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Search: WFRF:(Ciccarelli O)

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1.
  • Niemi, MEK, et al. (author)
  • 2021
  • swepub:Mat__t
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  • Mourikis, TP, et al. (author)
  • Patient-specific cancer genes contribute to recurrently perturbed pathways and establish therapeutic vulnerabilities in esophageal adenocarcinoma
  • 2019
  • In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 10:1, s. 3101-
  • Journal article (peer-reviewed)abstract
    • The identification of cancer-promoting genetic alterations is challenging particularly in highly unstable and heterogeneous cancers, such as esophageal adenocarcinoma (EAC). Here we describe a machine learning algorithm to identify cancer genes in individual patients considering all types of damaging alterations simultaneously. Analysing 261 EACs from the OCCAMS Consortium, we discover helper genes that, alongside well-known drivers, promote cancer. We confirm the robustness of our approach in 107 additional EACs. Unlike recurrent alterations of known drivers, these cancer helper genes are rare or patient-specific. However, they converge towards perturbations of well-known cancer processes. Recurrence of the same process perturbations, rather than individual genes, divides EACs into six clusters differing in their molecular and clinical features. Experimentally mimicking the alterations of predicted helper genes in cancer and pre-cancer cells validates their contribution to disease progression, while reverting their alterations reveals EAC acquired dependencies that can be exploited in therapy.
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  • Turkington, RC, et al. (author)
  • Immune activation by DNA damage predicts response to chemotherapy and survival in oesophageal adenocarcinoma
  • 2019
  • In: Gut. - : BMJ. - 1468-3288 .- 0017-5749. ; 68:11, s. 1918-1927
  • Journal article (peer-reviewed)abstract
    • Current strategies to guide selection of neoadjuvant therapy in oesophageal adenocarcinoma (OAC) are inadequate. We assessed the ability of a DNA damage immune response (DDIR) assay to predict response following neoadjuvant chemotherapy in OAC.DesignTranscriptional profiling of 273 formalin-fixed paraffin-embedded prechemotherapy endoscopic OAC biopsies was performed. All patients were treated with platinum-based neoadjuvant chemotherapy and resection between 2003 and 2014 at four centres in the Oesophageal Cancer Clinical and Molecular Stratification consortium. CD8 and programmed death ligand 1 (PD-L1) immunohistochemical staining was assessed in matched resection specimens from 126 cases. Kaplan-Meier and Cox proportional hazards regression analysis were applied according to DDIR status for recurrence-free survival (RFS) and overall survival (OS).ResultsA total of 66 OAC samples (24%) were DDIR positive with the remaining 207 samples (76%) being DDIR negative. DDIR assay positivity was associated with improved RFS (HR: 0.61; 95% CI 0.38 to 0.98; p=0.042) and OS (HR: 0.52; 95% CI 0.31 to 0.88; p=0.015) following multivariate analysis. DDIR-positive patients had a higher pathological response rate (p=0.033), lower nodal burden (p=0.026) and reduced circumferential margin involvement (p=0.007). No difference in OS was observed according to DDIR status in an independent surgery-alone dataset.DDIR-positive OAC tumours were also associated with the presence of CD8+ lymphocytes (intratumoural: p<0.001; stromal: p=0.026) as well as PD-L1 expression (intratumoural: p=0.047; stromal: p=0.025).ConclusionThe DDIR assay is strongly predictive of benefit from DNA-damaging neoadjuvant chemotherapy followed by surgical resection and is associated with a proinflammatory microenvironment in OAC.
