Evidence map›Paper›PMID 40849816›Full record

ReviewInternational journal of oncology2025

Unraveling tumor cell‑tumor microenvironment crosstalk through antibody array technologies (Review).

Yanlin Wang, Shuhong Luo, Hua Dong, Ruo-Pan Huang

Abstract readReview
In one paragraph

Review in International journal of oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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

4 authors.

Yanlin WangRaybiotech Co., Ltd., Guangzhou, Guangdong 510600, P.R. China.
Shuhong LuoRaybiotech Co., Ltd., Guangzhou, Guangdong 510600, P.R. China.
Hua DongDepartment of Biomedical Engineering, School of Materials Science and Engineering, South China University of Technology, Guangzhou, Guangdong 510641, P.R. China.
Ruo-Pan HuangRaybiotech Co., Ltd., Guangzhou, Guangdong 510600, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) consists of tumor cells, stromal cells, infiltrating immune cells and non‑cellular components such as extracellular matrix, blood vessels and a wide variety of secreted proteins. Evidence shows that beyond supporting tumor growth, the TME also promotes tumor cell proliferation and invasion and contributes to treatment resistance, ultimately affecting patient prognosis. Cell‑to‑cell communication within the TME is driven by secreted proteins such as cytokines, chemokines, growth factors and interferons, which are produced not only by tumor cells but also by various stromal cells and immune cells. These proteins form a complex signaling network that promotes tumor cell proliferation and invasion and enables tumors to evade innate and adaptive immune responses. Antibody arrays are a technology that can simultaneously screen hundreds of secreted proteins in complex biological samples, aiding in the exploration of this complex signaling network. By combining high‑throughput multiplex immunoassays such as antibody arrays with cellular and molecular biology techniques, researchers have uncovered complex regulatory mechanisms of cytokine networks within the TME. The present review summarized recent findings on the communication between tumor cells and the TME, as well as key secreted proteins essential for tumor progression and the development of therapeutic resistance. In addition, it discusses how high‑throughput antibody arrays contribute to our understanding of regulatory networks of secreted proteins in the TME.

Indexed as

Cell CommunicationNeoplasmsProtein Array AnalysisTumor MicroenvironmentAnimalsCytokinesHumansSignal TransductionCytokinesantibody arraybiomarkercrosstalkcytokinesecretomesignaling pathwaytumor celltumor microenvironment

Identifiers

PMID40849816
PMCPMC12370358

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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.