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Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples
PURPOSE: Tissue-based comprehensive genomic profiling (CGP) is increasingly used for treatment selection in patients with advanced cancer; however, tissue availability may limit widespread implementation. Here, we established real-world CGP tissue availability and assessed CGP performance on consecu...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384401/ https://www.ncbi.nlm.nih.gov/pubmed/34476329 http://dx.doi.org/10.1200/PO.20.00472 |
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author | Tomlins, Scott A. Hovelson, Daniel H. Suga, Jennifer M. Anderson, Daniel M. Koh, Han A. Dees, Elizabeth C. McNulty, Brendan Burkard, Mark E. Guarino, Michael Khatri, Jamil Safa, Malek M. Matrana, Marc R. Yang, Eddy S. Menter, Alex R. Parsons, Benjamin M. Slim, Jennifer N. Thompson, Michael A. Hwang, Leon Edenfield, William J. Nair, Suresh Onitilo, Adedayo Siegel, Robert Miller, Alan Wassenaar, Timothy Irvin, William J. Schulz, William Padmanabhan, Arvinda Harish, Vallathucherry Gonzalez, Anneliese Mansoor, Abdul Hai Kellum, Andrew Harms, Paul Drewery, Stephanie Falkner, Jayson Fischer, Andrew Hipp, Jennifer Kwiatkowski, Kat Lazo de la Vega, Lorena Mitchell, Khalis Reeder, Travis Siddiqui, Javed Vakil, Hana Johnson, D. Bryan Rhodes, Daniel R. |
author_facet | Tomlins, Scott A. Hovelson, Daniel H. Suga, Jennifer M. Anderson, Daniel M. Koh, Han A. Dees, Elizabeth C. McNulty, Brendan Burkard, Mark E. Guarino, Michael Khatri, Jamil Safa, Malek M. Matrana, Marc R. Yang, Eddy S. Menter, Alex R. Parsons, Benjamin M. Slim, Jennifer N. Thompson, Michael A. Hwang, Leon Edenfield, William J. Nair, Suresh Onitilo, Adedayo Siegel, Robert Miller, Alan Wassenaar, Timothy Irvin, William J. Schulz, William Padmanabhan, Arvinda Harish, Vallathucherry Gonzalez, Anneliese Mansoor, Abdul Hai Kellum, Andrew Harms, Paul Drewery, Stephanie Falkner, Jayson Fischer, Andrew Hipp, Jennifer Kwiatkowski, Kat Lazo de la Vega, Lorena Mitchell, Khalis Reeder, Travis Siddiqui, Javed Vakil, Hana Johnson, D. Bryan Rhodes, Daniel R. |
author_sort | Tomlins, Scott A. |
collection | PubMed |
description | PURPOSE: Tissue-based comprehensive genomic profiling (CGP) is increasingly used for treatment selection in patients with advanced cancer; however, tissue availability may limit widespread implementation. Here, we established real-world CGP tissue availability and assessed CGP performance on consecutively received samples. MATERIALS AND METHODS: We conducted a post hoc, nonprespecified analysis of 32,048 consecutive tumor tissue samples received for StrataNGS, a multiplex polymerase chain reaction (PCR)–based comprehensive genomic profiling (PCR-CGP) test, as part of an ongoing observational trial (NCT03061305). Sample characteristics and PCR-CGP performance were assessed across all tested samples, including exception samples not meeting minimum input quality control (QC) requirements (< 20% tumor content [TC], < 2 mm(2) tumor surface area [TSA], DNA or RNA yield < 1 ng/µL, or specimen age > 5 years). Tests reporting ≥ 1 prioritized alteration or meeting TC and sequencing QC were considered successful. For prostate carcinoma and lung adenocarcinoma, tests reporting ≥ 1 actionable or informative alteration or meeting TC and sequencing QC were considered actionable. RESULTS: Among 31,165 (97.2%) samples where PCR-CGP was attempted, 10.7% had < 20% TC and 59.2% were small (< 25 mm(2) tumor surface area). Of 31,101 samples evaluable for input requirements, 8,089 (26.0%) were exceptions not meeting requirements. However, 94.2% of the 31,101 tested samples were successfully reported, including 80.5% of exception samples. Positive predictive value of PCR-CGP for ERBB2 amplification in exceptions and/or sequencing QC-failure breast cancer samples was 96.7%. Importantly, 84.0% of tested prostate carcinomas and 87.9% of lung adenocarcinomas yielded results informing treatment selection. CONCLUSION: Most real-world tissue samples from patients with advanced cancer desiring CGP are limited, requiring optimized CGP approaches to produce meaningful results. An optimized PCR-CGP test, coupled with an inclusive exception testing policy, delivered reportable results for > 94% of samples, potentially expanding the proportion of CGP-testable patients and impact of biomarker-guided therapies. |
format | Online Article Text |
