Neutrophil-to-lymphocyte ratio may be associated with the outcome in patients with prostate cancer

Purpose: Evidences have shown that neutrophil-to-lymphocyte ratio (NLR) has a prognostic value in patients with cancer. We wanted to test the prognostic significance of NLR in prostatic cancer of patients who are candidate to radical prostatectomy. Methods: We have considered 731 patients. Complete demographic data including age, tumor stage, Gleason score, complete blood count and serum biochemical profile were collected. Pre-treatment percentage of neutrophils and NLR were considered, and correlated with patients data and recurrence free survival. Results: 389 patients were evaluated, mean age 65 years, mean follow-up 51.5 months, mean recurrence free survival 51.3 months. Total neutrophil count does not correlate with biochemical recurrence and disease free survival. Patients with a value higher of 60% of neutrophils are more likely to have a recurrence. Patients with a total lymphocyte count <1,500 have a higher rate of relapse. NLR was not correlated with baseline total PSA, with Gleason score and with pathological stage; patients with a NLR >3 has a higher incidence of recurrence. In multivariate analysis including age, total PSA and NLR, NLR is the most important factor able to predict recurrence. There are some limitations to this study; first, this is a retrospective study, and the total number of patients analyzed is relatively small. Conclusions: Our study suggests that pre-treatment NLR may be associated with disease free survival in patients with prostate cancer, and could be introduced in clinical practice. NLR has the advantage of low economic cost and wide availability

VEGF and VEGFR polymorphisms affect clinical outcome in advanced renal cell carcinoma patients receiving first-line sunitinib

Background: Currently, sunitinib represents one of the therapeutic strongholds for renal cell carcinoma, but the criteria for treatment selection are lacking. We assessed the role of vascular endothelial growth factor (VEGF) and VEGF receptor (VEGFR) polymorphisms in the prediction of the clinical outcome in metastatic renal cell carcinoma (mRCC) patients.Methods:A total of 84 tumour samples from mRCC patients receiving first-line sunitinib were tested for VEGF and VEGFR single-nucleotide polymorphisms (SNPs). The SNP results were correlated with progression-free survival (PFS) and overall survival (OS).Results:Median PFS was 8.22 months, although whereas median OS was 32.13 months. The VEGF A rs833061 resulted significant in PFS (17 vs 4 months; P<0.0001) and OS (38 vs 10 months; P<0.0001). The VEGF A rs699947 was significant for PFS (18 vs 4 months; P=0.0001) and OS (37 vs 16 months; P<0.0001). The VEGF A rs2010963 was significant in PFS (18 vs 8 vs 2 months; P=0.0001) and OS (31 vs 36 vs 9 months; P=0.0045). The VEGR3 rs6877011 was significant in PFS (12 vs 4 months; P=0.0075) and OS (36 vs 17 months; P=0.0001). At multivariate analysis, rs833061, rs2010963 and rs68877011 were significant in PFS, and rs833061 and rs68877011 were independent factors in OS.Conclusions:In our analysis, patients with TT polymorphism of rs833061, CC polymorphism of rs699947, CC polymorphism of rs2010963 and CG polymorphism of rs6877011 seem to have a worse PFS and OS when receiving first-line sunitini

Desarrollo de un test de detección temprana de trastornos de aprendizaje- test de velocidad de denominación

La evaluación de la velocidad de denominación permite la identificación temprana de niños en riesgo de desarrollar dislexia. Por lo tanto es importante contar con un test de velocidad de denominación que sea adecuadamente diseñado para nuestro contexto cultural. Debido a que las pruebas de denominación creadas en otros contextos culturales no funcionan adecuadamente al aplicarse transculturalmente, es que se propone construir el Test de Velocidad de Denominación. Éste es un test neuropsicológico para evaluar la velocidad de denominación (implica cronometrar el tiempo necesario para la producción de los nombres correctos de figuras que se le presentan al individuo). Se diseñarán las láminas y se realizará un estudio piloto para determinar las figuras más adecuadas a incluir. Luego se realizará un estudio de validez del test. Para completar ambos estudios se propone administrar alrededor de cincuenta tests a niños en edad pre-escolar (cuatro y cinco años) para el estudio de diseño de las láminas; y a alrededor de cien niños de primer a tercer grado se les administrará el Test de Velocidad de Denominación y dos subtests de la batería de lectura LEE, para el estudio de validez.Fil: Fernández, Alberto Luis. Universidad Católica de Córdoba. Facultad de Filosofía y Humanidades; Argentin

