Preoperative neoadjuvant targeted therapy remodels intra-tumoral heterogeneity of clear-cell renal cell carcinoma and ferroptosis inhibition induces resistance progression.

Neoadjuvant tyrosine kinase inhibitor (TKI) therapy is an important treatment option for advanced renal cell carcinoma (RCC). Many RCC patients may fail to respond or be resistant to TKI therapy. We aimed to explore the key mechanisms of neoadjuvant therapy résistance. We obtained tumor samples from matched pre-treatment biopsy and post-treatment surgical samples and performed single-cell RNA sequencing. Sunitinib-resistant ccRCC cell lines were established. Ferroptosis was detected by ferrous ion and lipid peroxidation levels. Tumor growth and resistance to Sunitinib was validated in vitro and vivo. Immunohistochemistry was used to validate the levels key genes and lipid peroxidation. Multi-center cohorts were included, including TCGA, ICGC, Checkmate-025 and IMmotion151 clinical trial. Survival analysis was performed to identify the associated clinical and genomic variables. Intratumoral heterogeneity was first described in the whole neoadjuvant management. The signature of endothelial cells was correlated with drug sensitivity and progression-free survival. Ferroptosis was shown to be the key biological program in malignant cell resistance. We observed tissue lipid peroxidation was negatively correlated with IL6 and tumor response. TKI-resistant cell line was established. SLC7A11 knockdown promoted cell growth and lipid peroxidation, increased the ferroptosis level, and suppressed the growth of tumor xenografts significantly (P < 0.01). IL6 could reverse the ferroptosis and malignant behavior caused by SLC7A11 (-) via JAK2/STAT3 pathway, which was rescued by the ferroptosis inducer Erastin. Our data indicate that ferroptosis is a novel strategy for advanced RCC treatment, which activated by IL6, providing a new idea for resistance to TKIs.

Molecular subtyping and characterization of clear cell renal cell carcinoma by tumor differentiation trajectories.

Previous bulk RNA sequencing or whole genome sequencing on clear cell renal cell carcinoma (ccRCC) subtyping mainly focused on ccRCC cell origin or the complex tumor microenvironment (TME). Based on the single-cell RNA sequencing (scRNA-seq) data of 11 primary ccRCC specimens, cancer stem-cell-like subsets could be differentiated into five trajectories, whereby we further classified ccRCC cells into three groups with diverse molecular features. These three ccRCC subgroups showed significantly different outcomes and potential targets to tyrosine kinase inhibitors (TKIs) or immune checkpoint inhibitors (ICIs). Tumor cells in three differentiation directions exhibited distinct interactions with other subsets in the ccRCC niches. The subtyping model was examined through immunohistochemistry staining in our ccRCC cohort and validated the same classification effect as the public patients. All these findings help gain a deeper understanding about the pathogenesis of ccRCC and provide useful clues for optimizing therapeutic schemes based on the molecular subtype analysis.

Single-cell RNA-seq integrated with multi-omics reveals SERPINE2 as a target for metastasis in advanced renal cell carcinoma.

Tumor growth, metastasis and therapeutic response are believed to be regulated by the tumor and its microenvironment (TME) in advanced renal cell carcinoma (RCC). However, the mechanisms underlying genomic, transcriptomic and epigenetic alternations in RCC progression have not been completely defined. In this study, single-cell RNA-sequencing (scRNA-seq) data were obtained from eight tissue samples of RCC patients, including two matched pairs of primary and metastatic sites (lymph nodes), along with Hi-C, transposable accessible chromatin by high-throughput (ATAC-seq) and RNA-sequencing (RNA-seq) between RCC (Caki-1) and human renal tubular epithelial cell line (HK-2). The identified target was verified in clinical tissue samples (microarray of 407 RCC patients, TMA-30 and TMA-2020), whose function was further validated by in vitro and in vivo experiments through knockdown or overexpression. We profiled transcriptomes of 30514 malignant cells, and 14762 non-malignant cells. Comprehensive multi-omics analysis revealed that malignant cells and TME played a key role in RCC. The expression programs of stromal cells and immune cells were consistent among the samples, whereas malignant cells expressed distinct programs associated with hypoxia, cell cycle, epithelial differentiation, and two different metastasis patterns. Comparison of the hierarchical structure showed that SERPINE2 was related to these NNMF expression programs, and at the same time targeted the switched compartment. SERPINE2 was highly expressed in RCC tissues and lowly expressed in para-tumor tissues or HK-2 cell line. SERPINE2 knockdown markedly suppressed RCC cell growth and invasion, while SERPINE2 overexpression dramatically promoted RCC cell metastasis both in vitro and in vivo. In addition, SERPINE2 could activate the epithelial-mesenchymal transition pathway. The above findings demonstrated that the role of distinct expression patterns of malignant cells and TME played a distinct role in RCC progression. SERPINE2 was identified as a potential therapeutic target for inhibiting metastasis in advanced RCC.

