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Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy
INTRODUCTION: Molecular profiling of tumor tissue is the gold standard for treatment decision-making in advanced non-small cell lung cancer (NSCLC). Results may be delayed or unavailable due to insufficient tissue, prolonged wait times for biopsy, pathology assessment and testing. We piloted the use...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500258/ https://www.ncbi.nlm.nih.gov/pubmed/36158638 http://dx.doi.org/10.1177/17588359221126151 |
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author | Garcia-Pardo, Miguel Czarnecka, Kasia Law, Jennifer H. Salvarrey, Alexandra Fernandes, Roxanne Fan, Jason Corke, Lucy Waddell, Thomas K. Yasufuku, Kazuhiro Donahoe, Laura L. Pierre, Andrew Le, Lisa W. Ghumman, Noor Liu, Geoffrey Shepherd, Frances A. Bradbury, Penelope Sacher, Adrian Stockley, Tracy Pal, Prodipto Rogalla, Patrik Tsao, Ming Sound Leighl, Natasha B. |
author_facet | Garcia-Pardo, Miguel Czarnecka, Kasia Law, Jennifer H. Salvarrey, Alexandra Fernandes, Roxanne Fan, Jason Corke, Lucy Waddell, Thomas K. Yasufuku, Kazuhiro Donahoe, Laura L. Pierre, Andrew Le, Lisa W. Ghumman, Noor Liu, Geoffrey Shepherd, Frances A. Bradbury, Penelope Sacher, Adrian Stockley, Tracy Pal, Prodipto Rogalla, Patrik Tsao, Ming Sound Leighl, Natasha B. |
author_sort | Garcia-Pardo, Miguel |
collection | PubMed |
description | INTRODUCTION: Molecular profiling of tumor tissue is the gold standard for treatment decision-making in advanced non-small cell lung cancer (NSCLC). Results may be delayed or unavailable due to insufficient tissue, prolonged wait times for biopsy, pathology assessment and testing. We piloted the use of plasma testing in the initial diagnostic workup for patients with suspected advanced lung cancer. METHODS: Patients with ⩽15 pack-year smoking history and suspected advanced lung cancer referred to the lung cancer rapid diagnostic program underwent plasma circulating-tumor DNA testing using a DNA-based mutation panel. Tissue testing was performed per standard of care, including comprehensive next-generation sequencing (NGS). The primary endpoint was time from diagnostic program referral to cancer treatment in stage IV NSCLC patients (Cohort A) compared to a contemporary cohort not enrolled in the study (Cohort B) and an historical pre-COVID cohort referred to the program between 2018 and 2019 (Cohort C). RESULTS: From January to June 2021, 20 patients were enrolled in Cohort A; median age was 70.5 years (range 33–87), 70% were female, 55% Caucasian, 85% never smokers, and 75% were diagnosed with NSCLC. Seven had actionable alterations detected in plasma or tissue (4/7 concordant). Fusions, not tested in plasma, were identified by immunohistochemistry for three patients. Mean result turnaround time was 17.8 days for plasma NGS and 23.6 days for tissue (p = 0.10). Mean time from referral to treatment initiation was significantly shorter in cohort A at 32.6 days (SD 13.1) versus 62.2 days (SD 31.2) in cohort B and 61.5 days (SD 29.1) in cohort C, both p < 0.0001. CONCLUSION: Liquid biopsy in the initial diagnostic workup of patients with suspected advanced NSCLC can lead to faster molecular results and shorten time to treatment even with smaller DNA panels. An expansion study using comprehensive NGS plasma testing with faster turnaround time is ongoing (NCT04862924). |
format | Online Article Text |
id | pubmed-9500258 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-95002582022-09-24 Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy Garcia-Pardo, Miguel Czarnecka, Kasia Law, Jennifer H. Salvarrey, Alexandra Fernandes, Roxanne Fan, Jason Corke, Lucy Waddell, Thomas K. Yasufuku, Kazuhiro Donahoe, Laura L. Pierre, Andrew Le, Lisa W. Ghumman, Noor Liu, Geoffrey Shepherd, Frances A. Bradbury, Penelope Sacher, Adrian Stockley, Tracy Pal, Prodipto Rogalla, Patrik Tsao, Ming Sound Leighl, Natasha B. Ther Adv Med Oncol Original Research INTRODUCTION: Molecular profiling of tumor tissue is the gold standard for treatment decision-making in advanced non-small cell lung cancer (NSCLC). Results may be delayed or unavailable due to insufficient tissue, prolonged wait times for biopsy, pathology assessment and testing. We piloted the use of plasma testing in the initial diagnostic workup for patients with suspected advanced lung cancer. METHODS: Patients with ⩽15 pack-year smoking history and suspected advanced lung cancer referred to the lung cancer rapid diagnostic program underwent plasma circulating-tumor DNA testing using a DNA-based mutation panel. Tissue testing was performed per standard of care, including comprehensive next-generation sequencing (NGS). The primary endpoint was time from diagnostic program referral to cancer treatment in stage IV NSCLC patients (Cohort A) compared to a contemporary cohort not enrolled in the study (Cohort B) and an historical pre-COVID cohort referred to the program between 2018 and 2019 (Cohort C). RESULTS: From January to June 2021, 20 patients were enrolled in Cohort A; median age was 70.5 years (range 33–87), 70% were female, 55% Caucasian, 85% never smokers, and 75% were diagnosed with NSCLC. Seven had actionable alterations detected in plasma or tissue (4/7 concordant). Fusions, not tested in plasma, were identified by immunohistochemistry for three patients. Mean result turnaround time was 17.8 days for plasma NGS and 23.6 days for tissue (p = 0.10). Mean time from referral to treatment initiation was significantly shorter in cohort A at 32.6 days (SD 13.1) versus 62.2 days (SD 31.2) in cohort B and 61.5 days (SD 29.1) in cohort C, both p < 0.0001. CONCLUSION: Liquid biopsy in the initial diagnostic workup of patients with suspected advanced NSCLC can lead to faster molecular results and shorten time to treatment even with smaller DNA panels. An expansion study using comprehensive NGS plasma testing with faster turnaround time is ongoing (NCT04862924). SAGE Publications 2022-09-20 /pmc/articles/PMC9500258/ /pubmed/36158638 http://dx.doi.org/10.1177/17588359221126151 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 Garcia-Pardo, Miguel Czarnecka, Kasia Law, Jennifer H. Salvarrey, Alexandra Fernandes, Roxanne Fan, Jason Corke, Lucy Waddell, Thomas K. Yasufuku, Kazuhiro Donahoe, Laura L. Pierre, Andrew Le, Lisa W. Ghumman, Noor Liu, Geoffrey Shepherd, Frances A. Bradbury, Penelope Sacher, Adrian Stockley, Tracy Pal, Prodipto Rogalla, Patrik Tsao, Ming Sound Leighl, Natasha B. Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy |
title | Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy |
title_full | Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy |
title_fullStr | Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy |
title_full_unstemmed | Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy |
title_short | Plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy |
title_sort | plasma-first: accelerating lung cancer diagnosis and molecular profiling through liquid biopsy |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9500258/ https://www.ncbi.nlm.nih.gov/pubmed/36158638 http://dx.doi.org/10.1177/17588359221126151 |
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