A Method for Increasing the Robustness of Stable Feature Selection for Biomarker Discovery in Molecular Medicine Developed Using Serum Small Extracellular Vesicle Associated miRNAs and the Barrett's Oesophagus Disease Spectrum.

The biomarker development field within molecular medicine remains limited by the methods that are available for building predictive models. We developed an efficient method for conservatively estimating confidence intervals for the cross validation-derived prediction errors of biomarker models. This new method was investigated for its ability to improve the capacity of our previously developed method, StaVarSel, for selecting stable biomarkers. Compared with the standard cross validation method, StaVarSel markedly improved the estimated generalisable predictive capacity of serum miRNA biomarkers for the detection of disease states that are at increased risk of progressing to oesophageal adenocarcinoma. The incorporation of our new method for conservatively estimating confidence intervals into StaVarSel resulted in the selection of less complex models with increased stability and improved or similar predictive capacities. The methods developed in this study have the potential to improve progress from biomarker discovery to biomarker driven translational research.

A blood test measuring DNA methylation of BCAT1 and IKZF1 for detection of lung adenocarcinoma.

BACKGROUND: Colorectal (CRC) and lung adenocarcinoma share many genetic and pathological similarities. A circulating tumor DNA (ctDNA) test for CRC may also be useful for detection of lung adenocarcinoma. This study determined if a methylated BCAT1/IKZF1 ctDNA test for CRC can be used for detection of lung adenocarcinoma. PATIENTS AND METHODS: Circulating cell free DNA (ccfDNA) was extracted from plasma collected prospectively from healthy controls, patients in remission from CRC, patients with lung adenocarcinoma, and patients with isolated metastatic CRC lung lesions. Plasma ccfDNA was bisulfite converted and assessed for methylated BCAT1/IKZF1 by quantitative real-time PCR. Comparisons between the different patient groups for a positive ctDNA test (BCAT1 and/or IKZF1) and ctDNA levels (% of total ccfDNA), as well as any associations with clinicopathological and demographic features, were assessed. RESULTS: Methylated BCAT1/IKZF1 ctDNA was detected in 18/39 (46.2 %) patients with lung adenocarcinoma, which was significantly (p < 0.001) higher compared to healthy controls (49/606; 8.1 %) and patients in remission from CRC (22/171, 12.9 %). Patients with stage III/IV lung adenocarcinoma had higher BCAT1/IKZF1 ctDNA positivity compared to stage I/II cases (68.2 % vs 17.7 %, p < 0.01), where a significantly higher proportion tested positive for methylated IKZF1 ctDNA alone (54.6 % vs 5.9 %, p < 0.001). There was no difference in BCAT1/IKZF1 ctDNA test positivity between patients with stage IV primary lung adenocarcinoma (n = 17) compared to lung-metastasising CRC cases (n = 17; 70.6 % v 64.3 %). CONCLUSION: A ctDNA test measuring methylated BCAT1/IKZF1 can sensitively detect lung adenocarcinoma and may be a promising aid for detection of advanced disease. CLINICAL TRIAL REGISTRATIONS: Australian and New Zealand Clinical Trials Registry, www.anzctr.org.au, ACTRN12616001138471, ACTRN12611000318987.

Detection of hypermethylated BCAT1 and IKZF1 DNA in blood and tissues of colorectal, breast and prostate cancer patients.

BACKGROUND: Detection of circulating cell-free DNA (ccfDNA) methylated in BCAT1 and IKZF1 is sensitive for detection of colorectal cancer (CRC), but it is not known if these biomarkers are present in other common adenocarcinomas. OBJECTIVE: Compare methylation levels of BCAT1 and IKZF1 in tissue and plasma from breast, prostate, and colorectal cancer patients. METHODS: Blood was collected from 290 CRC, 32 breast and 101 prostate cancer patients, and 606 cancer-free controls. Tumor and matched normal tissues were collected at surgery: 26 breast, 9 prostate and 15 CRC. DNA methylation in BCAT1 and IKZF1 was measured in blood and tissues. RESULTS: Either biomarker was detected in blood from 175/290 (60.3%) of CRC patients. The detection rate was higher than that measured in controls (48/606 (8.1%), OR = 18.2, 95%CI: 11.1-29.0). The test positivity rates in breast and prostate cancer patients were 9.4% (3/32) and 6.9% (7/101), respectively, and not significantly different to that measured in gender-matched controls (8.0% (33/382) females (OR = 0.84, 95%CI: 0.23-3.1) and 7.6% (26/318) males (OR = 0.86, 95%CI: 0.65-2.1). In tumor and non-neoplastic tissues, 93.5% (14/15) of CRC tumors were methylated in BCAT1 and/or IKZF1 (p< 0.004). Only 11.5% (3/26) and 44.4% (4/9) (p= 0.083) of breast and prostate tumors were hypermethylated in these two genes. CONCLUSIONS: Detection of circulating DNA methylated in BCAT1 and IKZF1 is sensitive and specific for CRC but not breast or prostate cancer.