Taylor, William R.

Guideline-recommended screening programs exist for only a few cancer types. Although all these programs are understood to lead to reductions in cancer-related mortality, standard-of-care screening tests vary in accuracy, adherence and effectiveness. Recent advances in high-throughput technologies and machine learning have facilitated the development of blood-based multi-cancer cancer early detection (MCED) tests. MCED tests are positioned to be complementary to standard-of-care screening and they may broaden screening availability, especially for individuals who are not adherent with current screening programs and for individuals who may harbor cancers with no available screening options. In this article, we outline some key features that should be considered for study design and MCED test development, provide an example of the developmental pathway undertaken for an emerging multi-biomarker class MCED test and propose a clinical algorithm for an imaging-based diagnostic resolution strategy following MCED testing.

Colorectal adenomas are precursors of CRC. Recently, the gut microbiota, i.e., the collection of microbes residing in our gut, has been recognized as a key player in CRC development. There have been a number of gut microbiota profiling studies for colorectal adenoma and CRC; however, fewer studies have considered the gut metabolome, which serves as the chemical interface between the host and gut microbiota. Here, we conducted a gut metabolome profiling study of colorectal adenoma and CRC and analyzed the metabolomic profiles together with paired microbiota composition profiles. We found several chemical signatures of colorectal adenoma that were associated with some gut microbes and potentially indicative of future CRC. This study highlights potential early-driver metabolites in CRC pathogenesis and guides further targeted experiments and thus provides an important stepping stone toward developing better CRC prevention strategies.

Abstract Aberrantly methylated genes represent attractive and broadly informative markers for colorectal cancer (CRC). As demographics, numerous ingestants, environmental exposures, and obesity variably influence both gene methylation rates and CRC incidence, it is important to understand the effects of such covariates on the clinical performance of CRC screening tests that incorporate assay of methylated gene markers. Based on a recent multicenter study (Ahlquist et al. Gastroenterology 2012 (in press)), stool assay of carefully selected methylated gene marker candidates (NDRG4, BMP3, vimentin, TFPI2), alone or in combination, yield high detection rates of both CRC and large adenomas. Aim: To assess the impact of demographic, exposure, body mass, and other patient variables on stool levels of the above 4 methylated gene markers. Methods: We studied buffered stools collected within 3 years of a normal colonoscopy from 500 patients undergoing average-risk screening or polyp surveillance (median age 64 (range 44-85); 53% women). Upon receipt, stools were promptly homogenized, aliquoted, and frozen at –80°C. On supernatants from thawed/spun aliquots, target genes were purified by hybrid capture, bisulfite treated, and assayed using the analytically-sensitive QuARTS method (quantitative allele-specific real-time target and signal amplification), as described (above citation). The reference gene β-actin was assayed along with methylation of NDRG4, BMP3, vimentin, TFPI2. Log-converted data were normalized to allow comparison of effects between markers, and effect size was expressed as % change relative to standard deviation for each marker (standardized relative change (SRβ)). Results: The only patient characteristic that significantly influenced all methylated marker levels in stool was age (p<0.0001 for each marker); SRΔ was greatest with TFPI2 at +91.3 (p<0.001 vs other markers), least with BMP3 at +29.7 (p<0.001 vs others), and intermediate with vimentin at +46.0 and NDRG4 at +45.1. In contrast to methylation markers, levels of β-actin did not change across age. The other demographic variables of sex, race, and geographic residence had no effect on methylation markers. Marker levels were also not affected by exposure variables (smoking, alcohol consumption, or analgesic use), by family history of CRC or polyps, or by personal history of polyps. Finally, neither overweight status (n=176) nor obesity (n=148) had an effect on marker levels. Conclusions: Age significantly affects stool levels of tumor-associated methylated gene markers in colonoscopy-normal patients, and the degree of this age effect differs across markers. In contrast, other key patient variables had no effect on stool marker levels. Comment: Optimal use of these methylation markers for stool screening of CRC may require age-adjustment of normal cutoff levels to maximize test specificity. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 103rd Annual Meeting of the American Association for Cancer Research; 2012 Mar 31-Apr 4; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2012;72(8 Suppl):Abstract nr 3572. doi:1538-7445.AM2012-3572

Abstract BACKGROUND Aberrantly methylated genes represent important markers for cancer diagnosis. We describe a multiplex detection approach to efficiently quantify these markers for clinical applications such as colorectal cancer screening. METHODS Quantitative allele-specific real-time target and signal amplification (QuARTS) combines a polymerase-based target amplification with an invasive cleavage-based signal amplification. The fluorescence signal is detected in a fashion similar to real-time PCR. We measured the dynamic range and analytical sensitivity of multiplex QuARTS reactions with titrated plasmid DNA. We used the QuARTS technology to quantify methylated BMP3, NDRG4, VIM, and TFPI2 genes on 91 DNA samples extracted from colorectal tissues, including 37 cancers, 25 adenomas, and 29 healthy epithelia. The assays were designed in triplex format that incorporated ACTB as a reference gene. Percent methylation was calculated by dividing methylated strands over ACTB strands and multiplying by 100. RESULTS The QuARTS method linearly detected methylated or unmethylated VIM gene down to 10 copies. No cross-reactivity was observed when methylated assays were used to amplify 105 copies of unmethylated gene and vice versa. The multiplex assay detected methylated genes spiked in unmethylated genes at a 0.01% ratio and vice versa. At a diagnostic specificity cutoff of 95%, methylated BMP3, NDRG4, VIM, and TFPI2 detected 84%, 92%, 86%, and 92% of colorectal cancers and 68%, 76%, 76%, and 88% of adenomas, respectively. CONCLUSIONS The QuARTS technology provides a promising approach for quantifying methylated markers. The markers assayed highly discriminated colorectal neoplasia from healthy epithelia.