Evidence map›Paper›PMID 40563472›Full record

ReviewBiomolecules2025

Discoidin Domain Receptors in Tumor Biology and Immunology: Progression and Challenge.

Heng Zhang, Wenlong Chen, Haitao Zhu, Hsiang-I Tsai

Abstract readReview
In one paragraph

Review in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. High-Density Type I Collagen Promotes IFN-γAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. Article
  3. 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

4 authors.

Heng ZhangInstitute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang 212013, China.
Wenlong ChenInstitute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang 212013, China.
Haitao ZhuInstitute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang 212013, China.
Hsiang-I TsaiInstitute of Medical Imaging and Artificial Intelligence, Jiangsu University, Zhenjiang 212013, China.ORCID 0000-0002-4233-1428

Funding

Jiangsu Province Natural Science Foundation for Excellent Young Scholars BK20240128
6 · The paper itself

Abstract

The onset and progression of tumors involve intricate, multifactorial processes. A key component in tumor evolution is the dynamic interaction between cancer cells and the extracellular matrix (ECM). Discoidin Domain Receptors (DDRs), a unique class of collagen-activated receptor tyrosine kinases, serve as critical mediators of cell-ECM communication. Recent studies have uncovered their significant roles in modulating diverse cancer-related processes, including immune responses, cell proliferation, apoptosis, differentiation, metabolic reprogramming, metastasis, and resistance to therapy. This review begins with an overview of the discovery, structural features, and canonical and non-canonical functions of DDRs. It then focuses on the reciprocal regulation between DDRs and collagen in the tumor microenvironment, highlighting how this interplay contributes to cancer progression. Furthermore, we explore the involvement of DDRs in reshaping the tumor immune microenvironment and their influence on various aspects of cancer cell biology. Finally, we summarize the current advances in therapeutic strategies targeting DDRs, offering insights into their potential as biomarkers and drug targets in cancer treatment.

Indexed as

Discoidin Domain ReceptorsNeoplasmsAnimalsDisease ProgressionExtracellular MatrixHumansSignal TransductionTumor MicroenvironmentDiscoidin Domain ReceptorsDDR1DDR2immunitytumor metastasis

Identifiers

PMID40563472
PMCPMC12190939

What OpenQuestion holds

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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 OpenQuestion graph.