Jul 2026· Frontiers in Cell and Developmental Biology· Vol 14· 0 citations· 51 references
Medicine
TL;DR
It is suggested that TRIP6 may be involved in linking microenvironmental signaling to invasive phenotypes, with potential value for prognostic stratification and therapeutic exploration.
Abstract
Background Colorectal cancer (CRC) is characterized by profound molecular heterogeneity and complex tumor–microenvironment interactions, which contribute to invasion, metastasis, and variable clinical outcomes. More effective prognostic biomarkers and therapeutic targets are still needed. Methods We integrated single-cell RNA sequencing, spatial transcriptomics, multi-cohort bulk transcriptomic data, drug response prediction, and in vitro experiments to characterize malignant epithelial states in CRC and identify clinically relevant biomarkers and candidate therapeutics. Stemness, copy number variation, pathway activity, and cell–cell communication were analyzed at single-cell resolution. A prognostic model was established using epithelial marker genes and validated across TCGA and five GEO cohorts through a consensus machine-learning framework. Drug sensitivity was evaluated using CTRP and PRISM datasets, and candidate compounds were further prioritized through a network-based drug repositioning strategy. Spatial transcriptomics was used to define the tissue localization of key genes, and functional assays were performed to assess the role of TRIP6 in CRC cells. Results Malignant epithelial cells exhibited increased stemness, frequent aneuploidy, enhanced glycolysis, along with upregulation of the Wnt/β-catenin and PI3K-AKT-mTOR signaling cascades. Cell–cell communication analysis revealed prominent extracellular matrix-related interactions linking cancer-associated fibroblasts and epithelial cells, suggesting a microenvironmental contribution driving epithelial–mesenchymal transition (EMT). The prognostic model showed stable predictive performance across independent cohorts. Among the model genes, TRIP6 was identified as a risk-associated candidate and was enriched at the tumor–stroma invasive boundary by spatial transcriptomic analysis. In vitro, TRIP6 knockdown suppressed CRC cell proliferation and migration, promoted apoptosis, and partially reversed EMT-associated marker expression, supporting a potential role for TRIP6 in malignant progression. In addition, drug prediction analyses identified several compounds with potential therapeutic relevance for high-risk patients. Conclusion This study provides a multi-omic framework for understanding CRC progression and suggests that TRIP6 may be involved in linking microenvironmental signaling to invasive phenotypes, with potential value for prognostic stratification and therapeutic exploration.
Background Colorectal cancer (CRC) is a highly heterogeneous malignancy with substantial variability in clinical outcomes. Although established molecular classification systems have improved CRC stratification, pathway-level subtyping remains underexplored. A framework integrating pathway-based molecular subtype discovery, multi-cohort validation, single-cell projection, and mechanistic target identification is still lacking. Methods Transcriptomic data from TCGA CRC samples were transformed into pathway activity profiles using gene set variation analysis (GSVA), followed by consensus clustering to define pathway-based molecular subtypes. Nearest template prediction (NTP) was applied across 17 independent cohorts to validate subtype robustness. Three CRC single-cell RNA-seq datasets were integrated and analyzed using the single-cell phenotype-associated subpopulation identifier (scPAS) to map subtype-associated signals at cellular resolution. Multi-cohort Cox regression identified prognostic genes, and LAMP5 was further assessed through clinicopathological correlation, pathway enrichment analyses, and experimental validation in vitro and in vivo. Results Four pathway-based molecular subtypes were identified, among which C4 had the worst prognosis. The subtype classification was reproducible across 17 external cohorts. Single-cell analysis suggested that the aggressive subtype-associated phenotype could be projected onto distinct cell populations. LAMP5 emerged as the most consistent unfavorable prognostic gene across cohorts and was associated with advanced clinicopathological features. Functional analyses linked LAMP5 to TGFβ signaling, epithelial-mesenchymal transition (EMT), angiogenesis, invasion, and metastasis. Experimental results supported the pro-tumorigenic role of LAMP5 in CRC. Conclusion This study establishes a pathway-based molecular classification framework for CRC and identifies LAMP5 as a robust prognostic biomarker and candidate therapeutic target associated with the EMT pathway.
This study establishes a novel CSC–associated gene signature for diagnosis and prognosis in HCC and nominates belinostat as a repurposing candidate for targeting stemness‐related pathways, offering a promising strategy for personalized therapy.
Yang Zi, Ying Zhang, Jun Wu et al.· Stem Cells International· 0 citations
SIRPG is identified as an immune-related prognostic hub and context-dependent tumor-cell regulator associated with apoptosis, immune communication and spatial microenvironmental organization in HNSCC.
Jiaqi Tang, Yu-Lun He, Yuqi Wang et al.· Frontiers in Immunology· 0 citations
A READ-derived response-associated gene signature for recurrence stratification and exploratory cross-cohort evaluation in additional colorectal cancer cohorts, while further exploring its association with treatment-response phenotypes.
Shuai Li, Jing-Xian Li, Xianyue Bu et al.· Human Cell· 0 citations
Prostate cancer recurrence reflects molecular and histological heterogeneity, yet the cellular states harboring recurrence-associated signals and their potential environmental modifiers remain incompletely understood.
We integrated single-cell RNA sequencing, bulk transcriptomes with recurrence annotation, quantitative histopathology, cross-cohort survival modeling, reverse network toxicology, molecular simulation, and cellular perturbation experiments.
Analysis of 36,025 cells from GSE141445 identified 14,464 malignant luminal epithelial cells. Scissor identified a recurrence-associated transcriptional state enriched for adhesion, migration, angiogenesis, and proliferation programs. H&E-derived features from 304 paired TCGA-PRAD cases captured variation in this transcriptional program and supported internal recurrence risk stratification. Cross-cohort modeling prioritized CDC20, ENSA, and PTTG1. Reverse toxicology further prioritized benzo[a]pyrene (BaP), and CDC20 showed the most favorable predicted BaP docking score. In PC-3 and DU145 cells, 10 nM BaP increased CDC20 expression, whereas CDC20 silencing attenuated BaP-associated proliferation, colony formation, wound closure, and migration.
These findings identify CDC20 as a recurrence-associated molecular node involved in BaP-responsive malignant biological phenotypes and provide a phenotype-anchored framework linking recurrence biology with environmental exposure-related tumor behavior.
Xu-Chao Dai, Wei Gu, Bo Yu et al.· Frontiers in Cell and Develo...· 0 citations
A seven-gene immune-related prognostic signature that, combined with clinicopathological parameters, provides a robust tool for individualized survival prediction and may guide precision management in CRC patients is developed and validated.