The predominant forms of breast cancer (BC) are hormone receptor-positive (HR+) tumors characterized by the expression of estrogen receptors (ERs) and/or progesterone receptors (PRs). Patients with HR+ tumors can benefit from endocrine therapy (ET). Three types of ET are approved for the treatment of HR+ BCs and include selective ER modulators, aromatase inhibitors, and selective ER downregulators. ET is the mainstay of adjuvant treatment in the early setting and the backbone of the first-line treatment in an advanced setting; however, the emergence of acquired resistance can lead to cancer recurrence or progression. The mechanisms of ET resistance are often related to the occurrence of mutations in the ESR1 gene, which encodes the ER-alpha protein. As ESR1 mutations are hardly detectable at diagnosis but are present in 30% to 40% of advanced BC (ABC) after treatment, the timeline of testing is crucial. To manage this resistance, ESR1 testing has recently been recommended; in ER+ HER2− ABC and circulating cell-free DNA, so-called liquid biopsy appears to be the most convenient way to detect the emergence of ESR1 mutations. Technically, several options exist, including Next Generation Sequencing and ultra-sensitive PCR-based techniques. In this context, personalization of ET through the surveillance of ESR1 mutations in the plasma of HR+ BC patients throughout the disease course represents an innovative way to improve the standard of care.

Pancreatic ductal adenocarcinoma (PDAC) is one of the deadliest cancers. Therapeutic options for PDAC are primarily restricted to surgery in the early stages of the disease or chemotherapy in advanced disease. Only a subset of patients with germline defects in BRCA1/2 genes can potentially benefit from personalized therapy, with the PARP inhibitor olaparib serving as a maintenance treatment for metastatic disease. Although the role of radiotherapy in PDAC remains controversial, the use of radiosensitizers offers hope for improving cancer management. Previously, we have shown that damage-specific DNA binding protein 2 (DDB2) is a potential prognostic and predictive biomarker for chemotherapy response in PDAC. In this study, we investigated the function of DDB2 in radiotherapy response, with and without radiosensitization by olaparib in PDAC cells. Our findings demonstrated DDB2 resistance to radiation effects, thereby improving cell survival and enhancing the repair of ionizing radiation-induced DNA double-strand breaks. We observed that DDB2 expression enhances the cell cycle arrest in the G2 phase by phosphorylating Chk1 and Chk2 cell cycle checkpoints. Additionally, we identified a novel link between DDB2 and PARP1 in the context of radiotherapy, which enhances the expression and activity of PARP1. Our findings highlight the potential of low-DDB2 expression to potentiate the radiosensitization effect of olaparib in PDAC cells. Collectively, this study provides novel insights into the impacts of DDB2 in the radiotherapy response in PDAC, enabling its employment as a potential biomarker to predict resistance to radiation. Furthermore, DDB2 represents a significant step forward in precision radiotherapy by widening the scope of patients who can be benefiting from olaparib as a radiosensitizer. Hence, this research has the potential to enrich the limited use of radiotherapy in the care of patients with PDAC.

Homologous recombination deficiency (HRD) affects 50% of ovarian cancers (OC) and influences PARP inhibitors efficacy. While one-third of HRD tumours harbour a deleterious BRCA1/2 mutation, these mutations are not the sole cause of HRD. Promoter methylation of BRCA1 and RAD51C contributes to 19% and 2% of cases, respectively. A cohort of 224 ovarian cancer (OC) patients tested for HRD validated our droplet digital PCR (ddPCR) technique. DNA was extracted from FFPE tissue, and the Genomic Instability Index (GII) was assessed using the Sophia DDM HRD Solution (Sophia Genetics). BRCA1 and RAD51C promoter methylation was analysed by ddPCR following enzymatic conversion, with a 10% threshold for methylation classification. Homologous recombination (HR) status was assessed in 194 patients. A positive GII (>0) was identified in 77 cases (39.7%), with 24 (31.2%) harbouring a deleterious BRCA1/2 mutation, and 2 (2.6%) a RAD51C mutation. Methylation analysis revealed BRCA1 promoter methylation in 32 patients (41.6%) and RAD51C promoter methylation in 1 patient (1.3%), clarifying HRD status in 28 additional cases (36.3%). Our study confirms HRD extends beyond BRCA1/2 mutations, with promoter methylation playing a significant role in HRD detection. ddPCR effectively identified methylation-driven HRD, explaining deficiency in 36.4% additional patients with a positive GII score. These findings highlight the importance of incorporating methylation analysis into HRD testing to improve patient stratification for PARP inhibitor therapy.

