Enhancing Biomarker Detection in Cancer: A Comparative Analysis of Pre-analytical Reverse Transcription Enzymes for Liquid Biopsy Application.
Biomarker
Circulating Tumour Cells
Liquid biopsy
Metastatic cancer
Methodology
Reverse Transcription
Sensitivity
Journal
Laboratory investigation; a journal of technical methods and pathology
ISSN: 1530-0307
Titre abrégé: Lab Invest
Pays: United States
ID NLM: 0376617
Informations de publication
Date de publication:
20 Sep 2024
20 Sep 2024
Historique:
received:
15
05
2024
revised:
21
08
2024
accepted:
16
09
2024
medline:
23
9
2024
pubmed:
23
9
2024
entrez:
22
9
2024
Statut:
aheadofprint
Résumé
Circulating tumour cells and liquid biopsy-based biomarkers might one day play a crucial role in the treatment decision process for patients of several cancer entities. However, clinical studies on liquid biopsy approaches revealed distinct detection rates and thus, different risk scoring for patients. This study delves into the comparison of two utilised reverse transcription (RT) enzymes, namely SuperScript™ IV VILO™ (VILO) and Sensiscript (SS), aiming to understand their impact on biomarker detection rates. Prostate cancer cell lines were used to assess detection limits, followed by an investigation of biomarker status in clinical liquid biopsy samples of distinct tumour entities. Our findings highlight the superior reverse transcription efficacy of VILO over SS, commonly used in studies employing the AdnaTest platform. The enhanced efficacy of VILO results in a significantly higher number of patients positive for biomarkers. Clinically, the use of a less sensitive enzyme system may lead to the misclassification of genuinely biomarker-positive patients, potentially altering their prognosis due to inadequate clinical monitoring or inappropriate treatment strategies.
Identifiants
pubmed: 39307310
pii: S0023-6837(24)01820-8
doi: 10.1016/j.labinv.2024.102142
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
102142Informations de copyright
Copyright © 2024. Published by Elsevier Inc.