Evidence map›Paper›PMID 39830745›Full record

ArticleTranslational lung cancer research2024

A non-interventional biomarker study in patients with adenocarcinoma of the lung treated with nintedanib plus docetaxel following progression on chemotherapy and/or immunotherapy: LUME-BioNIS.

Martin Reck, Konstantinos Syrigos, Skaidrius Miliauskas, Susan C Van't Westeinde, Bartomeu Massuti, Hannes Buchner, Alexey V Salnikov, Robert M Lorence, Anne-Marit Ellingboe, Thomas Kitzing and 1 more

Registry-linked trialAbstract 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. It is linked to trial NCT02671422 (A Non-interventional Biomarker Study in Patients With Non-Small Cell Lung Cancer), which is not on this map. Not yet cited in PubMed.

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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.

NCT02671422 completednot on this map

A Non-interventional Biomarker Study in Patients With Non-Small Cell Lung Cancer (NSCLC) of Adenocarcinoma Tumour Histology Eligible for Treatment With Vargatef® According to the Approved Label.

TypeobservationalSponsorBoehringer IngelheimRan2016 to 2019Enrolled260ConditionsCarcinoma, Non-Small-Cell Lung
3 · Its place in the literature

Who cites it

0 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

11 authors.

Martin ReckDepartment of Thoracic Oncology, Airway Research Center North (ARCN), German Center of Lung Research (DZL), Lung Clinic, Grosshansdorf, Germany.
Konstantinos SyrigosNational and Kapodistrian University of Athens, Sotiria General Hospital, Athens, Greece.
Skaidrius MiliauskasDepartment of Pulmonology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
Susan C Van't WesteindeDepartment of Pulmonology, Maasstad Ziekenhuis, Rotterdam, The Netherlands.
Bartomeu MassutiMedical Oncology Department, Hospital Universitario Dr. Balmis, Instituto Investigación Sanitaria y Biomédica de Alicante (ISABIAL), Alicante, Spain.
Hannes BuchnerStaburo GmbH, Munich, Germany.
Alexey V SalnikovTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany.
Robert M LorenceBoehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, USA.
Anne-Marit EllingboeBoehringer Ingelheim Norway KS, Asker, Norway.
Thomas KitzingTranslational Medicine and Clinical Pharmacology, Boehringer Ingelheim Pharma GmbH & Co. KG, Ingelheim am Rhein, Germany.
Keith KerrDepartment of Pathology, Aberdeen Royal Infirmary, Aberdeen, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Anti-angiogenic agents, such as nintedanib and ramucirumab, when combined with docetaxel, are subsequent treatment options in patients with non-small cell lung cancer (NSCLC) who have failed on first-line chemotherapy or immunochemotherapy. However, to date, there are no validated predictive biomarkers for efficacy of anti-angiogenic therapies in this setting. The aim of this study was to explore whether genetic or genomic markers, alone or combined with clinical covariates, could be used to predict overall survival (OS) in patients with NSCLC who are eligible for treatment with nintedanib plus docetaxel. Methods: LUME-BioNIS (NCT02671422) was a prospective, non-interventional study that assessed the efficacy and safety of nintedanib plus docetaxel in patients with relapsed/refractory NSCLC. The primary outcome was OS in relation to exploratory molecular biomarkers, alone or in combination with clinical covariates. Exploratory multivariate and univariate analyses were undertaken on putative biomarkers including clinical variables, somatic mutations, gene expression, immunological, and proliferation markers. Sub-analyses in patients with prior immunotherapy were performed. Results: Of 260 enrolled patients, most patients received nintedanib plus docetaxel in the second-line (68.8%) or third-line (25.8%). After a median follow-up of 19.7 months, median OS was 8.1 months (95% confidence interval: 7.1-9.5). Univariate subgroup analysis indicated that the presence of liver/adrenal metastases, Eastern Cooperative Oncology Group performance status (ECOG PS) ≥1, time since start of first-line therapy (<9 months), and response to first-line therapy had potential prognostic significance for OS. In multivariate analysis, the presence of brain/liver metastases and the presence of >2 metastatic sites at baseline were associated with OS. In univariate analyses in patients with prior immunotherapy, RNA expression levels of genes involved in cell proliferation, DNA damage repair, interferon signaling, and abundance of neutrophils had potential prognostic significance for OS. Conclusions: Nintedanib plus docetaxel had promising activity and manageable safety in a real-world clinical setting. No new predictive biomarkers were identified to help select patients who may particularly benefit from anti-angiogenic therapy.

Indexed as

biomarkerdocetaxelLUME-BioNISnintedanibnon-small cell lung cancer (NSCLC)

Identifiers

PMID39830745
PMCPMC11736584

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Registered trials

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.