Evidence map›Paper›PMID 40242403›Full record

ArticleBiochemistry and biophysics reports2025

Novel causes and assessments of intrapulmonary metastasis.

Ming Cheng, Shujun Shao, Wei Xu, Dazhi Liu

Abstract read
In one paragraph

Article in Biochemistry and biophysics reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Ming ChengDepartment of Thoracic Surgery, General Hospital of Northern Theater Command, Shenyang, 110016, China.
Shujun ShaoDepartment of Thoracic Surgery, General Hospital of Northern Theater Command, Shenyang, 110016, China.
Wei XuDepartment of Thoracic Surgery, General Hospital of Northern Theater Command, Shenyang, 110016, China.
Dazhi LiuDepartment of Thoracic Surgery, General Hospital of Northern Theater Command, Shenyang, 110016, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study utilized next-generation sequencing (NGS) to analyze genetic information and gene mutation-related loci in ground glass nodules (GGN) with multiple (≥2) lesions. Pathological findings were then correlated to distinguish between multiple primary lung cancers (MPLC) and pulmonary metastasis (PM). Methods: A cohort of 20 individuals who underwent surgical resection for ground glass nodules (GGN) was included. Final diagnosis and restaging were determined based on the analysis of clinical characteristics and NGS single-target genetic detection. Results: Histopathological, immunohistochemical staining, and NGS analyses identified 48 tissue samples from 20 cases of multiple malignant nodules. A total of 66 gene mutations were identified, with four cases classified as PM. Notably, four patients with intrapulmonary metastases exhibited concurrent mutations in the epidermal growth factor receptor (EGFR) (50 %) and Kirsten ratsarcoma viral oncogene homolog (KRAS). Comparatively, the prevalence of EGFR mutations in PM patients was significantly higher than that in primary lesions. Conclusion: Genomic analysis of multiple lung adenocarcinomas enables the determination of the clonal status of tumor cells across various lesions. When gene mutation sites in multiple lesions are identical and mutation abundance is significantly elevated, early intrapulmonary metastasis may be diagnosed.

Indexed as

Gene mutationMPLC: multiple primary lung cancerNGS: next generation sequencingPM: intrapulmonary metastasis

Identifiers

PMID40242403
PMCPMC12002959

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.