Desarrollo de un test de detección temprana de trastornos de aprendizaje- test de velocidad de denominación

La evaluación de la velocidad de denominación permite la identificación temprana de niños en riesgo de desarrollar dislexia. Por lo tanto es importante contar con un test de velocidad de denominación que sea adecuadamente diseñado para nuestro contexto cultural. Debido a que las pruebas de denominación creadas en otros contextos culturales no funcionan adecuadamente al aplicarse transculturalmente, es que se propone construir el Test de Velocidad de Denominación. Éste es un test neuropsicológico para evaluar la velocidad de denominación (implica cronometrar el tiempo necesario para la producción de los nombres correctos de figuras que se le presentan al individuo). Se diseñarán las láminas y se realizará un estudio piloto para determinar las figuras más adecuadas a incluir. Luego se realizará un estudio de validez del test. Para completar ambos estudios se propone administrar alrededor de cincuenta tests a niños en edad pre-escolar (cuatro y cinco años) para el estudio de diseño de las láminas; y a alrededor de cien niños de primer a tercer grado se les administrará el Test de Velocidad de Denominación y dos subtests de la batería de lectura LEE, para el estudio de validez.Fil: Fernández, Alberto Luis. Universidad Católica de Córdoba. Facultad de Filosofía y Humanidades; Argentin

Deep learning-based algorithm for postoperative glioblastoma MRI segmentation: a promising new tool for tumor burden assessment

Objective: Clinical and surgical decisions for glioblastoma patients depend on a tumor imaging-based evaluation. Artificial Intelligence (AI) can be applied to magnetic resonance imaging (MRI) assessment to support clinical practice, surgery planning and prognostic predictions. In a real-world context, the current obstacles for AI are low-quality imaging and postoperative reliability. The aim of this study is to train an automatic algorithm for glioblastoma segmentation on a clinical MRI dataset and to obtain reliable results both pre- and post-operatively. Methods: The dataset used for this study comprises 237 (71 preoperative and 166 postoperative) MRIs from 71 patients affected by a histologically confirmed Grade IV Glioma. The implemented U-Net architecture was trained by transfer learning to perform the segmentation task on postoperative MRIs. The training was carried out first on BraTS2021 dataset for preoperative segmentation. Performance is evaluated using DICE score (DS) and Hausdorff 95% (H95). Results: In preoperative scenario, overall DS is 91.09 (± 0.60) and H95 is 8.35 (± 1.12), considering tumor core, enhancing tumor and whole tumor (ET and edema). In postoperative context, overall DS is 72.31 (± 2.88) and H95 is 23.43 (± 7.24), considering resection cavity (RC), gross tumor volume (GTV) and whole tumor (WT). Remarkably, the RC segmentation obtained a mean DS of 63.52 (± 8.90) in postoperative MRIs. Conclusions: The performances achieved by the algorithm are consistent with previous literature for both pre-operative and post-operative glioblastoma's MRI evaluation. Through the proposed algorithm, it is possible to reduce the impact of low-quality images and missing sequences

Observation of Large Missing-Momentum \u3cb\u3e(e, e\u27 p)\u3c/b\u3e Cross-Section Scaling and the Onset of Correlated-Pair Dominance in Nuclei

