3,615 results on '"A Arpino"'
Search Results
2. Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
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Arpino, Gabriel, Liu, Xiaoqi, Gontarek, Julia, and Venkataramanan, Ramji
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Statistics - Machine Learning ,Computer Science - Machine Learning ,Mathematics - Statistics Theory - Abstract
We consider the problem of localizing change points in a generalized linear model (GLM), a model that covers many widely studied problems in statistical learning including linear, logistic, and rectified linear regression. We propose a novel and computationally efficient Approximate Message Passing (AMP) algorithm for estimating both the signals and the change point locations, and rigorously characterize its performance in the high-dimensional limit where the number of parameters $p$ is proportional to the number of samples $n$. This characterization is in terms of a state evolution recursion, which allows us to precisely compute performance measures such as the asymptotic Hausdorff error of our change point estimates, and allows us to tailor the algorithm to take advantage of any prior structural information on the signals and change points. Moreover, we show how our AMP iterates can be used to efficiently compute a Bayesian posterior distribution over the change point locations in the high-dimensional limit. We validate our theory via numerical experiments, and demonstrate the favorable performance of our estimators on both synthetic and real data in the settings of linear, logistic, and rectified linear regression., Comment: 43 pages, 9 figures. A preliminary version of this paper appeared in ICML 2024
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- 2024
3. Exploring a Novel Approach to Spare Classic Chemotherapy in HER2-Low, ER-Positive Breast Cancer Based on Trastuzumab Deruxtecan Combined with Endocrine Therapy
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Scafuri, Luca, Buonerba, Carlo, Di Lauro, Vincenzo, Tortora, Vincenzo, Cascella, Marco, Liguori, Luigi, Sciarra, Antonella, Sabbatino, Francesco, Diana, Anna, Marra, Antonio, Tarantino, Paolo, Trapani, Dario, Giuliano, Mario, Arpino, Grazia, Curigliano, Giuseppe, and Di Lorenzo, Giuseppe
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- 2024
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4. The Early Access and the Potential Cost Savings by the Compassionate Use of Onco-haematological Drugs: Results from the Italian Study Compass-O
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Dell’Anno, Irene, Dondi, Leonardo, Esposito, Immacolata, Mascolo, Annamaria, Capuano, Annalisa, de Marchi, Giulia, Cristinziano, Adriano, Tarantino, Domenico, Pani, Marcello, Masini, Carla, Donati, Caterina, Rossin, Elisabetta, Serafini, Antonio, Bagaglini, Gabriele, Bonanni, Gabriella, Gregori, Tommaso, Cavaliere, Arturo, Matocci, Roberta, D’Arpino, Alessandro, Martini, Nello, and Piccinni, Carlo
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- 2024
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5. Gender inequalities in social club participation in Europe: the role of women’s empowerment at the country level
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Solé-Auró, Aïda and Arpino, Bruno
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- 2024
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6. Multilevel mixtures of latent trait analyzers for clustering multi-layer bipartite networks
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Failli, Dalila, Arpino, Bruno, and Marino, Maria Francesca
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Statistics - Methodology - Abstract
Within network data analysis, bipartite networks represent a particular type of network where relationships occur between two disjoint sets of nodes, formally called sending and receiving nodes. In this context, sending nodes may be organized into layers on the basis of some defined characteristics, resulting in a special case of multilayer bipartite network, where each layer includes a specific set of sending nodes. To perform a clustering of sending nodes in multi-layer bipartite network, we extend the Mixture of Latent Trait Analyzers (MLTA), also taking into account the influence of concomitant variables on clustering formation and the multi-layer structure of the data. To this aim, a multilevel approach offers a useful methodological tool to properly account for the hierarchical structure of the data and for the unobserved sources of heterogeneity at multiple levels. A simulation study is conducted to test the performance of the proposal in terms of parameters' and clustering recovery. Furthermore, the model is applied to the European Social Survey data (ESS) to i) perform a clustering of individuals (sending nodes) based on their digital skills (receiving nodes); ii) understand how socio-economic and demographic characteristics influence the individual digitalization level; iii) account for the multilevel structure of the data; iv) obtain a clustering of countries in terms of the base-line attitude to digital technologies of their residents., Comment: A version of the manuscript is in production at Multivariate Behavioral Research
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- 2023
7. A finite mixture approach for the analysis of digital skills in Finland, Italy and Bulgaria: the role of socio-economic factors
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Failli, Dalila, Arpino, Bruno, and Marino, Maria Francesca
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Statistics - Applications - Abstract
The digital divide is the gap among population sub-groups in accessing and/or using digital technologies. For instance, older people show a lower propensity to have a broadband connection, use the Internet, and adopt new technologies than the younger ones. Motivated by the analysis of the heterogeneity in the use of digital technologies, we build a bipartite network concerning the presence of various digital skills in individuals from three different European countries: Finland, Italy, and Bulgaria. Bipartite networks provide a useful structure for representing relationships between two disjoint sets of nodes, formally called sending and receiving nodes. The goal is to perform a clustering of individuals (sending nodes) based on their digital skills (receiving nodes) for each country. In this regard, we employ a Mixture of Latent Trait Analyzers (MLTA) accounting for concomitant variables, which allows us to (i) cluster individuals according to their individual profile; (ii) analyze how socio-economic and demographic characteristics, as well as intergenerational ties, influence individual digitalization. Results show that the type of digitalization substantially depends on age, income and level of education, while the presence of children in the household seems to play an important role in the digitalization process in Italy and Finland only., Comment: A version of the manuscript is in production at Multivariate Behavioral Research
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- 2023
8. Enhanced Weyl semimetal signature in Co3Sn2S2 Kagome ferromagnet by chlorine doping
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He, Bin, Yao, Mengyu, Pan, Yu, Arpino, Kathryn E., Chen, Dong, Serrano-Sanchez, Federico M., Ju, Sailong, Shi, Ming, Sun, Yan, and Felser, Claudia
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- 2024
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9. Clinico-pathological predictors of radiologic complete response to first-line anti-HER2 therapy in metastatic breast cancer
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Cucciniello, Linda, Blondeaux, Eva, Bighin, Claudia, Gasparro, Simona, Russo, Stefania, Dri, Arianna, Pugliese, Palma, Fontana, Andrea, Cortesi, Enrico, Ferzi, Antonella, Riccardi, Ferdinando, Sini, Valentina, Boni, Luca, Fabi, Alessandra, Montemurro, Filippo, De Laurentiis, Michelino, Arpino, Grazia, Del Mastro, Lucia, Gerratana, Lorenzo, and Puglisi, Fabio
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- 2024
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10. Monitoring changing patterns in HER2 addiction by liquid biopsy in advanced breast cancer patients
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Giordani, Elena, Allegretti, Matteo, Sinibaldi, Alberto, Michelotti, Francesco, Ferretti, Gianluigi, Ricciardi, Elena, Ziccheddu, Giovanna, Valenti, Fabio, Di Martino, Simona, Ercolani, Cristiana, Giannarelli, Diana, Arpino, Grazia, Gori, Stefania, Omarini, Claudia, Zambelli, Alberto, Bria, Emilio, Paris, Ida, Buglioni, Simonetta, Giacomini, Patrizio, and Fabi, Alessandra
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- 2024
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11. COVID-19 in patients with thymic epithelial tumors with or without Good’s syndrome: a single-center retrospective study
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Pietroluongo, Erica, Peddio, Annarita, De Placido, Pietro, Tortora, Marianna, Ottaviano, Margaret, Gelzo, Monica, Cernera, Gustavo, Foggia, Maria, Buonomo, Antonio Riccardo, Pinchera, Biagio, Zappulo, Emanuela, Mercinelli, Simona, Cattaneo, Letizia, Sardanelli, Alessia, Viceconte, Giulio, Scotto, Riccardo, Schiano Moriello, Nicola, Servetto, Alberto, De Angelis, Carmine, Arpino, Grazia, Palmieri, Giovannella, De Placido, Sabino, Bianco, Roberto, Castaldo, Giuseppe, Gentile, Ivan, and Giuliano, Mario
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- 2024
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12. Clathrin mediates membrane fission and budding by constricting membrane pores
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Wei, Lisi, Guo, Xiaoli, Haimov, Ehud, Obashi, Kazuki, Lee, Sung Hoon, Shin, Wonchul, Sun, Min, Chan, Chung Yu, Sheng, Jiansong, Zhang, Zhen, Mohseni, Ammar, Ghosh Dastidar, Sudhriti, Wu, Xin-Sheng, Wang, Xin, Han, Sue, Arpino, Gianvito, Shi, Bo, Molakarimi, Maryam, Matthias, Jessica, Wurm, Christian A., Gan, Lin, Taraska, Justin W., Kozlov, Michael M., and Wu, Ling-Gang
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- 2024
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13. Enhanced Weyl semimetal signature in Co3Sn2S2 Kagome ferromagnet by chlorine doping
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Bin He, Mengyu Yao, Yu Pan, Kathryn E. Arpino, Dong Chen, Federico M. Serrano-Sanchez, Sailong Ju, Ming Shi, Yan Sun, and Claudia Felser
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Materials of engineering and construction. Mechanics of materials ,TA401-492 - Abstract
Abstract Weyl fermions are chiral massless fermions with exotic properties. In the first established magnetic Weyl semimetal, Co3Sn2S2, a giant anomalous Hall effect has been observed, while its Fermi energy remaining 60 meV from the Weyl points. Shifting the Fermi energy closer to the Weyl points may assist in the identification of Weyl Fermion related transport signatures. Here we show that effective chlorine doping has resulted in a shift of the Fermi energy by 15 meV towards the Weyl points, which is confirmed by a combination of the systematic angular-resolved photoemission spectroscopy measurements and density function theory calculations. A five-fold reduction in resistivity is observed in the ferromagnetic phase, accompanied by a pronounced magnetoresistance of over 150%. The anomalous Hall conductivity shows a peak of 1680 Scm−1 at 40 K, which is 30% higher than the undoped sample due to a stronger Weyl point contribution. This work demonstrates the essential role of doping in Co3Sn2S2 for an enhanced Weyl semimetal signature.
