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International audience; 5548 Background: Ovarian cancer is the leading cause of death by gynecological cancer. Complete surgery remains one of the main prognostic factors. Laparoscopic exploration is mandatory to assess surgical resectability at diagnosis or after neoadjuvant chemotherapy. However, there is no clinical or biological marker that can correctly predict resectability and may be able to avoid a second laparoscopic exploration for initially unresectable diseases. Our aim was to assess circulating tumor DNA (ctDNA) value as a predictive non-invasive marker of evolution towards resectability for patients with epithelial ovarian cancer receiving first-line chemotherapy. Methods: We explored in this work one of the secondary objectives of the CIDOC study (NCT03302884). CIDOC is a multicenter prospective study aiming to explore ctDNA value as early marker of disease relapse after first-line treatment for epithelial ovarian cancer. Patients with mucinous histology or early stages not requiring chemotherapy are excluded. Plasma samples are collected at diagnosis, during neoadjuvant chemotherapy, and during follow-up. After DNA extraction, panel-based next generation sequencing is performed on both tumor samples and germline DNA, and somatic mutations of interest are selected for ctDNA monitoring. ctDNA analyses are conducted using droplet digital PCR (BioRad QX200) by measuring the variant allele fraction (VAF) of previously identified mutations. Results: This intermediary analysis has included 47 patients diagnosed between March 2017 and December 2019. Median age was 69 years old (48 – 84). Most of the patients had advanced disease (89.4% stage FIGO III or IV), serous histology (94.8%), and high grade tumor (92.3%). Most of the patients underwent complete interval cytoreductive surgery (76.3% vs 17.4% complete upfront surgery). Most of the tumors had TP53 mutations (85.1%), following by alterations involving DNA repair genes (38.3%). Median cell-free DNA concentration at baseline was 0.38 ng/µL (0 – 12.8). ctDNA was identified in 92.1% of patients at baseline with a median VAF of 1.84% (0 – 42.52%). ctDNA VAF was correlated to the peritoneal dissemination ( p= 0.039) assessed with the peritoneal cancer index. ctDNA clearance after preoperative chemotherapy tended to be correlated to achievement of complete interval surgery for patients receiving neoadjuvant chemotherapy ( p= 0.108). Conclusions: ctDNA may be a promising non-invasive marker to assess peritoneal cancer spreading and to predict surgical resectability after neoadjuvant chemotherapy. If confirmed in larger populations, this may enable to avoid additional surgical explorations for patients who remain ctDNA positive after chemotherapy. Clinical trial information: NCT03302884.

International audience; Soft tissue sarcomas (STSs) are aggressive tumors with few efficient systemic therapies. Poly(ADP-ribose) polymerase-1 (PARP1) inhibitors represent an emerging therapeutic option in tumors with genomic instability. The genomics of STSs is complex in more than half of cases, suggesting a high level of inherent DNA damage and genomic instability. Thus, STSs could be efficiently targeted with PARP inhibitors. Promising preclinical results have been reported, but few data are available regarding PARP1 expression in clinical samples. We examined PARP1 mRNA expression in 1464 clinical samples of STS, including 1432 primary tumors and 32 relapses, and searched for correlations with clinicopathological features, including metastasis-free survival (MFS). Expression was heterogeneous across the samples, not different between primary and secondary tumors, and was correlated to PARP1 DNA copy number. In the 1432 primary tumors, the 'PARP1-high' samples were associated with younger patients, more frequent locations at the extremities, superficial trunk and head and neck, more leiomyosarcomas and other STSs and less liposarcomas and myxofibrosarcomas, more grade 3, more high-risk CINSARC tumors, and more 'chromosomically instable' tumors. They were associated with shorter MFS, independently of other significant prognostic features, including the CINSARC signature. We found a strong involvement of genes overexpressed in the 'PARP1-high' samples in cell cycle, DNA replication, and DNA repair. PARP1 expression refines the prediction of MFS in STSs, and similar expression exists in secondary and primary tumors, supporting the development of PARP1 inhibitors.

Additional file 1. PERMED-01 protocol. The protocol of PERMED-01 trial.

Additional file 4: Supplementary Figures. Contains four Supplementary Figures showing the cancer types profiled and further NGA and aCGH results.

Additional file 2: Supplementary methods. Contains additional methods regarding the trial design, the genome analyses, the molecular precision oncology report and molecular tumor board, and the statistical analyses.

