A spectroscopic liquid biopsy for the earlier detection of multiple cancer types

Author:

Cameron James M.ORCID,Sala Alexandra,Antoniou Georgios,Brennan Paul M.ORCID,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.

Abstract

Abstract 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.

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology

Reference30 articles.

1. Testori S. Public Health England, Cancer Research UK. Cancer patients diagnosed at an earlier stage are more likely to have surgery than chemotherapy. Published October 2017. What’s the Most Common Treatment For Cancer? Available from: https://news.cancerresearchuk.org/2017/10/26/cancer-patients-diagnosed-at-an-earlier-stage-are-more-likely-to-have-surgery-than-chemotherapy/. Accessed August 2021.

2. Fares J, Fares MY, Khachfe HH, Salhab HA, Fares Y. Molecular principles of metastasis: a hallmark of cancer revisited. Sig Transduct Target Ther. 2020;5:28.

3. Ofman JJ, Hall MP, Aravanis AM, Dr O, Park M. GRAIL and the quest for earlier multi-cancer detection. Nature. https://www.nature.com/articles/d42473-020-00079-y. Accessed March 2023.

4. Crosby D, Bhatia S, Brindle KM, Coussens LM, Dive C, Emberton M, et al. Early detection of cancer. Science. 2022;375:eaay9040.

5. Cohen JD, Li L, Wang Y, Thoburn C, Afsari B, Danilova L, et al. Detection and localization of surgically resectable cancers with a multi-analyte blood test. Science 2018;359:926–30.

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