Evidence map›Paper›PMID 40448187›Full record

ArticleJournal of experimental & clinical cancer research : CR2025

Upfront blood microRNA test in LDCT-reluctant individuals: insights from the biomild trial.

Gabriella Sozzi, Federica Sabia, Luigi Rolli, Miriam Segale, Paola Suatoni, Anna Zanghi, Margherita Ruggirello, Alfonso Marchianò, Mattia Boeri, Ugo Pastorino

Abstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Gabriella Sozzi *Unit of Epigenomics & Biomarkers of Solid Tumors, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Federica Sabia *Unit of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Luigi RolliUnit of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Miriam SegaleUnit of Epigenomics & Biomarkers of Solid Tumors, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Paola SuatoniUnit of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Anna ZanghiUnit of Epigenomics & Biomarkers of Solid Tumors, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Margherita RuggirelloDepartment of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Alfonso MarchianòDepartment of Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.
Mattia BoeriUnit of Epigenomics & Biomarkers of Solid Tumors, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy. mattia.boeri@istitutotumori.mi.it.
Ugo PastorinoUnit of Thoracic Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Via Venezian 1, 20133, Milan, Italy.

Funding

Identifying non-coding RNAs for early detection and prevention of lung cancerU01CA166905 · NCI · OHIO STATE UNIVERSITY · PI CROCE, CARLO M, PASS, HARVEY IRA · 2013 to 2017
$4.5M
Fondazione AIRC per la ricerca sul cancro ETS IG12162, IG18812 and IG23244Horizon 2020 n.848294Ministero della Salute RF-2021-12373449NCI NIH HHS EDRN UO1-CA166905NCI NIH HHS U01 CA166905
6 · The paper itself

Abstract

backgroundLow-dose computed tomography (LDCT) lung cancer screening can reduce mortality in high-risk individuals, but many individuals with a heavy smoking history may be reluctant to undergo radiologic examinations. A non-invasive blood test might help overcome this barrier. The BioMILD trial evaluated the combination of a plasma microRNA signature classifier (MSC) and LDCT for personalized lung cancer screening in 4,119 individuals who smoke or used to smoke. Based on BioMILD results, we aim to conduct a projection analysis to estimate the number of early lung cancers that could be detected if MSC were used as an initial screening tool for individuals reluctant to undergo LDCT. This model explores the potential of a biomarker-driven approach to address screening hesitation. MAIN BODY: The analysis focuses on 3,139 volunteers meeting NLST criteria. At baseline, 24.9% tested MSC-positive. Over two years, 63 lung cancer cases were detected, with a significantly higher incidence among MSC-positive participants (4.1% vs. 1.1%, p < 0.001). A biomarker-driven approach, where only MSC-positive individuals undergo annual LDCT, was compared to standard LDCT screening for all participants. This strategy could identify 58.7% of lung cancers detected via standard screening, including 56.5% of early-stage cases. Raw cost analysis estimated a per-case lung cancer detection cost of ~€14,000 for the biomarker-driven strategy versus ~€12,000 for standard screening.

conclusionUpfront blood MSC test showed a reasonable sensitivity for lung cancer detection, including in early-stage disease, with affordable costs. Such a non-invasive blood test strategy might contribute to improve lung cancer screening endorsement in the high-risk population.

Indexed as

Biomarkers, TumorLung NeoplasmsMicroRNAsTomography, X-Ray ComputedAgedEarly Detection of CancerFemaleHumansMaleMiddle AgedBiomarkers, TumorMicroRNAsLung cancerMicroRNAScreening

Identifiers

PMID40448187
PMCPMC12125938

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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.