Evidence map›Paper›PMID 39031255›Full record

ArticleJournal of cancer research and clinical oncology2024

Promising microRNAs in pre-diagnostic serum associated with lung cancer up to eight years before diagnosis: a HUNT study.

Ioannis Fotopoulos, Olav Toai Duc Nguyen, Therese Haugdahl Nøst, Maria Markaki, Vincenzo Lagani, Robin Mjelle, Torkjel Manning Sandanger, Pål Sætrom, Ioannis Tsamardinos, Oluf Dimitri Røe

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 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. Review
  3. Recommendations for Validating Omics Prediction Models: Insights from a Lung Cancer RNA Biomarker Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    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

10 authors.

Ioannis Fotopoulos *Department of Computer Science, University of Crete, 700 13, Heraklion, Crete, Greece.
Olav Toai Duc Nguyen *Department of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Prinsesse Kristinas Gate 1, 7030, Trondheim, Norway.
Therese Haugdahl NøstDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, P.O. Box 6050 Langnes, 9037, Tromsø, Norway.
Maria MarkakiInstitute of Applied and Computational Mathematics, FORTH, 700 13, Heraklion, Crete, Greece.
Vincenzo LaganiInstitute of Chemical Biology, Ilia State University, 3/5, Kakuca Cholokashvili Ave, Tbilisi, Georgia.
Robin MjelleDepartment of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Prinsesse Kristinas Gate 1, 7030, Trondheim, Norway.
Torkjel Manning SandangerDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, P.O. Box 6050 Langnes, 9037, Tromsø, Norway.
Pål SætromDepartment of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Prinsesse Kristinas Gate 1, 7030, Trondheim, Norway.
Ioannis TsamardinosDepartment of Computer Science, University of Crete, 700 13, Heraklion, Crete, Greece.
Oluf Dimitri RøeDepartment of Clinical and Molecular Medicine, NTNU-Norwegian University of Science and Technology, Prinsesse Kristinas Gate 1, 7030, Trondheim, Norway. oluf.roe@ntnu.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionBlood biomarkers for early detection of lung cancer (LC) are in demand. There are few studies of the full microRNome in serum of asymptomatic subjects that later develop LC. Here we searched for novel microRNA biomarkers in blood from non-cancer, ever-smokers populations up to eight years before diagnosis.

methodsSerum samples from 98,737 subjects from two prospective population studies, HUNT2 and HUNT3, were considered initially. Inclusion criteria for cases were: ever-smokers; no known cancer at study entrance; 0-8 years from blood sampling to LC diagnosis. Each future LC case had one control matched to sex, age at study entrance, pack-years, smoking cessation time, and similar HUNT Lung Cancer Model risk score. A total of 240 and 72 serum samples were included in the discovery (HUNT2) and validation (HUNT3) datasets, respectively, and analysed by next-generation sequencing. The validated serum microRNAs were also tested in two pre-diagnostic plasma datasets from the prospective population studies NOWAC (n = 266) and NSHDS (n = 258). A new model adding clinical variables was also developed and validated.

resultsFifteen unique microRNAs were discovered and validated in the pre-diagnostic serum datasets when all cases were contrasted against all controls, all with AUC > 0.60. In combination as a 15-microRNAs signature, the AUC reached 0.708 (discovery) and 0.703 (validation). A non-small cell lung cancer signature of six microRNAs showed AUC 0.777 (discovery) and 0.806 (validation). Combined with clinical variables of the HUNT Lung Cancer Model (age, gender, pack-years, daily cough parts of the year, hours of indoor smoke exposure, quit time in years, number of cigarettes daily, body mass index (BMI)) the AUC reached 0.790 (discovery) and 0.833 (validation). These results could not be validated in the plasma samples.

conclusionThere were a few significantly differential expressed microRNAs in serum up to eight years before diagnosis. These promising microRNAs alone, in concert, or combined with clinical variables have the potential to serve as early diagnostic LC biomarkers. Plasma is not suitable for this analysis. Further validation in larger prospective serum datasets is needed.

Indexed as

Biomarkers, TumorEarly Detection of CancerLung NeoplasmsMicroRNAsAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedProspective StudiesSmokingBiomarkers, TumorMicroRNAsMicroRNA sequencingRisk model for lung cancerSerum early detection

Identifiers

PMID39031255
PMCPMC11271336

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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.