Evidence map›Paper›PMID 39233479›Full record

ArticleThoracic cancer2024

Circulation of rare events in the liquid biopsy for early detection of lung mass lesions.

Karen Resnick, Anya Shah, Jeremy Mason, Peter Kuhn, Jorge Nieva, Stephanie N Shishido

Abstract read
In one paragraph

Article in Thoracic cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Karen ResnickNorris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Anya ShahConvergent Science Institute for Cancer, Michelson Center, University of Southern California, Los Angeles, California, USA.
Jeremy MasonNorris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Peter KuhnNorris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID 0000-0003-2629-4505
Jorge NievaNorris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Stephanie N ShishidoConvergent Science Institute for Cancer, Michelson Center, University of Southern California, Los Angeles, California, USA.

Funding

USC/NORRIS COMPREHENSIVE CANCER CENTER (CORE) SUPPORTP30CA014089 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Fumito Ito · 1985 to 2026
$181.4M
Hart Family Research FundMing Hsieh Institute for Research of Engineering-MedicineNCI NIH HHS 5P30CA014089-40NCI NIH HHS P30 CA014089USC Michelson Center Convergent Science Institute in CancerUSC Provost Research FellowshipVassiliadis Research Fund
6 · The paper itself

Abstract

backgroundLung cancer screening with low-dose computed tomography (CT) scans (LDCT) has reduced mortality for patients with high-risk smoking histories, but it has significant limitations: LDCT screening implementation remains low, high rates of false-positive scans, and current guidelines exclude those without smoking histories. We sought to explore the utility of liquid biopsy (LBx) in early cancer screening and diagnosis of lung cancer.

methodsUsing the high-definition single-cell assay workflow, we analyzed 99 peripheral blood samples from three cohorts: normal donors (NDs) with no known pathology (n = 50), screening CT patients (n = 25) with Lung-RADS score of 1-2, and biopsy (BX) patients (n = 24) with abnormal CT scans requiring tissue biopsy.

resultsFor CT and BX patients, demographic information was roughly equivalent; however, average pack-years smoked differed. A total of 14 (58%) BX patients were diagnosed with primary lung cancer (BX+). The comparison of the rare event enumerations among the cohorts revealed a greater incidence of total events, rare cells, and oncosomes, as well as specific cellular phenotypes in the CT and BX cohorts compared with the ND cohort. LBx analytes were also significantly elevated in the BX compared with the CT samples, but there was no difference between BX+ and BX- samples.

conclusionsThe data support the utility of the LBx in distinguishing patients with an alveolar lesion from those without, providing a potential avenue for prescreening before LDCT.

Indexed as

Early Detection of CancerLung NeoplasmsAgedFemaleHumansLiquid BiopsyMaleMiddle AgedTomography, X-Ray Computedliquid biopsylung cancer screening

Identifiers

PMID39233479
PMCPMC11471425

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Registered trials

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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.