Evidence map›Paper›PMID 40066442›Full record

ArticleFrontiers in immunology2025

A comprehensive prognostic and immunological implications of Gremlin 1 in lung adenocarcinoma.

Hongyan Li, Yang Zhou, Jiaqing Xiao, Fang Liu

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

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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

2 citing papers in PubMed.

  1. Article
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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

4 authors.

Hongyan Li *Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Yang Zhou *Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.
Jiaqing XiaoInstitute of Disinfection and Infection Control, Heilongjiang Provincial Center for Disease Control and Prevention, Harbin, China.
Fang LiuDepartment of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung adenocarcinoma (LUAD) is a prevalent form of lung cancer globally, known for its high invasiveness, metastatic potential, and notable heterogeneity, particularly in its response to immunotherapy. Gremlin 1 (GREM1) is implicated in tumor progression and poor prognosis in multiple cancers. However, GREM1's specific role in LUAD remains unclear. This study systematically examines GREM1 expression in LUAD and its association with tumor progression, immune microenvironment, and prognosis. Methods: Gene expression data from the TCGA and GSE31210 databases were analyzed using Weighted Gene Co-expression Network Analysis (WGCNA), GO and KEGG enrichment analyses. The prognostic value of GREM1 was evaluated through survival analysis, Cox regression, and Kaplan-Meier curves. Additionally, immune microenvironment analysis was conducted to explore the relationship between GREM1 and immune cell infiltration. Results: GREM1 was significantly upregulated in tumor tissues and correlated with poor prognosis. Moreover, GREM1 was significantly associated with immune cell infiltration and immunotherapy response within the immune microenvironment. Conclusions: A comprehensive analysis indicates that GREM1 is crucial in LUAD progression, with its overexpression predicting poor prognosis. GREM1 could be a potential therapeutic target for LUAD, providing insights for personalized therapy optimization.

Indexed as

Adenocarcinoma of LungIntercellular Signaling Peptides and ProteinsLung NeoplasmsA549 CellsBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKaplan-Meier EstimateNeoplasm InvasivenessPrognosisTumor MicroenvironmentBiomarkers, TumorGREM1 protein, humanIntercellular Signaling Peptides and ProteinsGREM1immune analysislung adenocarcinomaprognosistumor invasion and metastasis

Identifiers

PMID40066442
PMCPMC11891240

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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.