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  • Barchetta, I., et al. (author)
  • Association between systemic leptin and neurotensin concentration in adult individuals with and without type 2 diabetes mellitus
  • 2018
  • In: Journal of Endocrinological Investigation. - : Springer Science and Business Media LLC. - 0391-4097 .- 1720-8386. ; 41:10, s. 1159-1163
  • Journal article (peer-reviewed)abstract
    • Purpose: Leptin is an adipokine which regulates appetite and energy balance through a mechanism partially mediated by neurotensin (NT) in central nervous system. Besides acting as a neurotransmitter, NT is expressed in human intestine where it promotes fat absorption and its circulating levels associate with obesity, type 2 diabetes mellitus (T2DM) and cardiovascular disease. Whether a relation exists between circulating leptin and NT levels has not been investigated yet. The aim of this study was to test the hypothesis of an association between plasma leptin and NT concentration in adults with or without T2DM. Methods: We recruited a population of 72 subjects (M/F: 39/33; age: 49.5 ± 10.6 years; BMI: 26.5 ± 4.7 kg/m2) including individuals with T2DM (n = 32) referring to our Diabetes Outpatient Clinics, Sapienza University of Rome, and healthy controls. Study participants underwent metabolic characterization; plasma leptin was measured by MILLIPLEX, Luminex, and proneurotensin (proNT), a stable precursor of NT, by chemiluminometric sandwich immunoassay. Results: Circulating median (25°–75°) leptin levels were 2.75 (1.27–4.93) ng/mL and did not differ between T2DM and non-diabetic subjects. Leptin concentration directly correlated with proNT (r = 0.41; p = 0.015); higher leptin levels were also associated with age, male gender, obesity, higher HOMA-IR, systolic blood pressure and C-reactive protein. Belonging to the highest pro-NT quartile correlated with greater leptin levels independent of age, gender and other confounders (r2 = 0.82, p = 0.02). Conclusions: Circulating leptin is associated with higher proNT levels independent of diabetes, obesity and metabolic syndrome components; besides its effects on central leptin signaling, NT may influence energy balance by modulating circulating leptin concentration likely through a mechanism involving gut fat absorption.
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  • He, AN, et al. (author)
  • Association between early treatment of multiple sclerosis and patient-reported outcomes: a nationwide observational cohort study
  • 2023
  • In: Journal of neurology, neurosurgery, and psychiatry. - : BMJ. - 1468-330X .- 0022-3050. ; 94:4, s. 284-289
  • Journal article (peer-reviewed)abstract
    • Timing of disease-modifying therapy affects clinical disability in multiple sclerosis, but it is not known whether patient reported outcomes are also affected. This study investigates the relationship between treatment timing and patient-reported symptoms and health-related quality of life.MethodsThis was a nationwide observational cohort study of adults with relapsing multiple sclerosis, with disease onset between 2001 and 2016, and commenced on disease-modifying treatment within 4 years from disease onset. Patients commencing treatment within 0–2 years were compared with patients commencing treatment at 2–4 years. Indication bias was mitigated by propensity matching. Outcomes were patient-reported symptoms and health-related quality of life as measured by the Multiple Sclerosis Impact Scale (MSIS-29) and EuroQol-5 Dimensions-3 Level (EQ-5D). The follow-up period was 4–10 years from disease onset.ResultsThere were 2648 patients (69% female, median age 32.8) eligible for matching. Mean follow-up time was 3.7 years. Based on 780 matched patients, each year of treatment delay was associated with a worse MSIS physical score by 2.75 points (95% CI 1.29 to 4.20), and worse MSIS psychological score by 2.02 points (95% CI 0.03 to 3.78), in the adjusted models.Among 690 matched patients, earlier treatment start was not associated with EQ-5D score during the follow-up.ConclusionsEarlier commencement of disease-modifying treatment was associated with better patient-reported physical symptoms when measured using a disease-specific metric; however, general quality of life was not affected. This indicates that other factors may inform patients’ overall quality of life.
