Evidence map›Paper›PMID 37251903›Full record

ArticleHeliyon2023

Combining cell-free RNA with cell-free DNA in liquid biopsy for hematologic and solid tumors.

Maher Albitar, Hong Zhang, Ahmad Charifa, Andrew Ip, Wanlong Ma, James McCloskey, Michele Donato, David Siegel, Stanley Waintraub, Martin Gutierrez and 2 more

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

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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

12 authors at 2 institutions in 1 country.

Maher AlbitarGenomic Testing Cooperative, LCA, Irvine, CA, 92618, USA.
Hong ZhangGenomic Testing Cooperative, LCA, Irvine, CA, 92618, USA.
Ahmad CharifaGenomic Testing Cooperative, LCA, Irvine, CA, 92618, USA.
Andrew IpJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, 07601, USA.
Wanlong MaGenomic Testing Cooperative, LCA, Irvine, CA, 92618, USA.
James McCloskeyJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, 07601, USA.
Michele DonatoJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, 07601, USA.
David SiegelJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, 07601, USA.
Stanley WaintraubJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, 07601, USA.
Martin GutierrezJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, 07601, USA.
Andrew PecoraJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, 07601, USA.
Andre GoyJohn Theurer Cancer Center at Hackensack University Medical Center, Hackensack, NJ, 07601, USA.
Hackensack University Medical Center · USGenomic Health (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current use of liquid biopsy is based on cell-free DNA (cfDNA) and the evaluation of mutations or methylation pattern. However, expressed RNA can capture mutations, changes in expression levels due to methylation, and provide information on cell of origin, growth, and proliferation status. We developed an approach to isolate cell-free total nucleic acid (cfDNA) and used targeted next generation sequencing to sequence cell-free RNA (cfRNA) and cfDNA as new approach in liquid biopsy. We demonstrate that cfRNA is overall more sensitive than cfDNA in detecting mutations. We show that cfRNA is reliable in detecting fusion genes and cfDNA is reliable in detecting chromosomal gains and losses. cfRNA levels of various solid tumor biomarkers were significantly higher (P < 0.0001) in samples from solid tumors as compared with normal control. Similarly, cfRNA lymphoid markers and cfRNA myeloid markers were all higher in lymphoid and myeloid neoplasms, respectively as compared with control (P < 0.0001). Using machine learning we demonstrate cfRNA was highly predictive of diagnosis (AUC >0.98) of solid tumors, B-cell lymphoid neoplasms, T-cell lymphoid neoplasms, and myeloid neoplasms. In evaluating the host immune system, cfRNA CD4:CD8B and CD3D:CD19 ratios in normal controls were as expected (median: 5.92 and 6.87, respectively) and were significantly lower in solid tumors (P < 0.0002). This data suggests that liquid biopsy combining analysis of cfRNA with cfDNA is practical and may provide helpful information in predicting genomic abnormalities, diagnosis of neoplasms and evaluating both the tumor biology and the host response.

Indexed as

BiomarkersCancer diagnosisCell-free DNACell-free RNAExpression profilingLiquid biopsyMachine learningMinimal residual diseaseMutationsNext generation sequencing

Identifiers

PMID37251903
PMCPMC10208940
OpenAlexW4376875378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.