Assessing Oral Intake Outcomes in Head and Neck Cancer Patients Treated with Definitive Radiation with or Without Chemotherapy

Background: Head and neck cancer treatment modalities can significantly impact functional outcomes of patients, especially oral intake (Brizel, et al N Engl J Med 1998; Kamal, et al Support Care Cancer 2019). Radiation therapy in particular has been associated with posttreatment xerostomia and dysphagia (Adelstein, et al J Clin Oncol 2003; Hutcheson, et al Cancer 2013) which can affect quality of life and impair weight gain, contributing to worse long-term outcomes (Payakachat, et al Head Neck, 2013). Early speech-language pathology intervention has shown to be effective in improving these functional outcomes in this population (Greco, et al Int J Radiat Oncol Biol Phys 2018). Objectives: The purpose of this study is to evaluate oral intake outcomes of patients undergoing definitive radiation therapy with or without chemotherapy for head and neck squamous cell carcinoma. Methods: A cohort of patients with stage III or IV squamous cell carcinoma of the oropharynx, larynx, and hypopharynx treated with definitive radiation therapy with or without chemotherapy were extracted from system database. Patients with evidence of distant metastases were excluded. Swallow function was assessed both pre- and post-treatment (within four months of treatment initiation or conclusion) with the Functional Oral Intake Scale (FOIS) (Crary et al, Arch Phys Med Rehabil, 2005) as measured by a Speech-Language Pathologist (SLP) involved in the patient\u27s care. Body mass index (BMI) was evaluated within four months of treatment initiation and one year after treatment completion. The use of enteral feeding at one-year post-treatment was also assessed. Data was analyzed with descriptive statistical methods, Wilcoxon sign rank tests, and [chi]2d tests. Results: The sample included 152 patients. Table 1 highlights patient baseline characteristics, tumor location, and treatment. FOIS scores decreased from pre-treatment to post-treatment, with 75% of patients having a FOIS of 7 at pre-treatment compared with only 13.8% at the post-treatment time point (Table 1). Median BMI also decreased from pre-treatment to one-year post-treatment (Table 2). At one-year post-treatment, 23.7% patients (n=33) required enteral feeding. Conclusions: Definitive radiation therapy with or without chemotherapy in the treatment of head and neck cancer is associated with impaired oral intake. Treatment is also associated with decreases in BMI and longer use of enteral feeding, which may reflect sequelae of impaired oral intake. These factors have a negative impact on quality of life and can lead to long-term morbidity. Integrative treatment plans would therefore benefit from speech-language pathology interventions throughout the treatment process

Assessing Oral Intake Outcomes in Head and Neck Cancer Patients Treated with Definitive Radiation with or Without Chemotherapy

Background: Head and neck cancer treatment modalities can significantly impact functional outcomes of patients, especially oral intake (Brizel, et al N Engl J Med 1998; Kamal, et al Support Care Cancer 2019). Radiation therapy in particular has been associated with posttreatment xerostomia and dysphagia (Adelstein, et al J Clin Oncol 2003; Hutcheson, et al Cancer 2013) which can affect quality of life and impair weight gain, contributing to worse long-term outcomes (Payakachat, et al Head Neck, 2013). Early speech-language pathology intervention has shown to be effective in improving these functional outcomes in this population (Greco, et al Int J Radiat Oncol Biol Phys 2018). Objectives: The purpose of this study is to evaluate oral intake outcomes of patients undergoing definitive radiation therapy with or without chemotherapy for head and neck squamous cell carcinoma. Methods: A cohort of patients with stage III or IV squamous cell carcinoma of the oropharynx, larynx, and hypopharynx treated with definitive radiation therapy with or without chemotherapy were extracted from system database. Patients with evidence of distant metastases were excluded. Swallow function was assessed both pre- and post-treatment (within four months of treatment initiation or conclusion) with the Functional Oral Intake Scale (FOIS) (Crary et al, Arch Phys Med Rehabil, 2005) as measured by a Speech-Language Pathologist (SLP) involved in the patient\u27s care. Body mass index (BMI) was evaluated within four months of treatment initiation and one year after treatment completion. The use of enteral feeding at one-year post-treatment was also assessed. Data was analyzed with descriptive statistical methods, Wilcoxon sign rank tests, and [chi]2d tests. Results: The sample included 152 patients. Table 1 highlights patient baseline characteristics, tumor location, and treatment. FOIS scores decreased from pre-treatment to post-treatment, with 75% of patients having a FOIS of 7 at pre-treatment compared with only 13.8% at the post-treatment time point (Table 1). Median BMI also decreased from pre-treatment to one-year post-treatment (Table 2). At one-year post-treatment, 23.7% patients (n=33) required enteral feeding. Conclusions: Definitive radiation therapy with or without chemotherapy in the treatment of head and neck cancer is associated with impaired oral intake. Treatment is also associated with decreases in BMI and longer use of enteral feeding, which may reflect sequelae of impaired oral intake. These factors have a negative impact on quality of life and can lead to long-term morbidity. Integrative treatment plans would therefore benefit from speech-language pathology interventions throughout the treatment process

Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning

IntroductionOrgan-at-risk segmentation for head and neck cancer radiation therapy is a complex and time-consuming process (requiring up to 42 individual structure, and may delay start of treatment or even limit access to function-preserving care. Feasibility of using a deep learning (DL) based autosegmentation model to reduce contouring time without compromising contour accuracy is assessed through a blinded randomized trial of radiation oncologists (ROs) using retrospective, de-identified patient data.MethodsTwo head and neck expert ROs used dedicated time to create gold standard (GS) contours on computed tomography (CT) images. 445 CTs were used to train a custom 3D U-Net DL model covering 42 organs-at-risk, with an additional 20 CTs were held out for the randomized trial. For each held-out patient dataset, one of the eight participant ROs was randomly allocated to review and revise the contours produced by the DL model, while another reviewed contours produced by a medical dosimetry assistant (MDA), both blinded to their origin. Time required for MDAs and ROs to contour was recorded, and the unrevised DL contours, as well as the RO-revised contours by the MDAs and DL model were compared to the GS for that patient.ResultsMean time for initial MDA contouring was 2.3 hours (range 1.6-3.8 hours) and RO-revision took 1.1 hours (range, 0.4-4.4 hours), compared to 0.7 hours (range 0.1-2.0 hours) for the RO-revisions to DL contours. Total time reduced by 76% (95%-Confidence Interval: 65%-88%) and RO-revision time reduced by 35% (95%-CI,-39%-91%). All geometric and dosimetric metrics computed, agreement with GS was equivalent or significantly greater (p<0.05) for RO-revised DL contours compared to the RO-revised MDA contours, including volumetric Dice similarity coefficient (VDSC), surface DSC, added path length, and the 95%-Hausdorff distance. 32 OARs (76%) had mean VDSC greater than 0.8 for the RO-revised DL contours, compared to 20 (48%) for RO-revised MDA contours, and 34 (81%) for the unrevised DL OARs.ConclusionDL autosegmentation demonstrated significant time-savings for organ-at-risk contouring while improving agreement with the institutional GS, indicating comparable accuracy of DL model. Integration into the clinical practice with a prospective evaluation is currently underway

Development of a Definition of Postacute Sequelae of SARS-CoV-2 Infection

IMPORTANCE: SARS-CoV-2 infection is associated with persistent, relapsing, or new symptoms or other health effects occurring after acute infection, termed postacute sequelae of SARS-CoV-2 infection (PASC), also known as long COVID. Characterizing PASC requires analysis of prospectively and uniformly collected data from diverse uninfected and infected individuals. OBJECTIVE: To develop a definition of PASC using self-reported symptoms and describe PASC frequencies across cohorts, vaccination status, and number of infections. DESIGN, SETTING, AND PARTICIPANTS: Prospective observational cohort study of adults with and without SARS-CoV-2 infection at 85 enrolling sites (hospitals, health centers, community organizations) located in 33 states plus Washington, DC, and Puerto Rico. Participants who were enrolled in the RECOVER adult cohort before April 10, 2023, completed a symptom survey 6 months or more after acute symptom onset or test date. Selection included population-based, volunteer, and convenience sampling. EXPOSURE: SARS-CoV-2 infection. MAIN OUTCOMES AND MEASURES: PASC and 44 participant-reported symptoms (with severity thresholds). RESULTS: A total of 9764 participants (89% SARS-CoV-2 infected; 71% female; 16% Hispanic/Latino; 15% non-Hispanic Black; median age, 47 years [IQR, 35-60]) met selection criteria. Adjusted odds ratios were 1.5 or greater (infected vs uninfected participants) for 37 symptoms. Symptoms contributing to PASC score included postexertional malaise, fatigue, brain fog, dizziness, gastrointestinal symptoms, palpitations, changes in sexual desire or capacity, loss of or change in smell or taste, thirst, chronic cough, chest pain, and abnormal movements. Among 2231 participants first infected on or after December 1, 2021, and enrolled within 30 days of infection, 224 (10% [95% CI, 8.8%-11%]) were PASC positive at 6 months. CONCLUSIONS AND RELEVANCE: A definition of PASC was developed based on symptoms in a prospective cohort study. As a first step to providing a framework for other investigations, iterative refinement that further incorporates other clinical features is needed to support actionable definitions of PASC

Researching COVID to Enhance Recovery (RECOVER) Adult Study Protocol: Rationale, Objectives, and Design