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- 2024
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14. Clinico-pathological predictors of radiologic complete response to first-line anti-HER2 therapy in metastatic breast cancer
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Linda Cucciniello, Eva Blondeaux, Claudia Bighin, Simona Gasparro, Stefania Russo, Arianna Dri, Palma Pugliese, Andrea Fontana, Enrico Cortesi, Antonella Ferzi, Ferdinando Riccardi, Valentina Sini, Luca Boni, Alessandra Fabi, Filippo Montemurro, Michelino De Laurentiis, Grazia Arpino, Lucia Del Mastro, Lorenzo Gerratana, and Fabio Puglisi
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract This study aimed to identify the clinico-pathological variables predictive of radiologic complete response (rCR) to first-line anti-HER2 therapy in patients with HER2-positive metastatic breast cancer. Patients were selected from the database of the GIM14 study and classified according to the best radiologic response obtained to first-line anti-HER2 therapy and upon time-to-treatment-discontinuation (TTD). A total of 545 patients were included in the analysis. Eighty patients experienced a rCR to first-line anti-HER2 therapy with a TTD > 3 months and HER2 Immunohistochemistry score 3+, presence of non-visceral metastases and 1 metastatic site were significantly associated with higher odds of obtaining a CR. Of the 80 patients achieving a rCR, 56 experienced a CR with a TTD > 18 months, with anti-HER2 therapy being the only variable significantly associated with a higher probability of achieving such sustained CR.
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- 2024
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15. Regional Trends in Births During the COVID-19 Crisis in France, Germany, Italy, and Spain: Exploring Associations with Economic Factors and Excess Mortality
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Luppi, Francesca, Arpino, Bruno, and Rosina, Alessandro
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- 2024
16. Greedy Heuristics and Linear Relaxations for the Random Hitting Set Problem
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Arpino, Gabriel, Dmitriev, Daniil, and Grometto, Nicolo
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Mathematics - Probability ,Computer Science - Discrete Mathematics ,Computer Science - Data Structures and Algorithms ,Mathematics - Optimization and Control - Abstract
Consider the Hitting Set problem where, for a given universe $\mathcal{X} = \left\{ 1, ... , n \right\}$ and a collection of subsets $\mathcal{S}_1, ... , \mathcal{S}_m$, one seeks to identify the smallest subset of $\mathcal{X}$ which has nonempty intersection with every element in the collection. We study a probabilistic formulation of this problem, where the underlying subsets are formed by including each element of the universe with probability $p$, independently of one another. For large enough values of $n$, we rigorously analyse the average case performance of Lov\'asz's celebrated greedy algorithm (Lov\'asz, 1975) with respect to the chosen input distribution. In addition, we study integrality gaps between linear programming and integer programming solutions of the problem.
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- 2023
17. Statistical-Computational Tradeoffs in Mixed Sparse Linear Regression
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Arpino, Gabriel and Venkataramanan, Ramji
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Statistics - Machine Learning ,Computer Science - Information Theory ,Computer Science - Machine Learning ,Mathematics - Statistics Theory - Abstract
We consider the problem of mixed sparse linear regression with two components, where two real $k$-sparse signals $\beta_1, \beta_2$ are to be recovered from $n$ unlabelled noisy linear measurements. The sparsity is allowed to be sublinear in the dimension, and additive noise is assumed to be independent Gaussian with variance $\sigma^2$. Prior work has shown that the problem suffers from a $\frac{k}{SNR^2}$-to-$\frac{k^2}{SNR^2}$ statistical-to-computational gap, resembling other computationally challenging high-dimensional inference problems such as Sparse PCA and Robust Sparse Mean Estimation; here $SNR$ is the signal-to-noise ratio. We establish the existence of a more extensive computational barrier for this problem through the method of low-degree polynomials, but show that the problem is computationally hard only in a very narrow symmetric parameter regime. We identify a smooth information-computation tradeoff between the sample complexity $n$ and runtime for any randomized algorithm in this hard regime. Via a simple reduction, this provides novel rigorous evidence for the existence of a computational barrier to solving exact support recovery in sparse phase retrieval with sample complexity $n = \tilde{o}(k^2)$. Our second contribution is to analyze a simple thresholding algorithm which, outside of the narrow regime where the problem is hard, solves the associated mixed regression detection problem in $O(np)$ time with square-root the number of samples and matches the sample complexity required for (non-mixed) sparse linear regression; this allows the recovery problem to be subsequently solved by state-of-the-art techniques from the dense case. As a special case of our results, we show that this simple algorithm is order-optimal among a large family of algorithms in solving exact signed support recovery in sparse linear regression., Comment: To appear in Conference on Learning Theory (COLT) 2023
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- 2023
18. A 1-year per-patient cost of therapy administration analysis of mosunetuzumab and tisagenlecleucel in relapsed or refractory follicular lymphoma patients receiving two or more lines of systemic therapy
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Marco Bellone, Alice Sabinot, Alessandro D’Arpino, Emanuela Omodeo Salè, Daniela Ghislieri, and Lorenzo Pradelli
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Economic evaluation ,Healthcare costs ,Micro-costing ,Oncology ,Medical technology ,R855-855.5 - Abstract
Objective: A per-patient cost of therapy administration model was developed to estimate the cost of mosunetuzumab vs. tisagenlecleucel in patients with relapsing or refractory follicular lymphoma (R/R FL) receiving two or more lines of systemic therapy (3L+) from both the Italian hospital and societal perspectives. Methods: A per-patient total cost of therapy administration model was developed to compare the resource consumption of two treatments – mosunetuzumab and tisagenlecleucel. The model considered direct costs such as healthcare labor costs for drug preparation and administration, non-drug consumable costs, and drug purchase. Indirect costs such as patient and caregiver’s loss of productivity, transportation, and relocation were also considered. The unit costs and resource use data were retrieved from literature and standard Italian tariffs. To appraise the impact of patients’ residency on access-to-care and out-of-pocket expenses, three scenario analyses were conducted. Results: Over 1 year, mosunetuzumab costs approximately one-fourth of tisagenlecleucel per patient. The base-case scenario showed a hospital cost reduction of €158,870 per patient with mosunetuzumab, increasing to €161,974 when including societal costs. Scenario analyses for the societal perspective estimated cost differences of −€161,170, −€166,507, and −€166,811 for scenarios A, B, and C, respectively. Sensitivity analysis indicated that tisagenlecleucel’s price had the greatest impact on cost differences, followed by mosunetuzumab’s price. Conclusions: This analysis identifies mosunetuzumab as an accessible therapeutic option for 3L+ R/R FL patients in Italy. Future research should collect real-time data and evaluate long-term outcomes.
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- 2024
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19. Clathrin mediates membrane fission and budding by constricting membrane pores
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Lisi Wei, Xiaoli Guo, Ehud Haimov, Kazuki Obashi, Sung Hoon Lee, Wonchul Shin, Min Sun, Chung Yu Chan, Jiansong Sheng, Zhen Zhang, Ammar Mohseni, Sudhriti Ghosh Dastidar, Xin-Sheng Wu, Xin Wang, Sue Han, Gianvito Arpino, Bo Shi, Maryam Molakarimi, Jessica Matthias, Christian A. Wurm, Lin Gan, Justin W. Taraska, Michael M. Kozlov, and Ling-Gang Wu
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Cytology ,QH573-671 - Abstract
Abstract Membrane budding, which underlies fundamental processes like endocytosis, intracellular trafficking, and viral infection, is thought to involve membrane coat-forming proteins, including the most observed clathrin, to form Ω-shape profiles and helix-forming proteins like dynamin to constrict Ω-profiles’ pores and thus mediate fission. Challenging this fundamental concept, we report that polymerized clathrin is required for Ω-profiles’ pore closure and that clathrin around Ω-profiles’ base/pore region mediates pore constriction/closure in neuroendocrine chromaffin cells. Mathematical modeling suggests that clathrin polymerization at Ω-profiles’ base/pore region generates forces from its intrinsically curved shape to constrict/close the pore. This new fission function may exert broader impacts than clathrin’s well-known coat-forming function during clathrin (coat)-dependent endocytosis, because it underlies not only clathrin (coat)-dependent endocytosis, but also diverse endocytic modes, including ultrafast, fast, slow, bulk, and overshoot endocytosis previously considered clathrin (coat)-independent in chromaffin cells. It mediates kiss-and-run fusion (fusion pore closure) previously considered bona fide clathrin-independent, and limits the vesicular content release rate. Furthermore, analogous to results in chromaffin cells, we found that clathrin is essential for fast and slow endocytosis at hippocampal synapses where clathrin was previously considered dispensable, suggesting clathrin in mediating synaptic vesicle endocytosis and fission. These results suggest that clathrin and likely other intrinsically curved coat proteins are a new class of fission proteins underlying vesicle budding and fusion. The half-a-century concept and studies that attribute vesicle-coat contents’ function to Ω-profile formation and classify budding as coat-protein (e.g., clathrin)-dependent or -independent may need to be re-defined and re-examined by considering clathrin’s pivotal role in pore constriction/closure.