International audience; To heal otherwise in oncology has become an imperative of Public Health and an economic imperative in France. Patients can therefore receive live most of their care outside of hospital with more ambulatory care. This ambulatory shift will benefit from the digital revolution and the development of digital health or e-health. Cancer research will also benefit with Big Data and artificial intelligence, which gather and analyze a huge amount of data. In this synthesis, we describe the different e-health tools and their potential impacts in oncology, at the levels of education and information of patients and caregivers, prevention, screening and diagnosis, treatment, follow-up, and research. A few randomized studies have already demonstrated clinical benefits. Large Big Data projects such as ConSoRe and Health Data Hub have been launched in France. We also discuss the issues and limitations of "cancer outside the hospital walls and e-health" from the point of view of patients, health care professionals, health facilities and government. This new organization will have to provide remote support "outside the walls" with care and follow-up of quality, continuous and prolonged in total safety and equity. Ongoing and future randomized clinical trials will need to definitively demonstrate areas of interest, advantages and drawbacks not only for patients, but also for caregivers, health facilities and governments.; Soigner autrement en Cancérologie est devenu un impératif de Santé Publique et un impératif économique en France. Aujourd’hui, les patients peuvent vivre l’essentiel de leurs soins hors des murs de l’hôpital avec une prise en charge de plus en plus ambulatoire. Ce virage ambulatoire va bénéficier de la révolution numérique et du développement de la santé numérique ou e-santé. La recherche va également en bénéficier avec le Big Data et l’intelligence artificielle qui collectent en réseau et analysent une masse de données considérable. Dans cette Synthèse, nous décrivons les différents outils d’e-santé et leurs impacts potentiels en Cancérologie aux niveaux de l’éducation et l’information des patients et soignants, la prévention, le dépistage et le diagnostic, le suivi sous traitement, la surveillance et la recherche. Quelques études randomisées ont déjà démontré le bénéfice clinique. Des gros projets de Big Data tels que ConSoRe et Health Data Hub ont été mis en place en France. Nous discutons les enjeux et les limites du « cancer hors les murs et e-santé » du point de vue des patients, des professionnels de la santé, des établissements de santé et des pouvoirs publics. Cette nouvelle organisation devra permettre un accompagnement à distance « hors des murs » assurant soins et suivi de qualité, continus et prolongés en toute sécurité et équité. Les essais cliniques randomisés en cours et futurs devront démontrer de manière définitive les domaines d’intérêt, les avantages et inconvénients non seulement pour les patients, mais également pour les soignants, les établissements de santé et les pouvoirs publics.

The association between pancreatic ductal adenocarcinoma (PDAC) location (head vs. Body/Tail (B/T)) and clinical outcome remains controversial. We collected clinicopathological and gene expression data from 249 resected PDAC samples from public data sets, and we compared data between 208 head and 41 B/T samples. The 2-year overall survival (OS) was better for the head than for the B/T PDACs (44 vs. 27%, p = 0.043), especially when comparing tumors with similar TNM classification (T3/4N0M0: 67% vs. 17%, p = 0.002) or from the same molecular class (squamous subtype: 31% vs. 0%, p &lt, 0.0001). Bailey&rsquo, s molecular subtypes were differentially distributed within the two groups, with the immunogenic subtype being underrepresented in the &ldquo, B/T&rdquo, group (p = 0.005). Uni- and multivariate analyses indicated that PDAC anatomic location was an independent prognostic factor. Finally, the supervised analysis identified 334 genes differentially expressed. Genes upregulated in the &ldquo, head&rdquo, group suggested lymphocyte activation and pancreas exocrine functions. Genes upregulated in the &ldquo, group were related to keratinocyte differentiation, in line with the enrichment for squamous phenotype. We identified a robust gene expression signature (GES) associated with B/T PDAC location, suggesting that head and B/T PDAC are different. This GES could serve as an indicator for differential therapeutic management based on PDAC location.

The development of immune checkpoints inhibitors represents one of the major recent advances in oncology. Monoclonal antibodies directed against the programmed cell death protein 1 (PD-1) or its ligand (PD-L1) provides durable disease control, particularly in melanoma, lung, kidney, bladder and head and neck cancers. The purpose of this review is to synthesize current data on the expression of PD-L1 in breast cancer and on the preliminary clinical results of PD-1/PD-L1 inhibitors in breast cancer patients. In breast cancer, PD-L1 expression is heterogeneous and is generally associated with the presence of tumor-infiltrating lymphocytes as well as the presence of poor-prognosis factors, such as young age, high grade, ER-negativity, PR-negativity, and HER-2 overexpression, high proliferative index, and aggressive molecular subtypes (triple negative, basal-like, HER-2-overexpressing). Its prognostic value remains controversial when assessed with immunohistochemistry, whereas it seems favorable in triple-negative cancers when assessed at the mRNA level. Early clinical trials with PD-1/PD-L1 inhibitors in breast cancer have shown efficacy in terms of tumor response and/or disease control in refractory metastatic breast cancers, notably in the triple-negative subtype. Many trials are currently underway, both in the metastatic and neo-adjuvant setting. A crucial issue is identification of biomarkers predictive of response to PD-1/PD-L1 inhibitors.