Evidence map›Paper›PMID 39741973›Full record

ArticleFrontiers in oncology2024

Interstitial lung diseases with concomitant lung cancer: a data mining approach revealing a complex condition with gender- and immune-associated specific implications.

Fabio Perrotta, Donato Lacedonia, Vito D'Agnano, Andrea Bianco, Giulia Scioscia, Pasquale Tondo, Maria Pia Foschino Barbaro, Francesca Mariani, Sara Lettieri, Lucia Del Frate and 8 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 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. Article
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

18 authors.

Fabio Perrotta *Department of Translational Medical Sciences, University of Campania "L. Vanvitelli", Napoli, Italy.
Donato Lacedonia *Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Vito D'AgnanoDepartment of Translational Medical Sciences, University of Campania "L. Vanvitelli", Napoli, Italy.
Andrea BiancoDepartment of Translational Medical Sciences, University of Campania "L. Vanvitelli", Napoli, Italy.
Giulia SciosciaDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Pasquale TondoDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Maria Pia Foschino BarbaroDepartment of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Francesca MarianiDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, Italy.
Sara LettieriDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, Italy.
Lucia Del FrateDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, Italy.
Silvia MancinelliDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, Italy.
Davide PiloniDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, Italy.
Tiberio OggionniDepartment of Medical Sciences, Unit of Pneumology, Azienda Socio-sanitaria Territoriale (ASST) Crema, Crema, Italy.
Chandra BortolottoDiagnostic Imaging and Radiotherapy Unit, Department of Clinical, Surgical, Diagnostic, and Pediatric Sciences, University of Pavia Medical School, Pavia, Italy.
Laura CarrozziDepartment of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.
Isa CerveriDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, Italy.
Angelo Guido CorsicoDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, Italy.
Giulia Maria StellaDepartment of Internal Medicine and Medical Therapeutics, University of Pavia Medical School, Pavia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Interstitial lung diseases (ILDs) comprise a family of heterogeneous entities, primarily characterised by chronic scarring of the lung parenchyma. Among ILDs, idiopathic pulmonary fibrosis (IPF) is the most common idiopathic interstitial pneumonitis, associated with progressive functional decline leading to respiratory failure, a high symptom burden, and mortality. Notably, the incidence of lung cancer (LC) in patients already affected by ILDs-mainly IPF-is significantly higher than in the general population. Moreover, these cases are often neglected and deprived of active oncologic treatments. Methods: We here aim to identify variables predictive of outcome (mortality) in a multicentre retrospective cohort of ILD associated with lung cancer, collected from 2018 to the end of 2023. Overall, 73 cases were identified, and exhaustive clinicopathologic data were available for 55 patients. Among them, 42 had IPF. The entire dataset was then analysed by using the JMP partition algorithm (JMP-Statistical Discoveries, from SAS), which can choose the optimum splits from many possible trees, making it a powerful modelling and data discovery tool. Results: The average age at lung cancer diagnosis was 71.4 years, whereas the average age at IPF diagnosis was 69.5 years. The average Charlson Comorbidity Index was 4.6. Female patients constituted 28.3% (15) of the evaluated cases. The most frequent tumour histotype was adenocarcinoma (45.2%), and in more than 60% of the cases (67.9%), cancer was diagnosed at an early stage (TNM I-II-IIIA). A significant gender difference emerges regarding the overall patient survival, and quite unexpectedly, surgical approach to IPF-associated LC and the detection of serum autoantibodies are among the strongest outcome predictors. Conclusions: The analysis performed is descriptive and successfully identifies key features of this specific and rare cancer population. IPF-associated LC emerges as a unique malignant disease defined by specific gender and histopathologic clinical and molecular parameters, which might benefit from active treatments.

Indexed as

genderidiopathic pulmonary fibrosisinterstitial lung diseaseslung cancerpredictors

Identifiers

PMID39741973
PMCPMC11685083

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.