A spatial transcription database site for diseases of human systems

About this data set


Accession NO. GSE200916
Cell Count
Technique
PMID
Title Spatial transcriptomics based characterization of spatial architecture in human multiple primary lung cancer
Organism Homo sapiens
Overall design We collected three MPLC patients (one squamous carcinoma and twk adenocarcinomas); each patient had two separate lung tumor lesions. Spatial transcriptomics sequencing was applied on 12 samples, including paired tumor and tumor-adjacent normal tissues from each of the two different tumor lesions of three MPLC patients (P1, P2, P3).
Summary Multiple primary lung cancers (MPLC) pose diagnostic and therapeutic challenges in the clinic. Here, we orchestrated the cellular atlas and spatial architecture of MPLC based on spatial transcriptomics.