Evidence map›Paper›PMID 41009818›Full record

ArticleInternational journal of molecular sciences2025

Investigating the Development of Colorectal Cancer Based on Spatial Transcriptomics.

Zhaoyao Qi, Guoqing Gu, Huanwei Huang, Beile Lyu, Yibo Liu, Wei Wang, Xu Zha, Xicheng Liu

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2025. 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

8 authors.

Zhaoyao QiLaboratory for Clinical Medicine, Beijing Key Laboratory for Tumor Invasion and Metastasis, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.ORCID 0000-0002-9119-1062
Guoqing GuLaboratory for Clinical Medicine, Beijing Key Laboratory for Tumor Invasion and Metastasis, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Huanwei HuangLaboratory for Clinical Medicine, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Beile LyuLaboratory for Clinical Medicine, Beijing Key Laboratory for Tumor Invasion and Metastasis, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Yibo LiuLaboratory for Clinical Medicine, Beijing Key Laboratory for Tumor Invasion and Metastasis, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Wei WangLaboratory for Clinical Medicine, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Xu ZhaLaboratory for Clinical Medicine, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.
Xicheng LiuLaboratory for Clinical Medicine, Beijing Key Laboratory for Tumor Invasion and Metastasis, Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Capital Medical University, Beijing 100069, China.ORCID 0000-0001-5486-8903

Funding

National Key R&D Program of China 2024YFF0728704, 2024YFA1306901National Natural Science Foundation of China 82073126, 81874076
6 · The paper itself

Abstract

Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. However, the spatial and temporal dynamics underlying its development remain poorly characterized. This study employs spatial transcriptomics (ST) to investigate the progression of intestinal tumors in

Indexed as

Colorectal NeoplasmsTranscriptomeAnimalsBiomarkers, TumorCell Line, TumorCell MovementCell ProliferationDisease ProgressionGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMiceBiomarkers, Tumorbioinformaticscolorectal cancerenrichment analysispseudo-time analysisspatial transcriptomics

Identifiers

PMID41009818
PMCPMC12470395

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.