bioRxiv Science⌕ Search

bioRxiv · 10.64898/2025.12.10.693445

Transcriptomic profiling of epigenetic regulators and metabolic reprogramming in human cholangiocarcinoma

Abstract

BackgroundEpigenetic alterations play an increasingly recognized role in carcinogenesis and in the development of resistance to anticancer therapies. Epigenetic enzymes (writers and erasers) and effectors (readers) are largely influenced by the availability of metabolites grenerated through one-carbon metabolism (OCM), the tricarboxylic acid (TCA) cycle, and acetyl-CoA synthesis (ACS). In this study we examined the expression of epigenetic and metabolic genes to investigate their interplay in cholangiocarcinoma (CCA). MethodWe examined 257 epigenetic genes (EpiGs), 96 metabolic genes (MGs), and 189 rate-limiting enzymes (RLEs) in transcriptomic data from iCCA, eCCA, CCA organoids, and normal bile ducts, alongside prognostic signatures. CRISPR-Cas9 DepMap data evaluated the impact of EpiGs and MGs on cell viability. HuCCT-1 iCCA cells were exposed to hypoxia (1% O2, 24 h) to assess EpiG responses. Transcriptomic deconvolution characterized EpiGs, MGs, and RLEs expression across four tumor microenvironment (TME) subtypes. Two mouse CCA models (Akt/TAZ, Akt/NICD) underwent RNA-seq, complemented by multi-omic profiling (transcriptomic, proteomic, metabolomic) in Akt/TAZ livers. ResultsSeveral EpiGs were upregulated in iCCA and eCCA, including writers (DNMT1, EZH2, SUZ12), readers (CBX3, PHF20L1, SMARCA4), and erasers (HDAC1, HDAC3, KDM5C). MGs in OCM, TCA, and ACS pathways were dysregulated (up: GART, IDH2, TYMS; down: ALDH1L1, MAT1A, SHMT1). Integrated analyses identified 27 EpiGs and 8 MGs whose overexpression predicted poor survival. Subsets of EpiGs, MGs, and RLEs were linked to proliferative, high-recurrence iCCA subclasses. CRISPR screens highlighted 50 EpiGs and 23 MGs essential for CCA viability. Tumor microenvironment (TME) analyses revealed distinct immune-stromal subclasses with coherent epigenetic-metabolic signatures. In CCA cells, hypoxia induced epigenetic programs that mirrored those in CCA patients. Transcriptomic analyses in human and multi-omic analyses (transcriptomic, metabolomic, and proteomic studies) in mouse CCA livers highlighted rewiring of nucleotide, one-carbon, lipid, and mitochondrial pathways, with evidence of metabolic-epigenetic crosstalk. ConclusionEpiGs and MGs are markedly altered in both human and experimental CCA, with several changes particularly enriched in aggressive molecular subclasses associated with poor prognosis. We observed substantial rewiring of epigenetic cofactor-related MG expression in CCAs. Functional assays validated new targets among EpiGs (e.g. CBX3, CHD4, DEK, SMARCA4, and TRIM28) and MGs (TYMS and IDH2) in CCA.

Source connections

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Lopez-Pascual, A., Elurbide, J., Valbuena-Goiricelaya, E., Latasa, M. U., Anaya, E., Adan-Villaescusa, E., Castello-Uribe, B., Martinez-Perez, L. A., Uriarte, I., Arechederra, M., Ciordia, S. J., Corrales, F. J., Frankova, S., Sticova, E., Fabian, O., Colyn, L., Inacio, P., Arnes-Benito, R., Bayo, J., Huch, M., Berasain, C., Fernandez-Barrena, M. G., Avila, M. A.. 2025-12-13. Transcriptomic profiling of epigenetic regulators and metabolic reprogramming in human cholangiocarcinoma. https://doi.org/10.64898/2025.12.10.693445

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

An Oxidative Stress-Associated Seven-Gene Prognostic Signature in Lung Adenocarcinoma: Integrative Transcriptomic Analysis Across Public Cohorts

