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
2108 - Biomarker analyses of ramucirumab in patients with platinum refractory urothelial cancer from RANGE, a global, randomized, double-blind, phase 3 study.
Presenter: Michiel Van der Heijden
Session: Poster Display session 3
Resources:
Abstract
3090 - Comparison of Immuno-Oncology (IO) Biomarkers in Adenocarcinoma (ACB), Urothelial Carcinoma (UCB) and Squamous Cell Carcinoma (SCCB) of the Bladder, with interim results from PURE01
Presenter: Daniele Raggi
Session: Poster Display session 3
Resources:
Abstract
5211 - Potential role of a clinical, taxonomical classification and RNA expression integrated signature to predict response to neoadjuvant platinum-based chemotherapy in muscle-invasive bladder cancer (MIBC) patients
Presenter: Albert Font
Session: Poster Display session 3
Resources:
Abstract
3206 - Hyperphosphatemia due to Erdafitinib (a Pan-FGFR Inhibitor) and Anti-tumor Activity Among Patients (Pts) with Advanced Urothelial Carcinoma (UC)
Presenter: Scott Tagawa
Session: Poster Display session 3
Resources:
Abstract
3110 - Prognostic role of FGFR Mutations and FGFR mRNA expression in metastatic urothelial cancer treated with anti-PD(L1) inhibitors in first and second line setting
Presenter: Florian Roghmann
Session: Poster Display session 3
Resources:
Abstract
3564 - Circulating tumour DNA (ctDNA) utility as a biomarker for metastatic urothelial carcinoma (mUC)
Presenter: Jean-Michel Lavoie
Session: Poster Display session 3
Resources:
Abstract
2760 - Comparative analysis of tumor mutational burden (TMB) prediction methods and its association with determinants of the tumor immune microenvironment of urothelial bladder cancer (UBC)
Presenter: Markus Eckstein
Session: Poster Display session 3
Resources:
Abstract
2513 - The Immunoscore in patients with urothelial carcinoma treated with neoadjuvant chemotherapy: clinical significance for pathological response and survival
Presenter: Elise Nassif
Session: Poster Display session 3
Resources:
Abstract
2835 - Genomic analysis of urothelial cancer and associations with treatment choice and outcome
Presenter: David Sarid
Session: Poster Display session 3
Resources:
Abstract
5763 - cfDNA is an acceptable but insufficient means of characterizing FGFR3 mutation in patients with metastatic urothelial cancer (mUC)
Presenter: Sumanta Pal
Session: Poster Display session 3
Resources:
Abstract