Evidence map›Paper›PMID 40672387›Full record

ArticleFrontiers in genetics2025

FAT1 mutation-related signature predicts survival risk and tumor immunogenicity in lung adenocarcinoma.

Lifeng Gao, Xueying Wang, Yixin Xu, Aimin Wang, Wenjing Zhang, Qinghua Wang, Yanfeng Ren

Abstract read
In one paragraph

Article in Frontiers in genetics, 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

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

7 authors.

Lifeng GaoDepartment of Clinical Laboratory, Affiliated Hospital of Shandong Second Medical University, Weifang, Shandong, China.
Xueying WangKey Laboratory of Medicine and Health of Shandong Province, Department of Health Statistics, School of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Yixin XuSchool of Medical Laboratory, Shandong Second Medical University, Weifang, Shandong, China.
Aimin WangKey Laboratory of Medicine and Health of Shandong Province, Department of Health Statistics, School of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Wenjing ZhangKey Laboratory of Medicine and Health of Shandong Province, Department of Health Statistics, School of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Qinghua WangKey Laboratory of Medicine and Health of Shandong Province, Department of Health Statistics, School of Public Health, Shandong Second Medical University, Weifang, Shandong, China.
Yanfeng RenKey Laboratory of Medicine and Health of Shandong Province, Department of Health Statistics, School of Public Health, Shandong Second Medical University, Weifang, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: FAT atypical cadherin 1 (FAT1) is a well-known tumor regulator that plays a crucial role in multiple cancer signaling pathways. Its mutations have been linked to tumor progression and immune regulation in various cancers, including lung adenocarcinoma (LUAD). In this study, we aim to identify a FAT1 mutation-related transcriptomic risk signature to assess the survival risks and immune status of LUAD patients. Methods: A total of 2528 LUAD samples, which included both gene expression profiles and clinicopathologic data, were collected from 12 datasets. Additionally, two datasets treated with immunotherapies were also included to investigate the therapeutic effects. Results: We constructed a FAT1 mutation molecular signature based on 9 relevant genes. LUAD patients with low-risk scores demonstrated a more favorable prognosis compared to those with high-risk scores, which is corroborated by 6 additional independent datasets. Further immunological, mutational, and intratumor microbial analyses reveal that increased infiltration of immune effector cells, increased mutational burden, specific mutational signatures (such as age and APOBEC associated), mutations in driver genes (e.g., TP53, KEAP1, NAV3, and SMARCA4), and increased microbial α/β diversities are present in the low-risk LUAD patients. Based on the immunotherapeutic patients, an improved immune checkpoint blockade treatment prognosis and an elevated response rate are also observed in the low-risk signature group. Conclusion: In summary, Our identified FAT1 mutation-related risk signature shows potential for assessing LUAD clinical outcomes, tumor immunogenicity, and immunotherapy effectiveness, providing valuable insights for LUAD clinical practice.

Indexed as

FAT1 mutation signatureimmune treatmentlung adenocarcinomaprognostic indicatorssurvival risktumor immunogenicity

Identifiers

PMID40672387
PMCPMC12263358

What Socratic holds

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LicenceCC BY
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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 Socratic graph.