Evidence map›Paper›PMID 40302376›Full record

ReviewCancer biomarkers : section A of Disease markers2025

Microbial biomarker development for detection and prognosis of early-stage non-small cell lung cancer.

Fares Darawshy, Jun-Chieh J Tsay, Leopoldo N Segal, Harvey Pass

Abstract readReview
In one paragraph

Review in Cancer biomarkers : section A of Disease markers, 2025. 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. Review
  2. Risk prediction of non-small cell lung cancer in patients with pulmonary nodules: a single-center cohort study based on six machine learning algorithms.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  3. 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

4 authors.

Fares DarawshyDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.ORCID 0000-0003-0177-908X
Jun-Chieh J TsayDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.
Leopoldo N SegalDivision of Pulmonary and Critical Care Medicine, New York University Grossman School of Medicine, NYU Langone Health, New York, NY, USA.ORCID 0000-0003-3559-9431
Harvey PassDepartment of Cardiothoracic Surgery, NYU School of Medicine, New York, USA.

Funding

Microbial and host biomarker development for detection and prognosis of early stage non-small cell lung cancerU2CCA271890 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Leopoldo Nicolas Segal · 2023 to 2026
$4.7M
Local microbiota signatures of pro-tumor immunity and checkpoint inhibition susceptibility in lung cancerR37CA244775 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Leopoldo Nicolas Segal · 2020 to 2026
$4.7M
BIOREPOSITORY OPTIMIZATION AND USE FOR ENDOTYPING CRITICALLY ILL SARS-COV-2 INFECTED PATIENTSR33GM147800 · NIGMS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI SEGAL, LEOPOLDO NICOLAS · 2024 to 2025
$1.5M
NCI NIH HHS R37 CA244775NCI NIH HHS U2C CA271890NIGMS NIH HHS R33 GM147800
6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) remains the most common cause for cancer-related mortality despite advances in treatment. Early detection is crucial for improving patient outcomes, yet current diagnostic and prognostic molecular biomarkers lack the sensitivity and specificity necessary to become clinically useful. Recent studies revealed that the lower airway microbiome play a role in NSCLC and that microbial signatures are associated with NSCLC development, progression, and prognosis, suggesting the potential for microbiome-based biomarkers for early diagnosis and risk stratification. Here we review recent advances in the role of the local and systemic microbiome in early-stage NSCLC. Primarily, several studies have identified specific microbial taxa associated with lung cancer suggesting novel insights into disease pathogenesis and progression. Integration of microbiome data with other 'omics' platforms, such as host transcriptomics and metabolomics, has the potential to enhance our understanding of microbial-host interactions and may provide more comprehensive biomarker signatures. While promising, challenges remain to the development of microbiome-based biomarkers such as those related to differences in samples utilized, sequencing methods, and data analysis. Here, we discuss such challenges as well as future directions for research needed to fulfil the promise of microbiome-based biomarkers for changing early detection and management strategies in NSCLC.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsMicrobiotaEarly Detection of CancerHumansNeoplasm StagingPrognosisBiomarkers, Tumorearly diagnosislung cancermicrobiomemultiomicsprognosis

Identifiers

PMID40302376
PMCPMC12288421

What OpenQuestion holds

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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.