang, Ya’nan
Mao, Haijia
Zou, Mingyue
Wang, Cheng
Yu, Guangmao
Zhang, Minming
Correlation between quantitative perfusion histogram parameters of DCE-MRI and PTEN, P-Akt and m-TOR in different pathological types of lung cancer
title Correlation between quantitative perfusion histogram parameters of DCE-MRI and PTEN, P-Akt and m-TOR in different pathological types of lung cancer
title_full Correlation between quantitative perfusion histogram parameters of DCE-MRI and PTEN, P-Akt and m-TOR in different pathological types of lung cancer
title_fullStr Correlation between quantitative perfusion histogram parameters of DCE-MRI and PTEN, P-Akt and m-TOR in different pathological types of lung cancer
title_full_unstemmed Correlation between quantitative perfusion histogram parameters of DCE-MRI and PTEN, P-Akt and m-TOR in different pathological types of lung cancer
title_short Correlation between quantitative perfusion histogram parameters of DCE-MRI and PTEN, P-Akt and m-TOR in different pathological types of lung cancer
title_sort correlation between quantitative perfusion histogram parameters of dce-mri and pten, p-akt and m-tor in different pathological types of lung cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8052821/
https://www.ncbi.nlm.nih.gov/pubmed/33865336
http://dx.doi.org/10.1186/s12880-021-00604-5
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