13 research outputs found

    Toward Pediatric T Lymphoblastic Lymphoma Stratification Based on Minimal Disseminated Disease and NOTCH1/FBXW7 Status

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    International audienceWhile outcome for pediatric T lymphoblastic lymphoma (T-LL) has improved with acute leukemia-type therapy, survival after relapse remains rare. Few prognostic markers have been identified: NOTCH1 and/or FBXW7 (N/F) mutations identify good prognosis T-LL and high-level minimal disseminated disease (MDD) is reported to be of poor prognosis. We evaluated MDD and/or MRD status by 8-color flow cytometry and/or digital droplet PCR in 82 pediatric T-LL treated according to the EURO-LB02 prednisone reference arm. Both techniques gave identical results for values ≥0.1%, allowing compilation. Unlike historical studies, an MDD threshold of 1% had no prognostic significance. The 54% (42/78) of patients with MDD ≥0.1% had a relatively favorable outcome (5-y overall survival [OS] 97.6% versus 80.6%, P = 0.015, 5-y event-free-survival [EFS] 95.2% versus 80.6%, P = 0.049). MDD lower than 0.1% had no impact in N/F mutated T-LL, but identified the N/F germline patient with a high risk of relapse. Combining oncogenetic and MDD status identified 86% of patients (n = 49) with an excellent outcome and 14% of N/F germline/MDD <0.1% patients (n = 8) with poor prognosis (5y-OS 95.9% versus 37.5%, P < 0.001; 5y-EFS 93.9% versus 37.5%, P < 0.001). If confirmed by prospective studies, MDD and N/F mutational status would allow identification of a subset of patients who merit consideration for alternative front-line treatment

    Predictive factors of positive circumferential resection margin after radiochemotherapy for rectal cancer: The French randomised trial ACCORD12/0405 PRODIGE 2

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    International audienceCircumferential resection margin (CRM) appears as a new powerful prognostic factor of survival after surgery for rectal cancer. We aimed to evaluate predictive factors of positive CRM following preoperative radiochemotherapy in a French trial. Patients with rectal cancer were randomised in long course preoperative radiotherapy 45 Gy plus capecitabine versus 50 Gy plus capecitabine and oxaliplatin. Mesorectal excision was performed 6 weeks after treatment. Impact of clinical, pathological and surgical variables on positive CRM (≤1 mm) were analysed by multivariate analysis. Of 565 randomised patients, CRM was recorded in 390 cases and was positive in 8% (30/390). Patients with 50 Gy plus capecitabine and oxaliplatin had a 6% rate of positive CRM while those treated by 45 Gy plus capecitabine had a 10% rate (p=0.128). Three independent predictive factors of positive CRM were identified: abdominoperineal resection (APR) (odds ratio OR=3.24; p=0.004), vascular tumour invasion (OR=2.78; p=0.026) and poor histological response (modified Dworak 0-2) (OR=9.01; p=0.003). Significant predictive factors of positive CRM are related to type of surgery, especially APR, and poor histological prognostic factors. Intensification of neoadjuvant radiochemotherapy does not seem to have a major role in this study

    Wholistic approach: Transcriptomic analysis and beyond using archival material for molecular diagnosis

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    International audienceMany neoplasms remain unclassified after histopathological examination, which requires further molecular analysis. To this regard, mesenchymal neoplasms are particularly challenging due to the combination of their rarity and the large number of subtypes, and many entities still lack robust diagnostic hallmarks. RNA transcriptomic profiles have proven to be a reliable basis for the classification of previously unclassified tumors and notably for mesenchymal neoplasms. Using exome-based RNA capture sequencing on more than 5000 samples of archival material (formalin-fixed, paraffin-embedded), the combination of expression profiles analyzes (including several clustering methods), fusion genes, and small nucleotide variations has been developed at the Centre Léon Bérard (CLB) in Lyon for the molecular diagnosis of challenging neoplasms and the discovery of new entities. The molecular basis of the technique, the protocol, and the bioinformatics algorithms used are described herein, as well as its advantages and limitations
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