Development and clinical validation of a blood test based on 29-gene expression for early detection of colorectal cancer

A blood test for colorectal cancer (CRC) screening is a valuable tool to for testing asymptomatic individuals and reducing CRC-related mortality. The objective of this study was to develop and validate a novel blood test able to differentiate patients with CRC and adenomatous polyps (AP) from individuals with a negative colonoscopy. Experimental Design: A case-control, multicenter clinical study was designed to collect blood samples from patients referred for colonoscopy or surgery. Predictive algorithms were developed on 75 controls, 61 large AP (LAP) {greater than or equal to}1cm, 45 CRC, and independently validated on 74 controls, 42 LAP, 52 CRC (23 Stages I-II) as well as on 245 cases including other colorectal findings and diseases other than CRC. The test is based on a 29-gene panel expressed in peripheral blood mononuclear cells alone or in combination with established plasma tumor markers. Results: The 29-gene algorithm detected CRC and LAP with a sensitivity of 79.5% and 55.4%, respectively, with 90.0% specificity. Combination with the protein tumor markers CEA and CYFRA21-2 resulted in a specificity increase (92.2%) with a sensitivity for CRC and LAP detection of 78.1% and 52.3%, respectively. Conclusions: We report the validation of a novel blood test, Colox®, for the detection of CRC and LAP based on a 29-gene panel and the CEA and CYFRA21-1 plasma biomarkers. The performance and convenience of this routine blood test provides physicians a useful tool to test average risk individuals unwilling to undergo upfront colonoscopy

COLOX: a new blood-based test for colorectal cancer (CRC)screening

BACKGROUND: The objective is to develop a cost-effective, reliable and non invasive screening test able to detect early CRCs and adenomas. This is done on a nucleic acids multigene assay performed on peripheral blood mononuclear cells (PBMCs). METHODS: A colonoscopy-controlled study was conducted on 179 subjects. 92 subjects (21 CRC, 30 adenoma >1 cm and 41 controls) were used as training set to generate a signature. Other 48 subjects kept blinded (controls, CRC and polyps) were used as a test set. To determine organ and disease specificity 38 subjects were used: 24 with inflammatory bowel disease (IBD),14 with other cancers (OC). Blood samples were taken and PBMCs were purified. After the RNA extraction, multiplex RT-qPCR was applied on 92 different candidate biomarkers. After different univariate and multivariate analysis 60 biomarkers with significant p-values (<0.01) were selected. 2 distinct biomarker signatures are used to separate patients without lesion from those with CRC or with adenoma, named COLOX CRC and COLOX POL. COLOX performances were validated using random resampling method, bootstrap. RESULTS: COLOX CRC and POL tests successfully separate patients without lesions from those with CRC (Se 67%, Sp 93%, AUC 0.87), and from those with adenoma > 1cm (Se 63%, Sp 83%, AUC 0.77). 6/24 patients in the IBD group and 1/14 patients in the OC group have a positive COLOX CRC. CONCLUSION: The two COLOX tests demonstrated a high Se and Sp to detect the presence of CRCs and adenomas > 1 cm. A prospective, multicenter, pivotal study is underway in order to confirm these promising results in a larger cohort

Study design.

<p>In a first screening phase performed on the OpenArray system, 670 genes were profiled on 93 samples. Out of these, 163 genes were selected and further tested in phase 2 on additional 51 samples. The final dataset included 144 samples profiled with 163 genes. A 29-gene panel was compiled based on highest power to discriminate AP/CRC from controls by univariate and multivariate analysis. Finally, the 29-gene panel was validated with a LightCycler480 platform, commonly used in clinical laboratories.</p

Validation of the 29-gene panel on the LightCycler480 qPCR platform.

<p>Scatter plots comparing analyses performed for each gene on the datasets generated on the LC480 and OpenArray platforms. The following variables have been used: <b>A.</b> Mean normalized expression values (ΔCp and ΔCt) (R²: 0.933), <b>B.</b> Mean standard deviations (SD) relative to each target gene measured, <b>C.</b> Gene expression fold changes between the CRC and the control group (linear absolute values), <b>D.</b> p-values from statistical testing between the CRC and the control group (log transformed). Lines represent a p-value<0.05. Gene names have been overlapped to the graphs.</p

Functional analysis of the 29-gene panel.

