Evidence map›Paper›PMID 23277327›Full record

ArticleMolecular biotechnology2013

Molecular profiling of thin-prep FNA samples in assisting clinical management of non-small-cell lung cancer.

Daniela Petriella, Domenico Galetta, Vincenza Rubini, Eufemia Savino, Angelo Paradiso, Giovanni Simone, Stefania Tommasi

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular biotechnology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. miRNA profiling in serum and tissue samples to assess noninvasive biomarkers for NSCLC clinical outcome.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article
  7. Review
  8. Article
  9. MicroRNAs as lung cancer biomarkers.World journal of clinical oncology · 2014
    Review
  10. MicroRNAs in lung cancer.World journal of methodology · 2014
    Review
  11. 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

7 authors at 1 institution in 1 country.

Daniela PetriellaNational Cancer Research Centre, Istituto Tumori "Giovanni Paolo II", v. Orazio Flacco 65, 70124 Bari, Italy.
Domenico Galetta
Vincenza Rubini
Eufemia Savino
Angelo Paradiso
Giovanni Simone
Stefania Tommasi
Istituto Tumori Bari · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The discovery of new target treatments for NSCLC has led to a search for new genetic and epigenetic markers able to selectively predict response to these new drugs. Somatic mutations in EGFR and KRAS genes are routinely analyzed to predict response to tyrosine kinase inhibitors (TKIs), used in the treatment of NSCLC patients, whose efficacy depend on the presence or the absence of specific mutations. MicroRNA (miRNA) expression evaluation has been recently analyzed because of the involvement of these molecules in lung cancer pathogenesis and in drug resistance. Only 30 % of NSCLC patients present a resectable stage at time of diagnosis so tissue samples cannot be the only starting material for genetic and epigenetic analysis. Therefore, the possibility to use cytological sampling already used for diagnosis also for molecular testing is emerging. The aim of this study was to evaluate for the first time in lung cancer the use of liquid-based cytology both for EGFR and KRAS mutational testing and for the expression trend of some miRNAs involved in lung cancer pathogenesis: miR-21, miR-155, miR-7, and let7a. We enrolled 20 fine-needle aspirate (FNA) samples diagnosed as NSCLC, 10 FNAs without neoplastic cells, and tissue samples coming from 5 of the 20 patients who underwent surgery after FNA NSCLC diagnosis. All Thin-Prep processed FNA samples were evaluable for DNA and RNA analysis and results were compared with those of the small group of patients whose matched tumor histology was available. The mutational status of the EGFR and KRAS genes and the expression profile of the selected miRNA showed comparable results between FNA samples and histological tissues. Our results underline that cytological samples could give the same genetic information as that obtained from histological specimens and so could be collected to create a nucleic acids bank.

Indexed as

Biopsy, Fine-NeedleCarcinoma, Non-Small-Cell LungChi-Square DistributionHistocytochemistryHumansLung NeoplasmsMicroRNAsRNA, MessengerMicroRNAsRNA, Messenger

Identifiers

PMID23277327
OpenAlexW2015963452

What OpenQuestion holds

Textmetadata
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.