ReviewInternational journal of molecular sciences2025
Research Progress Regarding the Use of Single-Cell Sequencing Technology in Analyzing Tumor Endothelial Cell Pathophysiology.
Review 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. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Integrating multiple omics and machine learning to reveal the prognostic value of endoplasmic reticulum stress geneTranslational cancer research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Tumor vascular endothelial cells are essential constituents of the tumor microenvironment, responsible for delivering oxygen and nutrients that are vital for tumor growth and proliferation. As a hallmark of cancer progression, abnormal tumor vasculature contributes to tumor development through multiple mechanisms. Although anti-angiogenic therapies are widely used in the treatment of various cancers, the intrinsic heterogeneity of endothelial cells poses significant challenges regarding therapeutic efficacy. Therefore, further investigation into the heterogeneity of tumor endothelial cells is of paramount importance. The rapid advancement of single-cell sequencing technologies in recent years has facilitated the detailed characterization of heterogeneity among tumor endothelial cells at the single-cell level, thereby fostering a more precise understanding of the functional roles of individual cells within the tumor microenvironment. This technology has become an indispensable tool for investigating the heterogeneity of tumor endothelial cells, offering insights that could inform the refinement of future cancer treatments. In this review, we synthesize findings from the field of single-cell omics to elucidate the heterogeneous characteristics of tumor endothelial cells. We analyze recent advancements in single-cell technology used in the study of tumor cell heterogeneity in terms of both commonalities and distinctive features, covering aspects at the gene and cellular levels. In this review, we provide an overview of recent applications of single-cell sequencing technology in analyzing tumor endothelial cell heterogeneity, offering insights into the development of precise tumor therapies.
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Registered trials
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.