Evidence map›Paper›PMID 40669056›Full record

ArticleIET systems biology

Characterising and Evaluating the Immune Microenvironment Landscapes of Colorectal Cancer Shaped by Different Therapies.

Chen Zhou, Yifan Wang, Yuanyuan Li, Weitao Zhang, Yunmeng Bai

Abstract read
In one paragraph

Article in IET systems biology. 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. Article
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

5 authors.

Chen ZhouDepartment of Laboratory Medicine, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Yifan WangSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.
Yuanyuan LiDepartment of Clinical Laboratory, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Weitao ZhangDepartment of Laboratory Medicine, The Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Yunmeng BaiSchool of Medicine, Southern University of Science and Technology, Shenzhen, China.ORCID 0000-0001-7915-4501

Funding

Shenzhen Science and Technology Program JCYJ20210324111213037
6 · The paper itself

Abstract

Colorectal cancer (CRC) occurs as the third most common cancer with high mortality across the world. Understanding the intratumoral immune cell heterogeneity and their responses to various therapies is crucial for enhancing patient outcomes. This study aimed to characterise and evaluate the immune microenvironment landscapes of CRC shaped by different therapies including CD73 inhibitor, PD-1 blockade and photothermal therapy (PTT). Our investigation revealed that three therapies could commonly modulate the down-regulation of Treg, M2 macrophage and Ptprj+ G4 granulocyte, up-regulation of effector/memory T cell, M1 macorphage and Hilpda+ G1 granulocyte. Moreover, we identified the uniquely dis-regulated cell types and pathway activities response to each therapy, such as CD73 inhibitor enriched more Cd8+ memory and central memory (CM) cell, PD-1 blockade with more Cd8+ CTL and Cxcl3+ G2 granulocyte, and PTT with more Cd8+ effector memory and Rethlg+ G3 granulocyte cell. These responses disordered the glycolysis, angiogenesis, phagocytosis functions and cellular communication to reshape the CRC tumour immune microenvironment. We provide the detail insights into the intratumoral immunomodulation preferences of CRC mice treated with CD73 inhibitor, PD-1 blockade and PTT therapies, which might contribute to the ongoing development of more effective anticancer strategies.

Indexed as

Colorectal NeoplasmsTumor MicroenvironmentAnimalsHumansMicebioinformaticscancerdata analysisRNA

Identifiers

PMID40669056
PMCPMC12266622

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.