Evidence map›Paper›PMID 38893188›Full record

ArticleCancers2024

Validation of a Blood-Based Protein Biomarker Panel for a Risk Assessment of Lethal Lung Cancer in the Physicians' Health Study.

Lulu Song, Ehsan Irajizad, Andrew Rundle, Howard D Sesso, John Michael Gaziano, Jody V Vykoukal, Kim-Anh Do, Jennifer B Dennison, Edwin J Ostrin, Johannes F Fahrmann and 2 more

Abstract read
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Lulu SongDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Ehsan IrajizadDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Andrew RundleDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY 10032, USA.
Howard D SessoDivisions of Preventive Medicine and Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA.
John Michael GazianoDivisions of Preventive Medicine and Aging, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02215, USA.
Jody V VykoukalDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Kim-Anh DoDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0001-8710-7131
Jennifer B DennisonDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Edwin J OstrinDepartment of Pulmonary Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.ORCID 0000-0002-4538-6539
Johannes F FahrmannDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
Frederica PereraDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Samir HanashDepartment of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Funding

Clinical Validation Center for Lung Cancer Early DetectionU01CA271888 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI HANASH, SAMIR M · 2022 to 2025
$4.9M
Novel Protein Risk Markers for Lung CancerR21CA195110 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI PERERA, FREDERICA P · 2016 to 2017
$406k
NCI NIH HHS U01 CA271888NIH HHS 5R21CA195110-02, U01CA271888, U01CA194733, CA200468, CA 097193
6 · The paper itself

Abstract

This study aimed to assess a four-marker protein panel (4MP)'s performance, including the precursor form of surfactant protein B, cancer antigen 125, carcinoembryonic antigen, and cytokeratin-19, for predicting lung cancer in a cohort enriched with never- and ever-smokers. Blinded pre-diagnostic plasma samples collected within 2 years prior to a lung cancer diagnosis from 25 cases and 100 sex-, age-, and smoking-matched controls were obtained from the Physicians' Health Study (PHS). The 4MP yielded AUC performance estimates of 0.76 (95% CI: 0.61-0.92) and 0.69 (95% CI: 0.56-0.82) for predicting lung cancer within one year and within two years of diagnosis, respectively. When stratifying into ever-smokers and never-smokers, the 4MP had respective AUCs of 0.77 (95% CI: 0.63-0.92) and 0.72 (95% CI: 0.17-1.00) for a 1-year risk of lung cancer. The AUCs of the 4MP for predicting metastatic lung cancer within one year and two years of the blood draw were 0.95 (95% CI: 0.87-1.00) and 0.78 (95% CI: 0.62-0.94), respectively. Our findings indicate that a blood-based biomarker panel may be useful in identifying ever- and never-smokers at high risk of a diagnosis of lung cancer within one-to-two years.

Indexed as

biomarkerslung cancerphysicians’ health study

Identifiers

PMID38893188
PMCPMC11171146

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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.