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CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data

SIMPLE SUMMARY: Cancer antigen 125 (CA-125) is a protein found at a high concentration in the blood of patients with specific types of cancer, mainly ovarian cancer. In 2004, the Gynecologic Cancer Intergroup (GCIG) proposed criteria defining response to treatment, as well as disease progression, ba...

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Autores principales: Karamouza, Eleni, Glasspool, Rosalind M., Kelly, Caroline, Lewsley, Liz-Anne, Carty, Karen, Kristensen, Gunnar B., Ethier, Josee-Lyne, Kagimura, Tatsuo, Yanaihara, Nozomu, Cecere, Sabrina Chiara, You, Benoit, Boere, Ingrid A., Pujade-Lauraine, Eric, Ray-Coquard, Isabelle, Proust-Lima, Cécile, Paoletti, Xavier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047009/
https://www.ncbi.nlm.nih.gov/pubmed/36980708
http://dx.doi.org/10.3390/cancers15061823
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author Karamouza, Eleni
Glasspool, Rosalind M.
Kelly, Caroline
Lewsley, Liz-Anne
Carty, Karen
Kristensen, Gunnar B.
Ethier, Josee-Lyne
Kagimura, Tatsuo
Yanaihara, Nozomu
Cecere, Sabrina Chiara
You, Benoit
Boere, Ingrid A.
Pujade-Lauraine, Eric
Ray-Coquard, Isabelle
Proust-Lima, Cécile
Paoletti, Xavier
author_facet Karamouza, Eleni
Glasspool, Rosalind M.
Kelly, Caroline
Lewsley, Liz-Anne
Carty, Karen
Kristensen, Gunnar B.
Ethier, Josee-Lyne
Kagimura, Tatsuo
Yanaihara, Nozomu
Cecere, Sabrina Chiara
You, Benoit
Boere, Ingrid A.
Pujade-Lauraine, Eric
Ray-Coquard, Isabelle
Proust-Lima, Cécile
Paoletti, Xavier
author_sort Karamouza, Eleni
collection PubMed
description SIMPLE SUMMARY: Cancer antigen 125 (CA-125) is a protein found at a high concentration in the blood of patients with specific types of cancer, mainly ovarian cancer. In 2004, the Gynecologic Cancer Intergroup (GCIG) proposed criteria defining response to treatment, as well as disease progression, based on the CA-125 concentration. Ever since, for the follow-up of ovarian cancer patients, the CA-125 concentration and/or CT-scans are used. This paper aims to compare different summaries of CA-125 evolution in the 3 to 6 months following treatment initiation in newly diagnosed advanced ovarian cancer and explore their prognostic capacity to predict overall survival. Based on individual patient data from the GCIG meta-analysis, we propose the most appropriate timeframe between follow-up and the prediction horizon in order to obtain robust, dynamic, individual predictions. ABSTRACT: (1) Background: Cancer antigen 125 (CA-125) is a protein produced by ovarian cancer cells that is used for patients’ monitoring. However, the best ways to analyze its decline and prognostic role are poorly quantified. (2) Methods: We leveraged individual patient data from the Gynecologic Cancer Intergroup (GCIG) meta-analysis (N = 5573) to compare different approaches summarizing the early trajectory of CA-125 before the prediction time (called the landmark time) at 3 or 6 months after treatment initiation in order to predict overall survival. These summaries included observed and estimated measures obtained by a linear mixed model (LMM). Their performances were evaluated by 10-fold cross-validation with the Brier score and the area under the ROC (AUC). (3) Results: The estimated value and the last observed value at 3 months were the best measures used to predict overall survival, with an AUC of 0.75 CI 95% [0.70; 0.80] at 24 and 36 months and 0.74 [0.69; 0.80] and 0.75 [0.69; 0.80] at 48 months, respectively, considering that CA-125 over 6 months did not improve the AUC, with 0.74 [0.68; 0.78] at 24 months and 0.71 [0.65; 0.76] at 36 and 48 months. (4) Conclusions: A 3-month surveillance provided reliable individual information on overall survival until 48 months for patients receiving first-line chemotherapy.
