- Research Article
- 10.1016/j.esmorw.2025.100317
120P In development: Fully automatic treatment benefit prediction in advanced colorectal cancer patients
- Nov 01, 2025
- ESMO Real World Data and Digital Oncology
- J.h.j Wolters + 11 more +11
Publications from 2021 to 2026
Showing 10 of 26 papers
120P In development: Fully automatic treatment benefit prediction in advanced colorectal cancer patients
The pathway alteration load is a pan-cancer determinant of outcome of targeted therapies: results from the Drug Rediscovery Protocol (DRUP).
Five latent factors underlie response to immunotherapy
Only a subset of patients treated with immune checkpoint inhibitors (CPIs) respond to the treatment, and distinguishing responders from non-responders is a major challenge. Many proposed biomarkers of CPI response and survival probably represent alternative measurements of the same aspects of the tumor, its microenvironment or the host. Thus, we currently ignore how many truly independent biomarkers there are. With an unbiased analysis of genomics, transcriptomics and clinical data of a cohort of patients with metastatic tumors (n = 479), we discovered five orthogonal latent factors: tumor mutation burden, T cell effective infiltration, transforming growth factor-beta activity in the microenvironment, prior treatment and tumor proliferative potential. Their association with CPI response and survival was observed across all tumor types and validated across six independent cohorts (n = 1,491). These five latent factors constitute a frame of reference to organize current and future knowledge on biomarkers of CPI response and survival.
Read more76P Improving access to whole genome sequencing for patients with cancer of unknown primary using formalin-fixed paraffin embedded tissues and cell-free DNA
The Innate Immune Landscape of dMMR/MSI Cancers Predicts the Outcome of Nivolumab Treatment: Results from the Drug Rediscovery Protocol.
The treatment efficacy of nivolumab was evaluated in patients with advanced, treatment-refractory solid mismatch repair deficiency/microsatellite-instable (dMMR/MSI) tumors, and in-depth biomarker analyses were performed to inform precision immunotherapy approaches. Patients with dMMR/MSI tumors who exhausted standard-of-care treatment options were enrolled in the Drug Rediscovery Protocol, a pan-cancer clinical trial that treats patients with cancer based on their tumor molecular profile with off-label anticancer drugs (NCT02925234). Patients received nivolumab (four cycles of 240 mg every 2 weeks, thereafter 480 mg every 4 weeks). The primary endpoint was clinical benefit (CB: objective response or stable disease ≥16 weeks). Whole-genome sequencing and RNA sequencing were performed on pretreatment tumor biopsies. A total of 130 evaluable patients were enrolled with 16 different cancer types. CB was observed in 62% [95% confidence interval (CI), 53-70], with an objective response in 45% (95% CI, 36-54). After a median follow-up of 14.5 months (95% CI, 13-19), the median progression-free survival was 18 months (95% CI, 9-not reached), and the median overall survival was not reached. Whereas CB was not, or only weakly, associated with markers of adaptive immune cell infiltration, CB was strongly associated with expression of a broad set of innate immune receptors/ligands. This clearly contrasted findings in melanoma, in which markers of adaptive immunity dominated the biomarker landscape. Nivolumab proved highly effective in advanced dMMR/MSI tumors. Expression of key innate immune receptors/ligands was the main predictor of a good treatment outcome, contrasting findings in melanoma and strengthening the rationale for tumor type-specific biomarkers for guiding immunotherapy.
Read moreESMO Recommendations on clinical reporting of genomic test results for solid cancers
Characterization of discordance between mismatch repair deficiency and microsatellite instability testing may prevent inappropriate treatment with immunotherapy.
In the Drug Rediscovery Protocol (DRUP), patients with cancer are treated based on their tumor molecular profile with approved targeted and immunotherapies outside the labeled indication. Importantly, patients undergo a tumor biopsy for whole-genome sequencing (WGS) which allows for a WGS-based evaluation of routine diagnostics. Notably, we observed that not all biopsies of patients with dMMR/MSI-positive tumors as determined by routine diagnostics were classified as microsatellite-unstable by subsequent WGS. Therefore, we aimed to evaluate the discordance rate between routine dMMR/MSI diagnostics and WGS and to further characterize discordant cases. We assessed patients enrolled in DRUP with dMMR/MSI-positive tumors identified by routine diagnostics, who were treated with immune checkpoint blockade (ICB) and for whom WGS data were available. Patient and tumor characteristics, study treatment outcomes, and material from routine care were retrieved from the patient medical records and via Palga (the Dutch Pathology Registry), and were compared with WGS results. Initially, discordance between routine dMMR/MSI diagnostics and WGS was observed in 13 patients (13/121; 11%). The majority of these patients did not benefit from ICB (11/13; 85%). After further characterization, we found that in six patients (5%) discordance was caused by dMMR tumorsthat did not harbor an MSI molecular phenotype by WGS. In six patients (5%), discordance was false due to the presence of multiple primary tumors (n = 3, 2%) and misdiagnosis of dMMR status by immunohistochemistry (n = 3, 2%). In one patient (1%), the exact underlying cause of discordance could not be identified. Thus, in this group of patients limited to those initially diagnosed with dMMR/MSI tumors by current routine diagnostics, the true assay-based discordance rate between routine dMMR/MSI-positive diagnostics and WGS was 5%. To prevent inappropriate ICB treatment, clinicians and pathologists should be aware of the risk of multiple primary tumors and the limitations of different tests. © 2024 The Pathological Society of Great Britain and Ireland.
Read moreThe 1+Million Genomes Minimal Dataset for Cancer.
An immunogenetic basis for lung cancer risk.
Cancer risk is influenced by inherited mutations, DNA replication errors, and environmental factors. However, the influence of genetic variation in immunosurveillance on cancer risk is not well understood. Leveraging population-level data from the UK Biobank and FinnGen, we show that heterozygosity at the human leukocyte antigen (HLA)-II loci is associated with reduced lung cancer risk in smokers. Fine-mapping implicated amino acid heterozygosity in the HLA-II peptide binding groove in reduced lung cancer risk, and single-cell analyses showed that smoking drives enrichment of proinflammatory lung macrophages and HLA-II+ epithelial cells. In lung cancer, widespread loss of HLA-II heterozygosity (LOH) favored loss of alleles with larger neopeptide repertoires. Thus, our findings nominate genetic variation in immunosurveillance as a critical risk factor for lung cancer.
Read moreEXO1 protects BRCA1-deficient cells against toxic DNA lesions