Abstract 3MO
Background
The detection of circulating tumor cells (CTCs) in the blood of glioblastoma (GBM) patients provides a non-invasive method for assessing tumor-related information. Our aim is to use GBM CTCs to obtain knowledge about the tumor and improve the current GBM diagnosis and prognosis.
Methods
Blood samples were collected from 20 primary tumor cases, 18 recurrences, 10 healthy controls, and 4 unhealthy controls. CTCs were isolated using the Parsortix Cell Separation System and the DEPArray system. CTCs were counted in all samples. Copy Number Alterations (CNAs) analysis was performed on some isolated CTCs. Single-cell RNA sequencing (scRNAseq) was also conducted on a primary cancer cell line from a GBM tumor, with CNAs analyzed across all cell populations.
Results
CTC counts were significantly higher in both primary and recurrent GBM patients compared to healthy controls (average CTCs: 10.2 vs.3.1). Primary GBM cases had more CTCs than recurrent cases, with averages of 15 and 4.8, respectively. Based on these findings, a cut-off of 5 CTCs was established to identify tumor samples. Among the four special cases studied, which included lymphoma, radionecrosis, oligodendroglioma, and xanthoastrocytoma, this cut-off validated the accuracy of our CTC detection method. CNA analysis revealed that 51% of isolated CTCs exhibited alterations, while 49% were wild-type. This novel finding was corroborated by scRNAseq analysis of the GBM primary cancer cell line analyzed, wherein both wild-type cells and CNAs were observed with a percentage of CNAs of 51% and 49% respectively, mirroring the distibution observed in CTCs.
Conclusions
Our study demonstrates the potential of CTCs as a non-invasive diagnostic tool for GBM. Elevated CTC counts, especially in primary GBM, highlight their use as biomarkers for disease progression. Additionally, the discovery of wild-type CTCs underscores the heterogeneity within CTC populations, reflecting the diverse structure of GBM itself.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
68MO - Multi-omics profiling identifies two epithelioid sarcoma molecular subtypes with distinct signaling and immune characteristics
Presenter: Carine Ngo
Session: Mini Oral session 2
Resources:
Abstract
Invited Discussant 26MO, 39MO and 68MO
Presenter: Javier Martinez Trufero
Session: Mini Oral session 2
Resources:
Slides
Webcast
Q&A and discussion
Session: Mini Oral session 2
Resources:
Webcast