Adjustment of Serum HE4 to reduced Glomerular filtration and its use in Biomarker-based prediction of deep Myometrial invasion in endometrial cancer

Josef Chovanec; Iveta Selingerova; Kristina Greplova; Sofie Leisby Antonsen; Monika Nalezinska; Claus Høgdall; Estrid Høgdall; Erik Søgaard-Andersen; Kirsten M. Jochumsen; Pavel Fabian; Dalibor Valik; Lenka Zdrazilova-Dubska

doi:10.18632/oncotarget.22599

Adjustment of Serum HE4 to reduced Glomerular filtration and its use in Biomarker-based prediction of deep Myometrial invasion in endometrial cancer

Josef Chovanec, Iveta Selingerova, Kristina Greplova, Sofie Leisby Antonsen, Monika Nalezinska, Claus Høgdall, Estrid Høgdall, Erik Søgaard-Andersen, Kirsten M. Jochumsen, Pavel Fabian, Dalibor Valik, Lenka Zdrazilova-Dubska^*

^*Corresponding author for this work

Department of Clinical Medicine

3 Citations (Scopus)

56 Downloads (Pure)

Abstract

Background: We investigated the efficacy of circulating biomarkers together with histological grade and age to predict deep myometrial invasion (dMI) in endometrial cancer patients. Methods: HE4ren was developed adjusting HE4 serum levels towards decreased glomerular filtration rate as quantified by the eGFR-EPI formula. Preoperative HE4, HE4ren, CA125, age, and grade were evaluated in the context of perioperative depth of myometrial invasion in endometrial cancer (EC) patients. Continuous and categorized models were developed by binary logistic regression for any-grade and for G1-or-G2 patients based on single-institution data from 120 EC patients and validated against multicentric data from 379 EC patients. Results: In non-cancer individuals, serum HE4 levels increase log-linearly with reduced glomerular filtration of eGFR = 90 ml/min/1.73 m². HE4ren, adjusting HE4 serum levels to decreased eGFR, was calculated as follows: HE4ren = exp[ln(HE4) + 2.182 × (eGFR-90) × 10^-2]. Serum HE4 but not HE4ren is correlated with age. Model with continuous HE4ren, age, and grade predicted dMI in G1-or-G2 EC patients with AUC = 0.833 and AUC = 0.715, respectively, in two validation sets. In a simplified categorical model for G1-or-G2 patients, risk factors were determined as grade 2, HE4ren = 45 pmol/l, CA125 = 35 U/ml, and age = 60. Cumulation of weighted risk factors enabled classification of EC patients to low-risk or high-risk for dMI. Conclusions: We have introduced the HE4ren formula, adjusting serum HE4 levels to reduced eGFR that enables quantification of time-dependent changes in HE4 production and elimination irrespective of age and renal function in women. Utilizing HE4ren improves performance of biomarker-based models for prediction of dMI in endometrial cancer patients.

Original language	English
Journal	OncoTarget
Volume	8
Issue number	64
Pages (from-to)	108213-108222
Number of pages	10
ISSN	1949-2553
DOIs	https://doi.org/10.18632/oncotarget.22599
Publication status	Published - 2017

Keywords

Deep myometrial invasion
Endometrial cancer
Glomerular filtration rate
HE4
Predictive biomarkers

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.18632/oncotarget.22599Licence: CC BY

Adjustment of serum HE4 to reduced glomerular filtration and its use in biomarker-based prediction of deep myometrial invasion in endometrial cancerFinal published version, 2.04 MBLicence: CC BY

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Chovanec, J., Selingerova, I., Greplova, K., Antonsen, S. L., Nalezinska, M., Høgdall, C., Høgdall, E., Søgaard-Andersen, E., Jochumsen, K. M., Fabian, P., Valik, D., & Zdrazilova-Dubska, L. (2017). Adjustment of Serum HE4 to reduced Glomerular filtration and its use in Biomarker-based prediction of deep Myometrial invasion in endometrial cancer. OncoTarget, 8(64), 108213-108222. https://doi.org/10.18632/oncotarget.22599

