Cargando…

Personalized ctDNA micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer

Circulating tumor DNA (ctDNA) in peripheral blood has been used to predict prognosis and therapeutic response for triple-negative breast cancer (TNBC) patients. However, previous approaches typically use large comprehensive panels of genes commonly mutated across all breast cancers. Given the reduct...

Descripción completa

Detalles Bibliográficos
Autores principales: Barnell, Erica K., Fisk, Bryan, Skidmore, Zachary L., Cotto, Kelsy C., Basu, Anamika, Anand, Aparna, Richters, Megan M., Luo, Jingqin, Fronick, Catrina, Anurag, Meenakshi, Fulton, Robert, Ellis, Matthew J., Griffith, Obi L., Griffith, Malachi, Ademuyiwa, Foluso O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588015/
https://www.ncbi.nlm.nih.gov/pubmed/36273232
http://dx.doi.org/10.1038/s41598-022-20928-8
_version_ 1784814033301405696
author Barnell, Erica K.
Fisk, Bryan
Skidmore, Zachary L.
Cotto, Kelsy C.
Basu, Anamika
Anand, Aparna
Richters, Megan M.
Luo, Jingqin
Fronick, Catrina
Anurag, Meenakshi
Fulton, Robert
Ellis, Matthew J.
Griffith, Obi L.
Griffith, Malachi
Ademuyiwa, Foluso O.
author_facet Barnell, Erica K.
Fisk, Bryan
Skidmore, Zachary L.
Cotto, Kelsy C.
Basu, Anamika
Anand, Aparna
Richters, Megan M.
Luo, Jingqin
Fronick, Catrina
Anurag, Meenakshi
Fulton, Robert
Ellis, Matthew J.
Griffith, Obi L.
Griffith, Malachi
Ademuyiwa, Foluso O.
author_sort Barnell, Erica K.
collection PubMed
description Circulating tumor DNA (ctDNA) in peripheral blood has been used to predict prognosis and therapeutic response for triple-negative breast cancer (TNBC) patients. However, previous approaches typically use large comprehensive panels of genes commonly mutated across all breast cancers. Given the reduction in sequencing costs and decreased turnaround times associated with panel generation, the objective of this study was to assess the use of custom micro-panels for tracking disease and predicting clinical outcomes for patients with TNBC. Paired tumor-normal samples from patients with TNBC were obtained at diagnosis (T0) and whole exome sequencing (WES) was performed to identify somatic variants associated with individual tumors. Custom micro-panels of 4–6 variants were created for each individual enrolled in the study. Peripheral blood was obtained at baseline, during Cycle 1 Day 3, at time of surgery, and in 3–6 month intervals after surgery to assess variant allele fraction (VAF) at different timepoints during disease course. The VAF was compared to clinical outcomes to evaluate the ability of custom micro-panels to predict pathological response, disease-free intervals, and patient relapse. A cohort of 50 individuals were evaluated for up to 48 months post-diagnosis of TNBC. In total, there were 33 patients who did not achieve pathological complete response (pCR) and seven patients developed clinical relapse. For all patients who developed clinical relapse and had peripheral blood obtained ≤ 6 months prior to relapse (n = 4), the custom ctDNA micro-panels identified molecular relapse at an average of 4.3 months prior to clinical relapse. The custom ctDNA panel results were moderately associated with pCR such that during disease monitoring, only 11% of patients with pCR had a molecular relapse, whereas 47% of patients without pCR had a molecular relapse (Chi-Square; p-value = 0.10). In this study, we show that a custom micro-panel of 4–6 markers can be effectively used to predict outcomes and monitor remission for patients with TNBC. These custom micro-panels show high sensitivity for detecting molecular relapse in advance of clinical relapse. The use of these panels could improve patient outcomes through early detection of relapse with preemptive intervention prior to symptom onset.
format Online
Article
Text
id pubmed-9588015
