Evidence map›Paper›PMID 39692940›Full record

ArticleDiscover oncology2024

Comparison of targeted next generation sequencing assays in non-small cell lung cancer patients.

Ieva Drejeriene, Jurate Gruode, Saulius Cicenas, Charalambos Loizides, Alexia Eliades, Achilleas Achilleos, Elena Kypri, Kyriakos Tsangaras, Marios Ioannides, George Koumbaris and 3 more

Abstract read
In one paragraph

Article in Discover oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Ieva DrejerieneFaculty of Medicine, Vilnius University, Vilnius, Lithuania. ieva.drejeriene@kulig.lt.
Jurate GruodeKlaipeda University Hospital, Klaipeda, Lithuania.
Saulius CicenasNational Cancer Institute, Vilnius, Lithuania.
Charalambos LoizidesMEDICOVER Genetics, Nicosia, Cyprus.
Alexia EliadesMEDICOVER Genetics, Nicosia, Cyprus. alexia.eliades@medicover.com.
Achilleas AchilleosMEDICOVER Genetics, Nicosia, Cyprus.
Elena KypriMEDICOVER Genetics, Nicosia, Cyprus.
Kyriakos TsangarasMEDICOVER Genetics, Nicosia, Cyprus.
Marios IoannidesMEDICOVER Genetics, Nicosia, Cyprus.
George KoumbarisMEDICOVER Genetics, Nicosia, Cyprus.
Diana StanciuteNational Cancer Institute, Vilnius, Lithuania.
Arnoldas KrasauskasFaculty of Medicine, Vilnius University, Vilnius, Lithuania.
Philippos C PatsalisMEDICOVER Genetics, Nicosia, Cyprus. philippos.patsalis@medicover.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is the most prevalent type of lung cancer the mutational spectrum of which has been extensively characterized. Treatment of patients with NSCLC based on their molecular profile is now part of the standard clinical care. The aim of this study was firstly to investigate two different NGS-based tumor profile genetic tests and secondly to assess the clinical actionability of the mutations and their association with survival and clinicopathological characteristics. Overall, 52 mutations were identified in 31 patients by either one or both assays. The most frequently mutated genes were TP53 (40.4%), KRAS (13.46%) and EGFR (9.62%). TP53 and KRAS mutations were associated with worst overall survival while KRAS was positively correlated with adenocarcinoma. The two methods showed a high concordance for the commonly covered genomic regions (97.14%). Ten mutations were identified in a genomic region exclusively covered by the MEDICOVER Genetics custom tumor profile assay. Likewise, one MET mutation was identified by the Ion Amliseq assay in a genomic region exclusively covered by Ion Amliseq. In conclusion both assays showed highly similar results in the commonly covered genomic areas, however, the MEDICOVER Genetics assay identified additional clinically actionable mutations that can be applied in clinical practice for personalized treatment decision making for patients with NSCLC.

Indexed as

clinical utilitymutational profilenext generation sequencingNSCLC

Identifiers

PMID39692940
PMCPMC11655926

What OpenQuestion holds

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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.