Accession PRJCA020495
Title Spatiotemporal Profiling Unveiling the Cellular Organization Patterns and Local Protumoral Immune Microenvironment Remodeling in Early Lung Adenocarcinoma Progression
Relevance Medical
Data types Transcriptome or Gene expression
Raw sequence reads
Single cell sequencing
Organisms Homo sapiens
Description Spatial cellular organization patterns (COPs) in tumor microenvironment influence the tumor progression and therapeutic response, however, little is known about the cellular composition and functional potential of these multicellular structures during lung adenocarcinoma progression. Here, we integrate spatial transcriptomics with single cell RNA sequencing to characterize the local tumor and immunological landscape of samples from 8 patients with lung adenocarcinoma at different pathological stages. We identified ten COPs that show distinct associations with local immune states and clinical outcomes, including survival and therapy response. The local infiltration levels of regulatory and dysfunctional immune cells are increased with pathological progression. Cell-to-cell interactions between malignant cells and tumor microenvironment (TME) cells were involved in protumor immune state remodeling. Finally, we detected a group of malignant cells that were specifically located at the tumor boundary, representing a more aggressive state, were involved in the invasion of invasive adenocarcinoma (IAC). Altogether, these results can improve our understanding of the local microenvironment characteristics that underlie LUAD progression and may facilitate the identification of drug targets to prevent invasive progression and biomarkers for diagnosis.
Sample scope Single cell
Release date 2025-10-14
Grants
Agency program Grant ID Grant title
Chinese Academy of Sciences (CAS) Strategic Priority Research Program of Chinese Academy of Sciences (CAS) XDB38040100
National Natural Science Foundation of China (NSFC) Key Program 2018YFA0107600
National Natural Science Foundation of China (NSFC) Key Program 2018YFA0800200
National Natural Science Foundation of China (NSFC) Key Program 2016YFA0501801
National Natural Science Foundation of China (NSFC) Key Program 2017YFA0505501
National Natural Science Foundation of China (NSFC) General Program No.82172744
Science and Technology Commission of Shanghai Municipality No.19XD1401300
Science and Technology Commission of Shanghai Municipality No.21Y11913700
External link
External link Link description
https://github.com/haojiechen94/LUAD_COPs Analysis codes were available in Github
Submitter Zhen Shao (shaozhen@picb.ac.cn)
Organization Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences
Submission date 2023-10-14

Project Data

Resource name Description
BioSample (19)  show -