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A spectroscopic liquid biopsy for the earlier detection of multiple cancer types
BACKGROUND: A rapid, low-cost blood test that can be applied to reliably detect multiple different cancer types would be transformational. METHODS: In this large-scale discovery study (n = 2092 patients) we applied the Dxcover® Cancer Liquid Biopsy to examine eight different cancers. The test uses F...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645969/ https://www.ncbi.nlm.nih.gov/pubmed/37717120 http://dx.doi.org/10.1038/s41416-023-02423-7 |
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author | Cameron, James M. Sala, Alexandra Antoniou, Georgios Brennan, Paul M. Butler, Holly J. Conn, Justin J. A. Connal, Siobhan Curran, Tom Hegarty, Mark G. McHardy, Rose G. Orringer, Daniel Palmer, David S. Smith, Benjamin R. Baker, Matthew J. |
author_facet | Cameron, James M. Sala, Alexandra Antoniou, Georgios Brennan, Paul M. Butler, Holly J. Conn, Justin J. A. Connal, Siobhan Curran, Tom Hegarty, Mark G. McHardy, Rose G. Orringer, Daniel Palmer, David S. Smith, Benjamin R. Baker, Matthew J. |
author_sort | Cameron, James M. |
collection | PubMed |
description | BACKGROUND: A rapid, low-cost blood test that can be applied to reliably detect multiple different cancer types would be transformational. METHODS: In this large-scale discovery study (n = 2092 patients) we applied the Dxcover® Cancer Liquid Biopsy to examine eight different cancers. The test uses Fourier transform infrared (FTIR) spectroscopy and machine-learning algorithms to detect cancer. RESULTS: Area under the receiver operating characteristic curve (ROC) values were calculated for eight cancer types versus symptomatic non-cancer controls: brain (0.90), breast (0.76), colorectal (0.91), kidney (0.91), lung (0.91), ovarian (0.86), pancreatic (0.84) and prostate (0.86). We assessed the test performance when all eight cancer types were pooled to classify ‘any cancer’ against non-cancer patients. The cancer versus asymptomatic non-cancer classification detected 64% of Stage I cancers when specificity was 99% (overall sensitivity 57%). When tuned for higher sensitivity, this model identified 99% of Stage I cancers (with specificity 59%). CONCLUSIONS: This spectroscopic blood test can effectively detect early-stage disease and can be fine-tuned to maximise either sensitivity or specificity depending on the requirements from different healthcare systems and cancer diagnostic pathways. This low-cost strategy could facilitate the requisite earlier diagnosis, when cancer treatment can be more effective, or less toxic. STATEMENT OF TRANSLATIONAL RELEVANCE: The earlier diagnosis of cancer is of paramount importance to improve patient survival. Current liquid biopsies are mainly focused on single tumour-derived biomarkers, which limits test sensitivity, especially for early-stage cancers that do not shed enough genetic material. This pan-omic liquid biopsy analyses the full complement of tumour and immune-derived markers present within blood derivatives and could facilitate the earlier detection of multiple cancer types. There is a low barrier to integrating this blood test into existing diagnostic pathways since the technology is rapid, simple to use, only minute sample volumes are required, and sample preparation is minimal. In addition, the spectroscopic liquid biopsy described in this study has the potential to be combined with other orthogonal tests, such as cell-free DNA, which could provide an efficient route to diagnosis. Cancer treatment can be more effective when given earlier, and this low-cost strategy has the potential to improve patient prognosis. |
format | Online Article Text |
id | pubmed-10645969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106459692023-09-16 A spectroscopic liquid biopsy for the earlier detection of multiple cancer types Cameron, James M. Sala, Alexandra Antoniou, Georgios Brennan, Paul M. Butler, Holly J. Conn, Justin J. A. Connal, Siobhan Curran, Tom Hegarty, Mark G. McHardy, Rose G. Orringer, Daniel Palmer, David S. Smith, Benjamin R. Baker, Matthew J. Br J Cancer Article BACKGROUND: A rapid, low-cost blood test that can be applied to reliably detect multiple different cancer types would be transformational. METHODS: In this large-scale discovery study (n = 2092 patients) we applied the Dxcover® Cancer Liquid Biopsy to examine eight different cancers. The test uses Fourier transform infrared (FTIR) spectroscopy and machine-learning algorithms to detect cancer. RESULTS: Area under the receiver operating characteristic curve (ROC) values were calculated for eight cancer types versus symptomatic non-cancer controls: brain (0.90), breast (0.76), colorectal (0.91), kidney (0.91), lung (0.91), ovarian (0.86), pancreatic (0.84) and prostate (0.86). We assessed the test performance when all eight cancer types were pooled to classify ‘any cancer’ against non-cancer patients. The cancer versus asymptomatic non-cancer classification detected 64% of Stage I cancers when specificity was 99% (overall sensitivity 57%). When tuned for higher sensitivity, this model identified 99% of Stage I cancers (with specificity 59%). CONCLUSIONS: This spectroscopic blood test can effectively detect early-stage disease and can be fine-tuned to maximise either sensitivity or specificity depending on the requirements from different healthcare systems and cancer diagnostic pathways. This low-cost strategy could facilitate the requisite earlier diagnosis, when cancer treatment can be more effective, or less toxic. STATEMENT OF TRANSLATIONAL RELEVANCE: The earlier diagnosis of cancer is of paramount importance to improve patient survival. Current liquid biopsies are mainly focused on single tumour-derived biomarkers, which limits test sensitivity, especially for early-stage cancers that do not shed enough genetic material. This pan-omic liquid biopsy analyses the full complement of tumour and immune-derived markers present within blood derivatives and could facilitate the earlier detection of multiple cancer types. There is a low barrier to integrating this blood test into existing diagnostic pathways since the technology is rapid, simple to use, only minute sample volumes are required, and sample preparation is minimal. In addition, the spectroscopic liquid biopsy described in this study has the potential to be combined with other orthogonal tests, such as cell-free DNA, which could provide an efficient route to diagnosis. Cancer treatment can be more effective when given earlier, and this low-cost strategy has the potential to improve patient prognosis. Nature Publishing Group UK 2023-09-16 2023-11-09 /pmc/articles/PMC10645969/ /pubmed/37717120 http://dx.doi.org/10.1038/s41416-023-02423-7 Text en © The Author(s) 2023 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 Cameron, James M. Sala, Alexandra Antoniou, Georgios Brennan, Paul M. Butler, Holly J. Conn, Justin J. A. Connal, Siobhan Curran, Tom Hegarty, Mark G. McHardy, Rose G. Orringer, Daniel Palmer, David S. Smith, Benjamin R. Baker, Matthew J. A spectroscopic liquid biopsy for the earlier detection of multiple cancer types |
title | A spectroscopic liquid biopsy for the earlier detection of multiple cancer types |
title_full | A spectroscopic liquid biopsy for the earlier detection of multiple cancer types |
title_fullStr | A spectroscopic liquid biopsy for the earlier detection of multiple cancer types |
title_full_unstemmed | A spectroscopic liquid biopsy for the earlier detection of multiple cancer types |
title_short | A spectroscopic liquid biopsy for the earlier detection of multiple cancer types |
title_sort | spectroscopic liquid biopsy for the earlier detection of multiple cancer types |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10645969/ https://www.ncbi.nlm.nih.gov/pubmed/37717120 http://dx.doi.org/10.1038/s41416-023-02423-7 |
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