Evidence map›Paper›PMID 27344275›Full record

ArticleLung cancer (Amsterdam, Netherlands)2017

Integration of multiple "OMIC" biomarkers: A precision medicine strategy for lung cancer.

Ana I Robles, Curtis C Harris

Abstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Omics and Multi-Omics in IBD: No Integration, No Breakthroughs.International journal of molecular sciences · 2023
    Review
  9. AberrantBiomedicines · 2023
    Article
  10. Biomarkers in Lung Cancer Screening: a Narrative Review.Current challenges in thoracic surgery · 2023
    Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Urinary Biomarkers for Early Diagnosis of Lung Cancer.Journal of clinical medicine · 2021
    Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. N-Glycan profiling of lung adenocarcinoma in patients at different stages of disease.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2020
    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

2 authors.

Ana I RoblesLaboratory of Human Carcinogenesis, National Cancer Institute, NIH, Bethesda, MD 20892, USA. Electronic address: Ana_Robles@nih.gov.
Curtis C HarrisLaboratory of Human Carcinogenesis, National Cancer Institute, NIH, Bethesda, MD 20892, USA.

Funding

Precision Medicine of CancerZIABC011492 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2013 to 2025
$23.2M
Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

More than half of all new lung cancer diagnoses are made in patients with locally advanced or metastatic disease, at which point therapeutic options are scarce. It is anticipated, however, that the widespread use of Low-Dose Computed Tomography (LDCT) screening, will lead to a greater proportion of lung cancers being diagnosed at an early, operable, stage. Still, the overall rate of recurrence for surgically treated Stage I lung cancer patients is up to 30% within 5 years of diagnosis. Thus, the identification and clinical application of biomarkers of early stage lung cancer are a pressing medical need. The integrative analysis of "omic," clinical and epidemiological data for single patients is a core principle of precision medicine. Through rigorous bioinformatics and statistical analyses we have identified biomarkers of early-stage lung cancer based on DNA methylation, expression of mRNA and miRNA, inflammatory cytokines, and urinary metabolites. Beyond a more comprehensive understanding of the molecular taxonomy of lung cancer, these biomarkers can have very practical implications in the context of unmet clinical needs of early stage lung cancer patients: First, current guidelines for LDCT screening broadly include individuals based on age and history of heavy smoking. Tumor-derived circulating biomarkers in the blood and urine associated with lung cancer risk could narrow and prioritize individuals for LDCT screening. Second, a high number of nodules are identified by LDCT, of which fewer than 5% are finally diagnosed as lung cancer. Biomarkers may help discriminate malignant nodules from benign or indolent lesions. Third, the expected rise in the numbers of lung cancer patients diagnosed at an early stage will necessitate new treatment options. Circulating, urinary and tissue-based biomarkers that molecularly categorize Stage I patients after tumor resection can help identify high-risk patients who may benefit from adjuvant chemotherapy or innovative immunotherapy regimens.

Indexed as

Precision MedicineBiomarkers, TumorCarcinoma, Non-Small-Cell LungClinical Trials as TopicCytokinesEarly Detection of CancerGene ExpressionHumansLung NeoplasmsMass ScreeningMetabolomicsMethylationMicroRNAsNeoplasm Recurrence, LocalNeoplasm StagingSmokingBiomarkers, TumorCytokinesMicroRNAsCytokineGene expressionLow-dose computed tomographyMetabolomicsMethylationMicroRNA

Identifiers

PMID27344275
PMCPMC5156586

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Registered trials

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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.