Evidence map›Paper›PMID 33718054›Full record

ReviewTranslational lung cancer research2021

Molecular biomarkers in early stage lung cancer.

María Rodríguez, Daniel Ajona, Luis M Seijo, Julián Sanz, Karmele Valencia, Jesús Corral, Miguel Mesa-Guzmán, Rubén Pío, Alfonso Calvo, María D Lozano and 2 more

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

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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

12 authors.

María RodríguezDepartment of Thoracic Surgery, Clínica Universidad de Navarra, Madrid, Spain.
Daniel AjonaProgram in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Luis M SeijoDepartment of Pulmonology, Clínica Universidad de Navarra, Madrid, Spain.
Julián SanzDepartment of Pathology, Clínica Universidad de Navarra, Madrid, Spain.
Karmele ValenciaProgram in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Jesús CorralDepartment of Oncology, Clínica Universidad de Navarra, Madrid, Spain.
Miguel Mesa-GuzmánDepartment of Thoracic Surgery, Clínica Universidad de Navarra, Pamplona, Spain.
Rubén PíoProgram in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
Alfonso CalvoProgram in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.
María D LozanoNavarra Institute for Health Research (IdISNA), Pamplona, Spain.
Javier J ZuluetaNavarra Institute for Health Research (IdISNA), Pamplona, Spain.
Luis M MontuengaProgram in Solid Tumors, Center for Applied Medical Research (CIMA), University of Navarra, Pamplona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low dose computed tomography (LDCT) screening, together with the recent advances in targeted and immunotherapies, have shown to improve non-small cell lung cancer (NSCLC) survival. Furthermore, screening has increased the number of early stage-detected tumors, allowing for surgical resection and multimodality treatments when needed. The need for improved sensitivity and specificity of NSCLC screening has led to increased interest in combining clinical and radiological data with molecular data. The development of biomarkers is poised to refine inclusion criteria for LDCT screening programs. Biomarkers may also be useful to better characterize the risk of indeterminate nodules found in the course of screening or to refine prognosis and help in the management of screening detected tumors. The clinical implications of these biomarkers are still being investigated and whether or not biomarkers will be included in further decision-making algorithms in the context of screening and early lung cancer management still needs to be determined. However, it seems clear that there is much room for improvement even in early stage lung cancer disease-free survival (DFS) rates; thus, biomarkers may be the key to refine risk-stratification and treatment of these patients. Clinicians' capacity to register, integrate, and analyze all the available data in both high risk individuals and early stage NSCLC patients will lead to a better understanding of the disease's mechanisms, and will have a direct impact in diagnosis, treatment, and follow up of these patients. In this review, we aim to summarize all the available data regarding the role of biomarkers in LDCT screening and early stage NSCLC from a multidisciplinary perspective. We have highlighted clinical implications, the need to combine risk stratification, clinical data, radiomics, molecular information and artificial intelligence in order to improve clinical decision-making, especially regarding early diagnostics and adjuvant therapy. We also discuss current and future perspectives for biomarker implementation in routine clinical practice.

Indexed as

biomarkersEarly lung cancerlung noduleradiomicsscreening

Identifiers

PMID33718054
PMCPMC7947407

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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.