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- 2024
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20. COVID-19 in patients with thymic epithelial tumors with or without Good’s syndrome: a single-center retrospective study
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Erica Pietroluongo, Annarita Peddio, Pietro De Placido, Marianna Tortora, Margaret Ottaviano, Monica Gelzo, Gustavo Cernera, Maria Foggia, Antonio Riccardo Buonomo, Biagio Pinchera, Emanuela Zappulo, Simona Mercinelli, Letizia Cattaneo, Alessia Sardanelli, Giulio Viceconte, Riccardo Scotto, Nicola Schiano Moriello, Alberto Servetto, Carmine De Angelis, Grazia Arpino, Giovannella Palmieri, Sabino De Placido, Roberto Bianco, Giuseppe Castaldo, Ivan Gentile, and Mario Giuliano
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SARS-CoV-2 ,COVID-19, thymic epithelial tumors ,Good’s syndrome ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Introduction Thymic epithelial tumors (TETs) are rare neoplasms often associated with immune-related disorders. Patients with Good’s syndrome (GS), an adult-acquired TET-related immunodeficiency, are at a high risk of mortality due to infectious diseases. This study aims to examine COVID-19 occurrence and severity in TET patients, with or without GS. Methods Clinical records of TET patients referred to the Regional Coordinating Center for Rare Tumors of Campania Region were retrospectively collected. During the observation period, elapsing from March 2020 to April 2023, the following data were collected: occurrence of SARS-CoV-2 infection; COVID-19 severity, according to the National Institute of Health (NIH) illness categories; COVID-19 treatment. COVID-19 occurrence and severity were assessed in the overall population and correlated with the presence of GS and/or other immune-related dysregulations. Results Overall, 47 TET patients were included in the study; 27 of these (57.4%) had GS. All participants had received a full cycle of mRNA vaccine for SARS-CoV2., Thirty-one patients (66.0%) experienced COVID-19, of whom 18 (58.0%) had previously received a diagnosis of GS. No significant association of GS and/or other immune-related dysregulations with SARS-CoV-2 infection occurrence was detected (Fisher’s exact test p = 1 and p = 0.3587, respectively). Among patients with GS, 8 (45.0%) reported a COVID-19 severity score of ≥ 3; whereas, only 1 of the 13 patients without GS (7.7%) had a severity score of ≥ 3. The correlation between presence of GS and COVID-19 severity (score 1 or 2 vs. ≥ 3) was statistically significant (p = 0.0448). No statistically significant association between COVID-19 severity and other immune-related syndromes were found (p = 1). Of note, all the hospitalized patients for NIH 4 and 5 COVID-19 had GS. Conclusions Our data suggest that TET patients, especially those with GS, require a careful multidisciplinary monitoring for SARS-CoV-2 infection, in order to establish tailored treatments and prophylactic protocols.
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- 2024
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21. Monitoring changing patterns in HER2 addiction by liquid biopsy in advanced breast cancer patients
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Elena Giordani, Matteo Allegretti, Alberto Sinibaldi, Francesco Michelotti, Gianluigi Ferretti, Elena Ricciardi, Giovanna Ziccheddu, Fabio Valenti, Simona Di Martino, Cristiana Ercolani, Diana Giannarelli, Grazia Arpino, Stefania Gori, Claudia Omarini, Alberto Zambelli, Emilio Bria, Ida Paris, Simonetta Buglioni, Patrizio Giacomini, and Alessandra Fabi
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HER2-positive breast cancer ,Trastuzumab emtansine (T-DM1) ,Liquid biopsy ,Circulating cell-free DNA (cfDNA) ,Circulating soluble HER2 (sHER2) ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background During targeted treatment, HER2-positive breast cancers invariably lose HER2 DNA amplification. In contrast, and interestingly, HER2 proteins may be either lost or gained. To longitudinally and systematically appreciate complex/discordant changes in HER2 DNA/protein stoichiometry, HER2 DNA copy numbers and soluble blood proteins (aHER2/sHER2) were tested in parallel, non-invasively (by liquid biopsy), and in two-dimensions, hence HER2-2D. Methods aHER2 and sHER2 were assessed by digital PCR and ELISA before and after standard-of-care treatment of advanced HER2-positive breast cancer patients (n=37) with the antibody-drug conjugate (ADC) Trastuzumab-emtansine (T-DM1). Results As expected, aHER2 was invariably suppressed by T-DM1, but this loss was surprisingly mirrored by sHER2 gain, sometimes of considerable entity, in most (30/37; 81%) patients. This unorthodox split in HER2 oncogenic dosage was supported by reciprocal aHER2/sHER2 kinetics in two representative cases, and an immunohistochemistry-high status despite copy-number-neutrality in 4/5 available post-T-DM1 tumor re-biopsies from sHER2-gain patients. Moreover, sHER2 was preferentially released by dying breast cancer cell lines treated in vitro by T-DM1. Finally, sHER2 gain was associated with a longer PFS than sHER2 loss (mean PFS 282 vs 133 days, 95% CI [210-354] vs [56-209], log-rank test p=0.047), particularly when cases (n=11) developing circulating HER2-bypass alterations during T-DM1 treatment were excluded (mean PFS 349 vs 139 days, 95% CI [255-444] vs [45-232], log-rank test p=0.009). Conclusions HER2 gain is adaptively selected in tumor tissues and recapitulated in blood by sHER2 gain. Possibly, an increased oncogenic dosage is beneficial to the tumor during anti-HER2 treatment with naked antibodies, but favorable to the host during treatment with a strongly cytotoxic ADC such as T-DM1. In the latter case, HER2-gain tumors may be kept transiently in check until alternative oncogenic drivers, revealed by liquid biopsy, bypass HER2. Whichever the interpretation, HER2-2D might help to tailor/prioritize anti-HER2 treatments, particularly ADCs active on aHER2-low/sHER2-low tumors. Trial registration NCT05735392 retrospectively registered on January 31, 2023 https://www.clinicaltrials.gov/search?term=NCT05735392
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- 2024
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22. Exploring a Novel Approach to Spare Classic Chemotherapy in HER2-Low, ER-Positive Breast Cancer Based on Trastuzumab Deruxtecan Combined with Endocrine Therapy
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Luca Scafuri, Carlo Buonerba, Vincenzo Di Lauro, Vincenzo Tortora, Marco Cascella, Luigi Liguori, Antonella Sciarra, Francesco Sabbatino, Anna Diana, Antonio Marra, Paolo Tarantino, Dario Trapani, Mario Giuliano, Grazia Arpino, Giuseppe Curigliano, and Giuseppe Di Lorenzo
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Breast cancer ,HER2-low ,Estrogen receptor-positive ,Neoadjuvant therapy ,Trastuzumab deruxtecan ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Breast cancer presents diverse molecular subtypes affecting treatment strategies. Human epidermal growth factor receptor 2 (HER2)-low, hormone receptor-positive (HR+) breast cancer poses a challenge due to limited targeted therapies. Current neoadjuvant treatment primarily utilizes chemotherapy, with conflicting results regarding efficacy in patients with HER2-low breast cancer. Trastuzumab deruxtecan (T-DXd) shows promise in HER2-low metastatic disease, and preliminary evidence suggests synergy with endocrine therapy. Objective This editorial explores the hypothesis that neoadjuvant T-DXd with or without endocrine therapy offers efficacy in the clinical management of HR+/HER2-low breast cancer. Methods We propose a phase II study with two treatment arms: T-DXd + letrozole and T-DXd alone. The primary endpoint is the radiological complete response rate. Secondary endpoints include pathological complete response rate, safety, event-free survival, and overall survival. Exploratory analyses will compare the arms to identify potential for optimizing treatment efficacy and minimizing side effects. Conclusions This study design allows for initial assessment of T-DXd with or without endocrine therapy in the treatment of HER2-low breast cancer. The findings may pave the way for personalized treatment strategies and inform future research, potentially leading to a chemotherapy-sparing approach.
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- 2024
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23. Factors Associated With the Probability of Leaving Bolsa Família Program
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Carraro, André, Fernandez, Rodrigo Nobre, Loures, Alexandre, and de Farias Simões Arpino, Kelly Fabiane
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- 2024
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24. Retrospectives on the Embodied AI Workshop
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Deitke, Matt, Batra, Dhruv, Bisk, Yonatan, Campari, Tommaso, Chang, Angel X., Chaplot, Devendra Singh, Chen, Changan, D'Arpino, Claudia Pérez, Ehsani, Kiana, Farhadi, Ali, Fei-Fei, Li, Francis, Anthony, Gan, Chuang, Grauman, Kristen, Hall, David, Han, Winson, Jain, Unnat, Kembhavi, Aniruddha, Krantz, Jacob, Lee, Stefan, Li, Chengshu, Majumder, Sagnik, Maksymets, Oleksandr, Martín-Martín, Roberto, Mottaghi, Roozbeh, Raychaudhuri, Sonia, Roberts, Mike, Savarese, Silvio, Savva, Manolis, Shridhar, Mohit, Sünderhauf, Niko, Szot, Andrew, Talbot, Ben, Tenenbaum, Joshua B., Thomason, Jesse, Toshev, Alexander, Truong, Joanne, Weihs, Luca, and Wu, Jiajun
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Computer Science - Computer Vision and Pattern Recognition - Abstract
We present a retrospective on the state of Embodied AI research. Our analysis focuses on 13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are grouped into three themes: (1) visual navigation, (2) rearrangement, and (3) embodied vision-and-language. We discuss the dominant datasets within each theme, evaluation metrics for the challenges, and the performance of state-of-the-art models. We highlight commonalities between top approaches to the challenges and identify potential future directions for Embodied AI research.
