Biomedical subjects

G Curigliano

Publications and source records attributed to G Curigliano.

3 recordsLinked to original sources

PubMed2026

Outcomes of elacestrant in patients with ER-positive, HER2-negative, ESR1-mutated metastatic breast cancer who received prior endocrine therapy and cyclin-dependent kinase inhibitor in a real-world setting.

BACKGROUND: Real-world data analyses show durable benefits with elacestrant, with or without prior treatment with cyclin-dependent kinase 4/6 inhibitor (CDK4/6i). This cohort focused on patients with ER-positive/HER2-negative estrogen receptor 1 (ESR1)-mutated metastatic breast cancer (mBC) treated with elacestrant after at least one line of endocrine therapy (ET) combined with CDK4/6i (N = 281). PATIENTS AND METHODS: Claims data from the Komodo Research Dataset linked with Foundation Medicine clinical-genomics data were used. Primary outcome was median time-to-next-treatment (mTTNT). RESULTS: In patients with ER-positive/HER2-negative ESR1-mutated mBC who received one to two prior lines of ET + CDK4/6i (n = 108), mTTNT with elacestrant was 8.2 months [95% confidence interval (CI) 6.0-12.2]. In patients who received one to two prior lines of ET + CDK4/6i for ≥12 months (n = 85), mTTNT was 9.0 months (95% CI 7.7-13.7), including an mTTNT of 12.2 months (95% CI 9.0-not reached) in those who received one prior line of ET (n = 31). In patients with liver and/or lung metastasis (n = 169), mTTNT was 6.9 months (95% CI 5.8-8.3), whereas it was 7.4 months (95% CI 5.6-12.9) in patients with brain metastasis (n = 68). In patients with coexisting ESR1- and phosphoinositide 3-kinase-pathway-mutated tumors (n = 115), mTTNT was 6.1 months (95% CI 5.0-8.1). CONCLUSIONS: Elacestrant showed durable benefits in patients with ER-positive/HER2-negative ESR1-mutated mBC previously exposed to at least one line of ET + CDK4/6i, reinforcing the role of elacestrant as a potential first-choice option for patients with endocrine-sensitive tumors.

ESR1 mutation↗

PubMed2026

Liquid biopsy: a new window on the BRCA genes.

The Breast Cancer Susceptibility Gene (BRCA)-associated tumors represent a constantly evolving and intriguing scenario in oncology, in which the availability of novel systemic treatment, mainly including the poly (ADP-ribose) polymerase (PARP) inhibitors, has enabled an improved survival benefit in clinical subgroups. The expanding regulatory approvals of PARP inhibitors have inevitably reshaped the clinical indications for BRCA testing, moving the BRCA1/2 profiling from the traditional and preventive workflows to therapeutic paths. Despite advances in technology and treatment, substantial limitations remain in current genetic and genomic tools for the detection of deleterious BRCA1/2 variants. Germline and tumor tissue testing provide only a snapshot of a patient's disease, failing to capture the dynamic and longitudinal aspects of tumor clonal evolution. In this scenario, liquid biopsy (LB) profiling of BRCA1/2 genes, primarily as circulating tumor DNA, represents a highly active area of research potentially affecting many aspects of cancer screening, diagnosis, and monitoring in individuals who are carriers of BRCA1/2 deleterious variants. Beyond the attractive potential to surrogate the tumor tissue testing, to overcome the cancer spatial and temporal heterogeneity, and to monitor the tumor mutational profile over time, accurately detecting all clinically relevant BRCA genetic variants and epigenetic modifications using LB remains technically challenging.

BRCA1/2↗

PubMed2026

Antibody-drug conjugates in selected solid tumours: a position statement update based on findings from the third workshop held by the ETOP IBCSG Partners Foundation.

The European Thoracic Oncology Platform (ETOP) International Breast Cancer Study Group (IBCSG) Partners Foundation initiated a series of workshops for experts to review current evidence and offer recommendations to guide future antibody-drug conjugate (ADC) research. Here, we summarise key findings from the third workshop, which included experts in various solid tumours, basic/translational research scientists and pharmaceutical industry representatives. Recent positive phase III trial data have further incorporated ADCs into the standard of care [e.g. lung: sacituzumab tirumotecan; breast: trastuzumab deruxtecan (T-DXd), sacituzumab govitecan, datopotamab deruxtecan; muscle-invasive bladder cancer: enfortumab vedotin; ovarian cancer: mirvetuximab soravastine; cervical cancer: tisotumab vedotin]. Thus, research priorities must be tailored according to tumour type, potentially focussing initially on settings where ADCs could replace chemotherapy. Many phase III ADC trials have been initiated based on positive phase I data and although these trials are larger than those conducted historically, prespecified criteria (e.g. patient numbers and magnitude of efficacy) should be met to justify proceeding directly to phase III. Importantly, although several ADCs have been successfully developed without mandatory biomarker selection, biomarker-driven ADC development enables rational patient selection, as illustrated by multiple ADCs (e.g. T-DXd, mirvetuximab soravtansine and telisotuzumab vedotin). The identification, development and validation of predictive biomarkers are therefore essential, particularly given several critical nuances, including the algorithms used to assess biomarker status and the type of specimen analysed, all of which may be influenced by temporal and spatial heterogeneity. Additional ADC research priorities include the optimisation of ADC constructs to enhance efficacy/tolerability and the identification of reliable ADC targets, including work to elucidate attributes of already-identified targets. Finally, considering the vast amount of ADC-related data being generated, artificial intelligence could be leveraged to analyse combined datasets and generate composite biomarkers, including tumour histology, optimal target expression thresholds, molecular alterations and activated pathways affecting payload activity and target function, to accelerate research.

Humans↗