Background: Immune checkpoint blockade (ICB) inhibits tumor immune escape and has significantly advanced tumor therapy. However, ICB benefits only a minority of patients treated and may lead to many immune-related adverse events. Therefore, identifying factors that can predict treatment outcomes, enhance synergy with ICB, and mitigate immune-related adverse events is urgently needed.
Main text: Tertiary lymphoid structures (TLS) are ectopic lymphoid tissues that arise from the tumor periphery. They have been found to be associated with better prognosis and improved clinical outcomes after ICB therapy. TLS may help address the problems associated with ICB. The multiple mechanisms of action between TLS and ICB remain unknown. This paper described potential mechanisms of interaction between the two and explored their potential applications.
Background: Osteosarcoma is the most prevalent cancer-related bone disease diagnosed in the pediatric age group. The rapid development of metastatic lesions and resistance to chemotherapy remain major mechanisms responsible for the failure of treatments and poor outcome. We established that the expression level of Cysteine-rich protein 61 (CYR61/CCN1) correlates to tumor neo-vascularization and dissemination in preclinical and clinical osteosarcoma samples. The aim of this study was to investigate the CYR61-related mechanisms leading to the acquisition of metastatic capacity by osteosarcoma cells.
Methods: Transcriptomic data issued from RNA-seq were subjected to pathways and gene set enrichment analyses. Murine and human cell lines with overexpressed or downregulated C-terminal Binding protein 2 (CtBP2) were established by lentiviral transduction. Cell metabolic activity was assessed by Seahorse XF Analyzer; cell replication rate by BrdU incorporation assay; stemness by clonogenicity assay and RT-qPCR detection of markers; cell migration by wound healing assay and Boyden chambers system; cell invasion using Matrigel coated Boyden chambers or fluorescence microscopy of Matrigel embedded 3D spheroids. FFPE samples derived from syngeneic tumor cells grafts into BALB/c mice were analyzed by IHC. The protein interactome was predicted in silico using the STRING database.
Results: GSEA revealed that CYR61 modulate the transcription process. The in vitro expression level of CtBP2 and Cyr61 correlated positively in a panel of osteosarcoma cell lines. In silico analysis of protein-protein interaction network revealed a link with stemness markers. Variations in CtBP2 expression levels influenced stemness markers expression levels, cell clonogenicity, cell migration, Matrix Metalloproteinase activity and cell invasion. Surprisingly, while induction of CtBP2 expression under CYR61 correlated with the metastatic dissemination process in vivo, it occurred only at the invasive front of tumors. Hypoxic conditions in central tumor region interfered with CtBP2 induction of expression.
Conclusions: Our findings identify for the first time that CtBP2 acts as a required critical inducing factor in the CYR61-related metastatic progression of osteosarcoma, by favoring cell migration and invasiveness. Moreover, we demonstrate that while CtBP2 is a downstream transcriptional target of CYR61 signaling cascade, it occurs only under non-hypoxic conditions. The present study suggests that CtBP2 may represent a potential pivotal target for therapeutic management of metastases spreading in osteosarcoma.
Background: The effect of m5C modification on oncogene mRNAs has been well studied, while little is known about its influence on mRNAs of tumor suppressor genes (TSGs). Early studies showed PTEN, a key TSG, undergoes alternative splicing (AS) in cancers, however, the underlying regulatory mechanism remains elusive.
Methods: We analyzed tissue microarrays and transcriptomic data derived from gastric cancer, with an emphasis on RNA splicing and m5C regulators. To unravel the role of NONO in GC, we employed RNA sequencing, RNA-Bis-Seq, RNA immunoprecipitation, RNA in situ hybridization, and Minigene reporter assay with NONO knockdown cells. The clinical relevance was validated using CDX models and human tissue microarrays.
Results: Analysis of publicly available datasets and immunohistochemistry assay of tissue microarrays containing 40 GC tissues showed NONO was upregulated in GC and contributed to poor prognosis. In vitro and in vivo experiments indicated a positive regulatory role of NONO in terms of cell proliferation, migration, and invasion of GC. Mechanically, NONO interacted directly with PTEN pre-mRNA and recruited the RNA m5C methyltransferase NSUN2 via RNA-recognition motif (RRM) domains, altering the mRNA methylation pattern across PTEN pre-mRNA. The oncogenic role of NONO/NSUN2/PTEN axis in GC progression was further confirmed with pre-clinical experiments and clinical data.
Conclusion: Here, we revealed NONO-regulated AS of PTEN mRNA in an m5C-dependent manner, resulting in the downregulation of PTEN expression in gastric cancer (GC).This study unveils a novel regulatory mechanism of tumor suppressor gene inactivation mediated by m5C modification and related alternative splicing in cancer.
The chemotherapy resistance is an awkward challenge in management of bladder cancer (BC). Cancer organoid model is an effective preclinical tumor model that could faithfully represent clinical manifestations and simulate the biological processes of chemoresistance. Recent studies have revealed that cancer stem cells (CSCs) play a significant role in the development of chemoresistance in cancer. Exosomes act as essential intercellular messengers and participate in controlling the conversion of distinct cell characteristics, including chemoresistance. However, the role of exosome-transmitted lncRNAs in bladder cancer chemoresistance has rarely been reported. In this study, cancer organoid models were developed from urothelial carcinomas to explore the pathophysiology mechanism of BC chemoresistance, and RNA-seq was performed to screen for lncRNAs involved in chemoresistance of BC. We found chemotherapy enriches stem-like cells in BC, and significant upregulation of Lung Cancer Associated Transcript 1 (LUCAT1) occurs in chemotherapy-resistant organoids and correlated with chemotherapy response. Further experimental results demonstrated that LUCAT1 promotes chemoresistance in bladder cancer by enhancing the stemness phenotype of BC cells in vivo and in vitro. Moreover, exosomes derived from bladder cancer stem cells can enhance the stemness phenotype and chemoresistance of BC cells by delivering LUCAT1. Mechanistically, LUCAT1 could significantly enhance the mRNA stability of HMGA1 via binding to IGF2BP2 in an m6A-dependent manner. The study demonstrates an important role for exosome-transmitted LUCAT1 in chemoresistance and LUCAT1 has the potential to function as both a diagnostic biomarker and therapeutic target for BC.
