Evidence map›Paper›PMID 25416410›Full record

ArticleCancer prevention research (Philadelphia, Pa.)2015

Urinary protein biomarkers in the early detection of lung cancer.

Brian M Nolen, Aleksey Lomakin, Adele Marrangoni, Liudmila Velikokhatnaya, Denise Prosser, Anna E Lokshin

Abstract read
In one paragraph

Article in Cancer prevention research (Philadelphia, Pa.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
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  9. Urinary Biomarkers for Early Diagnosis of Lung Cancer.Journal of clinical medicine · 2021
    Article
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  11. Review
  12. Article
  13. Review
  14. Article
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  16. Article
  17. Fucosylation genes as circulating biomarkers for lung cancer.Journal of cancer research and clinical oncology · 2018
    Article
  18. Article
  19. Article
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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

6 authors.

Brian M NolenUniversity of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, Pennsylvania. Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. lokshina@upmc.edu.
Aleksey LomakinDepartment of Physics, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Adele MarrangoniUniversity of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, Pennsylvania.
Liudmila VelikokhatnayaUniversity of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, Pennsylvania.
Denise ProsserUniversity of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, Pennsylvania.
Anna E LokshinUniversity of Pittsburgh Cancer Institute, Hillman Cancer Center, Pittsburgh, Pennsylvania. Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. Department of Pathology, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania. Department of Ob/Gyn, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.

Funding

VECTOR CORE FACILITYP30CA047904 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Jessie Nedrow · 1988 to 2026
$158.0M
Urine and Serum Biomarkers for Screening and Diagnosis of Ovarian CancerR01CA108990 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2005 to 2014
$5.3M
Validation of pancreatic cancer biomarkers in large prospective cohortsR01CA196286 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2015 to 2017
$1.4M
Development of a multimarker urine-based test for early diagnosis and screening oR21CA143736 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOKSHIN, ANNA E. · 2010 to 2011
$357k
NCI NIH HHS P30 CA047904NCI NIH HHS P30CA047904NCI NIH HHS R01 CA108990NCI NIH HHS R01CA108990NCI NIH HHS R01 CA196286NCI NIH HHS R21 CA143736NCI NIH HHS R21CA143736
6 · The paper itself

Abstract

The early detection of lung cancer has the potential to greatly impact disease burden through the timely identification and treatment of affected individuals at a manageable stage of development. The insufficient specificity demonstrated by currently used screening and diagnostic techniques has led to intense investigation into biomarkers as diagnostic tools. Urine may represent a noninvasive alternative matrix for diagnostic biomarker development. We performed an analysis of 242 biomarkers in urines obtained from 83 patients with non-small cell lung carcinomas (NSCLC), 74 patients diagnosed with benign pulmonary conditions, and 77 healthy donors. A large number of significant alterations were observed between the NSCLC and control groups. A multivariate analysis identified a three-biomarker panel consisting of IGFBP-1, sIL-1Ra, CEACAM-1, which discriminated NSCLC from healthy controls with a sensitivity/specificity of 84/95 in an initial training set and 72/100 in an independent validation set. This panel performed well among multiple subtypes of NSCLC and early-stage disease but demonstrated only limited efficacy for the discrimination of NSCLC from benign controls and limited specificity for patients with several other cancers and tuberculosis. These findings demonstrate that urine biomarkers may provide screening and diagnostic properties which exceed those reported for serum biomarkers and approach a level necessary for further clinical development.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungEarly Detection of CancerHumansLung NeoplasmsSensitivity and SpecificityBiomarkers, Tumor

Identifiers

PMID25416410
PMCPMC4315760

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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.