Evidence map›Paper›PMID 37628603›Full record

ArticleGenes2023

Efficient Lung Cancer Molecular Diagnostics by Combining Next Generation Sequencing with Reflex Idylla Genefusion Assay Testing.

Dingani Nkosi, Giby V George, Huijie Liu, Meghan Buldo, Moises J Velez, Zoltán N Oltvai

Open access · goldAbstract read
In one paragraph

Article in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

6 authors at 1 institution in 1 country.

Dingani NkosiDepartment of Pathology and Laboratory Medicine, School of Medicine & Dentistry, University of Rochester, Rochester, NY 14642, USA.ORCID 0000-0002-3946-3016
Giby V GeorgeDepartment of Pathology and Laboratory Medicine, School of Medicine & Dentistry, University of Rochester, Rochester, NY 14642, USA.
Huijie LiuDepartment of Pathology and Laboratory Medicine, School of Medicine & Dentistry, University of Rochester, Rochester, NY 14642, USA.
Meghan BuldoDepartment of Pathology and Laboratory Medicine, School of Medicine & Dentistry, University of Rochester, Rochester, NY 14642, USA.
Moises J VelezDepartment of Pathology and Laboratory Medicine, School of Medicine & Dentistry, University of Rochester, Rochester, NY 14642, USA.
Zoltán N OltvaiDepartment of Pathology and Laboratory Medicine, School of Medicine & Dentistry, University of Rochester, Rochester, NY 14642, USA.ORCID 0000-0001-7997-397X
University of Rochester · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular diagnostics for lung cancer is a well-established standard of care, but how to use the available diagnostic tools for optimal and cost-effective patient care remains unresolved. Here, we show that DNA-only, small gene next-generation sequencing (sNGS) panels (<50 genes) combined with ultra-rapid reflex testing for common fusion transcripts using the Idylla Genefusion assay provide a cost-effective and sufficiently comprehensive testing modality for the majority of lung cancer cases. We also demonstrate the need for additional reflex testing capability on larger DNA and fusion panels for a small subset of lung cancers bearing rare single-nucleotide variants, indels and fusion transcripts and secondary, post-treatment resistance mutations. A similar testing workflow could be adopted for other solid tumor types for which extensive gene/fusion variant profiles are available both in the treatment-naïve and post-therapy settings.

Indexed as

High-Throughput Nucleotide SequencingLung NeoplasmsBiological AssayHumansPathology, MolecularReflexIdylla platformlung cancermolecular diagnosticsnext-generation sequencing

Identifiers

PMID37628603
PMCPMC10454377
OpenAlexW4385342042

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.