id | pubmed-8384401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-83844012021-09-01 Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples Tomlins, Scott A. Hovelson, Daniel H. Suga, Jennifer M. Anderson, Daniel M. Koh, Han A. Dees, Elizabeth C. McNulty, Brendan Burkard, Mark E. Guarino, Michael Khatri, Jamil Safa, Malek M. Matrana, Marc R. Yang, Eddy S. Menter, Alex R. Parsons, Benjamin M. Slim, Jennifer N. Thompson, Michael A. Hwang, Leon Edenfield, William J. Nair, Suresh Onitilo, Adedayo Siegel, Robert Miller, Alan Wassenaar, Timothy Irvin, William J. Schulz, William Padmanabhan, Arvinda Harish, Vallathucherry Gonzalez, Anneliese Mansoor, Abdul Hai Kellum, Andrew Harms, Paul Drewery, Stephanie Falkner, Jayson Fischer, Andrew Hipp, Jennifer Kwiatkowski, Kat Lazo de la Vega, Lorena Mitchell, Khalis Reeder, Travis Siddiqui, Javed Vakil, Hana Johnson, D. Bryan Rhodes, Daniel R. JCO Precis Oncol ORIGINAL REPORTS PURPOSE: Tissue-based comprehensive genomic profiling (CGP) is increasingly used for treatment selection in patients with advanced cancer; however, tissue availability may limit widespread implementation. Here, we established real-world CGP tissue availability and assessed CGP performance on consecutively received samples. MATERIALS AND METHODS: We conducted a post hoc, nonprespecified analysis of 32,048 consecutive tumor tissue samples received for StrataNGS, a multiplex polymerase chain reaction (PCR)–based comprehensive genomic profiling (PCR-CGP) test, as part of an ongoing observational trial (NCT03061305). Sample characteristics and PCR-CGP performance were assessed across all tested samples, including exception samples not meeting minimum input quality control (QC) requirements (< 20% tumor content [TC], < 2 mm(2) tumor surface area [TSA], DNA or RNA yield < 1 ng/µL, or specimen age > 5 years). Tests reporting ≥ 1 prioritized alteration or meeting TC and sequencing QC were considered successful. For prostate carcinoma and lung adenocarcinoma, tests reporting ≥ 1 actionable or informative alteration or meeting TC and sequencing QC were considered actionable. RESULTS: Among 31,165 (97.2%) samples where PCR-CGP was attempted, 10.7% had < 20% TC and 59.2% were small (< 25 mm(2) tumor surface area). Of 31,101 samples evaluable for input requirements, 8,089 (26.0%) were exceptions not meeting requirements. However, 94.2% of the 31,101 tested samples were successfully reported, including 80.5% of exception samples. Positive predictive value of PCR-CGP for ERBB2 amplification in exceptions and/or sequencing QC-failure breast cancer samples was 96.7%. Importantly, 84.0% of tested prostate carcinomas and 87.9% of lung adenocarcinomas yielded results informing treatment selection. CONCLUSION: Most real-world tissue samples from patients with advanced cancer desiring CGP are limited, requiring optimized CGP approaches to produce meaningful results. An optimized PCR-CGP test, coupled with an inclusive exception testing policy, delivered reportable results for > 94% of samples, potentially expanding the proportion of CGP-testable patients and impact of biomarker-guided therapies. Wolters Kluwer Health 2021-08-19 /pmc/articles/PMC8384401/ /pubmed/34476329 http://dx.doi.org/10.1200/PO.20.00472 Text en © 2021 by American Society of Clinical Oncology https://creativecommons.org/licenses/by-nc-nd/4.0/Creative Commons Attribution Non-Commercial No Derivatives 4.0 License: http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | ORIGINAL REPORTS Tomlins, Scott A. Hovelson, Daniel H. Suga, Jennifer M. Anderson, Daniel M. Koh, Han A. Dees, Elizabeth C. McNulty, Brendan Burkard, Mark E. Guarino, Michael Khatri, Jamil Safa, Malek M. Matrana, Marc R. Yang, Eddy S. Menter, Alex R. Parsons, Benjamin M. Slim, Jennifer N. Thompson, Michael A. Hwang, Leon Edenfield, William J. Nair, Suresh Onitilo, Adedayo Siegel, Robert Miller, Alan Wassenaar, Timothy Irvin, William J. Schulz, William Padmanabhan, Arvinda Harish, Vallathucherry Gonzalez, Anneliese Mansoor, Abdul Hai Kellum, Andrew Harms, Paul Drewery, Stephanie Falkner, Jayson Fischer, Andrew Hipp, Jennifer Kwiatkowski, Kat Lazo de la Vega, Lorena Mitchell, Khalis Reeder, Travis Siddiqui, Javed Vakil, Hana Johnson, D. Bryan Rhodes, Daniel R. Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples |
title | Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples |
title_full | Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples |
title_fullStr | Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples |
title_full_unstemmed | Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples |
title_short | Real-World Performance of a Comprehensive Genomic Profiling Test Optimized for Small Tumor Samples |
title_sort | real-world performance of a comprehensive genomic profiling test optimized for small tumor samples |
topic | ORIGINAL REPORTS |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8384401/ https://www.ncbi.nlm.nih.gov/pubmed/34476329 http://dx.doi.org/10.1200/PO.20.00472 |
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