Spatial transcriptomic and proteomic approaches for profiling prognostic cell communities in solid tumors
Open Access
- 25 August 2026
- journal article
- review article
- Published by Elsevier in Journal of Advanced Research
Abstract
No abstract availableKeywords
Funding Information
- National Key Research and Development Program of China (2022YFC3401600)
- Natural Science Foundation of Chongqing Municipality (CSTB2024NSCQ-MSX0841)
- National Natural Science Foundation of China (91959206)
- National Natural Science Foundation of China (82120108019)
This publication has 230 references indexed in Scilit:
- Integrated spatial multi‐omics profiling of Fusobacterium nucleatum in breast cancer unveils its role in tumour microenvironment modulation and cancer progressionClinical and Translational Medicine, 2025
- Unveiling the impact of tertiary lymphoid structures on immunotherapeutic responses of clear cell renal cell carcinomaMedcomm, 2024
- Spatial Transcriptomics: Technical Aspects of Recent Developments and Their Applications in Neuroscience and Cancer ResearchAdvanced Science, 2023
- The prognostic value and molecular properties of tertiary lymphoid structures in oesophageal squamous cell carcinomaClinical and Translational Medicine, 2022
- Cancer‐associated fibroblasts in breast cancer: Challenges and opportunitiesCancer Communications, 2022
- MIRIAM: A machine and deep learning single‐cell segmentation and quantification pipeline for multi‐dimensional tissue imagesCytometry Part A, 2022
- Semi‐automated background removal limits data loss and normalizes imaging mass cytometry dataCytometry Part A, 2021
- A robust multiplex immunofluorescence and digital pathology workflow for the characterisation of the tumour immune microenvironmentMolecular Oncology, 2020
- Overview of multiplex immunohistochemistry/immunofluorescence techniques in the era of cancer immunotherapyCancer Communications, 2020
- Automatic single cell segmentation on highly multiplexed tissue imagesCytometry Part A, 2015