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- 2022
25. Laboratory Validation of Battery Energy Storage System as STATCOM (BESS-STATCOM) for Critical Induction Motor Stabilization.
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Rajiv K. Varma, Cristian Arpino, and Milad Ahmadi
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- 2024
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26. Greedy Heuristics and Linear Relaxations for the Random Hitting Set Problem.
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Gabriel Arpino, Daniil Dmitriev, and Nicolò Grometto
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- 2024
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27. A Biclustering Approach via Mixture of Latent Trait Analyzers for the Analysis of Digital Divide in Italy
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Failli, Dalila, Arpino, Bruno, Marino, Maria Francesca, Martella, Francesca, Einbeck, Jochen, editor, Maeng, Hyeyoung, editor, Ogundimu, Emmanuel, editor, and Perrakis, Konstantinos, editor
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- 2024
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28. Efficacy and safety of antibody-drug conjugates in pretreated HER2-low metastatic breast cancer: A systematic review and network meta-analysis
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Schettini, Francesco, Nucera, Sabrina, Pascual, Tomás, Martínez-Sáez, Olga, Sánchez-Bayona, Rodrigo, Conte, Benedetta, Buono, Giuseppe, Lambertini, Matteo, Punie, Kevin, Cejalvo, Juan Miguel, Arpino, Grazia, Vigneri, Paolo, Generali, Daniele, Ciruelos, Eva, Cortés, Javier, Gennari, Alessandra, Muñoz, Montserrat, Vidal Losada, Maria J., Tolaney, Sara M, Prat, Aleix, and Villacampa, Guillermo
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- 2025
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29. AVALIAÇÃO DE IMPACTO DAS PARCERIAS PÚBLICO PRIVADAS (PPPs) EM EDUCAÇÃO: UM ESTUDO DE CASO DAS PPPs EDUCACIONAIS DE BELHO HORIZONTE
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Arpino, Kelly Simões, primary and Fernandez, Rodrigo Nobre, additional
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- 2024
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30. O TRADE-OFF ENTRE O SALÁRIO DOS SUPERVISORES E DOS TRABALHADORES BRASILEIROS
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Arpino, Kelly Simoes, primary and Uhr, Daniel de Abreu Pereira, additional
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- 2024
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31. Efficacy of PARP inhibitors in advanced high-grade serous ovarian cancer according to BRCA domain mutations and mutation type
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Roberto Buonaiuto, Giuseppe Neola, Aldo Caltavituro, Alessandra Longobardi, Federica Pia Mangiacotti, Amedeo Cefaliello, Maria Rosaria Lamia, Francesco Pepe, Jole Ventriglia, Umberto Malapelle, Giancarlo Troncone, Mario Giuliano, Grazia Arpino, Sandro Pignata, and Carmine De Angelis
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HGSOC ,PARP inhibitors ,BRCA mutation domain ,resistance ,ovarian cancer ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
ObjectivePreclinical studies have emphasized the potential connection between BRCA specific domains defects and the activity of Poly ADP-ribose polymerase inhibitors (PARPi). Nevertheless, real-world evidence regarding the impact of BRCA domain defects and mutations on PARPi efficacy are limited. The aim of his study was to evaluate the efficacy of PARPi in terms of progression free survival (PFS) according to BRCA domains defects and mutation types.MethodsA retrospective analysis was performed among 79 BRCA mutated patients, diagnosed with advanced High-grade serous ovarian carcinoma (HGSOC) who received first- and second-line platinum- based chemotherapy followed by PARPi maintenance treatment. PFS was evaluated according to BRCA1 [Really Interesting Gene (RING), DNA Binding (DBD), Serine Cluster (SCD), BRCA1 C-terminal (BRCT)] and BRCA2 [RAD-51 Domain (RAD-51 BD), DBD] specific domain defects and mutation types [missense (MS), nonsense (NS), frameshift (FS), splicing (S), or large rearrangements (LR)].ResultsAfter a median follow-up of 51 months, no significant difference in PFS was observed between the BRCA functional domains or mutation types in the BRCA1 and BRCA2 subgroups. Patients with BRCA2 DBD and RAD51-BD defects had the longest (39.8 months) and shortest (24.1 months) median PFS, respectively (p = 0.11). Additionally, patients with BRCA1 DBD defects had the greatest benefit (median PFS = 33.8 months) while those with BRCA1 RING domain mutations experienced the worst outcome (median PFS = 30.9 months (p = 0.43).ConclusionThe efficacy of maintenance treatment with PARPi is independent by BRCA domain defects or mutation types. Patients DBD domain defects experienced numerically longer median PFS compared to those with other BRCA1/2 alterations.
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- 2024
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32. Nanoencapsulation of Spirulina sp. LEB 18 microalgae biomass using electrospray technique and application in chocolate milk
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Rasia, Thays Arpino, da Silva Vaz, Bruna, Costa, Jorge Alberto Vieira, and Morais, Michele Greque
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- 2024
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33. The journey of patients affected by metastatic hormone receptor-positive/HER2-negative breast cancer from CDK 4/6 inhibitors to second-line treatment: A real-world analysis of 701 patients enrolled in the GIM14/BIOMETA study
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Molinelli, Chiara, Bruzzone, Marco, Blondeaux, Eva, Ruelle, Tommaso, Lanzavecchia, Chiara, De Laurentiis, Michelino, Russo, Stefania, Riccardi, Ferdinando, Sini, Valentina, Cognetti, Francesco, Arpino, Grazia, Fabi, Alessandra, Pugliese, Palma, Collovà, Elena, Fontana, Andrea, Puglisi, Fabio, Bighin, Claudia, Lambertini, Matteo, and Del Mastro, Lucia
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- 2024
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34. Sex dependence of postoperative pulmonary complications – A post hoc unmatched and matched analysis of LAS VEGAS
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Kroell, Wolfgang, Metzler, Helfried, Struber, Gerd, Wegscheider, Thomas, Gombotz, Hans, Hiesmayr, Michael, Schmid, Werner, Urbanek, Bernhard, Kahn, David, Momeni, Mona, Pospiech, Audrey, Lois, Fernande, Forget, Patrice, Grosu, Irina, Poelaert, Jan, van Mossevelde, Veerle, van Malderen, Marie-Claire, Dylst, Dimitri, van Melkebeek, Jeroen, Beran, Maud, de Hert, Stefan, De Baerdemaeker, Luc, Heyse, Bjorn, Van Limmen, Jurgen, Wyffels, Piet, Jacobs, Tom, Roels, Nathalie, De Bruyne, Ann, van de Velde, Stijn, Leva, Brigitte, Damster, Sandrine, Plichon, Benoit, Juros-Zovko, Marina, Djonoviċ-Omanoviċ, Dejana, Pernar, Selma, Zunic, Josip, Miskovic, Petar, Zilic, Antonio, Kvolik, Slavica, Ivic, Dubravka, Azenic-Venzera, Darija, Skiljic, Sonja, Vinkovic, Hrvoje, Oputric, Ivana, Juricic, Kazimir, Frkovic, Vedran, Kopic, Jasminka, Mirkovic, Ivan, Karanovic, Nenad, Carev, Mladen, Dropulic, Natasa, Saric, Jadranka Pavicic, Erceg, Gorjana, Dvorscak, Matea Bogdanovic, Mazul-Sunko, Branka, Pavicic, Anna Marija, Goranovic, Tanja, Maldini, Branka, Radocaj, Tomislav, Gavranovic, Zeljka, Mladic-Batinica, Inga, Sehovic, Mirna, Stourac, Petr, Harazim, Hana, Smekalova, Olga, Kosinova, Martina, Kolacek, Tomas, Hudacek, Kamil, Drab, Michal, Brujevic, Jan, Vitkova, Katerina, Jirmanova, Katerina, Volfova, Ivana, Dzurnakova, Paula, Liskova, Katarina, Dudas, Radovan, Filipsky, Radek, el