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Biology subjects

Wikstrom, P.

Publications and source records attributed to Wikstrom, P..

2 recordsLinked to original sources

Fibrillarin shapes oncogenic protein pools and ribosomal composition in triple-negative breast cancer

Fibrillarin (FBL), a core component of the C/D box snoRNP complex, catalyzes 2-O-methylation (Nm) of ribosomal RNA (rRNA), influencing ribosome heterogeneity and oncogene translation. In triple-negative breast cancer (TNBC), FBL dysregulation creates an aberrant Nm signature. This study explores role of FBL in TNBC progression via translation-driven mechanisms. FBL knockdown impaired tumorigenic traits, induced metabolic stress, and reduced the translation efficiency of oncogenes, including metastasis-associated protein 1 (MTA1), interleukin-1 receptor-associated kinase 1 (IRAK1), and thymosin beta 10 (TMSB10). RiboMethSeq analysis revealed differential rRNA Nm site sensitivity to FBL depletion. Additionally, FBL knockdown lowered RPS28 protein levels, suggesting its misincorporation into ribosomes. Notably, silencing RPS28 also suppressed oncogenic traits and downregulated MTA1, IRAK1, and TMSB10, highlighting its role in FBL-mediated translation. These findings uncover a complex interplay between FBL, rRNA Nm modifications, and RPS28 in shaping oncogenic protein pools and ribosomal composition in TNBC. Targeting this pathway could offer novel therapeutic strategies for this aggressive cancer subtype.

molecular biology↗

Metabolic readouts of tumor instructed normal tissues (TINT) identify aggressive prostate cancer subgroups for tailored therapy

BackgroundProstate cancer (PC) diagnosis relies on histopathological examination of prostate biopsies, which is restricted by insufficient sampling of all tumors present. Including samples from non-PC but tumor instructed normal tissues (TINT) may increase the diagnostic power by exploring the adaptive responses in benign tissues near tumors. MethodsHere, we applied high-resolution magic angle spinning nuclear magnetic resonance (HR MAS NMR) to identify metabolomic biomarkers with high diagnostic value in benign prostate tissues near low/high-grade tumors. ResultsBenign samples near high-grade tumors (B ISUP 3+4) exhibit altered metabolic profiles compared to those close to low-grade tumors (B ISUP 1+2). The levels of six metabolites were significantly different between the two groups; myo-inositol, lysine, serine and combined signal of lysine/leucine/arginine were increased in benign samples near high-grade tumors (B ISUP 3+4) compared to near low-grade tumors (B ISUP 1+2), while levels of ethanolamine and lactate decreased. Additionally, we revealed metabolic differences in non-cancer tissues as a function of their distance to the nearest tumor. Eight metabolites (glutathione, glutamate, combined signal of glutamate/glutamine - glx, glycerol, inosine, ethanolamine, serine and arginine) significantly differentiated between benign tissue located close to the tumor (d [≤] 5 mm) compared to those far away (d [≥] 1 cm). ConclusionsOur HR MAS NMR-based approach identified metabolic signatures in prostate biopsies that reflect the response of benign tissues to the presence of nearby located tumors in the same prostate and confirmed the power of the TINT concept for improved PC diagnostics and understanding of tumor-tissue interactions.

cancer biology↗