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Comment
. 2018 Feb 23;359(6378):866-867.
doi: 10.1126/science.aas9102.

Cancer detection: Seeking signals in blood

Mark Kalinich  1   2 , Daniel A Haber  3   2
Affiliations
Comment

Cancer detection: Seeking signals in blood

Mark Kalinich et al. Science. .
No abstract available

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Figures

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How the CancerSEEK algorithm works
16 cancer genes generates an Omega score that is combined with eight cancer-associated serum proteins to derive a probability for having any of eight different types of cancer. A machine learning algorithm then integrates these data with 31 additional serum proteins and patient gender to predict the tissue of origin.
See this image and copyright information in PMC

Comment on

  • Detection and localization of surgically resectable cancers with a multi-analyte blood test.
    Cohen JD, Li L, Wang Y, Thoburn C, Afsari B, Danilova L, Douville C, Javed AA, Wong F, Mattox A, Hruban RH, Wolfgang CL, Goggins MG, Dal Molin M, Wang TL, Roden R, Klein AP, Ptak J, Dobbyn L, Schaefer J, Silliman N, Popoli M, Vogelstein JT, Browne JD, Schoen RE, Brand RE, Tie J, Gibbs P, Wong HL, Mansfield AS, Jen J, Hanash SM, Falconi M, Allen PJ, Zhou S, Bettegowda C, Diaz LA Jr, Tomasetti C, Kinzler KW, Vogelstein B, Lennon AM, Papadopoulos N. Cohen JD, et al. Science. 2018 Feb 23;359(6378):926-930. doi: 10.1126/science.aar3247. Epub 2018 Jan 18. Science. 2018. PMID: 29348365 Free PMC article.

References

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