Evidence map›Paper›PMID 35417204›Full record

ArticleJCO precision oncology2022

Circulating Tumor-Macrophage Fusion Cells and Circulating Tumor Cells Complement Non-Small-Cell Lung Cancer Screening in Patients With Suspicious Lung-RADS 4 Nodules.

Yariswamy Manjunath, Kanve Nagaraj Suvilesh, Jonathan B Mitchem, Diego M Avella Patino, Eric T Kimchi, Kevin F Staveley-O'Carroll, Klaus Pantel, Huang Yi, Guangfu Li, Peter K Harris and 2 more

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in JCO precision oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Value of circulating tumor cell assisting low-dose computed tomography in screening pulmonary nodules based on existing liquid biopsy techniques: a systematic review with meta-analysis and trial sequential analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024
    Pooled it
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  3. Revisiting nature of stage III non-small cell lung cancer: Anatomically defined, biologically systemic.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026
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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

12 authors at 4 institutions in 2 countries.

Yariswamy ManjunathDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.
Kanve Nagaraj SuvileshDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.ORCID 0000-0002-8054-7027
Jonathan B MitchemDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.
Diego M Avella PatinoDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.
Eric T KimchiDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.ORCID 0000-0002-5046-1142
Kevin F Staveley-O'CarrollDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.
Klaus PantelInstitute for Tumor Biology, University of Hamburg, Hamburg, Germany.
Huang YiDepartments of Radiation Oncology, Genetics, and Computer Science and Engineering, Washington University School of Medicine, St Louis, MO.
Guangfu LiDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.
Peter K HarrisSiteman Cancer Center, Washington University School of Medicine, St Louis, MO.
Aadel A ChaudhuriSiteman Cancer Center, Washington University School of Medicine, St Louis, MO.ORCID 0000-0003-3115-3061
Jussuf T KaifiDepartment of Surgery, Ellis Fischel Cancer Center, University of Missouri-Columbia, Columbia, MO.ORCID 0000-0003-3425-2356
Washington University in St. Louis · USHarry S. Truman Memorial Veterans' Hospital · USUniversität Hamburg · DEUniversity of Missouri · US

Funding

Optimizing anti-tumor immunity for maximal therapeutic efficacy in Colorectal CancerIK2BX004346 · VA · LOUIS STOKES CLEVELAND VA MEDICAL CENTER · PI MITCHEM, JONATHAN B. · 2019 to 2024
–
BLRD VA IK2 BX004346
6 · The paper itself

Abstract

purposeLow-dose computed tomography (LDCT) screening of high-risk patients decreases lung cancer-related mortality. However, high false-positive rates associated with LDCT result in unnecessary interventions. To distinguish non-small-cell lung cancer (NSCLC) from benign nodules, in the present study, we integrated cellular liquid biomarkers in patients with suspicious lung nodules (lung cancer screening reporting and data system [Lung-RADS] 4).

methodsProspectively, 7.5 mL of blood was collected from 221 individuals (training set: 90 nonscreened NSCLC patients, 74 high-risk screening patients with no/benign nodules [Lung-RADS 1-3], and 20 never smokers; validation set: 37 patients with suspicious nodules [Lung-RADS 4]). Circulating tumor cells (CTCs), CTC clusters, and tumor-macrophage fusion (TMF) cells were identified by blinded analyses. Screening patients underwent a median of two LDCTs (range, 1-4) with a median surveillance time of 30 (range, 11-50) months.

resultsIn the validation set of 37 Lung-RADS 4 patients, all circulating cellular biomarker counts (

conclusionCellular liquid biomarkers have a potential to complement LDCT interpretation of suspicious Lung-RADS 4 nodules to distinguish NSCLC from benign lung nodules. A future prospective, large-scale, multicenter clinical trial should validate the role of cellular liquid biomarkers in improving diagnostic accuracy in high-risk patients with Lung-RADS 4 nodules.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsNeoplastic Cells, CirculatingPrecancerous ConditionsBiomarkersEarly Detection of CancerHumansLungMacrophagesTomography, X-Ray ComputedBiomarkers

Identifiers

PMID35417204
PMCPMC9012602
OpenAlexW4223432124

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.