Evidence map›Paper›PMID 42147971›Full record

ReviewBiomedical reports2026

Decoding the S1P-S1PR axis in cancer: Mechanisms, pathways and therapeutic horizons (Review).

Yun-Ta Chuang, I-Hui Wu, Cheng-Fan Lee, Hsinyu Lee

Abstract readReview
In one paragraph

Review in Biomedical reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yun-Ta ChuangSchool of Medicine, University of Lancashire, Preston, Lancashire PR1 2HE, UK.
I-Hui WuDepartment of Biological Chemistry and Molecular Pharmacology, Harvard Medical School, Boston, MA 02115, USA.
Cheng-Fan LeeDepartment of Biochemistry and Molecular Cell Biology, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan, R.O.C.
Hsinyu LeeDepartment of Life Science, National Taiwan University, Taipei 10617, Taiwan, R.O.C.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sphingosine-1-phosphate (S1P) and its five G protein-coupled receptors (S1PR1-S1PR5) regulate a broad range of processes that shape cancer progression, including proliferation, survival, angiogenesis, immune evasion and metastatic dissemination. Under physiological conditions, this signaling axis contributes to vascular integrity, immune cell trafficking and tissue homeostasis. In cancer, however, its output is not solely determined by ligand abundances. Rather, tumors reprogram the S1P-S1PR axis at a number of levels, coupling altered S1P production with receptor-specific changes in expression, localization and the signaling state to generate context-dependent malignant phenotypes. The present review provided a receptor-resolved synthesis of S1PR functions in cancer and examined the mechanisms that underlie pathway dysregulation, including transcriptional activation, epigenetic remodeling, microRNA loss, post-translational modifications and altered receptor trafficking and compartmentalization. It further discussed how metabolic amplification of S1P availability cooperates with receptor-level rewiring to sustain tumor progression, microenvironmental remodeling and therapeutic resistance. This framework positions the S1P-S1PR axis as a dynamically reprogrammed signaling network and highlights therapeutic strategies that concurrently target S1P production and receptor-mediated signaling as promising avenues for more-precise, biomarker-informed cancer treatment.

Indexed as

cancer progressionsphingosine-1-phosphatesphingosine-1-phosphate receptorsphingosine-1-phosphate-targeted therapytumor microenvironment

Identifiers

PMID42147971
PMCPMC13172667

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.