Spatial transcriptomics in cancer research: insights into tumorigenesis, diagnosis and therapeutics

Spatial transcriptomics is an innovative technology that enables high-throughput, genome-wide analysis of transcript expression and spatial localization within tissues. By preserving structural organization, it provides critical insights into tumor sub-regions, substructures, and the heterogeneity and plasticity of cancer, stromal, and immune cells, as well as cell-cell interactions. Spatial transcriptomics also offers an unprecedented understanding of the tumor microenvironment, including immune cell infiltration, activation and repression, and immune suppression mediated by stromal cells. Importantly, it deepens our understanding of malignant transformation from precancerous lesions, tumorigenesis, and immune escape. Furthermore, spatial transcriptomics is reshaping cancer subtype diagnosis and risk stratification, uncovering factors associated with drug resistance, predicting therapy responses, and informing the development of personalized cancer treatments and potentially prevention. In summary, spatial transcriptomics serves as a cornerstone of cancer research, transforming the research landscape and unlocking groundbreaking opportunities for precision cancer diagnosis, risk stratification, targeted therapy, and prevention.

Authors

Institutions

Publication Details

Journal
Cell Death Discovery
Published
2026-06-30
DOI
https://doi.org/10.1038/s41420-026-03092-0
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial transcriptomics in cancer research: insights into tumorigenesis, diagnosis and therapeutics

Qing Lan, Xu Zhang, J W Li, Xiaosong Wei et al.
Cell Death Discovery
Single-cell and spatial transcriptomics
article

Spatial transcriptomics in cancer research: insights into tumorigenesis, diagnosis and therapeutics

Qing Lan, Xu Zhang, J W Li, Xiaosong Wei, Tao Liu, Fei Guo, Jianjian Yin, Lirong Zhang, Caiyun Wu, Lei Jin, Qiang Wen
article en

Abstract

Spatial transcriptomics is an innovative technology that enables high-throughput, genome-wide analysis of transcript expression and spatial localization within tissues. By preserving structural organization, it provides critical insights into tumor sub-regions, substructures, and the heterogeneity and plasticity of cancer, stromal, and immune cells, as well as cell-cell interactions. Spatial transcriptomics also offers an unprecedented understanding of the tumor microenvironment, including immune cell infiltration, activation and repression, and immune suppression mediated by stromal cells. Importantly, it deepens our understanding of malignant transformation from precancerous lesions, tumorigenesis, and immune escape. Furthermore, spatial transcriptomics is reshaping cancer subtype diagnosis and risk stratification, uncovering factors associated with drug resistance, predicting therapy responses, and informing the development of personalized cancer treatments and potentially prevention. In summary, spatial transcriptomics serves as a cornerstone of cancer research, transforming the research landscape and unlocking groundbreaking opportunities for precision cancer diagnosis, risk stratification, targeted therapy, and prevention.

Cell Death Discovery
Henan University (CN), UNSW Sydney (AU), Zhengzhou University (CN), Soochow University (CN), Ministry of Education (SA), Second Affiliated Hospital of Soochow University (CN), Henan Provincial People's Hospital (CN), Henan Cancer Hospital (CN), Shenzhen Technology University (CN), First Affiliated Hospital of Zhengzhou University (CN), University of Newcastle Australia (AU)
National Natural Science Foundation of China, National Health and Medical Research Council
Openalex Percentile: Top 11%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.