Evidence map›Paper›PMID 40386593›Full record

ArticleJournal of gastrointestinal oncology2025

Comprehensive genomic profiling of small bowel adenocarcinoma with liver metastasis.

Ruixia Jie, Changchao Xiao, Li Wang, Dejian Gu, Yuange He, Leonardo S Lino-Silva, Keita Kai, Chuanchuan Li, Fang Peng

Abstract read
In one paragraph

Article in Journal of gastrointestinal oncology, 2025. 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

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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

9 authors.

Ruixia Jie *Graduate School, Zhejiang Chinese Medical University, Hangzhou, China.
Changchao Xiao *Department of Pathology, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, Hangzhou, China.
Li WangGeneplus-Beijing Institute, Beijing, China.
Dejian GuGeneplus-Beijing Institute, Beijing, China.
Yuange HeGeneplus-Beijing Institute, Beijing, China.
Leonardo S Lino-SilvaTecnológico de Monterrey, School of Medicine and Health Sciences, Campus Ciudad de México, Tlalpan, Mexico City, Mexico.
Keita KaiDepartment of Pathology, Saga University Hospital, Saga, Japan.
Chuanchuan LiDepartment of Thoracic Surgery, Zhejiang Hospital, Hangzhou, China.
Fang PengDepartment of Pathology, Zhejiang Hospital, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Small bowel adenocarcinoma (SBA) is a malignant tumor with a relatively low prevalence. Metastasis, especially liver metastasis (LM), is an important prognostic indicator of poor prognosis in patients with SBA. Due to the rarity of SBA, there is currently a lack of research on the characteristics of liver metastases in small intestine cancer. The aim of this study is to investigate the molecular characteristics associated with metastasis in SBA and to explore the specific molecular combinations related to LM. Methods: A retrospective study was performed on patients with SBA who were admitted to Zhejiang Hospital and Affiliated Hangzhou First People's Hospital from July 2013 to July 2022. Sequencing with tissue was performed using a 1,021-gene panel. The least absolute shrinkage and selection operator (LASSO) algorithm was used to identify the genes for predicting LM from SBA. Results: A total of 97 patients with SBA, including 48 patients without metastasis, 29 with LM, and 20 with extrahepatic metastasis (EHM), were enrolled in this cohort. The five genes with the highest mutation frequency in the overall samples were Conclusions: This study elucidated the molecular characteristics of metastatic SBA and found that

Indexed as

genomic landscapeliver metastasis (LM)prediction modelrisk factorSmall bowel adenocarcinoma (SBA)

Identifiers

PMID40386593
PMCPMC12078821

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