We report the measurement of B scaling in (e,e′p) cross-section ratios off nuclei relative to deuterium at large missing momentum of 350 ≤ Pmiss ≤ 600 MeV/c. The observed scaling extends over a kinematic range of 0.7 ≤ B ≤ 1.8, which is significantly wider than 1.4 ≤ B ≤ 1.8 previously observed for inclusive (e,e′) cross-section ratios. The B-integrated cross-section ratios become constant (i.e., scale) beginning at pmiss ≈ kF, the nuclear Fermi momentum. Comparing with theoretical calculations we find good agreement with generalized contact formalism calculations for high missing momentum (\u3e375 MeV /c), suggesting the observed scaling results from interacting with nucleons in short-range correlated (SRC) pairs. For low missing momenta, mean-field calculations show good agreement with the data for pmiss \u3c kF, and suggest a potential non-negligible contribution to the measured cross-section ratios from scattering off single, uncorrelated, nucleons up to pmiss ≈ 350 MeV /c. Therefore, SRCs become dominant in nuclei at pmiss ≈ 350 MeV /c, well above the nuclear Fermi Surface of kF ≈ 250 MeV/c

Cancer and Pregnancy: Estimates in Italy from Record-Linkage Procedures between Cancer Registries and the Hospital Discharge Database

Simple Summary Concurrence of pregnancy and cancer diagnosis is an uncommon but not rare event: about 1 pregnancy-associated cancer (PAC) out of 1000 pregnancies is the estimation currently available. This frequency is growing due to postponing childbearing to age groups more at risk of cancer. Interest in this topic is both epidemiological and clinical: improvement of diagnostic and therapeutic techniques makes management of cancer increasingly compatible with pregnancy. The occurrence of PAC challenges women and clinicians who need to manage the two events, safeguarding fetal outcomes without changing the maternal prognosis. This retrospective study aims to provide estimates for PAC and its time trend in Italy by analyzing cross-referenced data from population-based cancer registries and hospital discharges. The proposed methodology is applicable to other populations with available data from Cancer Registries linkable at an individual level with hospitalizations.Abstract The aim of this study is to describe the frequency and trend of pregnancy-associated cancer (PAC) in Italy, an increasingly relevant phenomenon due to postponing age at childbirth. To this purpose, a population-based retrospective longitudinal study design based on cohorts of women aged 15-49 diagnosed with cancer and concomitant pregnancy is proposed. The study uses 19 population-based Cancer Registries, covering about 22% of Italy, and linked at an individual level with Hospital Discharge Records. A total of 2,861,437 pregnancies and 3559 PAC are identified from 74,165 women of the cohort with a rate of 1.24 PAC per 1000 pregnancies. The most frequent cancer site is breast (24.3%), followed by thyroid (23.9%) and melanoma (14.3%). The most frequent outcome is delivery (53.1%), followed by voluntary termination of pregnancy and spontaneous abortion (both 12.0%). The trend of PAC increased from 2003 to 2015, especially when the outcome is delivery, thus confirming a new attitude of clinicians to manage cancer throughout pregnancy. This represents the first attempt in Italy to describe PAC from Cancer Registries data; the methodology is applicable to other areas with the same data availability. Evidence from this study is addressed to clinicians for improving clinical management of women with PAC

Monotonicity, frustration, and ordered response: an analysis of the energy landscape of perturbed large-scale biological networks

<p>Abstract</p> <p>Background</p> <p>For large-scale biological networks represented as signed graphs, the index of frustration measures how far a network is from a monotone system, i.e., how incoherently the system responds to perturbations.</p> <p>Results</p> <p>In this paper we find that the frustration is systematically lower in transcriptional networks (modeled at functional level) than in signaling and metabolic networks (modeled at stoichiometric level). A possible interpretation of this result is in terms of energetic cost of an interaction: an erroneous or contradictory transcriptional action costs much more than a signaling/metabolic error, and therefore must be avoided as much as possible. Averaging over all possible perturbations, however, we also find that unlike for transcriptional networks, in the signaling/metabolic networks the probability of finding the system in its least frustrated configuration tends to be high also in correspondence of a moderate energetic regime, meaning that, in spite of the higher frustration, these networks can achieve a globally ordered response to perturbations even for moderate values of the strength of the interactions. Furthermore, an analysis of the energy landscape shows that signaling and metabolic networks lack energetic barriers around their global optima, a property also favouring global order.</p> <p>Conclusion</p> <p>In conclusion, transcriptional and signaling/metabolic networks appear to have systematic differences in both the index of frustration and the transition to global order. These differences are interpretable in terms of the different functions of the various classes of networks.</p