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Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker

BACKGROUND: Cervical squamous cell carcinoma (SCC) is known to arise through increasingly higher-grade squamous intraepithelial lesions (SILs) or cervical intraepithelial neoplasias (CINs). This study aimed to describe sequential molecular changes and identify biomarkers in cervical malignant transf...

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Autores principales: Zhang, Jianwei, Meng, Silu, Wang, Xiaoyan, Wang, Jun, Fan, Xinran, Sun, Haiying, Ning, Ruoqi, Xiao, Bing, Li, Xiangqin, Jia, Yao, Kong, Dongli, Chen, Ruqi, Wang, Changyu, Ma, Ding, Li, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648022/
https://www.ncbi.nlm.nih.gov/pubmed/36352434
http://dx.doi.org/10.1186/s12916-022-02630-8
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author Zhang, Jianwei
Meng, Silu
Wang, Xiaoyan
Wang, Jun
Fan, Xinran
Sun, Haiying
Ning, Ruoqi
Xiao, Bing
Li, Xiangqin
Jia, Yao
Kong, Dongli
Chen, Ruqi
Wang, Changyu
Ma, Ding
Li, Shuang
author_facet Zhang, Jianwei
Meng, Silu
Wang, Xiaoyan
Wang, Jun
Fan, Xinran
Sun, Haiying
Ning, Ruoqi
Xiao, Bing
Li, Xiangqin
Jia, Yao
Kong, Dongli
Chen, Ruqi
Wang, Changyu
Ma, Ding
Li, Shuang
author_sort Zhang, Jianwei
collection PubMed
description BACKGROUND: Cervical squamous cell carcinoma (SCC) is known to arise through increasingly higher-grade squamous intraepithelial lesions (SILs) or cervical intraepithelial neoplasias (CINs). This study aimed to describe sequential molecular changes and identify biomarkers in cervical malignant transformation. METHODS: Multidimensional data from five publicly available microarray and TCGA-CESC datasets were analyzed. Immunohistochemistry was carried out on 354 cervical tissues (42 normal, 62 CIN1, 26 CIN2, 47 CIN3, and 177 SCC) to determine the potential diagnostic and prognostic value of identified biomarkers. RESULTS: We demonstrated that normal epithelium and SILs presented higher molecular homogeneity than SCC. Genes in the region (e.g., 3q, 12q13) with copy number alteration or HPV integration were more likely to lose or gain expression. The IL-17 signaling pathway was enriched throughout disease progression with downregulation of IL17C and decreased Th17 cells at late stage. Furthermore, we identified AURKA, TOP2A, RFC4, and CEP55 as potential causative genes gradually upregulated during the normal-SILs-SCC transition. For detecting high-grade SIL (HSIL), TOP2A and RFC4 showed balanced sensitivity (both 88.2%) and specificity (87.1 and 90.1%), with high AUC (0.88 and 0.89). They had equivalent diagnostic performance alone to the combination of p16(INK4a) and Ki-67. Meanwhile, increased expression of RFC4 significantly and independently predicted favorable outcomes in multi-institutional cohorts of SCC patients. CONCLUSIONS: Our comprehensive study of gene expression profiling has identified dysregulated genes and biological processes during cervical carcinogenesis. RFC4 is proposed as a novel surrogate biomarker for determining HSIL and HSIL+, and an independent prognostic biomarker for SCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02630-8.
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spelling pubmed-96480222022-11-15 Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker Zhang, Jianwei Meng, Silu Wang, Xiaoyan Wang, Jun Fan, Xinran Sun, Haiying Ning, Ruoqi Xiao, Bing Li, Xiangqin Jia, Yao Kong, Dongli Chen, Ruqi Wang, Changyu Ma, Ding Li, Shuang BMC Med Research Article BACKGROUND: Cervical squamous cell carcinoma (SCC) is known to arise through increasingly higher-grade squamous intraepithelial lesions (SILs) or cervical intraepithelial neoplasias (CINs). This study aimed to describe sequential molecular changes and identify biomarkers in cervical malignant transformation. METHODS: Multidimensional data from five publicly available microarray and TCGA-CESC datasets were analyzed. Immunohistochemistry was carried out on 354 cervical tissues (42 normal, 62 CIN1, 26 CIN2, 47 CIN3, and 177 SCC) to determine the potential diagnostic and prognostic value of identified biomarkers. RESULTS: We demonstrated that normal epithelium and SILs presented higher molecular homogeneity than SCC. Genes in the region (e.g., 3q, 12q13) with copy number alteration or HPV integration were more likely to lose or gain expression. The IL-17 signaling pathway was enriched throughout disease progression with downregulation of IL17C and decreased Th17 cells at late stage. Furthermore, we identified AURKA, TOP2A, RFC4, and CEP55 as potential causative genes gradually upregulated during the normal-SILs-SCC transition. For detecting high-grade SIL (HSIL), TOP2A and RFC4 showed balanced sensitivity (both 88.2%) and specificity (87.1 and 90.1%), with high AUC (0.88 and 0.89). They had equivalent diagnostic performance alone to the combination of p16(INK4a) and Ki-67. Meanwhile, increased expression of RFC4 significantly and independently predicted favorable outcomes in multi-institutional cohorts of SCC patients. CONCLUSIONS: Our comprehensive study of gene expression profiling has identified dysregulated genes and biological processes during cervical carcinogenesis. RFC4 is proposed as a novel surrogate biomarker for determining HSIL and HSIL+, and an independent prognostic biomarker for SCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12916-022-02630-8. BioMed Central 2022-11-09 /pmc/articles/PMC9648022/ /pubmed/36352434 http://dx.doi.org/10.1186/s12916-022-02630-8 Text en © The Author(s) 2022 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, Jianwei
Meng, Silu
Wang, Xiaoyan
Wang, Jun
Fan, Xinran
Sun, Haiying
Ning, Ruoqi
Xiao, Bing
Li, Xiangqin
Jia, Yao
Kong, Dongli
Chen, Ruqi
Wang, Changyu
Ma, Ding
Li, Shuang
Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker
title Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker
title_full Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker
title_fullStr Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker
title_full_unstemmed Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker
title_short Sequential gene expression analysis of cervical malignant transformation identifies RFC4 as a novel diagnostic and prognostic biomarker
title_sort sequential gene expression analysis of cervical malignant transformation identifies rfc4 as a novel diagnostic and prognostic biomarker
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9648022/
https://www.ncbi.nlm.nih.gov/pubmed/36352434
http://dx.doi.org/10.1186/s12916-022-02630-8
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