Lung adenocarcinoma is molecularly heterogeneous, and oxidative-stress programs can support either tumor restraint or tumor adaptation depending on cellular context. This study integrated public lung adenocarcinoma transcriptomic cohorts to identify oxidative-stress-associated expression features and evaluate their prognostic relevance. Expression profiles from The Cancer Genome Atlas, Genotype-Tissue Expression project, and GEO series GSE31210, GSE40791, and GSE30219 were analyzed. Differential expression, weighted gene co-expression network analysis, functional enrichment, univariable Cox regression, and least absolute shrinkage and selection operator Cox modeling were combined to derive a risk signature. Immune-cell enrichment, gene set enrichment analysis, gene set variation analysis, and pan-cancer analyses were used for biological characterization. A total of 1,305 genes differed between tumor and control samples, including 498 upregulated and 807 downregulated genes. Intersection of differentially expressed genes, the oxidative-stress-associated co-expression module, and the oxidative-stress gene set yielded 44 genes enriched in responses to reactive oxygen species and hydrogen peroxide, antioxidant and peroxidase activities, focal adhesion, Rap1 signaling, and PI3K-Akt signaling. A seven-gene signature comprising FBLN5, HBB, FYN, HGF, TFAP2A, PLIN5, and F2RL1 stratified the 523-sample training cohort and the 207-sample internal validation cohort into groups with different overall survival. Time-dependent areas under the receiver operating characteristic curve at 1, 3, and 5 years were 0.677, 0.622, and 0.649 in training and 0.613, 0.691, and 0.706 in internal validation. In the 85-case GSE30219 external cohort, corresponding values were 0.588, 0.661, and 0.631; survival separation followed the expected direction but did not reach statistical significance (log-rank P = 0.100). Seventeen immune-cell signatures differed between risk groups, while high-risk tumors were enriched for cell-cycle, DNA-replication, mismatch-repair, glycolytic, E2F, G2M-checkpoint, MYC-target, and mTORC1-related programs. The signature therefore captures reproducible oxidative-stress-associated transcriptional variation with moderate prognostic discrimination. Its clinical utility requires prospective evaluation, complete clinical adjustment, and experimental validation.

cancer biology↗

Glucocorticoids reprogram human AML leukemic stem cells to promote elimination through differentiation and apoptosis

Acute myeloid leukemia (AML) is sustained by leukemic stem cells (LSCs) that can evade standard therapies and drive relapse. Targeting LSC-specific vulnerabilities is therefore essential for durable remission. Here we demonstrate that glucocorticoids (GCs) induce potent depletion of AML LSCs by promoting terminal differentiation and apoptosis. This effect is observable within 24 hours and is conserved across multiple LSC-enriched models and primary patient samples. Mechanistically, we establish that GC targeting of LSCs is mediated through the glucocorticoid receptor (NR3C1), with higher receptor binding affinity correlating with greater anti-LSC activity. We performed structure activity relationship (SAR) modeling of 24 corticosteroids and identified key features, including bulky D-ring substituents, associated with enhanced anti-LSC efficacy. Bulk and single-cell transcriptomic data revealed that GC treatment of LSCs suppresses NF-{kappa}B inflammatory signaling and disrupts stemness and quiescence programs while inducing transcriptional signatures associated with transient proliferation, metabolic stress, and terminal differentiation. Notably, GC sensitivity was associated with the expression of pre-existing inflammatory or extracellular matrix (ECM) signatures. Finally, we found that FLT3 ligand (FLT3L) is required for GC-induced proliferation of CD34- blasts but not for LSC depletion, suggesting that FLT3L levels may serve as a biomarker for blast expansion in patients receiving GC therapy. These findings support the clinical development of GC-based therapies in AML and provide mechanistic insights into how GCs target inflammatory and metabolic programs required for LSC survival.

cancer biology↗

HrasG12V induces follicular thyroid cancer with attenuated MAPK activation and increased latency compared to KrasG12D

RAS mutations are found in nearly 50% of follicular thyroid cancers (FTCs), frequently accompanied by secondary mutations in the P13K/AKT pathway as tumors advance to more poorly differentiated states. To examine the role that oncogenic Hras plays in thyroid tumor initiation and progression, we developed murine models with thyroid-specific expression of HrasG12V combined with heterozygous or homozygous loss of Pten. Loss of Pten cooperated with HrasG12V in a dose-dependent manner to induce the development of follicular thyroid carcinoma and poorly-differentiated thyroid carcinoma. Histopathology of HrasG12V/PtenHom tumors closely resembled those from the established KrasG12D/PtenHom model, but tumor onset was significantly delayed in HrasG12V/PtenHom mice. At three weeks of age, downregulation of MAPK pathway inhibitors was observed in KrasG12D/PtenHom thyroids, accompanied by increased MAPK pathway activation compared to HrasG12V/PtenHom mice. Furthermore, amplification of oncogenic Ras was found in HrasG12V tumors and cell lines, while allelic balance was maintained in KrasG12D models. These studies demonstrate clear phenotypic differences between mutant Hras and Kras in the thyroid and suggest that delayed MAPK activation may mediate the increased tumor latency observed in the HrasG12V/PtenHom model.

cancer biology↗