Kafrawy, Samir, Abdelwahab, Hisham Hosny, Metwally, Tarek, Abdel-Razek, Ahmed, El-Shaarawy, Ahmed Mostafa, Hasan, Wael Fathy, Ahmed, Ahmed Gouda, Yassin, Hany, Magdy, Mohamed, Abdelhady, Mahdy, Mahran, Mohamed, Herodes, Eiko, Kivik, Peeter, Oganjan, Juri, Aun, Annika, Sormus, Alar, Sarapuu, Kaili, Mall, Merilin, Karjagin, Juri, Futier, Emmanuel, Petit, Antoine, Gerard, Adeline, Marret, Emmanuel, Solier, Marc, Jaber, Samir, Prades, Albert, Krassler, Jens, Merzky, Simone, de Abreu, Marcel Gama, Uhlig, Christopher, Kiss, Thomas, Bundy, Anette, Bluth, Thomas, Gueldner, Andreas, Spieth, Peter, Scharffenberg, Martin, Thiem, Denny Tran, Koch, Thea, Treschan, Tanja, Schaefer, Maximilian, Bastin, Bea, Geib, Johann, Weiss, Martin, Kienbaum, Peter, Pannen, Benedikt, Gottschalk, Andre, Konrad, Mirja, Westerheide, Diana, Schwerdtfeger, Ben, Wrigge, Hermann, Simon, Philipp, Reske, Andreas, Nestler, Christian, Valsamidis, Dimitrios, Stroumpoulis, Konstantinos, Antholopoulos, Georgios, Andreou, Antonis, Karapanos, Dimitris, Theodoraki, Kassiani, Gkiokas, Georgios, Tasoulis, Marios-Konstantinos, Sidiropoulou, Tatiana, Zafeiropoulou, Foteini, Florou, Panagiota, Pandazi, Aggeliki, Tsaousi, Georgia, Nouris, Christos, Pourzitaki, Chryssa, Bystritski, Dmitri, Pizov, Reuven, Eden, Arieh, Pesce, Caterina Valeria, Campanile, Annamaria, Marrella, Antonella, Grasso, Salvatore, De Michele, Michele, Bona, Francesco, Giacoletto, Gianmarco, Sardo, Elena, Sottosanti, Luigi Giancarlo Vicari, Solca, Maurizio, Volta, Carlo Alberto, Spadaro, Savino, Verri, Marco, Ragazzi, Riccardo, Zoppellari, Roberto, Cinnella, Gilda, Raimondo, Pasquale, La Bella, Daniela, Mirabella, Lucia, D'antini, Davide, Pelosi, Paolo, Molin, Alexandre, Brunetti, Iole, Gratarola, Angelo, Pellerano, Giulia, Sileo, Rosanna, Pezzatto, Stefano, Montagnani, Luca, Pasin, Laura, Landoni, Giovanni, Zangrillo, Alberto, Beretta, Luigi, Di Parma, Ambra Licia, Tarzia, Valentina, Dossi, Roberto, Sassone, Marta Eugenia, Sances, Daniele, Tredici, Stefano, Spano, Gianluca, Castellani, Gianluca, Delunas, Luigi, Peradze, Sopio, Venturino, Marco, Arpino, Ines, Sher, Sara, Tommasino, Concezione, Rapido, Francesca, Morelli, Paola, Vargas, Maria, Servillo, Giuseppe, Cortegiani, Andrea, Raineri, Santi Maurizio, Montalto, Francesca, Russotto, Vincenzo, Giarratano, Antonino, Baciarello, Marco, Generali, Michela, Cerati, Giorgia, Leykin, Yigal, Bressan, Filippo, Bartolini, Vittoria, Zamidei, Lucia, Brazzi, Luca, Liperi, Corrado, Sales, Gabriele, Pistidda, Laura, Severgnini, Paolo, Brugnoni, Elisa, Musella, Giuseppe, Bacuzzi, Alessandro, Muhardri, Dalip, Gecaj-Gashi, Agreta, Sada, Fatos, Bytyqi, Adem, Karbonskiene, Aurika, Aukstakalniene, Ruta, Teberaite, Zivile, Salciute, Erika, Tikuisis, Renatas, Miliauskas, Povilas, Jurate, Sipylaite, Kontrimaviciute, Egle, Tomkute, Gabija, Xuereb, John, Bezzina, Maureen, Borg, Francis Joseph, Hemmes, Sabrine, Schultz, Marcus, Hollmann, Markus, Wiersma, Irene, Binnekade, Jan, Bos, Lieuwe, Nijbroek, Sunny, Boer, Christa, Duvekot, Anne, ’t Veld, Bas in, Werger, Alice, Dennesen, Paul, Severijns, Charlotte, De Jong, Jasper, Hering, Jens, van Beek, Rienk, Ivars, Stefan, Jammer, Ib, Breidablik, Alena, Hodt, Katharina Skirstad, Fjellanger, Frode, Avalos, Manuel Vico, Mellin-Olsen, Jannicke, Andersson, Elisabeth, Shafi-Kabiri, Amir, Molina, Ruby, Wutai, Stanley, Morais, Erick, Tareco, Glória, Ferreira, Daniel, Amaral, Joana, de Lurdes Goncalves Castro, Maria, Cadilha, Susana, Appleton, Sofia, Parente, Suzana, Correia, Mariana, Martins, Diogo, Monteirosa, Angela, Ricardo, Ana, Rodrigues, Sara, Horhota, Lucian, Grintescu, Ioana Marina, Mirea, Liliana, Grintescu, Ioana Cristina, Corneci, Dan, Negoita, Silvius, Dutu, Madalina, Garotescu, Ioana Popescu, Filipescu, Daniela, Prodan, Alexandru Bogdan, Droc, Gabriela, Fota, Ruxandra, Popescu, Mihai, Tomescu, Dana, Petcu, Ana Maria, Tudoroiu, Marian Irinel, Moise, Alida, Guran, Catalin-Traian, Gherghina, Iorel, Costea, Dan, Cindea, Iulia, Copotoiu, Sanda-Maria, Copotoiu, Ruxandra, Barsan, Victoria, Tolcser, Zsolt, Riciu, Magda, Moldovan, Septimiu Gheorghe, Veres, Mihaly, Gritsan, Alexey, Kapkan, Tatyana, Gritsan, Galina, Korolkov, Oleg, Kulikov, Alexander, Lubnin, Andrey, Ovezov, Alexey, Prokoshev, Pavel, Lugovoy, Alexander, Anipchenko, Natalia, Babayants, Andrey, Komissarova, Irina, Zalina, Karginova, Likhvantsev, Valery, Fedorov, Sergei, Lazukic, Aleksandra, Pejakovic, Jasmina, Mihajlovic, Dunja, Kusnierikova, Zuzana, Zelinkova, Maria, Bruncakova, Katarina, Polakovicova, Lenka, Sobona, Villiam, Novak-Supe, Barbka, Pekle-Golez, Ana, Jovanov, Miroljub, Strazisar, Branka, Markovic-Bozic, Jasmina, Novak-Jankovic, Vesna, Voje, Minca, Grynyuk, Andriy, Kostadinov, Ivan, Spindler-Vesel, Alenka, Moral, Victoria, Unzueta, Mari Carmen, Puigbo, Carlos, Fava, Josep, Canet, Jaume, Moret, Enrique, Nunez, Mónica Rodriguez, Sendra, Mar, Brunelli, Andrea, Rodenas, Frederic, Monedero, Pablo, Martinezv, Francisco Hidalgo, Temino, Maria Jose Yepes, Simon, Antonio Martínez, de Abajo Larriba, Ana, Lisi, Alberto, Perez, Gisela, Martinez, Raquel, Granell, Manuel, Vivo, Jose Tatay, Ruiz, Cristina Saiz, de Andrés Ibañez, Jose Antonio, Pastor, Ernesto, Soro, Marina, Ferrando, Carlos, Defez, Mario, Alvares-Santullano, Cesar Aldecoa, Perez, Rocio, Rico, Jesus, Jawad, Monir, Saeed, Yousif, Gillberg, Lars, Hedenstierma, Göran, Bengisun, Zuleyha Kazak, Kazbek, Baturay Kansu, Coskunfirat, Nesil, Boztug, Neval, Sanli, Suat, Yilmaz, Murat, Hadimioglu, Necmiye, Senturk, Nuzhet Mert, Camci, Emre, Kucukgoncu, Semra, Sungur, Zerrin, Sivrikoz, Nukhet, Ozgen, Serpil Ustalar, Toraman, Fevzi, Selvi, Onur, Senturk, Ozgur, Yildiz, Mine, Kuvaki, Bahar, Gunenc, Ferim, Kucukguclu, Semih, Ozbilgin, Şule, Maral, Jale, Canli, Seyda, Arun, Oguzhan, Saltali, Ali, Aydogan, Eyup, Akgun, Fatma Nur, Sanlikarip, Ceren, Karaman, Fatma Mine, Mazur, Andriy, Vorotyntsev, Sergiy, Rousseau, Guy, Barrett, Colin, Stancombe, Lucia, Shelley, Ben, Scholes, Helen, Limb, James, Rafi, Amir, Wayman, Lisa, Deane, Jill, Rogerson, David, Williams, John, Yates, Susan, Rogers, Elaine, Pulletz, Mark, Moreton, Sarah, Jones, Stephanie, Venkatesh, Suresh, Burton, Maudrian, Brown, Lucy, Goodall, Cait, Rucklidge, Matthew, Fuller, Debbie, Nadolski, Maria, Kusre, Sandeep, Lundberg, Michael, Everett, Lynn, Nutt, Helen, Zuleika, Maka, Carvalho, Peter, Clements, Deborah, Creagh-Brown, Ben, Watt, Philip, Raymode, Parizade, Pearse, Rupert, Mohr, Otto, Raj, Ashok, Creary, Thais, Chishti, Ahmed, Bell, Andrea, Higham, Charley, Cain, Alistair, Gibb, Sarah, Mowat, Stephen, Franklin, Danielle, West, Claire, Minto, Gary, Boyd, Nicholas, Mills, Gary, Calton, Emily, Walker, Rachel, Mackenzie, Felicity, Ellison, Branwen, Roberts, Helen, Chikungwa, Moses, Jackson, Clare, Donovan, Andrew, Foot, Jayne, Homan, Elizabeth, Montgomery, Jane, Portch, David, Mercer, Pauline, Palmer, Janet, Paddle, Jonathan, Fouracres, Anna, Datson, Amanda, Andrew, Alyson, Welch, Leanne, Rose, Alastair, Varma, Sandeep, Simeson, Karen, Rambhatla, Mrutyunjaya, Susarla, Jaysimha, Marri, Sudhakar, Kodaganallur, Krishnan, Das, Ashok, Algarsamy, Shivarajan, Colley, Julie, Davies, Simon, Szewczyk, Margaret, Smith, Thomas, Fernandez-Bustamante, Ana, Luzier, Elizabeth, Almagro, Angela, Melo, Marcos Vidal, Fernando, Luiz, Sulemanji, Demet, Sprung, Juraj, Weingarten, Toby, Kor, Daryl, Scavonetto, Federica, Tze, Yeo, Vermeulen, Tom D., Hol, Liselotte, Swart, Pien, Mills, Gary H., Putensen, Christian, Serpa Neto, Ary, Vidal Melo, Marcos F., Hollmann, Markus W., Gama de Abreu, Marcelo, Schultz, Marcus J., Hemmes, Sabrine N., and van Meenen, David M.
