Evidence map›Paper›PMID 39831239›Full record

ArticleJournal of thoracic disease2024

Clinicopathological and molecular features of lung cancers associated with cystic airspaces: an analysis of 34 cases.

Feixue Zhou, Wanying Liu, Chang Ding, Liang Di, Ge Sun

Abstract read
In one paragraph

Article in Journal of thoracic disease, 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

5 authors.

Feixue Zhou *Department of Thoracic Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Wanying Liu *Department of Thoracic Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Chang DingDepartment of Thoracic Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Liang DiDepartment of Thoracic Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Ge SunDepartment of Thoracic Surgery, The Second Hospital of Dalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer associated with cystic airspaces (LCCA) is a rare occurrence and frequently remains undetected in imaging tests. The diagnosis and treatment of this disease are often delayed due to the lack of comprehension. We aimed to clarify clinicopathological characteristics and investigate the molecular features of LCCA patients. Methods: We conducted a retrospective study of 34 patients diagnosed with LCCA between March 2017 and March 2023. The LCCA were classified into four types by morphology based on preoperative CT scans. DNA samples from the patients were analyzed through genetic profiling using next-generation sequencing (NGS) that targeted 437 cancer-related genes. We compared our cohort with a publicly available database of typical lung adenocarcinoma (LUAD) among Asian patients. Results: Type I (50.0%) was the most prevalent type, followed by type IV (44.1%). The proportions of type II and III were consistently low, each representing 2.9%. Among them, 33 patients were diagnosed with LUAD. The genes most frequently mutated in cystic LUAD were Conclusions: Our retrospective study has provided useful information about the clinical and molecular characteristics of LCCA, enhancing our understanding of its features for medical research and practice.

Indexed as

Computed tomography (CT)cysticlung cancermolecular featuresnext-generation sequencing (NGS)

Identifiers

PMID39831239
PMCPMC11740048

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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.