Abstract 5514
Background
Colorectal Cancer (CRC) is the second leading cause of cancer mortality worldwide. An effective and convenient blood test for early detection of CRC is urgently needed to increase screening compliance and reduce mortality. The development of a new blood test for early CRC detection was initiated that leverage the transcriptome analysis of circulating immune cells (ImmunoTranscriptomics) using artificial intelligence and machine learning tools.
Methods
To identify new transcriptional biomarkers for CRC and adenoma detections, peripheral blood mononuclear cells (PBMC) transcriptome were analyzed by RNA-sequencing of 561 subjects (300 Caucasians and 261 Asians) enrolled in the DGNP-COL-0310 study (Ciarloni et al., 2016), a multi-centers case-control study. The cohort included 189 subjects with CRC, 115 with advanced adenoma (AA), 39 with other types of cancer (OC) as well as 218 individuals without any colorectal lesions (CON). Several univariate and multivariate methods were applied to the discovery set (n = 282) and results were integrated into a ranking system. Top ranked genes were selected for further validation and algorithm development in an independent set (n = 279).
Results
A large panel of differentially expressed genes were identified in non-metastatic CRC (I-II-III) and AA compared to CON and OC with significantly high power of discrimination (P-value = 10-13). The novel developed data analytics pipeline was used to analyse the transcriptomic data measurements and the diagnostic accuracy of the new gene signature for CRC, through application of Machine Learning (ML) and bootstrap, was 82% sensitivity and 88% specificity and AUC of 90%. The signature was enriched in genes associated with myeloid cells activation, inflammation and hemostasis, suggesting a key role of the innate immunity in the early response to cancer.
Conclusions
Mapping the reaction of the immune system to onset of cancer and disease identification through application ML methods is a new approach to ensure an unbiased, genome-wide, unsupervised gene expression analysis for a highly specific biomarker identification.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Novigenix SA.
Funding
Novigenix SA.
Disclosure
S. Hosseinian Ehrensberger: Shareholder / Stockholder / Stock options: Novigenix SA. L. Ciarloni: Shareholder / Stockholder / Stock options: Novigenix. All other authors have declared no conflicts of interest.
Resources from the same session
3630 - Results of phase 1 clinical trial of high doses of Seleno-L-methionine (SLM) in sequential combination with Axitinib in previously treated and relapsed clear cell renal carcinoma (ccRCC) patients
Presenter: Yousef Zakharia
Session: Poster Display session 3
Resources:
Abstract
2356 - Safety and Efficacy of CDX-014 , an Antibody-Drug Conjugate against T Cell immunoglobulin mucin-1 (TIM-1), in advanced Renal Cell Carcinoma
Presenter: Bradley McGregor
Session: Poster Display session 3
Resources:
Abstract
1028 - SPAZO2 (SOGUG): Outcomes and prognostic significance of IMDC intermediate prognosis subclassification in metastatic renal cell carcinoma (mRCC) in patients treated with 1st-line pazopanib (1stPz).
Presenter: Begona P. Valderrama
Session: Poster Display session 3
Resources:
Abstract
2293 - Effect of Antacid Intake on the Therapeutic Efficacy of Sunitinib (SUN) in Metastatic Renal Cell Carcinoma (mRCC) Patients (pts): a Sub-Analysis of the STAR-TOR Registry
Presenter: Katrin Schlack
Session: Poster Display session 3
Resources:
Abstract
1451 - Randomized phase 3 trial of avelumab + axitinib vs sunitinib as first-line treatment for advanced renal cell carcinoma: JAVELIN Renal 101 Japanese subgroup analysis
Presenter: Motohide Uemura
Session: Poster Display session 3
Resources:
Abstract
4399 - Overall and progression-free survival according to MSKCC scores in 1st line sunitinib treatment of metastatic renal cell carcinoma (mRCC)
Presenter: Jindrich Finek
Session: Poster Display session 3
Resources:
Abstract
1344 - Combination therapy with checkpoint inhibitors for first-line treatment of advanced renal cell carcinoma: A systematic review and meta-analysis of randomized controlled trials
Presenter: Kyaw Thein
Session: Poster Display session 3
Resources:
Abstract
3462 - A phase II trial of TKI induction followed by a randomized comparison between nivolumab or TKI continuation in renal cell carcinoma (NIVOSWITCH)
Presenter: Viktor Grünwald
Session: Poster Display session 3
Resources:
Abstract
5268 - Nivolumab (N) treatment beyond progression in a real-world cohort of patients (pts) with metastatic renal cell carcinoma (mRCC)
Presenter: Sophie Hans
Session: Poster Display session 3
Resources:
Abstract
4235 - First results of safety profile of nivolumab (NIVO) in combination with stereotactic body radiotherapy (SBRT) in II and III line of patients (pts) with metastatic renal cell carcinoma (mRCC) in NIVES Study
Presenter: Cristina Masini
Session: Poster Display session 3
Resources:
Abstract