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Protein biomarkers in cervicovaginal lavages for detection of endometrial cancer

BACKGROUND: Rates of endometrial cancer (EC) are increasing. For a definitive diagnosis, women undergo various time-consuming and painful medical procedures, such as endometrial biopsy with or without hysteroscopy, and dilation and curettage, which may create a barrier to early detection and treatme...

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Autores principales: Łaniewski, Paweł, Cui, Haiyan, Mahnert, Nichole D., Mourad, Jamal, Borst, Matthew P., Willmott, Lyndsay, Chase, Dana M., Roe, Denise J., Herbst-Kralovetz, Melissa M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9717501/
https://www.ncbi.nlm.nih.gov/pubmed/36461062
http://dx.doi.org/10.1186/s40364-022-00438-5
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author Łaniewski, Paweł
Cui, Haiyan
Mahnert, Nichole D.
Mourad, Jamal
Borst, Matthew P.
Willmott, Lyndsay
Chase, Dana M.
Roe, Denise J.
Herbst-Kralovetz, Melissa M.
author_facet Łaniewski, Paweł
Cui, Haiyan
Mahnert, Nichole D.
Mourad, Jamal
Borst, Matthew P.
Willmott, Lyndsay
Chase, Dana M.
Roe, Denise J.
Herbst-Kralovetz, Melissa M.
author_sort Łaniewski, Paweł
collection PubMed
description BACKGROUND: Rates of endometrial cancer (EC) are increasing. For a definitive diagnosis, women undergo various time-consuming and painful medical procedures, such as endometrial biopsy with or without hysteroscopy, and dilation and curettage, which may create a barrier to early detection and treatment, particularly for women with inadequate healthcare access. Thus, there is a need to develop robust EC diagnostics based on non- or minimally-invasive sampling. The objective of this study was to quantify a broad range of immuno-oncology proteins in cervicovaginal lavage (CVL) samples and investigate these proteins as predictive diagnostic biomarkers for EC. METHODS: One hundred ninety-two women undergoing hysterectomy for benign or malignant indications were enrolled in this cross-sectional study. Classification of women to four disease groups: benign conditions (n = 108), endometrial hyperplasia (n = 18), low-grade endometrioid carcinoma (n = 53) and other EC subtypes (n = 13) was based on histopathology of biopsy samples collected after the surgery. CVL samples were collected in the operating room during the standard-of-care hysterectomy procedure. Concentrations of 72 proteins in CVL samples were evaluated using multiplex immunoassays. Global protein profiles were assessed using principal component and hierarchical clustering analyses. The relationships between protein levels and disease groups and disease severity were determined using Spearman correlation, univariate and multivariate receiver operating characteristics, and logistic regression analyses. RESULTS: Women with EC and benign conditions exhibited distinctive cervicovaginal protein profiles. Several proteins in CVL samples (e.g., an immune checkpoint protein, TIM-3, growth factors, VEGF, TGF-α, and an anti-inflammatory cytokine, IL-10) discriminated EC from benign conditions, particularly, when tested in combinations with CA19–9, CA125, eotaxin, G-CSF, IL-6, MCP-1, MDC, MCP-3 and TRAIL (sensitivity of 86.1% and specificity of 87.9%). Furthermore, specific biomarkers (e.g., TIM-3, VEGF, TGF-α, TRAIL, MCP-3, IL-15, PD-L2, SCF) associated with histopathological tumor characteristics, including histological type and grade, tumor size, presence and depth of myometrial invasion or mismatch repair protein status, implying their potential utility for disease prognosis or monitoring therapies. CONCLUSIONS: This proof-of-principle study demonstrated that cervicovaginal sampling coupled with multiplex immunoassay technology can offer a minimally to non-invasive method for EC detection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-022-00438-5.
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spelling pubmed-97175012022-12-03 Protein biomarkers in cervicovaginal lavages for detection of endometrial cancer Łaniewski, Paweł Cui, Haiyan Mahnert, Nichole D. Mourad, Jamal Borst, Matthew P. Willmott, Lyndsay Chase, Dana M. Roe, Denise J. Herbst-Kralovetz, Melissa M. Biomark Res Research BACKGROUND: Rates of endometrial cancer (EC) are increasing. For a definitive diagnosis, women undergo various time-consuming and painful medical procedures, such as endometrial biopsy with or without hysteroscopy, and dilation and curettage, which may create a barrier to early detection and treatment, particularly for women with inadequate healthcare access. Thus, there is a need to develop robust EC diagnostics based on non- or minimally-invasive sampling. The objective of this study was to quantify a broad range of immuno-oncology proteins in cervicovaginal lavage (CVL) samples and investigate these proteins as predictive diagnostic biomarkers for EC. METHODS: One hundred ninety-two women undergoing hysterectomy for benign or malignant indications were enrolled in this cross-sectional study. Classification of women to four disease groups: benign conditions (n = 108), endometrial hyperplasia (n = 18), low-grade endometrioid carcinoma (n = 53) and other EC subtypes (n = 13) was based on histopathology of biopsy samples collected after the surgery. CVL samples were collected in the operating room during the standard-of-care hysterectomy procedure. Concentrations of 72 proteins in CVL samples were evaluated using multiplex immunoassays. Global protein profiles were assessed using principal component and hierarchical clustering analyses. The relationships between protein levels and disease groups and disease severity were determined using Spearman correlation, univariate and multivariate receiver operating characteristics, and logistic regression analyses. RESULTS: Women with EC and benign conditions exhibited distinctive cervicovaginal protein profiles. Several proteins in CVL samples (e.g., an immune checkpoint protein, TIM-3, growth factors, VEGF, TGF-α, and an anti-inflammatory cytokine, IL-10) discriminated EC from benign conditions, particularly, when tested in combinations with CA19–9, CA125, eotaxin, G-CSF, IL-6, MCP-1, MDC, MCP-3 and TRAIL (sensitivity of 86.1% and specificity of 87.9%). Furthermore, specific biomarkers (e.g., TIM-3, VEGF, TGF-α, TRAIL, MCP-3, IL-15, PD-L2, SCF) associated with histopathological tumor characteristics, including histological type and grade, tumor size, presence and depth of myometrial invasion or mismatch repair protein status, implying their potential utility for disease prognosis or monitoring therapies. CONCLUSIONS: This proof-of-principle study demonstrated that cervicovaginal sampling coupled with multiplex immunoassay technology can offer a minimally to non-invasive method for EC detection. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40364-022-00438-5. BioMed Central 2022-12-02 /pmc/articles/PMC9717501/ /pubmed/36461062 http://dx.doi.org/10.1186/s40364-022-00438-5 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
Łaniewski, Paweł
Cui, Haiyan
Mahnert, Nichole D.
Mourad, Jamal
Borst, Matthew P.
Willmott, Lyndsay
Chase, Dana M.
Roe, Denise J.
Herbst-Kralovetz, Melissa M.
Protein biomarkers in cervicovaginal lavages for detection of endometrial cancer
title Protein biomarkers in cervicovaginal lavages for detection of endometrial cancer
title_full Protein biomarkers in cervicovaginal lavages for detection of endometrial cancer
title_fullStr Protein biomarkers in cervicovaginal lavages for detection of endometrial cancer
title_full_unstemmed Protein biomarkers in cervicovaginal lavages for detection of endometrial cancer
title_short Protein biomarkers in cervicovaginal lavages for detection of endometrial cancer
title_sort protein biomarkers in cervicovaginal lavages for detection of endometrial cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9717501/
https://www.ncbi.nlm.nih.gov/pubmed/36461062
http://dx.doi.org/10.1186/s40364-022-00438-5
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