Capturing circulating tumor cells (CTCs) from the peripheral blood of cancer patients, where they are disseminated among billions of other blood cells, is one of the most daunting challenge. We report OncoDiscover®, a multicomponent nano-system consisting of iron oxide (Fe₃O₄) nanoparticles (NPs), polyamidoamine generation 4 dendrimers (PAMAM-G4-NH₂), graphene oxide (GO) sheets and an anti-epithelial cell adhesion molecule (anti-EpCAM) antibody (Fe-GSH-PAMAM-GO-EpCAM) for the selective and precise capture of CTCs. We further evaluated this system for therapeutically important oncotargets, exemplifying overexpression of the programmed death ligand 1 (PD-L1) as a functional assay on CTCs in cancer patients. We retrospectively evaluated 134 cancer patients for the presence of CTCs and 113 (84%) showed the presence of CTCs. About 62 (55%) of the CTC +ve patients showed CTCs with PD-L1 expression. The personalized cancer detection demonstrated by the OncoDiscover® CTC analysis tool is highly relevant for cancer monitoring and treatment outcomes.

Circulating tumor cells (CTCs) are shed from the primary tumor into the bloodstream and represent dynamic molecular biomarkers for monitoring the progression of cancer. While profiling tumor tissues with over expression of cell surface markers, such as PD-L1 or HER2, is standard in guiding therapy, tissue samples are often inaccessible and inadequate, especially post-surgery or in cases of recurrence. Emerging clinical evidence indicates that CTC counts and biomarker surface expression can predict prognosis and therapeutic resistance more accurately than imaging or tissue-based approaches. Recent advancements in the CTC detection methods, based on physical properties or surface markers (e.g., EpCAM), coupled with next-generation sequencing (NGS) have enabled the isolation of these rare cells and their molecular characterization. Consequently, CTCs provide a real-time alternative, enabling repeated, longitudinal assessment of tumor phenotype and therapeutic response. This review emphasizes the translational potential of surface protein biomarkers on CTCs for profiling, namely PD-L1, HER2, and EGFR, as a clinically actionable approach to stratify patients, guide immunotherapy decisions, and monitor minimal residual disease (MRD), especially when longitudinal tissue biopsies are not feasible.

Designing chemical composites using advanced nanomaterials results in micro/nanorobots with exceptional autonomous navigation ability and bio-chemical functionality.

3D polymeric microfilms chemically modified with targeting ligands capture circulating tumor cells from cancer patients' blood samples with high specificity and provide anchor points for cell adhesion and growth.

Background: Comprehensive genomic profiling (CGP) via next-generation sequencing (NGS) is pivotal for precision oncology, yet many laboratories face challenges with incomplete genomic coverage, complex bioinformatics workflows, and limited integration of key biomarkers. Methods: We evaluated the analytical performance and clinical utility of a CGP assay using 119 tumor samples representing 18 types of cancer, previously analyzed with an orthogonal NGS panel. Concordance was assessed across 81 genes, covering 176 single-nucleotide variants (SNVs), eight copy number variations (CNVs), four deletions, one duplication, and four gene fusions. Limit of detection (LOD) studies employed AcroMetrix Mutant Hotspot Control and SeraSeq Lung and Brain CNV Mix. Microsatellite instability (MSI) and tumor mutational burden (TMB) were quantified. Inter- and intra-run reproducibility were evaluated to assess precision. Results: The CGP assay demonstrated high analytical performance, with >99% sensitivity, 100% specificity, and complete accuracy for variant detection. LOD studies revealed robust detection of SNVs at ≤5% variant allele frequencies (VAF) and CNVs at three copies. MSI and TMB results were consistent with clinical expectations, showing minimal bias compared to the orthogonal panel. Inter- and intra-run testing confirmed 100% reproducibility, indicating strong assay precision. Post-sequencing variant reporting was streamlined using the iCare platform, enabling direct FASTQ-to-report generation without intermediate bioinformatic steps. Conclusions: These findings support the present assay’s clinical utility in personalized oncology assessment.