Citations

AbstractCorrectly diagnosing and classifying seizures and epilepsies is paramount to ensure the delivery of optimal care to patients with epilepsy. Focal seizures, defined as those that originate within networks limited to one hemisphere, are primarily subdivided into focal aware, focal impaired awareness, and focal to bilateral tonic–clonic seizures. Focal epilepsies account for most epilepsy cases both in children and adults. In children, focal epilepsies are typically subdivided in three groups: self‐limited focal epilepsy syndromes (e.g., self‐limited epilepsy with centrotemporal spikes), focal epilepsy of unknown cause but which do not meet criteria for a self‐limited focal epilepsy syndrome, and focal epilepsy of known cause (e.g., structural lesions—developmental or acquired). In adults, focal epilepsies are often acquired and may be caused by a structural lesion such as stroke, infection and traumatic brain injury, or brain tumors, vascular malformations, metabolic disorders, autoimmune, and/or genetic causes. In addition to seizure semiology, neuroimaging, neurophysiology, and neuropathology constitute the cornerstones of a diagnostic evaluation. Patients with focal epilepsy who become drug‐resistant should promptly undergo assessment in an epilepsy center. After excluding pseudo‐resistance, these patients should be considered for presurgical evaluation as a means to identify the location and extent of the epileptogenic zone and assess their candidacy for a surgical procedure. The goal of this seminar in epileptology is to summarize clinically relevant information concerning focal epilepsies. This contributes to the ILAE's mission to ensure that worldwide healthcare professionals, patients, and caregivers continue to have access to high‐quality educational resources concerning epilepsy.

Abstract Introduction Breast cancer is uncommon in men. Almost all male breast cancers are hormone receptor-positive, HER2-negative, although the pathogenesis is not always attributable to an endocrine condition. A few studies have compared biological characteristics or molecular signatures with breast cancers in women. We sought to evaluate whether hormone receptor-related gene expression is different in cancers from men compared to equivalent cancers from women. SET2,3 index measures non-proliferative hormone receptor-related transcriptional activity in the cancer (SET-ER/PR index) and adjusts this for a Baseline Prognosis Index (BPI) that combines the measurements of tumor and nodal stage with a 4-gene molecular subtype (ESR1, PGR, ERBB2, and AURKA). Methods We received aliquots of total RNA from male patients with breast cancer included in the retrospective cohort study of the EORTC 10085/BCG/TBCRC/BIG/NCTN International Male Breast Cancer Program (NCT01101425). SET2,3 assay was performed using the QuantiGene assay (Thermo Fisher) using bead-based hybridization and laser spectroscopy (Luminex). The statistical analyses were performed by the EORTC statistician. The primary objective of the study was the assessment of the prognostic value of the SET2,3 index score in patients with early-stage hormone receptor-positive, HER2-negative male breast cancer, treated with endocrine therapy. Clinical outcomes (recurrence-free survival – RFS; overall survival – OS) were estimated by Kaplan-Meier curves and secondarily compared using multivariable Cox models adjusted for continuous SET2,3 index, tumor size, nodal status, age, and chemotherapy and radiotherapy use. An exploratory analysis to compare the SET2,3 index scores distribution in female and male breast cancer patients was also performed using results from the same assay performed on cancers from women selected on the same inclusion criteria. Due to the low numbers of male patients treated with neoadjuvant treatment (N=6), this analysis was restricted to patients treated with adjuvant treatment (n=315 male and 660 female). Results Of the 321 male patients with breast cancer analyzed, treated between 1990 and 2010, 211 (65.7%) were categorized as high SET2,3 index score, reflecting a high endocrine activity in the cancer and low risk of recurrence, and 110 patients (34.3%) categorized as being low score, reflecting low endocrine activity and high risk of recurrence. At 5 years, the RFS was 75.0% (95% CI, 67.4-81.1) in the high SET2,3 group versus 60.7% (95% CI, 49.1-70.5) in the low SET2,3 group (HR univariate, 0.49; 95% CI, 0.34-0.70; P< 0.0001). The 5-year OS rate among patients with a high SET2,3 index was 84.3% (95% CI, 45.5-73.8), in contrast of 67.8% (95% CI, 56.6-76.7) in the low SET2,3 group (HR univariate, 0.44; 95% CI, 0.30-0.65; P< 0.0001). SET2,3 was independently prognostic for OS, but not RFS in multivariable Cox models. In patients classified as low SET2,3, the addition of neo/adjuvant chemotherapy to adjuvant endocrine therapy was associated with 5-year OS of 76.0% (95% CI, 59.5-86.4) and in patients who received endocrine therapy alone the 5-year OS was 61.3% (95% CI, 45.5-73.8), an absolute difference of 14.7 percentage points. Overall, we did not observe a difference in the distributions (median, interquartile range) of SET2,3 index between men (2.4, 1.9–2.6) and women (2.3, 2.0–2.7). Conclusion SET2,3 index measurements of endocrine-related transcriptional activity in male patients with breast cancer were not different from measurements in female patients with breast cancer. SET2,3 was prognostic in male breast cancer and our exploratory analysis suggests that chemotherapy might improve the poor prognosis for men with breast cancer that has low SET2,3 index. This study was funded by the Breast Cancer Research Foundation (BCRF). Citation Format: Danielle B. Zakon, Coralie Poncet, Fatima Cardoso, Neven Anouk, Vicente Valero, Stefan Aebi, Kim Benstead, Oliver Bogler, Lissandra Dal Lago, Judith Fraser, Carmela Caballero, Ingrid A. Hedenfalk, Larissa A. Korde, Barbro Linderholm, John WM Martens, Lavinia P. Middleton, Melissa Murray, Catherine M. Kelly, Cecilia Nilsson, Monika Nowaczyk, Stephanie Peeters, Melanie Beauvois, Peggy Porter, Carolien P. Schroder, Isabel T. Rubio, Kathryn Ruddy, Christi van Asperen, Danielle Van Den Weyngaert, Carolien HM van Deurzen, Elise van Leeuwen-Stok, Joanna M. Vermeij, John MS Bartlett, Antonio C. Wolff, Sharon H. Giordano, W. Fraser Symmans. PD6-11 Evaluation of the Sensitivity to Endocrine Therapy Index (SET2,3) in Early Male Breast Cancer: Results from an analysis in the EORTC 10085/TBCRC/BIG/NCTN International Male Breast Cancer Program [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD6-11.

