Abstract 7115: PredicineDIRECT: a one-stop “from sample to result” workflow for improved sample management in oncology clinical trials

Abstract Background: Liquid biopsy is now a standard in clinical trials, improving therapy selection, prognosis, and biomarker discovery. However, reliance on CROs for sample collection, processing, and storage often leads to delays and inefficiencies. PredicineDIRECT, a genomics-based biorepository system, addresses these challenges by centralizing sample management, enabling rapid and accurate support for clinical trials. Methods: Using ISO13485-certified GMP kits, Predicine collects and processes blood, urine, and tissue samples globally and manage samples using BioLIMS. Patient-specific SNP barcodes and bioinformatics analyses detect errors like mislabeling or sample swaps. Tumor Fraction (TF) is measured via low-pass whole-genome sequencing to assess tumor burden efficiently. This workflow enables real-time quality control, longitudinal tumor burden evaluation, and optimized sample selection for downstream analysis. Sponsors access data through a client portal, while securely stored samples remain ready for immediate in-house genomic testing. Results: In a trial cohort, SNP barcoding identified sample mismatches, including one between plasma and buffy coat samples and another at a longitudinal time point. Predicine promptly resolved these discrepancies, communicating actionable solutions to the sponsor before long-term storage. TF analysis of plasma samples revealed molecular progression, guiding selection of key time points for deep sequencing. A case study also demonstrated SNP inconsistencies between plasma and buffy coat samples, highlighting the robustness of PredicineDIRECT’s error-detection system. Conclusion: PredicineDIRECT provides a streamlined, cost-effective solution for clinical trial sample management by centralizing processes in a single laboratory. With integrated SNP barcoding and TF analysis, the system ensures error-free handling, accelerates downstream sequencing, and delivers actionable insights into tumor burden, supporting efficient and informed decisions in oncology trials. Citation Format: Yong Huang, Ao Zhou, Pan Du, Shidong Jia, Qin Luo, Alexander Kuklin, Myles Walsh. PredicineDIRECT: a one-stop “from sample to result” workflow for improved sample management in oncology clinical trials [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 7115.

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Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-7115
Primary Topic
Radiomics and Machine Learning in Medical Imaging
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article
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article

Abstract 7115: PredicineDIRECT: a one-stop “from sample to result” workflow for improved sample management in oncology clinical trials

Shidong Jia, A. I. Kuklin, Ao Zhou, Pan Du et al.
1 links
Cancer Research
Radiomics and Machine Learning in Medical Imaging
article

Abstract 7115: PredicineDIRECT: a one-stop “from sample to result” workflow for improved sample management in oncology clinical trials

Shidong Jia, A. I. Kuklin, Ao Zhou, Pan Du, Huang Yong, Myles Walsh, Qin Luo
article en

Abstract

Abstract Background: Liquid biopsy is now a standard in clinical trials, improving therapy selection, prognosis, and biomarker discovery. However, reliance on CROs for sample collection, processing, and storage often leads to delays and inefficiencies. PredicineDIRECT, a genomics-based biorepository system, addresses these challenges by centralizing sample management, enabling rapid and accurate support for clinical trials. Methods: Using ISO13485-certified GMP kits, Predicine collects and processes blood, urine, and tissue samples globally and manage samples using BioLIMS. Patient-specific SNP barcodes and bioinformatics analyses detect errors like mislabeling or sample swaps. Tumor Fraction (TF) is measured via low-pass whole-genome sequencing to assess tumor burden efficiently. This workflow enables real-time quality control, longitudinal tumor burden evaluation, and optimized sample selection for downstream analysis. Sponsors access data through a client portal, while securely stored samples remain ready for immediate in-house genomic testing. Results: In a trial cohort, SNP barcoding identified sample mismatches, including one between plasma and buffy coat samples and another at a longitudinal time point. Predicine promptly resolved these discrepancies, communicating actionable solutions to the sponsor before long-term storage. TF analysis of plasma samples revealed molecular progression, guiding selection of key time points for deep sequencing. A case study also demonstrated SNP inconsistencies between plasma and buffy coat samples, highlighting the robustness of PredicineDIRECT’s error-detection system. Conclusion: PredicineDIRECT provides a streamlined, cost-effective solution for clinical trial sample management by centralizing processes in a single laboratory. With integrated SNP barcoding and TF analysis, the system ensures error-free handling, accelerates downstream sequencing, and delivers actionable insights into tumor burden, supporting efficient and informed decisions in oncology trials. Citation Format: Yong Huang, Ao Zhou, Pan Du, Shidong Jia, Qin Luo, Alexander Kuklin, Myles Walsh. PredicineDIRECT: a one-stop “from sample to result” workflow for improved sample management in oncology clinical trials [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 7115.

Cancer ResearchVol. 85(8_Supplement_1)
Shanghai Medical Information Center (CN)
Openalex Percentile: Top 87%
Radiomics and Machine Learning in Medical Imaging
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