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal forms of cancer, with a dismal survival rate. Therapeutic options are restricted in surgery for patients with resectable disease and in chemotherapy for those with unresectable disease. The potential benefits of radiotherapy (RT) or chemoradiotherapy (CRT) have been extensively investigated in both neoadjuvant and adjuvant settings in the management of patients with PDAC. Nevertheless, a substantial number of clinical trials have yielded conflicting findings, thereby rendering the impact of RT on patient survival and margin-negative (R0) resection inconclusive. A comprehensive examination of the historical evolution of RT in PDAC, encompassing the identification of both constraints and opportunities for advancement, is essential to establish RT as a promising therapeutic avenue for patients with PDAC. The aim of this review is to provide a synthesis of past clinical trials and future studies to elucidate the evolving role of RT in the management of PDAC as adjuvant and neoadjuvant CRT across different stages of the disease.

Diagnosis and treatment decisions of hormonal breast cancers (BC) are now guided by genomic mutations determination, combined into mutational signatures, and provide insight into the patients' genomic landscape. This work aims to compare genomic data and signatures extracted from tissue samples collected in the CICLADES study to existing cohorts. Ultimately, the goal is to prove the accuracy of smaller cohorts and provide new relevant data. DNA from patients of the CICLADES cohort was extracted, sequenced, and custom filtering was applied to the resulting files. Genomic data was pulled from 6 BC cohorts available on cBioPortal.com. In total, 2303 samples were analyzed. Mutational signatures were extracted and matched to known signatures of the Catalogue of Somatic Mutations in Cancer (COSMIC). Tumor Mutation Burden (TMB) and hypermutation were estimated and compared between samples. PIK3CA and TP53 represented the two genes highly mutated across all cohorts. TMB was similar between the CICLADES and CBSM groups, however the MSKCC population showed a significantly higher TMB than both. Nine signatures were extracted, with recurring Single Base Substitutions (SBS) signatures like SBS1, SBS2 and SBS5. The presence of APOBEC-specific signatures was concordant with cohorts presenting APOBEC enrichment. The mean number of mutations was significantly higher in enriched samples for each analyzed cohort. The use of comprehensive genomic profiling provided accurate evaluation of the TMB and extraction of signatures consistent with published literature. The genomic analysis of the tissue samples of the CICLADES cohort brings new and relevant data, comparable to results found in bigger cohorts.

Isocitrate dehydrogenase (IDH) variants can lead to the development and/or progression of various solid tumors and hematological malignancies. IDH testing can guide diagnosis, prognosis, and therapeutic choice and typically relies on NGS, IHC, or PCR-based assays. Here, we evaluated the analytical performance of the Idylla IDH1-2 mutation assay for IDH variant detection using 70 fixed samples from patients with solid tumors and 36 DNA extracts from patients with acute myeloid leukemias previously characterized by NGS +/− IHC. Idylla IDH1-2 mutation assay gave 98.1% of valid results with an overall agreement, sensitivity, and specificity of 97.1%, 96.2%, and 98.1%, respectively, compared to NGS. Using commercial DNA standards, the limit of detection of the assay was 1.6% and 0.5% for IDH1 R132H and IDH2 R172K variants, respectively. Based on these data, the Idylla IDH1-2 mutation assay represents a fast and reliable alternative to detect IDH hotspot variants in solid tumors and hematological malignancies using either fixed tissue sections or DNA extracts. Particular attention, however, is needed for the interpretation of cases with cycle of quantification values of the internal controls over 35, for which a variant with low allelic frequency could be missed due to low DNA quantity or quality.