Evidence map›Paper›PMID 42444407›Full record

ArticleCell proliferation2026

Single-Cell and Spatial Analysis Reveal the Differences Between Left-Sided and Right-Sided Colorectal Cancer.

Zongnai Zhang, Jiaqi Xu, Yingchao Wu, Tao Liu, Junling Zhang, Mai Zhou, Jie Qiao, Heng Pan, Xin Wang

Abstract read
In one paragraph

Article in Cell proliferation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Zongnai ZhangDepartment of General Surgery, Peking University First Hospital, Peking University, Beijing, China.
Jiaqi XuState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0009-0006-6348-3769
Yingchao WuDepartment of General Surgery, Peking University First Hospital, Peking University, Beijing, China.
Tao LiuDepartment of General Surgery, Peking University First Hospital, Peking University, Beijing, China.
Junling ZhangDepartment of General Surgery, Peking University First Hospital, Peking University, Beijing, China.
Mai ZhouDepartment of General Surgery, Civil Aviation General Hospital, Beijing, China.
Jie QiaoState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.
Heng PanState Key Laboratory of Female Fertility Promotion, Center for Reproductive Medicine, Department of Obstetrics and Gynecology, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-5407-5687
Xin WangDepartment of General Surgery, Peking University First Hospital, Peking University, Beijing, China.

Funding

China Postdoctoral Science Foundation GZB20240044National Key Research and Development Program of China 2023YFC2705901National Natural Science Foundation of China 82372860National Natural Science Foundation of China 82401943
6 · The paper itself

Abstract

Colorectal cancer (CRC) exhibits heterogeneity based on tumour laterality, with right-sided tumours demonstrating distinct genetic, immunogenic and clinical behaviours compared to left-sided counterparts. In this study, we conducted single-cell RNA sequencing and spatial transcriptomics to dissect the distinct molecular landscapes of left- and right-sided CRC. We identified enhanced germinal centre B cell infiltration and CXCL13

Indexed as

colorectal cancertertiary lymphoid structuretumour lateralitytumour microenvironment

Identifiers

PMID42444407
PMCPMC13366197

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.