Evidence map›Paper›PMID 37108122›Full record

ArticleInternational journal of molecular sciences2023

Surveillance of cfDNA Hot Spot Mutations in NSCLC Patients during Disease Progression.

Agne Sestokaite, Vaida Gedvilaite, Saulius Cicenas, Rasa Sabaliauskaite, Sonata Jarmalaite

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Observational
  5. 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

5 authors at 2 institutions in 1 country.

Agne SestokaiteNational Cancer Institute, Santariskiu 1, 08406 Vilnius, Lithuania.ORCID 0000-0002-6574-5930
Vaida GedvilaiteNational Cancer Institute, Santariskiu 1, 08406 Vilnius, Lithuania.
Saulius CicenasNational Cancer Institute, Santariskiu 1, 08406 Vilnius, Lithuania.
Rasa SabaliauskaiteNational Cancer Institute, Santariskiu 1, 08406 Vilnius, Lithuania.ORCID 0000-0002-3465-3558
Sonata JarmalaiteNational Cancer Institute, Santariskiu 1, 08406 Vilnius, Lithuania.
National Cancer Institute · LTVilnius University · LT

Funding

This research was funded by by National Cancer Institute Research Fund (Santariskiu 1, Vilnius 08406, Lithuania) N/A
6 · The paper itself

Abstract

Non-small cell cancer (NSCLC) has been identified with a great variation of mutations that can be surveyed during disease progression. The aim of the study was to identify and monitor lung cancer-specific mutations incidence in cell-free DNA as well as overall plasma cell-free DNA load by means of targeted next-generation sequencing. Sequencing libraries were prepared from cell-free DNA (cfDNA) isolated from 72 plasma samples of 41 patients using the Oncomine Lung cfDNA panel covering hot spot regions of 11 genes. Sequencing was performed with the Ion Torrent™ Ion S5™ system. Four genes were detected with highest mutation incidence:

Indexed as

Carcinoma, Non-Small-Cell LungCell-Free Nucleic AcidsLung NeoplasmsBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesDisease ProgressionHumansMutationProto-Oncogene Proteins p21(ras)Biomarkers, TumorCell-Free Nucleic AcidsClass I Phosphatidylinositol 3-KinasesProto-Oncogene Proteins p21(ras)cell-free DNA (cfDNA) mutation loadKRASliquid biopsynon-small cell lung cancer (NSCLC)TP53

Identifiers

PMID37108122
PMCPMC10138687
OpenAlexW4363650990

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.