<HashMap><database>GEO</database><file_versions><headers><Content-Type>application/xml</Content-Type></headers><body><files><Other>ftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE328nnn/GSE328422/</Other></files><type>primary</type></body><statusCodeValue>200</statusCodeValue><statusCode>OK</statusCode></file_versions><scores/><additional><omics_type>Other</omics_type><species>Homo sapiens</species><gds_type>Other</gds_type><full_dataset_link>https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE328422</full_dataset_link><repository>GEO</repository><entry_type>GSE</entry_type></additional><is_claimable>false</is_claimable><name>Spatio-temporal mapping of immune cell dynamics during human sequential lymph node metastasis</name><description>Regional lymph node metastasis critically influences distant metastatic progression, anti-tumour immunity, and patient prognosis. This study systematically characterised immune cell dynamics across paired primary tumours, sentinel tumour-draining lymph nodes (S-TDLNs), and secondary axillary lymph nodes (ALNs) from treatment-naïve triple-negative breast cancer (TNBC) patients using integrated multi-omics approaches, including imaging mass cytometry, single-cell RNA sequencing, Visium and Xenium spatial transcriptomics, and multiplex immunofluorescence. Xenium profiling was performed on FFPE lymph node sections spanning different metastatic stages to resolve high-resolution spatial organisation, neighbourhood complexity, and immune cell co-localisation during sequential lymph node metastasis.</description><dates><publication>2026/06/27</publication></dates><accession>GSE328422</accession><cross_references><GSM>GSM9682589</GSM><GSM>GSM9682594</GSM><GSM>GSM9682592</GSM><GSM>GSM9682593</GSM><GSM>GSM9682590</GSM><GSM>GSM9682591</GSM><GPL>33762</GPL><GSE>328422</GSE><taxon>Homo sapiens</taxon></cross_references></HashMap>