Evidence map›Paper›PMID 38837903›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2024

Urinary Metabolite Diagnostic and Prognostic Liquid Biopsy Biomarkers of Lung Cancer in Nonsmokers and Tobacco Smokers.

Bhavik Dalal, Takeshi Tada, Daxesh P Patel, Sharon R Pine, Mohammed Khan, Takahiro Oike, Yasuyuki Kanke, Amelia L Parker, Majda Haznadar, Leila Toulabi and 5 more

Abstract read
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
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

15 authors.

Bhavik Dalal *Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-9263-5016
Takeshi Tada *Laboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-0981-3329
Daxesh P PatelLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-9620-8660
Sharon R PineDivision of Medical Oncology, Department of Medicine, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado.ORCID 0000-0001-5318-0277
Mohammed KhanLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0009-0000-1202-9829
Takahiro OikeLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0003-1332-4306
Yasuyuki KankeLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-1691-7732
Amelia L ParkerLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-3142-8937
Majda HaznadarLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-9431-0784
Leila ToulabiLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0009-0006-7121-012X
Kristopher W KrauszLaboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0003-2910-7787
Ana I RoblesOffice of Cancer Clinical Proteomics Research, Division of Cancer Treatment and Diagnosis, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-5019-4374
Elise D BowmanLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-1168-5063
Frank J GonzalezLaboratory of Metabolism, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0002-7990-2140
Curtis C HarrisLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, Maryland.ORCID 0000-0001-5268-0181

Funding

Xenobiotic receptorsZIABC005562 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GONZALEZ, FRANK J · 2009 to 2025
$26.9M
Precision Medicine of CancerZIABC011492 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI HARRIS, CURTIS · 2013 to 2025
$23.2M
Discovery and therapeutic targeting of biological determinants of lung cancer health disparitiesR01CA239093 · NCI · UNIVERSITY OF COLORADO DENVER · PI PINE, SHARON R. · 2020 to 2025
$2.1M
Anschutz Medical Campus, University of Colorado (CU AMC) 5R01CA239093Center for Cancer Research (CCR) ZIABC011492Intramural NIH HHS ZIA BC011492NCI NIH HHS R01 CA239093
6 · The paper itself

Abstract

purposeNonsmokers account for 10% to 13% of all lung cancer cases in the United States. Etiology is attributed to multiple risk factors including exposure to secondhand smoking, asbestos, environmental pollution, and radon, but these exposures are not within the current eligibility criteria for early lung cancer screening by low-dose CT (LDCT). EXPERIMENTAL

designUrine samples were collected from two independent cohorts comprising 846 participants (exploratory cohort) and 505 participants (validation cohort). The cancer urinary biomarkers, creatine riboside (CR) and N-acetylneuraminic acid (NANA), were analyzed and quantified using liquid chromatography-mass spectrometry to determine if nonsmoker cases can be distinguished from sex and age-matched controls in comparison with tobacco smoker cases and controls, potentially leading to more precise eligibility criteria for LDCT screening.

resultsUrinary levels of CR and NANA were significantly higher and comparable in nonsmokers and tobacco smoker cases than population controls in both cohorts. Receiver operating characteristic analysis for combined CR and NANA levels in nonsmokers of the exploratory cohort resulted in better predictive performance with the AUC of 0.94, whereas the validation cohort nonsmokers had an AUC of 0.80. Kaplan-Meier survival curves showed that high levels of CR and NANA were associated with increased cancer-specific death in nonsmokers as well as tobacco smoker cases in both cohorts.

conclusionsMeasuring CR and NANA in urine liquid biopsies could identify nonsmokers at high risk for lung cancer as candidates for LDCT screening and warrant prospective studies of these biomarkers.

Indexed as

Biomarkers, TumorLung NeoplasmsNon-SmokersSmokersAgedCase-Control StudiesFemaleHumansLiquid BiopsyMaleMiddle AgedPrognosisROC CurveSmokingTobacco SmokingBiomarkers, Tumor

Identifiers

PMID38837903
PMCPMC11325153

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.