ArticleScientific reports2025
SPP1
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- TXNRD1-driven enteric glial remodeling promotes neuronal dysfunction in Hirschsprung disease.iScience · 2026Article
- An epithelial mesenchymal transition associated gene signature stratifies risk of ulcerative colitis associated colorectal cancer.Discover oncology · 2026Article
- SPP1 (osteopontin): a key regulator orchestrating cancer progression and non-cancerous pathologies - therapeutic opportunities and future directions.Frontiers in cell and developmental biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tumor metastasis is an important risk factor for death in patients with colorectal cancer (CRC). This study aims to explore the effect of CXCL9 and SPP1 (CS) polarity alteration of tumor-associated macrophages (TAMs) on CRC progression and its associated molecular mechanisms. The heterogeneity of cellular subsets between the CRC and Normal groups was analyzed using single-cell RNA sequencing (scRNA-seq) technology. Developmental trajectories of the cellular subsets were plotted using pseudotime analysis, and the differences in enrichment scores among the cellular subsets were analyzed by combining gene set variation analysis (GSVA). Mouse CRC models were constructed, and SPP1
Indexed as
Identifiers
What OpenQuestion holds
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.