Evidence map›Paper›PMID 42380096›Full record

ReviewCell death discovery2026

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

Qiang Wen, Qing Lan, Jianjian Yin, Fei Guo, Xiaosong Wei, Caiyun Wu, Lei Jin, Xu D Zhang, Jinyan Li, Lirong Zhang and 1 more

Abstract readReview
In one paragraph

Review in Cell death discovery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Qiang Wen *Institute of Clinical Pharmacology, School of Basic Medical Sciences, Zhengzhou Key Laboratory of Lipid Metabolism and Precision Diagnosis & Treatment in Oncology, State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Zhengzhou University, Zhengzhou, China.
Qing Lan *Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China. szlq006@163.com.ORCID http://orcid.org/0000-0002-8468-4942
Jianjian YinHenan Provincial People's Hospital, Henan University, Zhengzhou, China.
Fei GuoThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaosong WeiThe First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Caiyun WuState Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Zhengzhou University, Zhengzhou, China.
Lei JinInstitute of Clinical Pharmacology, School of Basic Medical Sciences, Zhengzhou Key Laboratory of Lipid Metabolism and Precision Diagnosis & Treatment in Oncology, State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Zhengzhou University, Zhengzhou, China.
Xu D ZhangHenan Provincial People's Hospital, Henan University, Zhengzhou, China.
Jinyan LiFaculty of Computer Science and Artificial Intelligence, Shenzhen University of Advanced Technology, Shenzhen, Guangdong, China. lijinyan@suat-sz.edu.cn.
Lirong ZhangInstitute of Clinical Pharmacology, School of Basic Medical Sciences, Zhengzhou Key Laboratory of Lipid Metabolism and Precision Diagnosis & Treatment in Oncology, State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Zhengzhou University, Zhengzhou, China. zhanglirongzzu@126.com.ORCID http://orcid.org/0000-0002-5020-957X
Tao LiuInstitute of Clinical Pharmacology, School of Basic Medical Sciences, Zhengzhou Key Laboratory of Lipid Metabolism and Precision Diagnosis & Treatment in Oncology, State Key Laboratory of Metabolic Dysregulation & Prevention and Treatment of Esophageal Cancer, Tianjian Laboratory of Advanced Biomedical Sciences, School of Convergence Medicine, Zhengzhou University, Zhengzhou, China. tao_liu_@zzu.edu.cn.ORCID http://orcid.org/0000-0001-6244-7316

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82072790 and 82372757
6 · The paper itself

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.

Identifiers

PMID42380096
PMCPMC13582851

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.