ArticleBMC cancer2026
Network pharmacology and molecular docking analysis on mechanisms of Euphorbia Lathyris L. seed in treating colorectal cancer.
Article in BMC cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
backgroundEuphorbia Lathyris L. Seed (ELLS) is a Traditional Chinese Medicine (TCM), which has long been used in China. This study was designed to reveal the synergistic mechanism of ELLS in the treatment of colorectal cancer (CRC) by using network pharmacology method and molecular docking. In addition, related in vitro experiments will be conducted to verify the efficacy of ELLS.
methodsELLS related compounds were obtained from TCMSP database. Then active compounds were screened by ADME (absorption, distribution, metabolism, and excretion). Additionally, TCMSP, BATMAN-TCM, STITCH, Swiss Target Prediction and literatures were used to capture the relationships between drugs and targets. A compound-target (C-T) network was established by Cytoscape. Target genes related to CRC were acquired from GeneCards, TTD and OMIM databases. Correlations about compound-target-pathway (C-T-P) were visualized by Cytoscape. The protein-protein interaction (PPI) network was constructed by STRING. Gene survival analysis came from the GEPIA2. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were performed via metascape. Molecular docking analysis was constructed by the AutoDock Vina. And the efficacy of ELLS in combating CRC was verified using HCT116 and SW620 cells.
resultsA total of 12 active compounds and 173 associated targets of ELLS compounds were identified. Sixty-three common genes were obtained by matching 173 potential genes of ELLS with 1554 CRC related genes and PPI network screened out key targets, including AKT1, CASP3, ESR1, TNF, HSP90AA1. Five core compounds were beta-sitosterol, stigmasterol, euphol, Artemetin and lathyrol. Eight core targets were PRKACA, PRKCA, AR, BAX, GSK3B, NFKB1, RXRA and NCOA2 in the C-T-P network. KEGG pathway analysis indicated that ELLS effectively treated CRC through regulation of pathways in cancer, Epstein-Barr virus infection, thyroid hormone signaling pathway, bile secretion, and transcriptional misregulation in cancer. Gene survival analysis showed that 7 genes (APAF1, APOE, CASP3, HDAC2, NFKB1, PGR, and SNAI1) were significantly related in CRC patients’ survival and prognosis. Molecular docking results suggested that almost all of the core compound-targets had an excellent binding activity (affinity < − 5 kcal/mol). CCK8 results indicated that ELLS (20 µg/mL, 24-hour treatment) significantly inhibited the proliferation of HCT116 cells, while it had minimal impact on the viability of normal NCM460 cells under the same conditions (survival rate ≥ 80%).
conclusionKey targets of ELLS could regulate multiple signaling pathways and biological process in treating CRC which provided a scientific basis for further elucidating the mechanism of molecules and screening drug targets.
Indexed as
Identifiers
What Socratic 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 Socratic graph.