Abstract Background: The prognostic value of stromal tumor-infiltrating lymphocytes (TILs) as a biomarker for triple-negative breast cancer (TNBC) has been extensively demonstrated in patients (pts) receiving (neo)adjuvant systemic therapy. In addition, several small studies suggest that a subset of pts with early-stage TNBC and high TILs have excellent long-term outcomes, even in the absence of systemic therapy [1-3]. However, data on the absolute risk of TNBC recurrence according to TIL levels in the absence of systemic therapy are limited and critical to inform the design of future systemic therapy de-escalation clinical trials. Methods: We conducted an individual patient data pooled analysis of 12 international cohorts of pts with TNBC treated with locoregional therapy but no systemic therapy. TNBC was defined as tumors with estrogen and progesterone receptor of < 1% and HER2 negative (IHC 0, 1+ or IHC 2+ and FISH negative) per local evaluation. TILs were locally assessed in hematoxylin & eosin-stained slides according to the International Immuno-Oncology Biomarker Working Group guidelines (www.tilsinbreastcancer.org). We used the Kaplan-Meier method to assess survival outcomes according to prespecified TIL thresholds: 30% and 50%. Confidence intervals (CI) for survival probabilities were calculated using a percentile bootstrap method. The primary endpoint was invasive disease-free survival (iDFS, STEEP 2.0 definition). Key secondary outcomes included recurrence-free survival (RFS), distant disease-free survival (DDFS) and overall survival (OS). Results: 1,835 pts diagnosed with TNBC between 1982 and 2017 who did not receive systemic therapy were included. The median age at diagnosis was 56 (IQR 38-71). Menopausal status was known in 1,184 women, of whom 78% were post-menopausal. The median tumor size was 2.0 cm (IQR 1.2-2.6). Most pts (87%) had no axillary lymph node involvement (N0). Most tumors were invasive ductal carcinoma (74%) and grade 3 (70%). The median level of TILs was 15% (IQR 5-40). The median duration of follow-up was 30.4 years (95% CI 29.9, 31.1). A total of 950 (52%) iDFS, 828 (45%) RFS, 767 (42%) DDFS events, and 604 (33%) deaths were observed. In multivariable analyses, higher TILs were independently associated with improved iDFS, RFS, DDFS, and OS beyond clinicopathological factors (likelihood ratio p< 10e-6). Each 10% increment in stromal TILs was associated with an 8% (95% CI: 6-11), 10% (95% CI: 7-13), and 13% (95% CI: 10-15) reduction in the risk of experiencing an iDFS, RFS or DDFS event, and with a 12% (95% CI: 9-15) reduction in the risk of death. iDFS, RFS, DDFS and OS rates according to different TIL thresholds and nodal status are shown in the Table. Of note, the RFS estimates (which exclude second non-breast primaries and contralateral breast cancers) were consistently higher than the iDFS counterparts (which include both), consistent with a high rate of contralateral breast cancers and second primary tumors in this cohort. Notably, patients with node-negative—and especially stage I—TNBC with high TILs had excellent survival rates at 10-year follow-up. Conclusion: TILs are highly prognostic in pts with systemically untreated early-stage TNBC. Pts with pN0 (and especially stage I) TNBC with high TILs exhibited very favorable long-term outcomes even in the absence of systemic therapy. These data define the natural history of TIL-rich TNBC pts and are crucial to identifying the optimal patient population for future chemotherapy and immunotherapy de-escalation clinical trials. References: [1] Leon-Ferre et al, 2017, PMID: 28913760 [2] Park et al, 2019, PMID: 31566659 [3] de Jong et al, 2022, PMID: 35353548 Table 5 and 10-year survival endpoints according TIL level, nodal status, and stage Citation Format: Roberto A. Leon-Ferre, Sarah Flora Jonas, Roberto Salgado, Sherene Loi, Vincent De Jong, Jodi M. Carter, Torsten Nielson, Samuel Leung, Nazia Riaz, Giuseppe Curigliano, Carmen Criscitiello, Vincent Cockenpot, Matteo Lambertini, Vera Suman, Barbro Linderholm, John WM Martens, Carolien HM van Deurzen, Mieke Timmermans, Tatsunori Shimoi, Shu Yazaki, Masayuki Yoshida, Sung-Bae Kim, Hee Jin Lee, Maria Vittoria Dieci, Guillaume Bataillon, Anne Salomon, Fabrice Andre, Marleen Kok, Sabine Linn, Matthew P. Goetz, Stefan Michiels. Stromal tumor-infiltrating lymphocytes identify early-stage triple-negative breast cancer patients with favorable outcomes at 10-year follow-up in the absence of systemic therapy: a pooled analysis of 1835 patients [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD9-05.

