Evidence map›Paper›PMID 35971678›Full record

ArticleCancer research2022

Expanding the Full Potential of Liquid Biopsies for Lung Cancer Patients.

Christian Rolfo, Umberto Malapelle, Alessandro Russo

Open access · bronzeAbstract readEditorialComment
PubMed Publisher
In one paragraph

Article in Cancer research, 2022. 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
0.3field-weighted citation impact, top 50% 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, 4 citations in OpenAlex.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 3 institutions in 2 countries.

Christian RolfoCenter for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, New York.ORCID 0000-0002-5109-0267
Umberto MalapelleDepartment of Public Health, University of Naples Federico II, Naples, Italy.ORCID 0000-0003-3211-9957
Alessandro RussoDepartment of Onco-Hematology, Papardo Hospital, Messina, Italy.ORCID 0000-0002-3365-1972
Azienda Ospedaliera Ospedali Riuniti Papardo Piemonte · ITFederico II University Hospital · ITTisch Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, there has been tremendous therapeutic progress for advanced lung cancer, leading to the identification of a multitude of therapeutic targets and significantly expanding the list of potential target genes to be tested. However, precision oncology requires knowledge of the exact biology of the tumor through sequencing of the cancer genome, which is hampered by limited tissue availability in thoracic malignancies. Liquid biopsy, namely plasma cell-free DNA (cfDNA) analysis, has expanded these opportunities and is now firmly established in the diagnostic algorithm of patients with lung cancer with metastatic disease. However, the full potential of this powerful tool has been largely underexplored. In this issue of Cancer Research, Nair and colleagues provide evidence of the clinical utility of bronchoalveolar lavage (BAL) cfDNA profiling through an ultra-deep next-generation sequencing approach. The study findings support further development of BAL cfDNA analysis for tumor genotyping, besides the current gold standard sources (tissue and plasma), as a complementary tool in patients undergoing diagnostic bronchoscopy for tumor diagnosis and/or rebiopsy, increasing the success rates of genomic analyses. In addition, BAL cfDNA profiling might represent an important diagnostic tool in early-stage lung cancer, outperforming plasma cfDNA in stage I-II and detecting field cancerization signs, potentially identifying tumors before their clinical appearance. Further studies should confirm the full potential of BAL cfDNA profiling in lung cancer and its place in the large family of liquid biopsies. See related article by Nair et al., p. 2838.

Indexed as

Cell-Free Nucleic AcidsLung NeoplasmsBronchoalveolar Lavage FluidGenomicsHumansLiquid BiopsyPrecision MedicineCell-Free Nucleic Acids

Identifiers

PMID35971678
OpenAlexW4292176404

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.