<p>The table reports the most significantly represented biological functions within the gene panel. P-values measure the likelihood that the association between a set of biomarkers and a given Ingenuity Pathway Analysis (IPA) functional category is random. The p-value is calculated using the right-tailed Fisher Exact Test. The number of genes associated with a specific function is reported in the last column.</p><p>Functional analysis of the 29-gene panel.</p

Receiving Operating Characteristics (ROC) analysis.

<p><b>A.</b> Summary of the false and true positive rates of the 29-gene panel in classifying CRC cases. <b>B.</b> Summary of the false and true positive rates of the 29-gene panel in classifying AP cases. Analyses were performed using 500 bootstrap validations. The boxplots represent the distribution of the 500 bootstraps. The black line represents the average values over 500 bootstraps for clinical specificity and sensitivity.</p

Whole Blood Transcriptome Profiling Identifies DNA Replication and Cell Cycle Regulation as Early Marker of Response to Anti-PD-1 in Patients with Urothelial Cancer

Although immune checkpoint inhibitors improve median overall survival in patients with metastatic urothelial cancer (mUC), only a minority of patients benefit from it. Early blood-based response biomarkers may provide a reliable way to assess response weeks before imaging is available, enabling an early switch to other therapies. We conducted an exploratory study aimed at the identification of early markers of response to anti-PD-1 in patients with mUC. Whole blood RNA sequencing and phenotyping of peripheral blood mononuclear cells were performed on samples of 26 patients obtained before and after 2 to 6 weeks of anti-PD-1. Between baseline and on-treatment samples of patients with clinical benefit, 51 differentially expressed genes (DEGs) were identified, of which 37 were upregulated during treatment. Among the upregulated genes was PDCD1, the gene encoding PD-1. STRING network analysis revealed a cluster of five interconnected DEGs which were all involved in DNA replication or cell cycle regulation. We hypothesized that the upregulation of DNA replication/cell cycle genes is a result of T cell proliferation and we were able to detect an increase in Ki-67+ CD8+ T cells in patients with clinical benefit (median increase: 1.65%, range −0.63 to 7.06%, p = 0.012). In patients without clinical benefit, no DEGs were identified and no increase in Ki-67+ CD8+ T cells was observed. In conclusion, whole blood transcriptome profiling identified early changes in DNA replication and cell cycle regulation genes as markers of clinical benefit to anti-PD-1 in patients with urothelial cancer. Although promising, our findings require further validation before implementation in the clinic

Proangiogenic Factor PlGF Programs CD11b+ Myelomonocytes in Breast Cancer during Differentiation of Their Hematopoietic Progenitors.

Tumor-mobilized bone marrow-derived CD11b(+) myeloid cells promote tumor angiogenesis, but how and when these cells acquire proangiogenic properties is not fully elucidated. Here, we show that CD11b(+) myelomonocytic cells develop proangiogenic properties during their differentiation from CD34(+) hematopoietic progenitors and that placenta growth factor (PlGF) is critical in promoting this education. Cultures of human CD34(+) progenitors supplemented with conditioned medium from breast cancer cell lines or PlGF, but not from nontumorigenic breast epithelial lines, generate CD11b(+) cells capable of inducing endothelial cell sprouting in vitro and angiogenesis in vivo. An anti-Flt-1 mAb or soluble Flt-1 abolished the generation of proangiogenic activity during differentiation from progenitor cells. Moreover, inhibition of metalloproteinase activity, but not VEGF, during the endothelial sprouting assay blocked sprouting induced by these proangiogenic CD11b(+) myelomonocytes. In a mouse model of breast cancer, circulating CD11b(+) cells were proangiogenic in the sprouting assays. Silencing of PlGF in tumor cells prevented the generation of proangiogenic activity in circulating CD11b(+) cells, inhibited tumor blood flow, and slowed tumor growth. Peripheral blood of breast cancer patients at diagnosis, but not of healthy individuals, contained elevated levels of PlGF and circulating proangiogenic CD11b(+) myelomonocytes. Taken together, our results show that cancer cells can program proangiogenic activity in CD11b(+) myelomonocytes during differentiation of their progenitor cells in a PlGF-dependent manner. These findings impact breast cancer biology, detection, and treatment. Cancer Res; 71(11); 3781-91. ©2011 AACR