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- 2024
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35. Parp-inhibitors in the therapeutic landscape of breast cancer patients with BRCA1 and BRCA2 pathogenic germline variants: An Italian consensus paper and critical review
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Zambelli, Alberto, Cortesi, Laura, Gaudio, Mariangela, Arpino, Grazia, Bianchini, Giampaolo, Caruso, Francesco, Cinieri, Saverio, Curigliano, Giuseppe, Del Mastro, Lucia, De Placido, Sabino, Fabi, Alessandra, Fortunato, Lucio, Generali, Daniele, Gennari, Alessandra, Gori, Stefania, Grandi, Giovanni, Guarneri, Valentina, Klinger, Marco, Livi, Lorenzo, Marchiò, Caterina, Palumbo, Isabella, Panizza, Pietro, Pravettoni, Gabriella, Pruneri, Giancarlo, Puglisi, Fabio, Sapino, Anna, Tinterri, Corrado, Turchetti, Daniela, and De Laurentiis, Michelino
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- 2024
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36. Measurement of resting energy expenditure and its accuracy in women with breast cancer
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Cioffi, Iolanda, Di Vincenzo, Olivia, Morlino, Delia, Ramos da Silva, Bruna, Prado, Carla M., Santarpia, Lidia, Scalfi, Luca, Giuliano, Mario, De Angelis, Carmine, Pasanisi, Fabrizio, Arpino, Grazia, and Marra, Maurizio
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- 2024
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37. Associations of intraoperative end–tidal CO2 levels with postoperative outcome–secondary analysis of a worldwide observational study
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Kroell, Wolfgang, Metzler, Helfried, Struber, Gerd, Wegscheider, Thomas, Gombotz, Hans, Hiesmayr, Michael, Schmid, Werner, Urbanek, Bernhard, Kahn, David, Momeni, Mona, Pospiech, Audrey, Lois, Fernande, Forget, Patrice, Grosu, Irina, Poelaert, Jan, van Mossevelde, Veerle, van Malderen, Marie-Claire, Dylst, Dimitri, van Melkebeek, Jeroen, Beran, Maud, de Hert, Stefan, De Baerdemaeker, Luc, Heyse, Bjorn, Van Limmen, Jurgen, Wyffels, Piet, Jacobs, Tom, Roels, Nathalie, De Bruyne, Ann, van de Velde, Stijn, Leva, Brigitte, Damster, Sandrine, Plichon, Benoit, JurosZovko, Marina, Djonovic-Omanoviċ, Dejana, Pernar, Selma, Zunic, Josip, Miskovic, Petar, Zilic, Antonio, Kvolik, Slavica, Ivic, Dubravka, Azenic-Venzera, Darija, Skiljic, Sonja, Vinkovic, Hrvoje, Oputric, Ivana, Juricic, Kazimir, Frkovic, Vedran, Kopic, Jasminka, Mirkovic, Ivan, Karanovic, Nenad, Carev, Mladen, Dropulic, Natasa, Saric, Jadranka Pavicic, Erceg, Gorjana, Dvorscak, Matea Bogdanovic, Mazul-Sunko, Branka, Pavicic, Anna Marija, Goranovic, Tanja, Maldini, Branka, Radocaj, Tomislav, Gavranovic, Zeljka, Mladic-Batinica, Inga, Sehovic, Mirna, Stourac, Petr, Harazim, Hana, Smekalova, Olga, Kosinova, Martina, Kolacek, Tomas, Hudacek, Kamil, Drab, Michal, Brujevic, Jan, Vitkova, Katerina, Jirmanova, Katerina, Volfova, Ivana, Dzurnakova, Paula, Liskova, Katarina, Dudas, Radovan, Filipsky, Radek, El Kafrawy, Samir, Abdelwahab, Hisham Hosny, Metwally, Tarek, Abdel-Razek, Ahmed, El-Shaarawy, Ahmed Mostafa, Hasan, Wael Fathy, Ahmed, Ahmed Gouda, Yassin, Hany, Magdy, Mohamed, Abdelhady, Mahdy, Mahran, Mohamed, Herodes, Eiko, Kivik, Peeter, Oganjan, Juri, Aun, Annika, Sormus, Alar, Sarapuu, Kaili, Mall, Merilin, Karjagin, Juri, Futier, Emmanuel, Petit, Antoine, Gerard, Adeline, Marret, Emmanuel, Solier, Marc, Jaber, Samir, Prades, Albert, Krassler, Jens, Merzky, Simone, de Abreu, Marcel Gama, Uhlig, Christopher, Kiss, Thomas, Bundy, Anette, Bluth, Thomas, Gueldner, Andreas, Spieth, Peter, Scharffenberg, Martin, Thiem, Denny Tran, Koch, Thea, Treschan, Tanja, Schaefer, Maximilian, Bastin, Bea, Geib, Johann, Weiss, Martin, Kienbaum, Peter, Pannen, Benedikt, Gottschalk, Andre, Konrad, Mirja, Westerheide, Diana, Schwerdtfeger, Ben, Wrigge, Hermann, Simon, Philipp, Reske, Andreas, Nestler, Christian, Valsamidis, Dimitrios, Stroumpoulis, Konstantinos, Antholopoulos, Georgios, Andreou, Antonis, Karapanos, Dimitris, Theodoraki, Kassiani, Gkiokas, Georgios, Tasoulis, Marios-Konstantinos, Sidiropoulou, Tatiana, Zafeiropoulou, Foteini, Florou, Panagiota, Pandazi, Aggeliki, Tsaousi, Georgia, Nouris, Christos, Pourzitaki, Chryssa, Bystritski, Dmitri, Pizov, Reuven, Eden, Arieh, Pesce, Caterina Valeria, Campanile, Annamaria, Marrella, Antonella, Grasso, Salvatore, De Michele, Michele, Bona, Francesco, Giacoletto, Gianmarco, Sardo, Elena, Giancarlo, Luigi, Sottosanti, Vicari, Solca, Maurizio, Volta, Carlo Alberto, Spadaro, Savino, Verri, Marco, Ragazzi, Riccardo, Zoppellari, Roberto, Cinnella, Gilda, Raimondo, Pasquale, La Bella, Daniela, Mirabella, Lucia, D’antini, Davide, Pelosi, Paolo, Molin, Alexandre, Brunetti, Iole, Gratarola, Angelo, Pellerano, Giulia, Sileo, Rosanna, Pezzatto, Stefano, Montagnani, Luca, Pasin, Laura, Landoni, Giovanni, Zangrillo, Alberto, Beretta, Luigi, Di Parma, Ambra Licia, Tarzia, Valentina, Dossi, Roberto, Sassone, Marta Eugenia, Sances, Daniele, Tredici, Stefano, Spano, Gianluca, Castellani, Gianluca, Delunas, Luigi, Peradze, Sopio, Venturino, Marco, Arpino, Ines, Sher, Sara, Tommasino, Concezione, Rapido, Francesca, Morelli, Paola, Vargas, Maria, Servillo, Giuseppe, Cortegiani, Andrea, Raineri, Santi Maurizio, Montalto, Francesca, Russotto, Vincenzo, Giarratano, Antonino, Baciarello, Marco, Generali, Michela, Cerati, Giorgia, Leykin, Yigal, Bressan, Filippo, Bartolini, Vittoria, Zamidei, Lucia, Brazzi, Luca, Liperi, Corrado, Sales, Gabriele, Pistidda, Laura, Severgnini, Paolo, Brugnoni, Elisa, Musella, Giuseppe, Bacuzzi, Alessandro, Muhardri, Dalip, Gecaj-Gashi, Agreta, Sada, Fatos, Bytyqi, Adem, Karbonskiene, Aurika, Aukstakalniene, Ruta, Teberaite, Zivile, Salciute, Erika, Tikuisis, Renatas, Miliauskas, Povilas, Jurate, Sipylaite, Kontrimaviciute, Egle, Tomkute, Gabija, Xuereb, John, Bezzina, Maureen, Borg, Francis Joseph, Hemmes, Sabrine, Schultz, Marcus, Hollmann, Markus, Wiersma, Irene, Binnekade, Jan, Bos, Lieuwe, Boer, Christa, Duvekot, Anne, In’t Veld, Bas, Werger, Alice, Dennesen, Paul, Severijns, Charlotte, De Jong, Jasper, Hering, Jens, van Beek, Rienk, Ivars, Stefan, Jammer, Ib, Breidablik, Alena, Hodt, Katharina Skirstad, Fjellanger, Frode, Avalos, Manuel Vico, MellinOlsen, Jannicke, Andersson, Elisabeth, Shafi-Kabiri, Amir, Molina, Ruby, Wutai, Stanley, Morais, Erick, Tareco, Gloria, Ferreira, Daniel, Amaral, Joana, de Lurdes Goncalves Castro, Maria, Cadilha, Susana, Appleton, Sofia, Parente, Suzana, Correia, Mariana, Martins, Diogo, Monteirosa, Angela, Ricardo, Ana, Rodrigues, Sara, Horhota, Lucian, Grintescu, Ioana Marina, Mirea, Liliana, Grintescu, Ioana Cristina, Corneci, Dan, Negoita, Silvius, Dutu, Madalina, Garotescu, Ioana Popescu, Filipescu, Daniela, Prodan, Alexandru Bogdan, Droc, Gabriela, Fota, Ruxandra, Popescu, Mihai, Tomescu, Dana, Petcu, Ana Maria, Tudoroiu, Marian Irinel, Moise, Alida, Guran, Catalin-Traian, Gherghina, Iorel, Costea, Dan, Cindea, Iulia, Copotoiu, Sanda-Maria, Copotoiu, Ruxandra, Barsan, Victoria, Tolcser, Zsolt, Riciu, Magda, Moldovan, Septimiu Gheorghe, Veres, Mihaly, Gritsan, Alexey, Kapkan, Tatyana, Gritsan, Galina, Korolkov, Oleg, Kulikov, Alexander, Lubnin, Andrey, Ovezov, Alexey, Prokoshev, Pavel, Lugovoy, Alexander, Anipchenko, Natalia, Babayants, Andrey, Komissarova, Irina, Zalina, Karginova, Likhvantsev, Valery, Fedorov, Sergei, Lazukic, Aleksandra, Pejakovic, Jasmina, Mihajlovic, Dunja, Kusnierikova, Zuzana, Zelinkova, Maria, Bruncakova, Katarina, Polakovicova, Lenka, Sobona, Villiam, Novak-Supe, Barbka, Pekle-Golez, Ana, Jovanov, Miroljub, Strazisar, Branka, Markovic-Bozic, Jasmina, Novak-Jankovic, Vesna, Voje, Minca, Grynyuk, Andriy, Kostadinov, Ivan, Spindler-Vesel, Alenka, Moral, Victoria, Unzueta, Mari Carmen, Puigbo, Carlos, Fava, Josep, Canet, Jaume, Moret, Enrique, Nunez, Monicá Rodriguez, Sendra, Mar, Brunelli, Andrea, Rodenas, Frederic, Monedero, Pablo, Martinez, Francisco Hidalgo, Temino, Maria Jose Yepes, Simon, Antonio Martínez, de Abajo Larriba, Ana, Lisi, Alberto, Perez, Gisela, Martinez, Raquel, Granell, Manuel, Vivo, Jose Tatay, Ruiz, Cristina Saiz, de Andrés Ibañez, Jose