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  • Lai, Q, et al. (author)
  • The role of the comprehensive complication index for the prediction of survival after liver transplantation
  • 2021
  • In: Updates in surgery. - : Springer Science and Business Media LLC. - 2038-3312 .- 2038-131X. ; 73:1, s. 209-221
  • Journal article (peer-reviewed)abstract
    • In the last years, several scoring systems based on pre- and post-transplant parameters have been developed to predict early post-LT graft function. However, some of them showed poor diagnostic abilities. This study aims to evaluate the role of the comprehensive complication index (CCI) as a useful scoring system for accurately predicting 90-day and 1-year graft loss after liver transplantation. A training set (n = 1262) and a validation set (n = 520) were obtained. The study was registered at https://www.ClinicalTrials.gov (ID: NCT03723317). CCI exhibited the best diagnostic performance for 90 days in the training (AUC = 0.94; p < 0.001) and Validation Sets (AUC = 0.77; p < 0.001) when compared to the BAR, D-MELD, MELD, and EAD scores. The cut-off value of 47.3 (third quartile) showed a diagnostic odds ratio of 48.3 and 7.0 in the two sets, respectively. As for 1-year graft loss, CCI showed good performances in the training (AUC = 0.88; p < 0.001) and validation sets (AUC = 0.75; p < 0.001). The threshold of 47.3 showed a diagnostic odds ratio of 21.0 and 5.4 in the two sets, respectively. All the other tested scores always showed AUCs < 0.70 in both the sets. CCI showed a good stratification ability in terms of graft loss rates in both the sets (log-rank p < 0.001). In the patients exceeding the CCI ninth decile, 1-year graft survival rates were only 0.7% and 23.1% in training and validation sets, respectively. CCI shows a very good diagnostic power for 90-day and 1-year graft loss in different sets of patients, indicating better accuracy with respect to other pre- and post-LT scores.Clinical Trial Notification: NCT03723317.
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  • Marschall, Tobias, et al. (author)
  • Computational pan-genomics : status, promises and challenges
  • 2018
  • In: Briefings in Bioinformatics. - : Oxford University Press (OUP). - 1467-5463 .- 1477-4054. ; 19:1, s. 118-135
  • Journal article (peer-reviewed)abstract
    • Many disciplines, from human genetics and oncology to plant breeding, microbiology and virology, commonly face the challenge of analyzing rapidly increasing numbers of genomes. In case of Homo sapiens, the number of sequenced genomes will approach hundreds of thousands in the next few years. Simply scaling up established bioinformatics pipelines will not be sufficient for leveraging the full potential of such rich genomic data sets. Instead, novel, qualitatively different computational methods and paradigms are needed. We will witness the rapid extension of computational pan-genomics, a new sub-area of research in computational biology. In this article, we generalize existing definitions and understand a pan-genome as any collection of genomic sequences to be analyzed jointly or to be used as a reference. We examine already available approaches to construct and use pan-genomes, discuss the potential benefits of future technologies and methodologies and review open challenges from the vantage point of the above-mentioned biological disciplines. As a prominent example for a computational paradigm shift, we particularly highlight the transition from the representation of reference genomes as strings to representations as graphs. We outline how this and other challenges from different application domains translate into common computational problems, point out relevant bioinformatics techniques and identify open problems in computer science. With this review, we aim to increase awareness that a joint approach to computational pan-genomics can help address many of the problems currently faced in various domains.
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  • Williams, T., et al. (author)
  • The prognostic significance of early blood neurofilament light chain concentration and magnetic resonance imaging variables in relapse-onset multiple sclerosis
  • 2022
  • In: Brain and Behavior. - : Wiley. - 2162-3279. ; 12:9
  • Journal article (peer-reviewed)abstract
    • Background Improved prognostication remains vital in multiple sclerosis to inform personalized treatment approaches. Blood neurofilament light (bNfL) is a promising prognostic biomarker, but to what extent it provides additional information, independent of established MRI metrics, is yet to be established. Methods We obtained all available bNfL data for 133 patients from a longitudinal observational cohort study. Patients were dichotomized into good or poor outcome groups based upon clinical and cognitive assessments performed 15 years after a clinically isolated syndrome. We performed longitudinal modeling of early NfL and MRI variables to examine differences between outcome groups. Results The bNfL dataset was incomplete, with one to three (mean 1.5) samples available per participant. Within 3 months of onset, bNfL was similar between groups. The bNfL concentration subsequently decreased in those with a good outcome, and remained persistently elevated in those with a poor outcome. By year 5, NfL in the poor outcome group was approximately double that of those with a good outcome (14.58 [10.40-18.77] vs. 7.71 [6.39-9.04] pg/ml, respectively). Differences were reduced after adjustment for longitudinal changes in T2LV, but trends persisted for a greater rate of increase in NfL in those with a poor outcome, independent of T2LV. Conclusions This analysis requires replication in cohorts with more complete bNfL datasets, but suggests that persistently elevated blood NfL may be more common in patients with a poor long-term outcome. Persistent elevation of blood NfL may provide additional prognostic information not wholly accounted for by standard monitoring techniques.
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