Evidence map›Paper›PMID 42439705›Full record

ArticleCells2026

Urinary Profiles of Exosomal LINE-1 mRNA and Associated miRNAs in Non-Small-Cell Lung Cancer.

Abeer A I Hassanin, Kenneth S Ramos

Abstract read
In one paragraph

Article in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Abeer A I HassaninCenter for Genomic and Precision Medicine, Texas A&M Institute of Biosciences and Technology, Texas Medical Center, Houston, TX 77030, USA.ORCID 0000-0002-7024-2721
Kenneth S RamosCenter for Genomic and Precision Medicine, Texas A&M Institute of Biosciences and Technology, Texas Medical Center, Houston, TX 77030, USA.ORCID 0000-0002-0692-4066

Funding

Functional Genomics of LINE-1 RetrotranspositionR01ES034542 · NIEHS · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI Kenneth S. Ramos · 2022 to 2026
$3.2M
a Governor's University Research Initiative N/ACancer Prevention and Research Institute of Texas RP230204NIEHS NIH HHS R01 ES034542NIH HHS 1R01ES034542-34
6 · The paper itself

Abstract

Lung cancer remains the leading cause of cancer-related mortality worldwide in both males and females. Despite recent advances in precision-targeted therapeutics, mortality rates remain high, largely due to delayed diagnoses when curative interventions are no longer feasible. Recent studies from our group demonstrated that the LINE-1 mRNA and associated miRNA cargo of plasma exosomes can be used as sensitive and specific diagnostic and prognostic biomarkers of non-small-cell lung cancer (NSCLC). Because exosomes from various cancer types can be detected in urine, we extended our investigation to examine these analytes in urine exosomes from NSCLC patients. LINE-1 ORF1 and ORF2 mRNA levels, along with miR-21-5p, miR-126-3p, miR-210-3p, miR-221-3p, Let-7b-5p, miR-146a-5p, miR-222-3p, miR-9-5p, and miR-1277-5p, were higher in urine exosomes from NSCLC patients compared to healthy controls. The cargo of urine-derived exosomes often mirrored that of plasma exosomes and correlated with several clinicopathologic characteristics. The strong predictive performance of urine exosomal RNAs distinguishing NSCLC patients from controls suggests these measurements may serve as a complementary and readily accessible source for noninvasive assessment of patients with NSCLC.

Indexed as

Carcinoma, Non-Small-Cell LungExosomesLong Interspersed Nucleotide ElementsLung NeoplasmsMicroRNAsRNA, MessengerAgedBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedBiomarkers, TumorMicroRNAsRNA, Messengerdiagnostic performanceLINE-1miRNAsNSCLCurine exosomes

Identifiers

PMID42439705
PMCPMC13360329

What Socratic 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 Socratic graph.