Antonio, Pastor, Ernesto, Soro, Marina, Ferrando, Carlos, Defez, Mario, Alvares-Santullano, Cesar Aldecoa, Perez, Rocio, Rico, Jesus, Jawad, Monir, Saeed, Yousif, Gillberg, Lars, Bengisun, Zuleyha Kazak, Kazbek, Baturay Kansu, Coskunfirat, Nesil, Boztug, Neval, Sanli, Suat, Yilmaz, Murat, Hadimioglu, Necmiye, Senturk, Nuzhet Mert, Camci, Emre, Kucukgoncu, Semra, Sungur, Zerrin, Sivrikoz, Nukhet, Ozgen, Serpil Ustalar, Toraman, Fevzi, Selvi, Onur, Senturk, Ozgur, Yildiz, Mine, Kuvaki, Bahar, Gunenc, Ferim, Kucukguclu, Semih, Ozbilgin, Şule, Maral, Jale, Canli, Seyda, Arun, Oguzhan, Saltali, Ali, Aydogan, Eyup, Akgun, Fatma Nur, Sanlikarip, Ceren, Karaman, Fatma Mine, Mazur, Andriy, Vorotyntsev, Sergiy, Rousseau, Guy, Barrett, Colin, Stancombe, Lucia, Shelley, Ben, Scholes, Helen, Limb, James, Rafi, Amir, Wayman, Lisa, Deane, Jill, Rogerson, David, Williams, John, Yates, Susan, Rogers, Elaine, Pulletz, Mark, Moreton, Sarah, Jones, Stephanie, Venkatesh, Suresh, Burton, Maudrian, Brown, Lucy, Goodall, Cait, Rucklidge, Matthew, Fuller, Debbie, Nadolski, Maria, Kusre, Sandeep, Lundberg, Michael, Everett, Lynn, Nutt, Helen, Zuleika, Maka, Carvalho, Peter, Clements, Deborah, Creagh-Brown, Ben, Watt, Philip, Raymode, Parizade, Pearse, Rupert, Mohr, Otto, Raj, Ashok, Creary, Thais, Chishti, Ahmed, Bell, Andrea, Higham, Charley, Cain, Alistair, Gibb, Sarah, Mowat, Stephen, Franklin, Danielle, West, Claire, Minto, Gary, Boyd, Nicholas, Mills, Gary, Calton, Emily, Walker, Rachel, Mackenzie, Felicity, Ellison, Branwen, Roberts, Helen, Chikungwa, Moses, Jackson, Clare, Donovan, Andrew, Foot, Jayne, Homan, Elizabeth, Montgomery, Jane, Portch, David, Mercer, Pauline, Palmer, Janet, Paddle, Jonathan, Fouracres, Anna, Datson, Amanda, Andrew, Alyson, Welch, Leanne, Rose, Alastair, Varma, Sandeep, Simeson, Karen, Rambhatla, Mrutyunjaya, Susarla, Jaysimha, Marri, Sudhakar, Kodaganallur, Krishnan, Das, Ashok, Algarsamy, Shivarajan, Colley, Julie, Davies, Simon, Szewczyk, Margaret, Smith, Thomas, Fernandez-Bustamante, Ana, Luzier, Elizabeth, Almagro, Angela, Melo, Marcos Vidal, Fernando, Luiz, Sulemanji, Demet, Sprung, Juraj, Weingarten, Toby, Kor, Daryl, Scavonetto, Federica, Tze, Yeo, Nasa, Prashant, van Meenen, David M.P., Paulus, Frederique, de Abreu, Marcelo Gama, Bossers, Sebastiaan M., Schober, Patrick, Schultz, Marcus J., Neto, Ary Serpa, and Hemmes, Sabrine N.T.
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- 2025
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38. Warming-up the immune cell engagers (ICEs) era in breast cancer: state of the art and future directions
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Caltavituro, Aldo, Buonaiuto, Roberto, Salomone, Fabio, Pecoraro, Giovanna, Martorana, Federica, Lauro, Vincenzo Di, Barchiesi, Giacomo, Puglisi, Fabio, Del Mastro, Lucia, Montemurro, Filippo, Giuliano, Mario, Arpino, Grazia, and De Laurentiis, Michelino
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- 2025
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39. Influence of ethnicity on cyclin-dependent kinase inhibitor efficacy and toxicity: A systematic review and meta-analysis
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Buonaiuto, Roberto, Caltavituro, Aldo, Tafuro, Margherita, Longobardi, Alessandra, Pavone, Giuliana, De Santis, Pierluigi, Caputo, Roberta, De Angelis, Carmine, Del Mastro, Lucia, Puglisi, Fabio, Giuliano, Mario, Arpino, Grazia, Pagliuca, Martina, and De Laurentiis, Michelino
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- 2025
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40. (Dis)assortative Partitions on Random Regular Graphs
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Behrens, Freya, Arpino, Gabriel, Kivva, Yaroslav, and Zdeborová, Lenka
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Condensed Matter - Disordered Systems and Neural Networks ,Condensed Matter - Statistical Mechanics ,Computer Science - Discrete Mathematics ,Mathematics - Probability - Abstract
We study the problem of assortative and disassortative partitions on random $d$-regular graphs. Nodes in the graph are partitioned into two non-empty groups. In the assortative partition every node requires at least $H$ of their neighbors to be in their own group. In the disassortative partition they require less than $H$ neighbors to be in their own group. Using the cavity method based on analysis of the Belief Propagation algorithm we establish for which combinations of parameters $(d,H)$ these partitions exist with high probability and for which they do not. For $H>\lceil \frac{d}{2} \rceil $ we establish that the structure of solutions to the assortative partition problems corresponds to the so-called frozen-1RSB. This entails a conjecture of algorithmic hardness of finding these partitions efficiently. For $H \le \lceil \frac{d}{2} \rceil $ we argue that the assortative partition problem is algorithmically easy on average for all $d$. Further we provide arguments about asymptotic equivalence between the assortative partition problem and the disassortative one, going trough a close relation to the problem of single-spin-flip-stable states in spin glasses. In the context of spin glasses, our results on algorithmic hardness imply a conjecture that gapped single spin flip stable states are hard to find which may be a universal reason behind the observation that physical dynamics in glassy systems display convergence to marginal stability., Comment: 21 pages; Corrected usage of the world "planted" in Section 4
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- 2022
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41. Students can encourage their grandparents to vaccinate
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Arpino, Bruno
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- 2024
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42. Risk of SARS-CoV-2 in a car cabin assessed through 3D CFD simulations
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Arpino, Fausto, Grossi, Giorgio, Cortellessa, Gino, Mikszewski, Alex, Morawska, Lidia, Buonanno, Giorgio, and Stabile, Luca
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Physics - Medical Physics - Abstract
In this paper the risk of infection from SARS-CoV-2 Delta variant of passengers sharing a car cabin with an infected subject for a 30-min journey is estimated through an integrated approach combining a recently developed predictive emission-to-risk approach and a validated CFD numerical model numerically solved using the open-source OpenFOAM software. Different scenarios were investigated to evaluate the effect of the infected subject position within the car cabin, the air flow rate of the HVAC system, the HVAC ventilation mode, and the expiratory activity (breathing vs. speaking). The numerical simulations here performed reveal that the risk of infection is strongly influenced by several key parameter: as an example, under the same ventilation mode and emitting scenario, the risk of infection ranges from zero to roughly 50% as a function of the HVAC flow rate. The results obtained also demonstrate that: (i) simplified zero-dimensional approaches limit proper evaluation of the risk in such confined spaces, conversely, (ii) CFD approaches are needed to investigate the complex fluid-dynamics in similar indoor environments, and, thus, (iii) the risk of infection in indoor environments characterized by fixed seats can be in principle controlled by properly designing the flow patterns of the environment., Comment: 10 Tables, 10 Figures
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- 2022
43. Efficacy of adjuvant chemotherapy schedules for breast cancer according to body mass index: results from the phase III GIM2 trial
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Poggio, F., Blondeaux, E., Tagliamento, M., Perachino, M., Nardin, S., Conte, B., Giuliano, M., Arpino, G., De Laurentiis, M., Gravina, A., Bisagni, G., Rimanti, A., Turletti, A., Nisticò, C., Magnolfi, E., Gasparro, S., Fabi, A., Garrone, O., Alicicco, M.G., Urracci, Y., Poletti, P., Correale, P., Molinelli, C., Fozza, A., Puglisi, F., Colantuoni, G., Fregatti, P., Boni, L., Lambertini, M., and Del Mastro, L.