Circulating tumour DNA (ctDNA) represents an increasingly important biomarker for the screening, diagnosis and management of patients in clinical practice in advanced/metastatic disease across multiple cancer types. In this context, ctDNA-based comprehensive genomic profiling is now available for patient management decisions, and several ctDNA-based companion diagnostic assays have been approved by regulatory agencies. However, although the assessment of ctDNA levels in Phase II-III drug development is now gathering momentum, it remains somewhat surprisingly limited in the early Phase I phases in light of the potential opportunities provided by such analysis. In this perspective review, we investigate the potential and hurdles of applying ctDNA testing for the inclusion and monitoring of patients in phase 1 clinical trials. This will enable more informed decisions regarding patient inclusion, dose optimization, and proof-of-mechanism of drug biological activity and molecular response, thereby supporting the evolving oncology drug development paradigm. Furthermore, we will highlight the use of cost-efficient, agnostic genome-wide techniques (such as low-pass whole genome sequencing and fragmentomics) and methylation-based methods to facilitate a more systematic integration of ctDNA in early clinical trial settings.
Background: Chromosomal instability (CIN) is involved in about 70% of colorectal cancers (CRCs) and is associated with poor prognosis and drug resistance. From a clinical perspective, a better knowledge of these tumour's biology will help to guide therapeutic strategies more effectively.
Methods: We used high-density chromosomal microarray analysis to evaluate CIN level of patient-derived organoids (PDOs) and their original mCRC tissues. We integrated the RNA-seq and mass spectrometry-based proteomics data from PDOs in a functional interaction network to identify the significantly dysregulated processes in CIN. This was followed by a proteome-wGII Pearson correlation analysis and an in silico validation of main findings using functional genomic databases and patient-tissues datasets to prioritize the high-confidence CIN features.
Results: By applying the weighted Genome Instability Index (wGII) to identify CIN, we classified PDOs and demonstrated a good correlation with tissues. Multi-omics analysis showed that our organoids recapitulated genomic, transcriptomic and proteomic CIN features of independent tissues cohorts. Thanks to proteotranscriptomics, we uncovered significant associations between mitochondrial metabolism and epithelial-mesenchymal transition in CIN CRC PDOs. Correlating PDOs wGII with protein abundance, we identified a subset of proteins significantly correlated with CIN. Co-localisation analysis in PDOs strengthened the putative role of IPO7 and YAP, and, through in silico analysis, we found that some of the targets give significant dependencies in cell lines with CIN compatible status.
Conclusions: We first demonstrated that PDO models are a faithful reflection of CIN tissues at the genetic and phenotypic level. Our new findings prioritize a subset of genes and molecular processes putatively required to cope with the burden on cellular fitness imposed by CIN and associated with disease aggressiveness.
Background: In non-small cell lung cancer (NSCLC), the rapid advancement of predictive genetic testing of tumors by identifying specific pathogenic driver variants has significantly improved treatment guidance. However, immune checkpoint blockade (ICB) is typically administered to patients with tumors in the absence of such driver variants. Since only about 30% of patients will respond to ICB treatment, identifying novel genetic biomarkers of clinical response is crucial and will improve treatment decisions. This prospective clinical study aims to combine molecular biology, advanced bioinformatics and clinical data on response to treatment with ICB from a prospective cohort of NSCLC patients to identify single or combination of genetic variants in the tumor that can serve as predictive biomarkers of clinical response.
Methods: In this prospective bi-center clinical study, we performed next-generation sequencing (NGS) of 597 cancer-associated genes in a prospective cohort of 49 patients as the final cohort analyzed, with stage III or IV NSCLC, followed by establishment of an in-house developed bioinformatics-based molecular classification method that integrates, interprets and evaluates data from multiple databases and variant prediction tools. Overall survival (OS) and progression-free survival (PFS) were analyzed for selected candidate genes and variants identified using our novel methodology including molecular tools, databases and clinical information.
Results: Our novel molecular interpretation and classification method identified high impact variants in frequently altered genes KRAS, LRP1B, and TP53. Analysis of these genes as single predictive biomarkers in ICB-treated patients revealed that the presence of likely pathogenic variants and variants of unclear significance in LRP1B was associated with improved OS (p = 0.041). Importantly, further analysis of variant combinations in the tumor showed that co-occurrence of KRAS and LRP1B variants significantly improved OS (p = 0.003) and merged PFS (p = 0.008). Notably, the triple combination of variants in KRAS, LRP1B, and TP53 positively impacted both OS (p = 0.026) and merged PFS (p = 0.003).
Conclusions: This study suggests that combination of the LRP1B and KRAS variants identified through our novel molecular classification scheme leads to better outcomes following ICB treatment in NSCLC. The addition of TP53 improves the outcome even further. To our knowledge, this is the first report indicating that harboring a combination of KRAS, LRP1B, and TP53 variants can significantly enhance the response to ICB, suggesting a novel predictive biomarker combination for NSCLC patients.
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