ENO2 affects the EMT process of renal cell carcinoma and participates in the regulation of the immune microenvironment.

Clear cell renal cell carcinoma (ccRCC) is a frequent malignant tumor of the kidney which has a dismal prognosis. At present, targeted therapies and immunotherapy have achieved significant results; however, the overall survival rate of patients with ccRCC remains unacceptably poor. It is therefore necessary to find novel therapeutic and diagnostic targets for ccRCC. It has been reported that enolase 2 (ENO2) is an oncogene, although its function in the immune microenvironment and in the growth of ccRCC has yet to be fully elucidated. The present study analyzed the data of patients with ccRCC both from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases, and from clinical samples obtained from Third Affiliated Hospital of the Second Military Medical University to investigate the role of ENO2 in the progression of ccRCC and the correlation between ENO2 and certain clinical features. It was found that the expression of ENO2 was elevated both in patients with ccRCC retrieved from the GEO and TCGA databases and in clinical ccRCC samples obtained from Third Affiliated Hospital of the Second Military Medical University. In addition, the prognosis of patients was poorer when ENO2 was highly expressed. Gene Ontology (GO) analysis and Gene Set Enrichment Analysis (GSEA) confirmed that ENO2 participated in the regulation of various pathways in ccRCC. In vitro experiments including Cell Counting Kit­8 cell proliferation assay, Transwell and Matrigel assays confirmed that ENO2 could promote the proliferation and migration of ccRCC cells. Furthermore, a number of immunosuppressive indicators were identified that positively correlated with ENO2 expression. In conclusion, the present study revealed that ENO2 expression promotes the proliferation, invasion and migration of ccRCC cells, and may serve as a novel predictor to evaluate prognosis and the efficacy of immune checkpoint blockade treatment for patients with ccRCC.

Screening and Identification of Key Biomarkers in Pancreatic Cancer: Evidence from Bioinformatic Analysis.

Pancreatic cancer (PC) whose mortality is comparable to morbidity is a highly fatal disease. Early approaches of diagnosis and treatment for PC are quite limited, so it is of great urgency to figure out the exact tumorigenesis and development mechanism of PC. To identify the related molecular markers of pancreatic oncogenesis, we downloaded three microarray datasets (GSE63111, GSE101448, and GSE107610) from Gene Expression Omnibus (GEO) database. The common differentially expressed genes (DEGs) among them were identified, and the corresponding function enrichment analyses were accomplished. The protein-protein interaction network was conducted by Search Tool for the Retrieval of Interacting Genes (STRING), and the corresponding module analysis was accomplished by Cytoscape. There were 55 DEGs found in total. The molecular function and biological processes (BP) of these DEGs mainly include cytokinesis, mitotic nuclear division, cell division, cell proliferation, microtubule-based movement, and mineral absorption. Among the 55 DEGs, 14 hub genes were further confirmed and it was concluded that they mainly function in mitotic cytokinesis, microtubule-based movement, mitotic chromosome condensation, and mitotic spindle assembly from the BP analysis. The survival analysis showed that all the 14 hub genes, especially nucleolar and spindle associated protein 1 and abnormal spindle microtubule assembly, may involve in the tumorigenesis and development of PC. And they might be used as new biomarkers for auxiliary diagnosis and potential targets for immunotherapy of PC.

