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Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading

BACKGROUND: Compelling evidence indicates that elevated peripheral serum lymphocytes are associated with a favorable prognosis in various cancers. However, the association between serum lymphocytes and glioma is contradictory. In this study, a nomogram was established to predict the diagnosis of gli...

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Autores principales: Zhang, Zhi, Gu, Weiguo, Hu, Mingbin, Zhang, Guohua, Yu, Feng, Xu, Jinbiao, Deng, Jianxiong, Xu, Linlin, Mei, Jinhong, Wang, Chunliang, Qiu, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488114/
https://www.ncbi.nlm.nih.gov/pubmed/36147928
http://dx.doi.org/10.3389/fonc.2022.696037
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author Zhang, Zhi
Gu, Weiguo
Hu, Mingbin
Zhang, Guohua
Yu, Feng
Xu, Jinbiao
Deng, Jianxiong
Xu, Linlin
Mei, Jinhong
Wang, Chunliang
Qiu, Feng
author_facet Zhang, Zhi
Gu, Weiguo
Hu, Mingbin
Zhang, Guohua
Yu, Feng
Xu, Jinbiao
Deng, Jianxiong
Xu, Linlin
Mei, Jinhong
Wang, Chunliang
Qiu, Feng
author_sort Zhang, Zhi
collection PubMed
description BACKGROUND: Compelling evidence indicates that elevated peripheral serum lymphocytes are associated with a favorable prognosis in various cancers. However, the association between serum lymphocytes and glioma is contradictory. In this study, a nomogram was established to predict the diagnosis of glioma-grading through Ki-67 expression and serum lymphocytes. METHODS: We performed a retrospective analysis of 239 patients diagnosed with LGG and 178 patients with HGG. Immunohistochemistry was used to determine the Ki-67 expression. Following multivariate logistic regression analysis, a nomogram was established and used to identify the most related factors associated with HGG. The consistency index (C-index), decision curve analysis (DCA), and a calibration curve were used to validate the model. RESULTS: The number of LGG patients with more IDH1/2 mutations and 1p19q co-deletion was greater than that of HGG patients. The multivariate logistic analysis identified Ki-67 expression, serum lymphocyte count, and serum albumin (ALU) as independent risk factors associated with HGG, and these factors were included in a nomogram in the training cohort. In the validation cohort, the nomogram demonstrated good calibration and high consistency (C-index = 0.794). The Spearman correlation analysis revealed a significant association between HGG and serum lymphocyte count (r = −0.238, P <0.001), ALU (r = −0.232, P <0.001), and Ki-67 expression (r = 0.457, P <0.001). Furthermore, the Ki-67 expression was negatively correlated with the serum lymphocyte count (r = −0.244, P <0.05). LGG patients had lower Ki-67 expression and higher serum lymphocytes compared with HGG patients, and a combination of these two variables was significantly higher in HGG patients. CONCLUSION: The constructed nomogram is capable of predicting the diagnosis of glioma-grade. A decrease in the level of serum lymphocyte count and increased Ki-67 expression in HGG patients indicate that their immunological function is diminished and the tumor is more aggressive.
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spelling pubmed-94881142022-09-21 Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading Zhang, Zhi Gu, Weiguo Hu, Mingbin Zhang, Guohua Yu, Feng Xu, Jinbiao Deng, Jianxiong Xu, Linlin Mei, Jinhong Wang, Chunliang Qiu, Feng Front Oncol Oncology BACKGROUND: Compelling evidence indicates that elevated peripheral serum lymphocytes are associated with a favorable prognosis in various cancers. However, the association between serum lymphocytes and glioma is contradictory. In this study, a nomogram was established to predict the diagnosis of glioma-grading through Ki-67 expression and serum lymphocytes. METHODS: We performed a retrospective analysis of 239 patients diagnosed with LGG and 178 patients with HGG. Immunohistochemistry was used to determine the Ki-67 expression. Following multivariate logistic regression analysis, a nomogram was established and used to identify the most related factors associated with HGG. The consistency index (C-index), decision curve analysis (DCA), and a calibration curve were used to validate the model. RESULTS: The number of LGG patients with more IDH1/2 mutations and 1p19q co-deletion was greater than that of HGG patients. The multivariate logistic analysis identified Ki-67 expression, serum lymphocyte count, and serum albumin (ALU) as independent risk factors associated with HGG, and these factors were included in a nomogram in the training cohort. In the validation cohort, the nomogram demonstrated good calibration and high consistency (C-index = 0.794). The Spearman correlation analysis revealed a significant association between HGG and serum lymphocyte count (r = −0.238, P <0.001), ALU (r = −0.232, P <0.001), and Ki-67 expression (r = 0.457, P <0.001). Furthermore, the Ki-67 expression was negatively correlated with the serum lymphocyte count (r = −0.244, P <0.05). LGG patients had lower Ki-67 expression and higher serum lymphocytes compared with HGG patients, and a combination of these two variables was significantly higher in HGG patients. CONCLUSION: The constructed nomogram is capable of predicting the diagnosis of glioma-grade. A decrease in the level of serum lymphocyte count and increased Ki-67 expression in HGG patients indicate that their immunological function is diminished and the tumor is more aggressive. Frontiers Media S.A. 2022-08-25 /pmc/articles/PMC9488114/ /pubmed/36147928 http://dx.doi.org/10.3389/fonc.2022.696037 Text en Copyright © 2022 Zhang, Gu, Hu, Zhang, Yu, Xu, Deng, Xu, Mei, Wang and Qiu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhang, Zhi
Gu, Weiguo
Hu, Mingbin
Zhang, Guohua
Yu, Feng
Xu, Jinbiao
Deng, Jianxiong
Xu, Linlin
Mei, Jinhong
Wang, Chunliang
Qiu, Feng
Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading
title Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading
title_full Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading
title_fullStr Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading
title_full_unstemmed Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading
title_short Based on clinical Ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading
title_sort based on clinical ki-67 expression and serum infiltrating lymphocytes related nomogram for predicting the diagnosis of glioma-grading
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9488114/
https://www.ncbi.nlm.nih.gov/pubmed/36147928
http://dx.doi.org/10.3389/fonc.2022.696037
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