IMPORTANCE: SARS-CoV-2 infection can result in ongoing, relapsing, or new symptoms or other health effects after the acute phase of infection; termed post-acute sequelae of SARS-CoV-2 infection (PASC), or long COVID. The characteristics, prevalence, trajectory and mechanisms of PASC are ill-defined. The objectives of the Researching COVID to Enhance Recovery (RECOVER) Multi-site Observational Study of PASC in Adults (RECOVER-Adult) are to: (1) characterize PASC prevalence; (2) characterize the symptoms, organ dysfunction, natural history, and distinct phenotypes of PASC; (3) identify demographic, social and clinical risk factors for PASC onset and recovery; and (4) define the biological mechanisms underlying PASC pathogenesis. METHODS: RECOVER-Adult is a combined prospective/retrospective cohort currently planned to enroll 14,880 adults aged ≥18 years. Eligible participants either must meet WHO criteria for suspected, probable, or confirmed infection; or must have evidence of no prior infection. Recruitment occurs at 86 sites in 33 U.S. states, Washington, DC and Puerto Rico, via facility- and community-based outreach. Participants complete quarterly questionnaires about symptoms, social determinants, vaccination status, and interim SARS-CoV-2 infections. In addition, participants contribute biospecimens and undergo physical and laboratory examinations at approximately 0, 90 and 180 days from infection or negative test date, and yearly thereafter. Some participants undergo additional testing based on specific criteria or random sampling. Patient representatives provide input on all study processes. The primary study outcome is onset of PASC, measured by signs and symptoms. A paradigm for identifying PASC cases will be defined and updated using supervised and unsupervised learning approaches with cross-validation. Logistic regression and proportional hazards regression will be conducted to investigate associations between risk factors, onset, and resolution of PASC symptoms. DISCUSSION: RECOVER-Adult is the first national, prospective, longitudinal cohort of PASC among US adults. Results of this study are intended to inform public health, spur clinical trials, and expand treatment options

Multiple novel prostate cancer susceptibility signals identified by fine-mapping of known risk loci among Europeans

Genome-wide association studies (GWAS) have identified numerous common prostate cancer (PrCa) susceptibility loci. We have fine-mapped 64 GWAS regions known at the conclusion of the iCOGS study using large-scale genotyping and imputation in 25 723 PrCa cases and 26 274 controls of European ancestry. We detected evidence for multiple independent signals at 16 regions, 12 of which contained additional newly identified significant associations. A single signal comprising a spectrum of correlated variation was observed at 39 regions; 35 of which are now described by a novel more significantly associated lead SNP, while the originally reported variant remained as the lead SNP only in 4 regions. We also confirmed two association signals in Europeans that had been previously reported only in East-Asian GWAS. Based on statistical evidence and linkage disequilibrium (LD) structure, we have curated and narrowed down the list of the most likely candidate causal variants for each region. Functional annotation using data from ENCODE filtered for PrCa cell lines and eQTL analysis demonstrated significant enrichment for overlap with bio-features within this set. By incorporating the novel risk variants identified here alongside the refined data for existing association signals, we estimate that these loci now explain ∼38.9% of the familial relative risk of PrCa, an 8.9% improvement over the previously reported GWAS tag SNPs. This suggests that a significant fraction of the heritability of PrCa may have been hidden during the discovery phase of GWAS, in particular due to the presence of multiple independent signals within the same regio

Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk.

Blood pressure is a heritable trait influenced by several biological pathways and responsive to environmental stimuli. Over one billion people worldwide have hypertension (≥140 mm Hg systolic blood pressure or  ≥90 mm Hg diastolic blood pressure). Even small increments in blood pressure are associated with an increased risk of cardiovascular events. This genome-wide association study of systolic and diastolic blood pressure, which used a multi-stage design in 200,000 individuals of European descent, identified sixteen novel loci: six of these loci contain genes previously known or suspected to regulate blood pressure (GUCY1A3-GUCY1B3, NPR3-C5orf23, ADM, FURIN-FES, GOSR2, GNAS-EDN3); the other ten provide new clues to blood pressure physiology. A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function. We also observed associations with blood pressure in East Asian, South Asian and African ancestry individuals. Our findings provide new insights into the genetics and biology of blood pressure, and suggest potential novel therapeutic pathways for cardiovascular disease prevention

New genetic loci link adipose and insulin biology to body fat distribution.

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms

The genetic architecture of the human cerebral cortex

The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder

Defining the causes of sporadic Parkinson's disease in the global Parkinson's genetics program (GP2)

The Global Parkinson’s Genetics Program (GP2) will genotype over 150,000 participants from around the world, and integrate genetic and clinical data for use in large-scale analyses to dramatically expand our understanding of the genetic architecture of PD. This report details the workflow for cohort integration into the complex arm of GP2, and together with our outline of the monogenic hub in a companion paper, provides a generalizable blueprint for establishing large scale collaborative research consortia