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- 2024
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44. Gender minorities in breast cancer – Clinical trials enrollment disparities: Focus on male, transgender and gender diverse patients
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Federica Miglietta, Letizia Pontolillo, Carmine De Angelis, Roberta Caputo, Monica Marino, Emilio Bria, Rossana Di Rienzo, Annarita Verrazzo, Carlo Buonerba, Giampaolo Tortora, Giuseppe Di Lorenzo, Lucia Del Mastro, Mario Giuliano, Filippo Montemurro, Fabio Puglisi, Valentina Guarneri, Michelino De Laurentiis, Luca Scafuri, and Grazia Arpino
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Breast cancer ,Gender minorities ,Male ,Transgender and gender diverse people ,Gender diversity ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Background: The last years have seen unprecedented improvement in breast cancer (BC) survival rates. However, this entirely apply to female BC patients, since gender minorities (male, transgender/gender-diverse) are neglected in BC phase III registration clinical trials. Methods: We conducted a scoping review of phase III clinical trials of agents with a current positioning within the therapeutic algorithms of BC. Results: We selected 51 phase III trials. Men enrollment was allowed in 35.3% of trials. In none of the trial inclusion/exclusion criteria referred to transgender/gender-diverse people. A numerical higher rate of enrolled men was observed in the contemporary as compared to historical group.We found a statistically significant association between the drug class and the possibility of including men: 100%, 80%, 50%, 33.3%, 25%, 10% and 9.1% of trials testing ICI/PARP-i, ADCs, PI3K/AKT/mTOR-i, anti-HER2 therapy, CDK4/6-i, ET alone, and CT alone.Overall, 77409 patients were enrolled, including 112 men (0.2%). None of the trial reported transgender/gender-diverse people proportion. Studies investigating PARP-i were significantly associated with the highest rate of enrolled men (1.42%), while the lowest rates were observed for trials of CT (0.13%), ET alone (0.10%), and CDK 4/6-I (0.08%), p
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- 2024
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45. FIBRAS ELETROFIADAS PARA BIOFIXAÇÃO DE CO2 EM CULTIVOS DE MICROALGAS
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Morais, Michele Greque de, primary, Vaz, Bruna da Silva, additional, Cardias, Bruna Barcelos, additional, Comitre, Allana Arcos, additional, Rasia, Thays Arpino, additional, and Costa, Jorge Alberto Vieira, additional
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- 2023
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46. Central obesity, body mass index, metabolic syndrome and mortality in Mediterranean breast cancer patients
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Anna Crispo, Livia S. A. Augustin, Assunta Luongo, Claudia Calderaio, Joao Breda, Sergio Coluccia, Alessandra Calabrese, Vittorio Marrazzo, Rosa Giannatiempo, Paola Trasacco, Elvira Palumbo, Sara Vitale, Giuseppe Porciello, Piergiacomo Di Gennaro, Roberta Caputo, Giuseppe Buono, Claudio Vernieri, Francesco Schettini, Maria Grimaldi, Flavia Nocerino, Egidio Celentano, Alfonso Amore, Mario Giuliano, Pietro De Placido, Carmine De Angelis, Roberto Bianco, Michelino De Laurentiis, Carlo La Vecchia, and Grazia Arpino
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Medicine ,Science - Abstract
Abstract Obesity and metabolic disorders have been associated with poor outcomes in non-Mediterranean breast cancer (BC) patients. The purpose of this study was to investigate the prognostic potential of anthropometric variables in patients with early BC living in Southern Mediterranean region of Italy. We enrolled 955 consecutive early BC patients treated in hospitals in Naples between 2009 and 2013 (median follow-up 11.8-year ending 15/09/2022). Body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR) and metabolic syndrome (MetS) were collected. All-cause and BC-specific mortality were calculated. At the last day of contact 208 (22%) patients had died, 131 (14%) from BC. High WC (≥ 88 cm) or WHR (> 0.85) and the MetS were significantly associated with moderately increased risk of all-cause mortality (HR=1.39, 1.62, 1.61, respectively). A significant increased risk of BC-specific mortality was found in obese patients, in those with high WC, high WHR and those with MetS (HR=1.72, 1.71, 1.80, 1.81, respectively). Central obesity significantly increased total and BC-specific mortality particularly in pre-menopausal women and in luminal subtypes, while in post-menopause MetS was a stronger risk factor. Obesity and MetS may impair the effectiveness of BC therapies hence active lifestyle interventions are encouraged.
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- 2023
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47. Gender minorities in breast cancer – Clinical trials enrollment disparities: Focus on male, transgender and gender diverse patients
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Miglietta, Federica, Pontolillo, Letizia, De Angelis, Carmine, Caputo, Roberta, Marino, Monica, Bria, Emilio, Di Rienzo, Rossana, Verrazzo, Annarita, Buonerba, Carlo, Tortora, Giampaolo, Di Lorenzo, Giuseppe, Del Mastro, Lucia, Giuliano, Mario, Montemurro, Filippo, Puglisi, Fabio, Guarneri, Valentina, De Laurentiis, Michelino, Scafuri, Luca, and Arpino, Grazia
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- 2024
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48. Thermodynamic and transport properties of semiconducting two-dimensional metal-organic kagom\'e lattices with disorder
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Berry, Tanya, Morey, Jennifer R., Arpino, Kathryn E., Dou, Jin-Hu, Felser, Claudia, Dincă, Mircea, and McQueen, Tyrel M.
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Condensed Matter - Strongly Correlated Electrons - Abstract
The kagom\'e lattice is a fruitful source of novel physical states of matter, including the quantum spin liquid and Dirac fermions. Here we report a structural, thermodynamic, and transport study of the two-dimensional kagom\'e metal-organic frameworks Ni_3(HIB)v2 and Cu_3(HIB)_2 (HIB = hexaiminobenzene). Magnetization measurements yield Curie constants of 1.12 and 0.352 emu K mol f.u.-1 Oe-1 respectively, close to the values expected for ideal S=1 and S=1/2 moments. Weiss temperatures of -20.3 K and -6.52 K, respectively, indicate moderate to weak magnetic interactions. Electrical transport measurements reveal that both materials are semiconducting, with gaps of Eg = 22.2 and 103 meV, respectively. Specific heat measurements reveal a large T-linear contribution of {\gamma} = 148(4) mJ mol-f.u.-1 K-2 in Ni_3(HIB)_2 with only a gradual upturn below T ~ 5 K and no evidence of a phase transition to an ordered state down to T = 0.1 K. Cu_3(HIB)_2 also lacks evidence of a phase transition above T = 0.1 K, with a substantial, field-dependent, magnetic contribution below T ~ 5 K. Despite being superficially in agreement with expectations of magnetic frustration and spin liquid physics, we are able to explain these observations as arising due to known stacking disorder in these materials. Our results further state the art of kagom\'e lattice physics, especially in the rarely explored regime of semiconducting but not metallic behavior.
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- 2021
49. Inferring Change Points in High-Dimensional Linear Regression via Approximate Message Passing.
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Gabriel Arpino, Xiaoqi Liu, and Ramji Venkataramanan
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- 2024
50. Close contact risk assessment for SARS-CoV-2 infection
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Cortellessa, Gino, Stabile, Luca, Arpino, Fausto, Faleiros, David E., Bos, Wouter van den, Morawska, Lidia, and Buonanno, Giorgio
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Physics - Medical Physics - Abstract
Although close contact represents an important contagion route, the mechanism of exposure to exhaled droplets remains insufficiently characterized. In this study, an integrated risk assessment is presented for SARS-CoV-2 close contact exposure between a speaking infectious subject and a susceptible subject. It is based on a three-dimensional transient numerical model for the description of exhaled droplet spread once emitted by a speaking person, coupled with a recently proposed SARS-CoV-2 emission approach. Particle image velocimetry measurements were conducted to validate the numerical model. The contribution of large droplets to infection risk is dominant for distances < 0.6 m, whereas for longer distances, the exposure risk depends only on airborne droplets. In particular, for short exposures (10 s) a minimum safety distance of 0.75 m should be maintained to lower the risk below 0.1%; for exposures of 1 and 15 min this distance increases to about 1.0 and 1.5 m, respectively. Based on the interpersonal distances across countries reported as a function of interacting individuals, cultural differences, and environmental and sociopsychological factors, the approach presented here revealed that, in addition to intimate and personal distances, particular attention must be paid to exposures longer than 1 min within social distances (of about 1 m).
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- 2021
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