Reciprocal Network between Cancer Stem-Like Cells and Macrophages Facilitates the Progression and Androgen Deprivation Therapy Resistance of Prostate Cancer.

Purpose: Cancer stem-like cells (CSC) contribute to the progression and androgen deprivation therapy (ADT) resistance of prostate cancer. As CSCs depend on their specific niche, including tumor-associated macrophages (TAM), elucidating the network between CSCs and TAMs may help to effectively inhibit the progression and ADT resistance of prostate cancer.Experimental Design: The underlying intracellular mechanism that sustains the stem-like characteristics of CSCs in prostate cancer was assessed via RNA sequencing, co-immunoprecipitation, chromatin immunoprecipitation, and other assays. A coculture system and cytokine antibody arrays were used to examine the interaction network between CSCs and TAMs. In addition, an orthotopic prostate cancer model was established to evaluate the in vivo effects of the combined targeting of CSCs and their interaction with TAMs on ADT resistance.Results: Autophagy-related gene 7 (ATG7) facilitated the transcription of OCT4 via ß-catenin, which binds to the OCT4 promoter, promoting CSC characteristics in prostate cancer, including self-renewal, tumor initiation, and drug resistance. In addition, CSCs remodeled their specific niche by educating monocytes/macrophages toward TAMs, and the CSC-educated TAMs reciprocally promoted the stem-like properties of CSCs, progression and ADT resistance of prostate cancer via IL6/STAT3. Furthermore, the combined targeting of CSCs and their interaction with TAMs by inhibiting ATG7/OCT4 and IL6 receptor effectively ameliorated ADT resistance in an orthotopic prostate cancer model.Conclusions: Targeting CSCs and their niche may prove to be a more powerful strategy than targeting CSCs alone, providing a rational approach to ameliorating ADT resistance in prostate cancer. Clin Cancer Res; 24(18); 4612-26. ©2018 AACR.

Blocking the Feedback Loop between Neuroendocrine Differentiation and Macrophages Improves the Therapeutic Effects of Enzalutamide (MDV3100) on Prostate Cancer.

Purpose: Androgen deprivation therapy (ADT), including enzalutamide, induces resistance in prostate cancer; ADT resistance is associated with neuroendocrine differentiation (NED) and tumor-associated macrophages (TAM). This study aimed to investigate the association between enzalutamide-induced NED and TAMs and its mechanism.Experimental Design: The association between enzalutamide-induced NED and TAMs was investigated by IHC using prostate cancer tissues, enzalutamide-resistant mouse xenografts, and a coculture system. The underlying mechanisms were assessed using in vitro cytokine antibody arrays, ELISAs, chromatin immunoprecipitation, and other methods. An orthotopic prostate cancer mouse model was established to evaluate the in vivo effects of combined IL6 receptor (IL6R) and high mobility group box 1 (HMGB1) inhibition on enzalutamide resistance.Results: High CD163 expression was observed in ADT-treated prostate cancer or castration-resistant prostate cancer (CRPC) tissues with high levels of neuron-specific enolase (NSE) and chromogranin A (CHGA) and in enzalutamide-resistant xenografts, indicating the crucial roles of NED and TAMs in enzalutamide resistance. Specifically, enzalutamide-induced HMGB1 expression facilitated TAM recruitment and polarization and drove NED via ß-catenin stabilization. HMGB1-activated TAMs secreted IL6 to augment enzalutamide-induced NED and directly promote HMGB1 transcription via STAT3. Finally, inhibition of the IL6/STAT3 pathway by tocilizumab combined with HMGB1 knockdown inhibited enzalutamide-induced resistance in an orthotopic prostate cancer mouse model.Conclusions: Enzalutamide elevates HMGB1 levels, which recruits and activates TAMs. Moreover, IL6 secreted by HMGB1-activated TAMs facilitates the enzalutamide-induced NED of prostate cancer, forming a positive feedback loop between NED in prostate cancer and TAMs. The combined inhibition of IL6R and HMGB1 may serve as a new treatment for enzalutamide resistance in patients with advanced or metastatic prostate cancer. Clin Cancer Res; 24(3); 708-23. ©2017 AACR.