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The diagnostic accuracy of PIK3CA mutations by circulating tumor DNA in breast cancer: an individual patient data meta-analysis

BACKGROUND: The circulating tumor DNA (ctDNA) diagnostic accuracy for detecting phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) mutations in breast cancer (BC) is under discussion. We aimed to compare plasma and tissue PIK3CA alterations, encompassing factors that cou...

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Autores principales: Galvano, Antonio, Castellana, Luisa, Gristina, Valerio, La Mantia, Maria, Insalaco, Lavinia, Barraco, Nadia, Perez, Alessandro, Cutaia, Sofia, Calò, Valentina, Bazan Russo, Tancredi Didier, Francini, Edoardo, Incorvaia, Lorena, Mirisola, Mario Giuseppe, Vieni, Salvatore, Rolfo, Christian, Bazan, Viviana, Russo, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516428/
https://www.ncbi.nlm.nih.gov/pubmed/36188485
http://dx.doi.org/10.1177/17588359221110162
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author Galvano, Antonio
Castellana, Luisa
Gristina, Valerio
La Mantia, Maria
Insalaco, Lavinia
Barraco, Nadia
Perez, Alessandro
Cutaia, Sofia
Calò, Valentina
Bazan Russo, Tancredi Didier
Francini, Edoardo
Incorvaia, Lorena
Mirisola, Mario Giuseppe
Vieni, Salvatore
Rolfo, Christian
Bazan, Viviana
Russo, Antonio
author_facet Galvano, Antonio
Castellana, Luisa
Gristina, Valerio
La Mantia, Maria
Insalaco, Lavinia
Barraco, Nadia
Perez, Alessandro
Cutaia, Sofia
Calò, Valentina
Bazan Russo, Tancredi Didier
Francini, Edoardo
Incorvaia, Lorena
Mirisola, Mario Giuseppe
Vieni, Salvatore
Rolfo, Christian
Bazan, Viviana
Russo, Antonio
author_sort Galvano, Antonio
collection PubMed
description BACKGROUND: The circulating tumor DNA (ctDNA) diagnostic accuracy for detecting phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) mutations in breast cancer (BC) is under discussion. We aimed to compare plasma and tissue PIK3CA alterations, encompassing factors that could affect the results. METHODS: Two reviewers selected studies from different databases until December 2020. We considered BC patients with matched tumor tissue and plasma ctDNA. We performed meta-regression and subgroup analyses to explore sources of heterogeneity concerning tumor burden, diagnostic technique, sample size, sampling time, biological subtype, and hotspot mutation. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the related area under the curve (AUC) were elaborated for the overall population and each subgroup. RESULTS: The pooled analysis was carried out on 25 cohorts for a total of 1966 patients. The overall ctDNA sensitivity and specificity were 0.73 (95% CI: 0.70–0.77) and 0.87 (95% CI: 0.85–0.89). The AUC was 0.93. Pooled concordance, negative predictive value and positive predictive value values were 0.87 (95% CI: 0.82–0.92), 0.86 (95% CI: 0.81–0.90), and 0.89 (95% CI: 0.81–0.95) with pooled PLR, NLR, and DOR of 7.94 (95% CI: 4.90–12.86), 0.33 (95% CI: 0.25–0.45), and 33.41 (95% CI: 17.23–64.79), respectively. The pooled results consistently favored next-generation sequencing (NGS)- over polymerase chain reaction-based methodologies. The best ctDNA performance in terms of sensitivity, specificity, and AUC (0.85, 0.99, and 0.94, respectively) was observed in the low-time sampling subgroup (⩽18 days between tissue and plasma collection). Meta-regression and subgroup analyses highlighted sampling time as a possible major cause of heterogeneity. CONCLUSIONS: These findings reliably estimate the high ctDNA accuracy for the detection of PIK3CA mutations. A ctDNA-first approach for the assessment of PIK3CA mutational status by NGS may accurately replace tissue tumor sampling, representing the preferable strategy at diagnosis of metastatic BC in patients who present with visceral involvement and at least two metastatic lesions, primarily given low clinical compliance or inaccessible metastatic sites.
