HRD

Furthermore, emerging data from biomarker-driven clinical trials highlight the importance of molecular stratification in optimizing treatment outcomes. Integrating PI3K/AKT/mTOR inhibition with PARP blockade represents a promising strategy to expand the therapeutic reach of PARP inhibitors and improve clinical outcomes in ovarian cancer.

DUO-O met its primary PFS endpoints for first-line durvalumab plus carboplatin/paclitaxel and bevacizumab followed by durvalumab, bevacizumab plus olaparib maintenance versus carboplatin/paclitaxel and bevacizumab followed by bevacizumab in the non-tBRCAm HRD-positive and non-tBRCAm ITT populations. Further insight into long-term benefit is anticipated with additional follow-up.

We demonstrate that optimal efficacy requires biomarker-guided patient selection integrating genetic and TME features, precise sequencing, and a mechanistic understanding of drug-specific immunomodulatory effects. The integration of platform trial designs (I-SPY2, CheckMate-7FL) with composite biomarker algorithms represents a paradigm shift toward precision neoadjuvant immunotherapy, offering a conceptual framework for transforming outcomes in molecularly defined HR+ breast cancer subsets.

Patients were assigned to three arms: (A) PD-1 antibody plus gemcitabine and docetaxel; (B) PARP inhibitor combined with temozolomide; or (C) tinengotinib (TT-00420), a small-molecule aurora kinase inhibitor currently in clinical trials. This study demonstrated the feasibility of using genomic molecular subtyping to guide the precise treatment of osteosarcoma. We also revealed that the abnormal genomic and transcriptomic profiles caused by MYC amplification could be suppressed by tinengotinib.

This report highlights the potential for PARPi to be integrated into advanced melanoma treatment, particularly in HRD tumors and in combination with ICI and targeted therapies. Although limited by the small sample size, our findings support the rationale for ongoing clinical trials evaluating PARPi-based combinations and underscore the need for further studies to clarify the optimal sequencing and combinations of therapy.

The overexpression of C1orf50 characterizes an aggressive immunogenomic phenotype in ovarian cancer, distinguished by genomic instability, impaired DNA repair mechanisms, and extensive immunosuppression. These findings indicate that C1orf50 warrants consideration as a potential biomarker and a prospective target for therapeutic investigation. Furthermore, they advocate for the progression to prospective validation and functional studies to ascertain its clinical significance.

Furthermore, we demonstrate that combined inhibition of these factors with MSC778 induces synergistic killing of cancer cells. Together these data highlight FEN1 inhibition as an attractive precision oncology strategy either as monotherapy or as a combination therapy with a broad range of current and next generation DDR-targeting agents.

A small subgroup of advanced EC patients shows HRD positivity by gLOH or HRDsig, potentially identifying those most likely to benefit from PARP inhibitors. These tumors are typically endometrioid with TP53 mutations.

Biallelic loss of DNA damage repair genes, ATRX and/or DAXX, was associated with a high fraction of the genome altered in PanNETs, with pathogenic alterations affecting those genes also being associated with a homologous recombination deficiency signature. These findings highlight molecular mechanisms driving PanNET progression and underscore the need for further molecular characterization and tumor evolution studies to evaluate targeted therapies for such a challenging disease.

Notably, senaparib showed superior PFS efficacy compared to veliparib and niraparib. PARPi showed efficacy in improving PFS as maintenance therapy for newly diagnosed advanced OC, although no OS advantage was observed. PROSPERO (CRD420251020275).

Pattern-driven genomic features, including mutational signatures2, homologous recombination deficiency3, tumour mutational burden and tumour heterogeneity scores4, were associated with clinical outcomes, highlighting their potential utility as predictive biomarkers for clinical evaluation of treatments such as CDK4/6 and HER2 inhibitors, as well as adjuvant and neoadjuvant chemotherapy. These findings highlight the power of large-scale, clinically annotated whole-genome sequencing in advancing our understanding of how genomic alterations shape patient outcomes.

Our findings highlight the effectiveness of LP-WGS ctDNA CNA analysis as a promising approach for diagnosis and risk stratification of pediatric neuroblastic tumors, and for monitoring chemotherapy response. Particularly, ctDNA analysis is minimally invasive, rapid and cost-effective, which could bring additional benefits in pediatric practices.