Early Detection of Cancer in Blood Using Single-Cell Analysis: A Proposal.

Abstract:

:Here, we explore the potential of single-cell genomic analysis in blood for early detection of cancer; we consider a method that screens the presence of recurrent patterns of copy number (CN) alterations using sparse single-cell sequencing. We argue for feasibility, based on in silico analysis of existing single-cell data and cancer CN profiles. Sampling procedures from existing diploid single cells can render data for a cell with any given profile. Sampling from multiple published tumor profiles can interrogate cancer clonality via an algorithm that tests the multiplicity of close pairwise similarities among single-cell cancer genomes. The majority of common solid cancers would be detectable in this manner. As any early detection method must be verifiable and actionable, we describe how further analysis of suspect cells can aid in determining risk and anatomic origin. Future affordability rests on currently available procedures for tumor cell enrichment and inexpensive methods for single-cell analysis.

journal_name

Trends Mol Med

authors

Krasnitz A,Kendall J,Alexander J,Levy D,Wigler M

doi

10.1016/j.molmed.2017.05.005

subject

Has Abstract

pub_date

2017-07-01 00:00:00

pages

594-603

issue

7

eissn

1471-4914

issn

1471-499X

pii

S1471-4914(17)30083-7

journal_volume

23

pub_type

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