Collaborating single-cell and bulk RNA sequencing for comprehensive characterization of the intratumor heterogeneity and prognostic model development for bladder cancer.

INTRODUCTION: Gaining a deeper insight into the single-cell RNA sequencing (scRNA-seq) results of bladder cancer (BLCA) provides a transcriptomic profiling of individual cancer cells, which may disclose the molecular mechanisms involved in BLCA carcinogenesis. METHODS: scRNA data were obtained from GSE169379 dataset. We used the InferCNV software to determine the copy number variant (CNV) with normal epithelial cells serving as the reference, and performed the pseudo-timing analysis on subsets of epithelial cell using Monocle3 software. Transcription factor analysis was conducted using the Dorothea software. Intercellular communication analysis was performed using the Liana software. Cox analysis and LASSO regression were applied to establish a prognostic model. RESULTS: We investigated the heterogeneity of tumors in four distinct cell types of BLCA cancer, namely immune cells, endothelial cells, epithelial cells, and fibroblasts. We evaluated the transcription factor activity of different immune cells in BLCA and identified significant enrichment of TCF7 and TBX21 in CD8+ T cells. Additionally, we identified two distinct subtypes of cancer-associated fibroblasts (CAFs), namely iCAFs and myoCAFs, which exhibited distinct communication patterns. Using sub-cluster and cell trajectory analyses, we identified different states of normal-to-malignant cell transformation in epithelial cells. TF analysis further revealed high activation of MYC and SOX2 in tumor cells. Finally, we identified five model genes (SLCO3A1, ANXA1, TENM3, EHBP1, LSAMP) for the development of a prognostic model, which demonstrated high effectiveness in stratifying patients across seven different cohorts. CONCLUSIONS: We have developed a prognostic model that has demonstrated significant efficacy in stratifying patients with BLCA.

Doxycycline sensitizes renal cell carcinoma to chemotherapy by preferentially inhibiting mitochondrial translation.

OBJECTIVES: The anti-cancer activity of doxycycline has been reported in many cancers but not renal cell carcinoma (RCC). This study aimed to determine the efficacy of doxycycline alone and in combination with paclitaxel and analyze the underlying mechanism in RCC. METHODS: Proliferation, colony formation and apoptosis assays were performed in RCC cell lines after drug treatments. An RCC xenograft mouse model was generated, and tumor growth was monitored. Mechanistic studies focused on mitochondrial translation and functions. RESULTS: Doxycycline at clinically achievable concentrations inhibited proliferation and colony formation and induced apoptosis in RCC cell lines. In normal kidney cells, doxycycline at the same concentrations either had no effect or was less effective. The combination index value demonstrated that doxycycline and paclitaxel were synergistic in vitro. Consistently, this combination therapy was significantly more effective than the monotherapy in RCC xenograft mice without causing significant toxicity. Mechanistic studies revealed that doxycycline acts on RCC cells via preferentially inhibiting mitochondrial DNA translation, thereby disrupting multiple mitochondrial complexes and impairing mitochondrial respiration. CONCLUSIONS: Doxycycline is a useful addition to the treatment strategy for RCC. Our work also highlights the therapeutic value of mitochondrial translation inhibition in sensitizing RCC to chemotherapy.

Inhibition of mitochondrial translation effectively sensitizes renal cell carcinoma to chemotherapy.

The functional importance of mitochondrial protein translation has been recently documented in the context of various cancers but not renal cell carcinoma (RCC). In lines with these efforts, our work demonstrates that mitochondrial translation inhibition by tigecycline or depletion of EF-Tu mitochondrial translation factor effectively targets RCC and significantly sensitizes RCC response to chemotherapy. We show that antibiotic tigecycline inhibits multiple biological functions of RCC, including growth, colony formation and survival. It also significantly enhances in vitro and in vivo efficacy of paclitaxel in RCC. Tigecycline preferentially inhibits translation of mitochondrial DNA-encoded proteins, activities of mitochondrial respiratory complexes that contain mitochondrially encoded subunits. As a consequence of mitochondrial respiratory chain inhibition, decreased mitochondrial respiration is observed in RCC cells exposed to tigecycline. In contrast, tigecycline is ineffective in RCC ρ0 cells that lack mitochondrial DNA and subsequent mitochondrial respiration, further confirm mitochondrial translation inhibition as the mechanism of tigecycline's action in RCC. Importantly, genetic inhibition of mitochondrial translation by EF-Tu knockdown reproduced the inhibitory effects of tigecycline. Finally, we show the association between mitochondrial translation inhibition and suppression of PI3K/Akt/mTOR signaling pathway. Our work used pharmacological and genetic strategies to demonstrate the important roles of mitochondrial translation in RCC and emphasize the therapeutic value of sensitizing RCC to chemotherapy.