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

被引:15
|
作者
Cameron, James M. [1 ]
Sala, Alexandra [1 ]
Antoniou, Georgios [1 ]
Brennan, Paul M. [2 ]
Butler, Holly J. [1 ]
Conn, Justin J. A. [1 ]
Connal, Siobhan [1 ,3 ]
Curran, Tom [4 ]
Hegarty, Mark G. [1 ]
Mchardy, Rose G. [1 ,2 ]
Orringer, Daniel [5 ]
Palmer, David S. [1 ,2 ]
Smith, Benjamin R. [1 ]
Baker, Matthew J. [1 ,6 ]
机构
[1] Dxcover Ltd, Royal Coll Bldg,204 George St, Glasgow City G1 1XW, Scotland
[2] Univ Edinburgh, Ctr Clin Brain Sci, Translat Neurosurg, Edinburgh EH4 2XU, Scotland
[3] Univ Strathclyde, Dept Pure & Appl Chem, Thomas Graham Bldg, 295 Cathedral St, Glasgow G1 1XL, Scotland
[4] Childrens Mercy Kansas City, Childrens Mercy Res Inst, 2401 Gillham Rd, Kansas City, MO 64108 USA
[5] NYU, Grossman Sch Med, Dept Neurosurg, New York, NY 10018 USA
[6] Univ Cent Lancashire, Fac Clin & Biomed Sci, Sch Med, Preston PR1 2HE, England
基金
英国惠康基金;
关键词
SIZE;
D O I
10.1038/s41416-023-02423-7
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundA rapid, low-cost blood test that can be applied to reliably detect multiple different cancer types would be transformational.MethodsIn this large-scale discovery study (n = 2092 patients) we applied the Dxcover & REG; Cancer Liquid Biopsy to examine eight different cancers. The test uses Fourier transform infrared (FTIR) spectroscopy and machine-learning algorithms to detect cancer.ResultsArea 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%).ConclusionsThis 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 relevanceThe 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.
引用
收藏
页码:1658 / 1666
页数:9
相关论文
共 50 条
  • [1] A spectroscopic liquid biopsy for the earlier detection of multiple cancer types
    James M. Cameron
    Alexandra Sala
    Georgios Antoniou
    Paul M. Brennan
    Holly J. Butler
    Justin J. A. Conn
    Siobhan Connal
    Tom Curran
    Mark G. Hegarty
    Rose G. McHardy
    Daniel Orringer
    David S. Palmer
    Benjamin R. Smith
    Matthew J. Baker
    British Journal of Cancer, 2023, 129 : 1658 - 1666
  • [2] A spectroscopic liquid biopsy for the earlier detection of multiple cancer types
    Baker, M. J.
    Cameron, J. M.
    Sala, A.
    Antoniou, G.
    Conn, J. J. A.
    McHardy, R. G.
    Palmer, D. S.
    ANNALS OF ONCOLOGY, 2023, 34 : S714 - S714
  • [3] Validation of a spectroscopic liquid biopsy for the earlier detection of brain cancer
    Cameron, J. M.
    Sala, A.
    Conn, J. J. A.
    Antoniou, G.
    Palmer, D. S.
    Baker, M. J.
    ANNALS OF ONCOLOGY, 2023, 34 : S394 - S394
  • [4] Clinical validation of a spectroscopic liquid biopsy for earlier detection of brain cancer
    Cameron, James M.
    Brennan, Paul M.
    Antoniou, Georgios
    Butler, Holly J.
    Christie, Loren
    Conn, Justin J. A.
    Curran, Tom
    Gray, Ewan
    Hegarty, Mark G.
    Jenkinson, Michael D.
    Orringer, Daniel
    Palmer, David S.
    Sala, Alexandra
    Smith, Benjamin R.
    Baker, Matthew J.
    NEURO-ONCOLOGY ADVANCES, 2022, 4 (01)
  • [5] Early colorectal cancer detection with a spectroscopic liquid biopsy
    Cameron, James Munro
    Antoniou, Georgios
    Brennan, Paul
    Conn, Justin
    Gray, Ewan
    King, Sharon
    McHardy, Rose
    Moug, Susan
    Nobes, Jennifer
    Palmer, David
    Sala, Alexandra
    Smith, Benjamin
    Strachan, Judith
    Mowat, Craig
    Baker, Matthew
    JOURNAL OF CLINICAL ONCOLOGY, 2023, 41 (16)
  • [6] Early colorectal cancer detection with a spectroscopic liquid biopsy
    Cameron, James M.
    Antoniou, Georgios
    Brennan, Paul M.
    Conn, Justin J.
    King, Sharon
    McHardy, Rose G.
    Moug, Susan
    Nobes, Jennifer
    Palmer, David S.
    Sala, Alexandra
    Smith, Benjamin R.
    Strachan, Judith
    Mowat, Craig
    Baker, Matthew J.
    CANCER RESEARCH, 2023, 83 (07)
  • [7] Liquid biopsy screening tool for the earlier detection of brain tumors
    Theakstone, Ashton G.
    Brennan, Paul M.
    Baker, Matthew J.
    CANCER RESEARCH, 2023, 83 (07)
  • [8] Multi-cancer early detection with a spectroscopic liquid biopsy platform.
    Cameron, James M.
    Sala, Alexandra
    Antoniou, Georgios
    Brennan, Paul M.
    Conn, Justin J. A.
    Connal, Siobhan
    Palmer, David S.
    Smith, Benjamin R.
    Baker, Matthew J.
    CANCER RESEARCH, 2022, 82 (12)
  • [9] Clinical validation of a spectroscopic liquid biopsy for early detection of brain cancer.
    Cameron, James M.
    Brennan, Paul M.
    Antoniou, Georgios
    Butler, Holly J.
    Christie, Loren
    Conn, Justin J. A.
    Curran, Tom
    Gray, Ewan
    Hegarty, Mark G.
    Jenkinson, Michael
    Orringer, Daniel
    Palmer, David S.
    Sala, Alexandra
    Smith, Benjamin R.
    Baker, Matthew J.
    CANCER RESEARCH, 2022, 82 (12)
  • [10] Development of a liquid biopsy cfDNA assay for detection of multiple HPV types in cervical neoplasias
    Herbst, Johanna
    Vohl, Vanessa
    Krajina, Maroje
    Prieske, Katharina
    Jaeger, Anna
    Leffers, Markus
    Oliveira-Ferrer, Leticia
    Goy, Yvonne
    Pantel, Klaus
    Sartori, Alexander
    Vollmert, Caren
    Wolber, Linn
    Effenberger, Katharina
    Wikman, Harriet
    CANCER RESEARCH, 2023, 83 (07)