Evidence map›Paper›PMID 40918135›Full record

ArticleFrontiers in immunology2025

Spatial transcriptomics uncovers immune-cell plasticity and dedifferentiation signatures in aggressive lung adenocarcinoma subtypes.

Huiyan Deng, Qingyi Liu, Ziqiang Tian, Guangjie Liu, Shize Wang, Di Liang, Yun Wang, Yaqing Han, Shaonan Xie

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Huiyan DengDepartment of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Qingyi LiuDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Ziqiang TianDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Guangjie LiuDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Shize WangDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Di LiangCancer Institute in Hebei Province, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yun WangDepartment of Pulmonary Medicine, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yaqing HanDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Shaonan XieDepartment of Thoracic Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intrinsic genetic alterations and dynamic transcriptional changes contribute to the heterogeneity of solid tumors. Lung adenocarcinoma (LUAD) is characterized by its significant histological, cellular and molecular heterogeneity. The present study aimed to study the spatial transcriptomics of primary LUAD with initial hopes to decipher molecular characteristics of subtype transitions in LUAD progression, offering new insights for novel therapeutic strategies. Spatial transcriptomics libraries were first generated from tumor samples collected from patients with LUAD who underwent surgical resection in The Fourth Hospital of Hebei Medical University in 2022 and were sequenced using Illumina NovaSeq 6000 system. The processed data were analyzed for differential gene expressions and networks, and were annotated according to cell type, spatial ligand-receptor interaction and trajectory inference. Our analysis revealed 34 annotated cell types, with cancer-associated fibroblasts (CAFs) being the most abundant, playing a crucial role in tumor microenvironment remodeling and prognosis. We noted significant spatial correlations between various immune cells and found that different histological subtypes displayed unique cell composition profiles, particularly in the micropapillary subtype, which exhibited higher macrophage proportions and distinct gene expression pathways related to extracellular matrix organization and receptor tyrosine kinase signaling. Additionally, we explored the dedifferentiation states within these subtypes, identifying that region with higher dedifferentiation scores corresponded to increased tumor invasiveness and potential drug resistance. Our findings demonstrate dynamic biological changes and dedifferentiation states of tumor subtypes during the progression process. This study reveals important biological processes in tumor development and may offer valuable guidance for future therapeutic strategies.

Indexed as

Adenocarcinoma of LungCell DedifferentiationCell PlasticityLung NeoplasmsTranscriptomeBiomarkers, TumorCancer-Associated FibroblastsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedTumor MicroenvironmentBiomarkers, Tumorbioinformaticsbiological processes in tumor developmentheterogeneitylung adenocarcinomamolecular characteristics of subtypespatial transcriptomics

Identifiers

PMID40918135
PMCPMC12408323

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.