Chovanec, J, Selingerova, I, Greplova, K, Antonsen, SL, Nalezinska, M, Høgdall, C , Høgdall, E, Søgaard-Andersen, E, Jochumsen, KM, Fabian, P, Valik, D & Zdrazilova-Dubska, L 2017, 'Adjustment of Serum HE4 to reduced Glomerular filtration and its use in Biomarker-based prediction of deep Myometrial invasion in endometrial cancer', OncoTarget, vol. 8, no. 64, pp. 108213-108222. https://doi.org/10.18632/oncotarget.22599

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title = "Adjustment of Serum HE4 to reduced Glomerular filtration and its use in Biomarker-based prediction of deep Myometrial invasion in endometrial cancer",

abstract = "Background: We investigated the efficacy of circulating biomarkers together with histological grade and age to predict deep myometrial invasion (dMI) in endometrial cancer patients. Methods: HE4ren was developed adjusting HE4 serum levels towards decreased glomerular filtration rate as quantified by the eGFR-EPI formula. Preoperative HE4, HE4ren, CA125, age, and grade were evaluated in the context of perioperative depth of myometrial invasion in endometrial cancer (EC) patients. Continuous and categorized models were developed by binary logistic regression for any-grade and for G1-or-G2 patients based on single-institution data from 120 EC patients and validated against multicentric data from 379 EC patients. Results: In non-cancer individuals, serum HE4 levels increase log-linearly with reduced glomerular filtration of eGFR = 90 ml/min/1.73 m2. HE4ren, adjusting HE4 serum levels to decreased eGFR, was calculated as follows: HE4ren = exp[ln(HE4) + 2.182 × (eGFR-90) × 10-2]. Serum HE4 but not HE4ren is correlated with age. Model with continuous HE4ren, age, and grade predicted dMI in G1-or-G2 EC patients with AUC = 0.833 and AUC = 0.715, respectively, in two validation sets. In a simplified categorical model for G1-or-G2 patients, risk factors were determined as grade 2, HE4ren = 45 pmol/l, CA125 = 35 U/ml, and age = 60. Cumulation of weighted risk factors enabled classification of EC patients to low-risk or high-risk for dMI. Conclusions: We have introduced the HE4ren formula, adjusting serum HE4 levels to reduced eGFR that enables quantification of time-dependent changes in HE4 production and elimination irrespective of age and renal function in women. Utilizing HE4ren improves performance of biomarker-based models for prediction of dMI in endometrial cancer patients.",

keywords = "Deep myometrial invasion, Endometrial cancer, Glomerular filtration rate, HE4, Predictive biomarkers",

author = "Josef Chovanec and Iveta Selingerova and Kristina Greplova and Antonsen, {Sofie Leisby} and Monika Nalezinska and Claus H{\o}gdall and Estrid H{\o}gdall and Erik S{\o}gaard-Andersen and Jochumsen, {Kirsten M.} and Pavel Fabian and Dalibor Valik and Lenka Zdrazilova-Dubska",

year = "2017",

doi = "10.18632/oncotarget.22599",

language = "English",

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pages = "108213--108222",

journal = "OncoTarget",

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TY - JOUR

T1 - Adjustment of Serum HE4 to reduced Glomerular filtration and its use in Biomarker-based prediction of deep Myometrial invasion in endometrial cancer

AU - Chovanec, Josef

AU - Selingerova, Iveta

AU - Greplova, Kristina

AU - Antonsen, Sofie Leisby

AU - Nalezinska, Monika

AU - Høgdall, Claus

AU - Høgdall, Estrid

AU - Søgaard-Andersen, Erik

AU - Jochumsen, Kirsten M.

