Evidence map›Paper›PMID 33970922›Full record

ArticlePloS one2021

Fit-for-purpose quantitative liquid biopsy based droplet digital PCR assay development for detection of programmed cell death ligand-1 (PD-L1) RNA expression in PAXgene blood samples.

Dennis O'Rourke, Danyi Wang, Jorge F Sanchez-Garcia, Maria Perella Cusano, Waldemar Miller, Ti Cai, Juergen Scheuenpflug, Zheng Feng

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 38% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Bifunctional SnOMikrochimica acta · 2024
    Article
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Dennis O'RourkeGlobal Clinical Biomarkers & Companion Diagnostics, Translational Medicine, Global Development, EMD Serono Research and Development Institute, Inc. a division of Merck KGaA, Billerica, MA, United States of America.ORCID 0000-0002-9011-1032
Danyi WangGlobal Clinical Biomarkers & Companion Diagnostics, Translational Medicine, Global Development, EMD Serono Research and Development Institute, Inc. a division of Merck KGaA, Billerica, MA, United States of America.
Jorge F Sanchez-GarciaGlobal Clinical Biomarkers & Companion Diagnostics, Translational Medicine, Global Development, EMD Serono Research and Development Institute, Inc. a division of Merck KGaA, Billerica, MA, United States of America.
Maria Perella CusanoGlobal Clinical Biomarkers & Companion Diagnostics, Translational Medicine, Global Development, EMD Serono Research and Development Institute, Inc. a division of Merck KGaA, Billerica, MA, United States of America.
Waldemar MillerBiosample Informatics and Biobanking, Clinical Trial Management, Global Clinical Operations, Global Development, Merck KGaA, Darmstadt, Germany.
Ti CaiGlobal Clinical Biomarkers & Companion Diagnostics, Translational Medicine, Global Development, EMD Serono Research and Development Institute, Inc. a division of Merck KGaA, Billerica, MA, United States of America.
Juergen ScheuenpflugGlobal Clinical Biomarkers & Companion Diagnostics, Translational Medicine, Global Development, Merck KGaA, Darmstadt, Germany.
Zheng FengGlobal Clinical Biomarkers & Companion Diagnostics, Translational Medicine, Global Development, EMD Serono Research and Development Institute, Inc. a division of Merck KGaA, Billerica, MA, United States of America.
Merck (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of a clinically applicable liquid biopsy-based test for PD-L1 mRNA expression would be beneficial in providing complementary evidence to current immunohistochemistry assays. Hence, we report the development of a fit-for-purpose assay for detection of blood PD-L1 mRNA expression using droplet digital polymerase chain reaction (ddPCR). TaqMan® assays were selected based on coverage of the PD-L1 gene and were tested for linearity and efficiency using real-time quantitative PCR. Four reference genes were analyzed in positive control cell line (A549 treated with interferon gamma, [IFN γ]) genomic DNA. The PD-L1 primer/probe sets were also evaluated in ddPCR for limit of blank, limit of detection, and precision. Finally, thirty-five healthy volunteer samples were evaluated to establish a baseline level of PD-L1 expression. In ddPCR, the limit of blank was determined to be 0 copies and the limit of detection was determined to be less than or equal to 19 copies of PD-L1. The average intra-run coefficient of variation in the ddPCR assay was 7.44% and average inter-run CV was 7.70%. Treatment of A549 cells with IFN γ resulted in a 6.7-fold increase in PD-L1 expression (21,580 copies in untreated cDNA versus 145,000 copies in treated cDNA). Analysis of healthy human samples yielded a median value of 1659 PD-L1 copies/μL with a range of 768-7510 copies/μL. The assay was transferred to an external service provider and results from our in-house experiments and those conducted externally shows a correlation of 0.994. In conclusion, a fit-for-purpose liquid biopsy-based, purely quantitative ddPCR assay for the detection of PD-L1 mRNA expression was developed and validated using PAXgene RNA blood samples. Linearity, reproducibility, limit of blank and limit of detection were measured and deemed suitable for clinical application. This ultra-sensitive liquid biopsy ddPCR assay has promising clinical potential in screening, longitudinal monitoring and disease progression detection.

Indexed as

B7-H1 AntigenDiagnostic Tests, RoutineHumansLiquid BiopsyReal-Time Polymerase Chain ReactionRNAB7-H1 AntigenCD274 protein, humanRNA

Identifiers

PMID33970922
PMCPMC8109819
OpenAlexW3163320676

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.