Evidence map›Paper›PMID 41024301›Full record

ArticleExperimental hematology & oncology2025

FGL1-mediated lymph node metastasis in stage T1 non-small cell lung cancer: therapeutic targeting.

Xi-Yang Tang, Run-Ze Zhang, Zhi-Bo Feng, Yu-Long Zhou, Wei-Guang Du, Chen Shu, Yang Shen, Meng-Chao Li, Jun-Chao Cai, Xiao-Long Yan and 2 more

Abstract read
In one paragraph

Article in Experimental hematology & oncology, 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

12 authors.

Xi-Yang Tang *Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Run-Ze Zhang *Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Zhi-Bo Feng *Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Yu-Long ZhouDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Wei-Guang DuDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Chen ShuDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Yang ShenDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Meng-Chao LiDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China.
Jun-Chao CaiDepartment of Immunology, Zhongshan School of Medicine, Sun Yat-Sen University, Guangzhou, 510515, China.
Xiao-Long YanDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China. yanxiaolong@fmmu.edu.cn.
Nan MaDepartment of Ophthalmology, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China. manan840808@163.com.
Jin-Bo ZhaoDepartment of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, 569 Xinsi Road, Xi'an, 710038, Shaanxi, China. zhaojinbo@aliyun.com.

Funding

2024 Tangdu Hospital High-level Talent Cultivation Program 2024RCPY0302024 Tangdu Hospital Major Clinical Technology Innovation Projects 2024LCJS013National Natural Science Foundation of China 82070101Shaanxi Outstanding Youth Natural Science Foundation S2024-JC-JQ-0387
6 · The paper itself

Abstract

backgroundApproximately 30% of patients with stage T1 non-small cell lung cancer (NSCLC) have mediastinal (N2) lymph node metastasis; however, the underlying mechanism remains unclear.

methodsThe cells likely mediating N2 lymph node metastasis in T1 NSCLC were identified by single-cell sequencing. The expression and function of the main functional gene high fibrinogen-like protein 1 (FGL1) in this cell subgroup were analyzed by single-cell analysis. Transcriptome sequencing, metabolome sequencing, and mass spectrometry combined with in vitro and in vivo experiments were conducted, and therapeutic validation was performed using shFGL1_AAV9 and shFGL1_AAV6.

resultsA novel cell subgroup characterized by FGL1 expression was identified (CCNE1(+) cells). FGL1 expression coincided with the appearance of this cell subgroup, suggesting that FGL1 + cells mediate T1 NSCLC N2 lymph node metastasis. Mass spectrometry combined with transcription sequencing and metabonomics revealed that FGL1 may affect glycolysis regulators and participate in epithelial-to-mesenchymal transition in NSCLC via the PI3K/AKT/HIF-1α pathway. Further analyses suggested that FGL1 promotes tumor proliferation, metastasis, and lymph tube formation, ultimately inducing lymph node metastasis. This was verified in vivo and in vitro. FGL1 knockdown inhibited these processes. Finally, shFGL1_AAV9 and shFGL1_AAV6 were verified as novel targeted therapies to knock down FGL1 in vivo, supporting the identification of new therapeutic targets to inhibit NSCLC metastasis.

conclusionWe elucidated the role of FGL1 in NSCLC, proposing that FGL1 acts like a "shield machine cutter" in mediating T1 NSCLC N2 lymph node tube formation, creating metastasis channels. This provides the basis for novel FGL1-targeting treatment strategies.

Indexed as

CCNE1(+) cellsFGL1N2 lymph node metastasisShFGL1_ AAV6ShFGL1_ AAV9Single-cell sequencingT1 NSCLC

Identifiers

PMID41024301
PMCPMC12481761

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.