AU - Fabian, Pavel

AU - Valik, Dalibor

AU - Zdrazilova-Dubska, Lenka

PY - 2017

Y1 - 2017

N2 - Background: We investigated the efficacy of circulating biomarkers together with histological grade and age to predict deep myometrial invasion (dMI) in endometrial cancer patients. Methods: HE4ren was developed adjusting HE4 serum levels towards decreased glomerular filtration rate as quantified by the eGFR-EPI formula. Preoperative HE4, HE4ren, CA125, age, and grade were evaluated in the context of perioperative depth of myometrial invasion in endometrial cancer (EC) patients. Continuous and categorized models were developed by binary logistic regression for any-grade and for G1-or-G2 patients based on single-institution data from 120 EC patients and validated against multicentric data from 379 EC patients. Results: In non-cancer individuals, serum HE4 levels increase log-linearly with reduced glomerular filtration of eGFR = 90 ml/min/1.73 m2. HE4ren, adjusting HE4 serum levels to decreased eGFR, was calculated as follows: HE4ren = exp[ln(HE4) + 2.182 × (eGFR-90) × 10-2]. Serum HE4 but not HE4ren is correlated with age. Model with continuous HE4ren, age, and grade predicted dMI in G1-or-G2 EC patients with AUC = 0.833 and AUC = 0.715, respectively, in two validation sets. In a simplified categorical model for G1-or-G2 patients, risk factors were determined as grade 2, HE4ren = 45 pmol/l, CA125 = 35 U/ml, and age = 60. Cumulation of weighted risk factors enabled classification of EC patients to low-risk or high-risk for dMI. Conclusions: We have introduced the HE4ren formula, adjusting serum HE4 levels to reduced eGFR that enables quantification of time-dependent changes in HE4 production and elimination irrespective of age and renal function in women. Utilizing HE4ren improves performance of biomarker-based models for prediction of dMI in endometrial cancer patients.

AB - Background: We investigated the efficacy of circulating biomarkers together with histological grade and age to predict deep myometrial invasion (dMI) in endometrial cancer patients. Methods: HE4ren was developed adjusting HE4 serum levels towards decreased glomerular filtration rate as quantified by the eGFR-EPI formula. Preoperative HE4, HE4ren, CA125, age, and grade were evaluated in the context of perioperative depth of myometrial invasion in endometrial cancer (EC) patients. Continuous and categorized models were developed by binary logistic regression for any-grade and for G1-or-G2 patients based on single-institution data from 120 EC patients and validated against multicentric data from 379 EC patients. Results: In non-cancer individuals, serum HE4 levels increase log-linearly with reduced glomerular filtration of eGFR = 90 ml/min/1.73 m2. HE4ren, adjusting HE4 serum levels to decreased eGFR, was calculated as follows: HE4ren = exp[ln(HE4) + 2.182 × (eGFR-90) × 10-2]. Serum HE4 but not HE4ren is correlated with age. Model with continuous HE4ren, age, and grade predicted dMI in G1-or-G2 EC patients with AUC = 0.833 and AUC = 0.715, respectively, in two validation sets. In a simplified categorical model for G1-or-G2 patients, risk factors were determined as grade 2, HE4ren = 45 pmol/l, CA125 = 35 U/ml, and age = 60. Cumulation of weighted risk factors enabled classification of EC patients to low-risk or high-risk for dMI. Conclusions: We have introduced the HE4ren formula, adjusting serum HE4 levels to reduced eGFR that enables quantification of time-dependent changes in HE4 production and elimination irrespective of age and renal function in women. Utilizing HE4ren improves performance of biomarker-based models for prediction of dMI in endometrial cancer patients.

KW - Deep myometrial invasion

KW - Endometrial cancer

KW - Glomerular filtration rate

KW - HE4

KW - Predictive biomarkers

U2 - 10.18632/oncotarget.22599

DO - 10.18632/oncotarget.22599

M3 - Journal article

C2 - 29296235

AN - SCOPUS:85037364050

SN - 1949-2553

VL - 8

SP - 108213

EP - 108222

JO - OncoTarget

JF - OncoTarget

IS - 64

ER -

Adjustment of Serum HE4 to reduced Glomerular filtration and its use in Biomarker-based prediction of deep Myometrial invasion in endometrial cancer

Abstract

Keywords

UN SDGs

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