Evidence map›Paper›PMID 39430322›Full record

ArticleTranslational lung cancer research2024

Prognostic value of circulating proteins at diagnosis among patients with lung cancer: a comprehensive analysis by smoking status.

Xiaoshuang Feng, Hilary A Robbins, Anush Mukeriya, Lenka Foretova, Ivana Holcatova, Vladimir Janout, Jolanta Lissowska, Miodrag Ognjanovic, Beata Swiatkowska, David Zaridze and 3 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 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

13 authors.

Xiaoshuang FengGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Hilary A RobbinsGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Anush MukeriyaDepartment of Clinical Epidemiology, N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia.
Lenka ForetovaDepartment of Cancer Epidemiology & Genetics, Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Ivana HolcatovaDepartment of Public Health and Preventive Medicine, Second Faculty of Medicine, Charles University, Prague, Czech Republic.
Vladimir JanoutFaculty of Medicine, Palacky University, Olomouc, Czech Republic.
Jolanta LissowskaDepartment of Cancer Epidemiology and Prevention, M. Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
Miodrag OgnjanovicInternational Organization for Cancer Prevention and Research, Belgrade, Serbia.
Beata SwiatkowskaDepartment of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland.
David ZaridzeDepartment of Clinical Epidemiology, N.N. Blokhin National Medical Research Centre of Oncology, Moscow, Russia.
Paul BrennanGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Mattias JohanssonGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.
Mahdi SheikhGenomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), Lyon, France.

Funding

The Lung EArly Proteins project: A LEAP toward implementing biomarkers in lung cancer screeningR01CA262164 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI ROBBINS, HILARY A. · 2022 to 2025
$2.0M
NCI NIH HHS R01 CA262164World Health Organization 001
6 · The paper itself

Abstract

Background: Improved prediction of prognosis among lung cancer patients could facilitate better clinical management. We aimed to study the prognostic significance of circulating proteins at the time of lung cancer diagnosis, among patients with and without smoking history. Methods: We measured 91 proteins using the Olink Immune-Oncology panel in plasma samples that were collected at diagnosis from 244 never smoking and 742 ever smoking patients with stage I-IIIA non-small cell lung cancer (NSCLC). Patients were recruited from nine centres in Russian Federation, Poland, Serbia, Czechia, and Romania, between 2007-2016 and were prospectively followed through 2020. We used multivariable Survey-weighted Cox models to assess the relationship between overall survival and levels of proteins by adjusting for smoking, age at diagnosis, sex, education, alcohol intake, histology, and stage. Results: The 5-year survival rate was higher among never than ever smoking patients (63.1% Conclusions: We found limited evidence of a potential for circulating immune- and cancer-related protein markers in lung cancer prognosis. Whereas some specific proteins appear to be uniquely associated with lung cancer survival in never smokers.

Indexed as

Lung cancerprognosisproteomicssmoking

Identifiers

PMID39430322
PMCPMC11484726

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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.