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spelling pubmed-100470092023-03-29 CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data Karamouza, Eleni Glasspool, Rosalind M. Kelly, Caroline Lewsley, Liz-Anne Carty, Karen Kristensen, Gunnar B. Ethier, Josee-Lyne Kagimura, Tatsuo Yanaihara, Nozomu Cecere, Sabrina Chiara You, Benoit Boere, Ingrid A. Pujade-Lauraine, Eric Ray-Coquard, Isabelle Proust-Lima, Cécile Paoletti, Xavier Cancers (Basel) Article SIMPLE SUMMARY: Cancer antigen 125 (CA-125) is a protein found at a high concentration in the blood of patients with specific types of cancer, mainly ovarian cancer. In 2004, the Gynecologic Cancer Intergroup (GCIG) proposed criteria defining response to treatment, as well as disease progression, based on the CA-125 concentration. Ever since, for the follow-up of ovarian cancer patients, the CA-125 concentration and/or CT-scans are used. This paper aims to compare different summaries of CA-125 evolution in the 3 to 6 months following treatment initiation in newly diagnosed advanced ovarian cancer and explore their prognostic capacity to predict overall survival. Based on individual patient data from the GCIG meta-analysis, we propose the most appropriate timeframe between follow-up and the prediction horizon in order to obtain robust, dynamic, individual predictions. ABSTRACT: (1) Background: Cancer antigen 125 (CA-125) is a protein produced by ovarian cancer cells that is used for patients’ monitoring. However, the best ways to analyze its decline and prognostic role are poorly quantified. (2) Methods: We leveraged individual patient data from the Gynecologic Cancer Intergroup (GCIG) meta-analysis (N = 5573) to compare different approaches summarizing the early trajectory of CA-125 before the prediction time (called the landmark time) at 3 or 6 months after treatment initiation in order to predict overall survival. These summaries included observed and estimated measures obtained by a linear mixed model (LMM). Their performances were evaluated by 10-fold cross-validation with the Brier score and the area under the ROC (AUC). (3) Results: The estimated value and the last observed value at 3 months were the best measures used to predict overall survival, with an AUC of 0.75 CI 95% [0.70; 0.80] at 24 and 36 months and 0.74 [0.69; 0.80] and 0.75 [0.69; 0.80] at 48 months, respectively, considering that CA-125 over 6 months did not improve the AUC, with 0.74 [0.68; 0.78] at 24 months and 0.71 [0.65; 0.76] at 36 and 48 months. (4) Conclusions: A 3-month surveillance provided reliable individual information on overall survival until 48 months for patients receiving first-line chemotherapy. MDPI 2023-03-17 /pmc/articles/PMC10047009/ /pubmed/36980708 http://dx.doi.org/10.3390/cancers15061823 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Karamouza, Eleni
Glasspool, Rosalind M.
Kelly, Caroline
Lewsley, Liz-Anne
Carty, Karen
Kristensen, Gunnar B.
Ethier, Josee-Lyne
Kagimura, Tatsuo
Yanaihara, Nozomu
Cecere, Sabrina Chiara
You, Benoit
Boere, Ingrid A.
Pujade-Lauraine, Eric
Ray-Coquard, Isabelle
Proust-Lima, Cécile
Paoletti, Xavier
CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data
title CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data
title_full CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data
title_fullStr CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data
title_full_unstemmed CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data
title_short CA-125 Early Dynamics to Predict Overall Survival in Women with Newly Diagnosed Advanced Ovarian Cancer Based on Meta-Analysis Data
title_sort ca-125 early dynamics to predict overall survival in women with newly diagnosed advanced ovarian cancer based on meta-analysis data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047009/
https://www.ncbi.nlm.nih.gov/pubmed/36980708
http://dx.doi.org/10.3390/cancers15061823
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