Abstract 2227: Multi-analyte profiling reveals relationships among circulating biomarkers in colorectal cancer

Abstract

Abstract Introduction: Blood-based tests hold great promise as cancer diagnostics but until now have largely been restricted to the analysis of a single class of molecules (eg, circulating tumor DNA, platelet mRNA, circulating proteins). The ability to analyze multiple analytes simultaneously from the same biological sample may increase the sensitivity and specificity of such tests by exploiting independent information between signals. Here, we describe an experimental and analytical system that we developed and implemented for the integrated analysis of multiple analytes from a single blood sample, which revealed examples of both correlations and orthogonality among individual analytes. Methods: De-identified blood samples were obtained from healthy individuals, as well as individuals with pre-malignant conditions and stage I-IV colorectal cancer (CRC). After plasma separation, multiple types of analytes were assayed: cell-free DNA (cfDNA) content was assessed by low-coverage whole-genome sequencing (lcWGS) and whole-genome bisulfite sequencing (WGBS), cell-free microRNA (cf-miRNA) was assessed by small-RNA sequencing, and levels of circulating proteins were measured by quantitative immunoassay. Results: lcWGS of plasma cfDNA was able to identify CRC samples with high tumor fraction (>20%) on the basis of copy number variation (CNV) across the genome. High tumor fractions, while more frequent in late-stage cancer samples, were observed in some stage I and II patients. Aberrant signals in each of the three other analytes—cf-miRNA profiles discordant with those in healthy controls, genome-wide hypomethylation at LINE1 (long interspersed nuclear element 1) CpG loci, and elevated levels of circulating carcinoembryonic antigen (CEA) and cytokeratin fragment 21-1 (CYFRA 21-1) proteins—were also observed in cancer patients. Strikingly, aberrant profiles across analytes were indicative of high tumor fraction (as estimated from cfDNA CNV), rather than cancer stage. Conclusion: Our data suggest that tumor fraction is correlated with cancer stage but has a large potential range, even in early stage samples. Previous literature on blood-based screens for detection of cancer has displayed discordance in the claimed ability of different single analytes to detect early stage cancer. Tumor fraction may be able to explain the historical disagreement, as we found that aberrant profiles among cf-miRNA, cfDNA methylation, and circulating protein levels were more strongly associated with high tumor fraction than with late stage. These findings suggest that some positive “early stage” detection results may in fact be “high tumor fraction” detection results. Our results further demonstrate that assaying multiple analytes from a single sample may enable the development of classifiers that are reliable at low tumor fraction and for detecting pre-malignant or early-stage disease. Citation Format: Daniel Delubac, Eric Ariazi, Jonathan Berliner, Adam Drake, John Dulin, Riley Ennis, Erik Gafni, Kate Niehaus, Gabriel Otte, Jennifer Pecson, Girish Putcha, Corey Schaninger, Aarushi Sharma, Mike Singer, Abraham Tzou, Jill Waters, David Weinberg, Brandon White, Imran S. Haque. Multi-analyte profiling reveals relationships among circulating biomarkers in colorectal cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2018; 2018 Apr 14-18; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2018;78(13 Suppl):Abstract nr 2227.