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-95880152022-10-24 Personalized ctDNA micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer Barnell, Erica K. Fisk, Bryan Skidmore, Zachary L. Cotto, Kelsy C. Basu, Anamika Anand, Aparna Richters, Megan M. Luo, Jingqin Fronick, Catrina Anurag, Meenakshi Fulton, Robert Ellis, Matthew J. Griffith, Obi L. Griffith, Malachi Ademuyiwa, Foluso O. Sci Rep Article Circulating tumor DNA (ctDNA) in peripheral blood has been used to predict prognosis and therapeutic response for triple-negative breast cancer (TNBC) patients. However, previous approaches typically use large comprehensive panels of genes commonly mutated across all breast cancers. Given the reduction in sequencing costs and decreased turnaround times associated with panel generation, the objective of this study was to assess the use of custom micro-panels for tracking disease and predicting clinical outcomes for patients with TNBC. Paired tumor-normal samples from patients with TNBC were obtained at diagnosis (T0) and whole exome sequencing (WES) was performed to identify somatic variants associated with individual tumors. Custom micro-panels of 4–6 variants were created for each individual enrolled in the study. Peripheral blood was obtained at baseline, during Cycle 1 Day 3, at time of surgery, and in 3–6 month intervals after surgery to assess variant allele fraction (VAF) at different timepoints during disease course. The VAF was compared to clinical outcomes to evaluate the ability of custom micro-panels to predict pathological response, disease-free intervals, and patient relapse. A cohort of 50 individuals were evaluated for up to 48 months post-diagnosis of TNBC. In total, there were 33 patients who did not achieve pathological complete response (pCR) and seven patients developed clinical relapse. For all patients who developed clinical relapse and had peripheral blood obtained ≤ 6 months prior to relapse (n = 4), the custom ctDNA micro-panels identified molecular relapse at an average of 4.3 months prior to clinical relapse. The custom ctDNA panel results were moderately associated with pCR such that during disease monitoring, only 11% of patients with pCR had a molecular relapse, whereas 47% of patients without pCR had a molecular relapse (Chi-Square; p-value = 0.10). In this study, we show that a custom micro-panel of 4–6 markers can be effectively used to predict outcomes and monitor remission for patients with TNBC. These custom micro-panels show high sensitivity for detecting molecular relapse in advance of clinical relapse. The use of these panels could improve patient outcomes through early detection of relapse with preemptive intervention prior to symptom onset. Nature Publishing Group UK 2022-10-22 /pmc/articles/PMC9588015/ /pubmed/36273232 http://dx.doi.org/10.1038/s41598-022-20928-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) .
spellingShingle Article
Barnell, Erica K.
Fisk, Bryan
Skidmore, Zachary L.
Cotto, Kelsy C.
Basu, Anamika
Anand, Aparna
Richters, Megan M.
Luo, Jingqin
Fronick, Catrina
Anurag, Meenakshi
Fulton, Robert
Ellis, Matthew J.
Griffith, Obi L.
Griffith, Malachi
Ademuyiwa, Foluso O.
Personalized ctDNA micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer
title Personalized ctDNA micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer
title_full Personalized ctDNA micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer
title_fullStr Personalized ctDNA micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer
title_full_unstemmed Personalized ctDNA micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer
title_short Personalized ctDNA micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer
title_sort personalized ctdna micro-panels can monitor and predict clinical outcomes for patients with triple-negative breast cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9588015/
https://www.ncbi.nlm.nih.gov/pubmed/36273232
http://dx.doi.org/10.1038/s41598-022-20928-8
work_keys_str_mv AT barnellericak personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT fiskbryan personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT skidmorezacharyl personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT cottokelsyc personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT basuanamika personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT anandaparna personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT richtersmeganm personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT luojingqin personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT fronickcatrina personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT anuragmeenakshi personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT fultonrobert personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT ellismatthewj personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT griffithobil personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT griffithmalachi personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer
AT ademuyiwafolusoo personalizedctdnamicropanelscanmonitorandpredictclinicaloutcomesforpatientswithtriplenegativebreastcancer