Osteosarcoma (OS) patients exhibit poor overall survival, partly due to copy number variations (CNVs) resulting in dysregulated gene expression and therapeutic resistance. To identify actionable prognostic signatures of poor overall survival, we employed a systems biology approach using public databases to integrate CNVs, gene expression, and survival outcomes in pediatric, adolescent, and young adult OS patients. Chromosome 8 was a hotspot for poor prognostic signatures. The MYC-RAD21 copy number gain (8q24) correlated with increased gene expression and poor overall survival in 90% of the patients (n = 85). MYC and RAD21 play a role in replication-stress, which is a therapeutically actionable network. We prioritized replication-stress regulators, bromodomain and extra-terminal proteins (BETs), and CHK1, in order to test the hypothesis that the inhibition of BET + CHK1 in MYC-RAD21+ pediatric OS models would be efficacious and safe. We demonstrate that MYC-RAD21+ pediatric OS cell lines were sensitive to the inhibition of BET (BETi) and CHK1 (CHK1i) at clinically achievable concentrations. While the potentiation of CHK1i-mediated effects by BETi was BET-BRD4-dependent, MYC expression was BET-BRD4-independent. In MYC-RAD21+ pediatric OS xenografts, BETi + CHK1i significantly decreased tumor growth, increased survival, and was well tolerated. Therefore, targeting replication stress is a promising strategy to pursue as a therapeutic option for this devastating disease.

Establishment of clinically annotated, molecularly characterized, patient-derived xenografts (PDXs) from treatment-naïve and pretreated patients provides a platform to test precision genomics-guided therapies. An integrated multi-OMICS pipeline was developed to identify cancer-associated pathways and evaluate stability of molecular signatures in a panel of pediatric and AYA PDXs following serial passaging in mice. Original solid tumor samples and their corresponding PDXs were evaluated by whole-genome sequencing, RNA-seq, immunoblotting, pathway enrichment analyses, and the drug–gene interaction database to identify as well as cross-validate actionable targets in patients with sarcomas or Wilms tumors. While some divergence between original tumor and the respective PDX was evident, majority of alterations were not functionally impactful, and oncogenic pathway activation was maintained following serial passaging. CDK4/6 and BETs were prioritized as biomarkers of therapeutic response in osteosarcoma PDXs with pertinent molecular signatures. Inhibition of CDK4/6 or BETs decreased osteosarcoma PDX growth (two-way ANOVA, p < 0.05) confirming mechanistic involvement in growth. Linking patient treatment history with molecular and efficacy data in PDX will provide a strong rationale for targeted therapy and improve our understanding of which therapy is most beneficial in patients at diagnosis and in those already exposed to therapy.

The retinoblastoma (RB) protein was the first tumor suppressor discovered and has been extensively studied for its canonical role in cell-cycle regulation. However, RB has broader noncanonical roles in DNA damage repair, chromosomal stability, apoptosis control, lineage commitment, cell differentiation and broad transcriptional regulation. Historically, RB inactivation has been associated with tumorigenesis, as well as resistance to cyclin-dependent kinase 4/6 inhibitors (CDK4/6i), leading to its investigation as a potential predictive biomarker. However, clinical data have not demonstrated that RB function reliably predicts response to CDK4/6i consistently. These discrepancies highlight the need to reconsider RB’s role in therapeutic response, as RB loss can promote replication stress, induce chromosomal instability, and lead to transcriptional reprograming, potentially generating context-specific therapeutic vulnerabilities. In this review, we examine the multifaceted biology of RB and evaluate how its loss influences responses to chemotherapy and targeted therapies. We highlight emerging strategies that exploit RB-deficient states using rational monotherapy and combination approaches. Reframing RB dysfunction from a binary biomarker to a driver of exploitable cellular vulnerabilities may inform and expand precision oncology strategies for aggressive and treatment-resistant cancers.