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Combined DNA Analysis from Stool and Blood Samples Improves Tumor Tracking and Assessment of Clonal Heterogeneity in Localized Rectal Cancer Patients.

Authors :
Parigger T
Gassner FJ
Drothler S
Scherhäufl C
Hödlmoser A
Schultheis L
Bakar AA
Huemer F
Greil R
Geisberger R
Weiss L
Zaborsky N
Source :
Technology in cancer research & treatment [Technol Cancer Res Treat] 2024 Jan-Dec; Vol. 23, pp. 15330338241252706.
Publication Year :
2024

Abstract

Objectives: In this study, stool samples were evaluated for tumor mutation analysis via a targeted next generation sequencing (NGS) approach in a small patient cohort suffering from localized rectal cancer. Introduction: Colorectal cancer (CRC) causes the second highest cancer-related death rate worldwide. Thus, improvements in disease assessment and monitoring that may facilitate treatment allocation and allow organ-sparing "watch-and-wait" treatment strategies are highly relevant for a significant number of CRC patients. Methods: Stool-based results were compared with mutation profiles derived from liquid biopsies and the gold standard procedure of tumor biopsy from the same patients. A workflow was established that enables the detection of de-novo tumor mutations in stool samples of CRC patients via ultra-sensitive cell-free tumor DNA target enrichment. Results: Notably, only a 19% overall concordance was found in mutational profiles across the compared sample specimens of stool, tumor, and liquid biopsies. Conclusion: Based on these results, the analysis of stool and liquid biopsy samples can provide important additional information on tumor heterogeneity and potentially on the assessment of minimal residual disease and clonal tumor evolution.<br />Competing Interests: Declaration of Conflicting InterestsThe authors declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: LW and RGr honoraria from Roche Austria; RGr research funding Roche. ctDNA kits were provided by Roche. All other authors declare no conflict of interest.

Details

Language :
English
ISSN :
1533-0338
Volume :
23
Database :
MEDLINE
Journal :
Technology in cancer research & treatment
Publication Type :
Academic Journal
Accession number :
38766867
Full Text :
https://doi.org/10.1177/15330338241252706