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Deciphering the Immune Microenvironment at the Forefront of Tumor Aggressiveness by Constructing a Regulatory Network with Single-Cell and Spatial Transcriptomic Data.
Xu, Kun; Yu, Dongshuo; Zhang, Siwen; Chen, Lanming; Liu, Zhenhao; Xie, Lu.
Afiliación
  • Xu K; College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
  • Yu D; Shanghai-MOST Key Laboratory of Health and Disease Genomics, The Institute of Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200037, China.
  • Zhang S; Shanghai-MOST Key Laboratory of Health and Disease Genomics, The Institute of Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200037, China.
  • Chen L; Shanghai-MOST Key Laboratory of Health and Disease Genomics, The Institute of Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200037, China.
  • Liu Z; Key Laboratory of Quality and Safety Risk Assessment for Aquatic Products on Storage and Preservation (Shanghai), China Ministry of Agriculture, College of Food Science and Technology, Shanghai Ocean University, Shanghai 201306, China.
  • Xie L; Shanghai-MOST Key Laboratory of Health and Disease Genomics, The Institute of Genome and Bioinformatics, Shanghai Institute for Biomedical and Pharmaceutical Technologies, Shanghai 200037, China.
Genes (Basel) ; 15(1)2024 01 15.
Article en En | MEDLINE | ID: mdl-38254989
ABSTRACT
The heterogeneity and intricate cellular architecture of complex cellular ecosystems play a crucial role in the progression and therapeutic response of cancer. Understanding the regulatory relationships of malignant cells at the invasive front of the tumor microenvironment (TME) is important to explore the heterogeneity of the TME and its role in disease progression. In this study, we inferred malignant cells at the invasion front by analyzing single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) data of ER-positive (ER+) breast cancer patients. In addition, we developed a software pipeline for constructing intercellular gene regulatory networks (IGRNs), which help to reduce errors generated by single-cell communication analysis and increase the confidence of selected cell communication signals. Based on the constructed IGRN between malignant cells at the invasive front of the TME and the immune cells of ER+ breast cancer patients, we found that a high expression of the transcription factors FOXA1 and EZH2 played a key role in driving tumor progression. Meanwhile, elevated levels of their downstream target genes (ESR1 and CDKN1A) were associated with poor prognosis of breast cancer patients. This study demonstrates a bioinformatics workflow of combining scRNA-seq and ST data; in addition, the study provides the software pipelines for constructing IGRNs automatically (cIGRN). This strategy will help decipher cancer progression by revealing bidirectional signaling between invasive frontline malignant tumor cells and immune cells, and the selected signaling molecules in the regulatory network may serve as biomarkers for mechanism studies or therapeutic targets.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Ecosistema Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: Genes (Basel) Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Ecosistema Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Revista: Genes (Basel) Año: 2024 Tipo del documento: Article País de afiliación: China