Abstract Lithium is regarded as the first-line treatment for bipolar disorder (BD), a severe and disabling mental disorder that affects about 1% of the population worldwide. Nevertheless, lithium is not consistently effective, with only 30% of patients showing a favorable response to treatment. To provide personalized treatment options for bipolar patients, it is essential to identify prediction biomarkers such as polygenic scores. In this study, we developed a polygenic score for lithium treatment response (Li+PGS) in patients with BD. To gain further insights into lithium's possible molecular mechanism of action, we performed a genome-wide gene-based analysis. Using polygenic score modeling, via methods incorporating Bayesian regression and continuous shrinkage priors, Li+PGS was developed in the International Consortium of Lithium Genetics cohort (ConLi+Gen: N=2,367) and replicated in the combined PsyCourse (N=89) and BipoLife (N=102) studies. The associations of Li+PGS and lithium treatment response — defined in a continuous ALDA scale and a categorical outcome (good response vs. poor response) were tested using regression models, each adjusted for the covariates: age, sex, and the first four genetic principal components. Statistical significance was determined at P<����������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������������

Abstract Background Mendelian randomization (MR) studies are susceptible to metadata errors (e.g. incorrect specification of the effect allele column) and other analytical issues that can introduce substantial bias into analyses. We developed a quality control (QC) pipeline for the Fatty Acids in Cancer Mendelian Randomization Collaboration (FAMRC) that can be used to identify and correct for such errors. Methods We collated summary association statistics from fatty acid and cancer genome-wide association studies (GWAS) and subjected the collated data to a comprehensive QC pipeline. We identified metadata errors through comparison of study-specific statistics to external reference data sets (the National Human Genome Research Institute-European Bioinformatics Institute GWAS catalogue and 1000 genome super populations) and other analytical issues through comparison of reported to expected genetic effect sizes. Comparisons were based on three sets of genetic variants: (i) GWAS hits for fatty acids, (ii) GWAS hits for cancer and (iii) a 1000 genomes reference set. Results We collated summary data from 6 fatty acid and 54 cancer GWAS. Metadata errors and analytical issues with the potential to introduce substantial bias were identified in seven studies (11.6%). After resolving metadata errors and analytical issues, we created a data set of 219 842 genetic associations with 90 cancer types, generated in analyses of 566 665 cancer cases and 1 622 374 controls. Conclusions In this large MR collaboration, 11.6% of included studies were affected by a substantial metadata error or analytical issue. By increasing the integrity of collated summary data prior to their analysis, our protocol can be used to increase the reliability of downstream MR analyses. Our pipeline is available to other researchers via the CheckSumStats package (https://github.com/MRCIEU/CheckSumStats).

Coronavirus disease 2019 (COVID-19) is caused by the novel coronavirus SARS-CoV-2 and has caused significant mortality and morbidity since it was first recognized in Wuhan, China in December 2019. Patients may suffer from a constellation of symptoms termed post-acute sequelae of COVID-19 (PASC) . Here we present findings of a retrospective cohort study describing the prevalence and predicting factors of patient-reported post-acute sequelae of COVID-19 (PASC). Categorical variables were summarized as frequency (percentage) and compared between vaccine status groups using Fisher’s exact test. Continuous variables were reported as median (range) and compared between the groups using Kruskal-Wallis test. All tests were two-sided with p value <0.05 considered statistically significant. Survey data from 132 patients with a median age of 45 years, 68% female, 83% Caucasian/Non-Hispanic. The most frequently reported PASC symptoms include fatigue (84.8%), dyspnea (54.5%), cognitive dysfunction (53%), myalgias (37.1%), lightheadedness or vertigo (36.4%), chest pain (34.8%), palpitations (34.8%), headaches (34.1%), arthralgias (31.8%), and unrefreshing sleep (31.1%). There is mounting evidence that supports higher prevalence of PASC in women, White/Caucasian, and middle-aged individuals. This knowledge can provide guidance to clinical practices to anticipate and support healthcare and self-care needs for patients at higher risk to developing PASC.