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spelling pubmed-95164282022-09-29 The diagnostic accuracy of PIK3CA mutations by circulating tumor DNA in breast cancer: an individual patient data meta-analysis Galvano, Antonio Castellana, Luisa Gristina, Valerio La Mantia, Maria Insalaco, Lavinia Barraco, Nadia Perez, Alessandro Cutaia, Sofia Calò, Valentina Bazan Russo, Tancredi Didier Francini, Edoardo Incorvaia, Lorena Mirisola, Mario Giuseppe Vieni, Salvatore Rolfo, Christian Bazan, Viviana Russo, Antonio Ther Adv Med Oncol Original Research BACKGROUND: The circulating tumor DNA (ctDNA) diagnostic accuracy for detecting phosphatidylinositol 4,5-bisphosphate 3-kinase catalytic subunit alpha (PIK3CA) mutations in breast cancer (BC) is under discussion. We aimed to compare plasma and tissue PIK3CA alterations, encompassing factors that could affect the results. METHODS: Two reviewers selected studies from different databases until December 2020. We considered BC patients with matched tumor tissue and plasma ctDNA. We performed meta-regression and subgroup analyses to explore sources of heterogeneity concerning tumor burden, diagnostic technique, sample size, sampling time, biological subtype, and hotspot mutation. Pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and the related area under the curve (AUC) were elaborated for the overall population and each subgroup. RESULTS: The pooled analysis was carried out on 25 cohorts for a total of 1966 patients. The overall ctDNA sensitivity and specificity were 0.73 (95% CI: 0.70–0.77) and 0.87 (95% CI: 0.85–0.89). The AUC was 0.93. Pooled concordance, negative predictive value and positive predictive value values were 0.87 (95% CI: 0.82–0.92), 0.86 (95% CI: 0.81–0.90), and 0.89 (95% CI: 0.81–0.95) with pooled PLR, NLR, and DOR of 7.94 (95% CI: 4.90–12.86), 0.33 (95% CI: 0.25–0.45), and 33.41 (95% CI: 17.23–64.79), respectively. The pooled results consistently favored next-generation sequencing (NGS)- over polymerase chain reaction-based methodologies. The best ctDNA performance in terms of sensitivity, specificity, and AUC (0.85, 0.99, and 0.94, respectively) was observed in the low-time sampling subgroup (⩽18 days between tissue and plasma collection). Meta-regression and subgroup analyses highlighted sampling time as a possible major cause of heterogeneity. CONCLUSIONS: These findings reliably estimate the high ctDNA accuracy for the detection of PIK3CA mutations. A ctDNA-first approach for the assessment of PIK3CA mutational status by NGS may accurately replace tissue tumor sampling, representing the preferable strategy at diagnosis of metastatic BC in patients who present with visceral involvement and at least two metastatic lesions, primarily given low clinical compliance or inaccessible metastatic sites. SAGE Publications 2022-09-26 /pmc/articles/PMC9516428/ /pubmed/36188485 http://dx.doi.org/10.1177/17588359221110162 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Galvano, Antonio
Castellana, Luisa
Gristina, Valerio
La Mantia, Maria
Insalaco, Lavinia
Barraco, Nadia
Perez, Alessandro
Cutaia, Sofia
Calò, Valentina
Bazan Russo, Tancredi Didier
Francini, Edoardo
Incorvaia, Lorena
Mirisola, Mario Giuseppe
Vieni, Salvatore
Rolfo, Christian
Bazan, Viviana
Russo, Antonio
The diagnostic accuracy of PIK3CA mutations by circulating tumor DNA in breast cancer: an individual patient data meta-analysis
title The diagnostic accuracy of PIK3CA mutations by circulating tumor DNA in breast cancer: an individual patient data meta-analysis
title_full The diagnostic accuracy of PIK3CA mutations by circulating tumor DNA in breast cancer: an individual patient data meta-analysis
title_fullStr The diagnostic accuracy of PIK3CA mutations by circulating tumor DNA in breast cancer: an individual patient data meta-analysis
title_full_unstemmed The diagnostic accuracy of PIK3CA mutations by circulating tumor DNA in breast cancer: an individual patient data meta-analysis
title_short The diagnostic accuracy of PIK3CA mutations by circulating tumor DNA in breast cancer: an individual patient data meta-analysis
title_sort diagnostic accuracy of pik3ca mutations by circulating tumor dna in breast cancer: an individual patient data meta-analysis
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9516428/
https://www.ncbi.nlm.nih.gov/pubmed/36188485
http://dx.doi.org/10.1177/17588359221110162
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