Novel role of prostate cancer risk variant rs7247241 on PPP1R14A isoform transition through allelic TF binding and CpG methylation.

Although previous studies identified numerous single nucleotide polymorphisms (SNPs) and their target genes predisposed to prostate cancer (PrCa) risks, SNP-related splicing associations are rarely reported. In this study, we applied distance-based sQTL analysis (sQTLseekeR) using RNA-seq and SNP genotype data from benign prostate tissue (n = 467) and identified significant associations in 3344 SNP-transcript pairs (P ≤ 0.05) at PrCa risk loci. We characterized a common SNP (rs7247241) and its target gene (PPP1R14A) located in chr19q13, an sQTL with risk allele T associated with upregulation of long isoform (P = 9.99E-7). We confirmed the associations in both TCGA (P = 2.42E-24) and GTEX prostate cohorts (P = 9.08E-78). To functionally characterize this SNP, we performed chromatin immunoprecipitation qPCR and confirmed stronger CTCF and PLAGL2 binding in rs7247241 C than T allele. We found that CTCF binding enrichment was negatively associated with methylation level at the SNP site in human cell lines (r = -0.58). Bisulfite sequencing showed consistent association of rs7247241-T allele with nearby sequence CpG hypermethylation in prostate cell lines and tissues. Moreover, the methylation level at CpG sites nearest to the CTCF binding and first exon splice-in (ψ) of PPP1R14A was significantly associated with aggressive phenotype in the TCGA PrCa cohort. Meanwhile, the long isoform of the gene also promoted cell proliferation. Taken together, with the most updated gene annotations, we reported a set of sQTL associated with multiple traits related to human prostate diseases and revealed a unique role of PrCa risk SNP rs7247241 on PPP1R14A isoform transition.

National trends in neoadjuvant chemotherapy utilization in patients with early-stage node-negative triple-negative breast cancer: the impact of the CREATE-X trial.

PURPOSE: Neoadjuvant chemotherapy (NAC) for triple-negative breast cancer (TNBC) allows for assessment of tumor pathological response and has survival implications. In 2017, the CREATE-X trial demonstrated survival benefit with adjuvant capecitabine in patients TNBC and residual disease after NAC. We aimed to assess national rates of NAC for cT1-2N0M0 TNBC before and after CREATE-X and examine factors associated with receiving NAC vs adjuvant chemotherapy (AC). METHODS: A retrospective cohort study of women with cT1-2N0M0 TNBC diagnosed from 2014 to 2019 in the National Cancer Database (NCDB) was performed. Variables were analyzed via ANOVA, Chi-squared, Fisher Exact tests, and a multivariate linear regression model was created. RESULTS: 55,633 women were included: 26.9% received NAC, 52.4% AC, and 20.7% received no chemotherapy (median ages 53, 59, and 71 years, p < 0.01). NAC utilization significantly increased over time: 19.5% in 2014-15 (n = 3,465 of 17,777), 27.1% in 2016-17 (n = 5,140 of 18,985), and 33.6% in 2018-19 (n = 6,337 of 18,871, p < 0.001). On multivariate analysis, increased NAC was associated with younger age (< 50), non-Hispanic white race/ethnicity, lack of comorbidities, cT2 tumors, care at an academic or integrated-network cancer program, and diagnosis post-2017 (p < 0.05 for all). Patients with government-provided insurance were less likely to receive NAC (p < 0.01). Women who traveled > 60 miles for treatment were more likely to receive NAC (p < 0.01). CONCLUSION: From 2014 to 2019, NAC utilization increased for patients with cT1-2N0M0 TNBC. Racial, socioeconomic, and access disparities were observed in who received NAC vs AC and warrants interventions to ensure equitable care.

Does Neoadjuvant Chemotherapy in Clinical T1-T2 N0 Triple-Negative Breast Cancer Increase the Extent of Axillary Surgery?

BACKGROUND: Current management strategies for early-stage triple-negative breast cancer (TNBC) include upfront surgery to determine pathologic stage to guide chemotherapy recommendations, or neoadjuvant chemotherapy (NAC) to de-escalate surgery, elucidate tumor response, and determine the role of adjuvant chemotherapy. However, patients who receive NAC with residual pathological nodal (pN) involvement require axillary lymph node dissection (ALND) as they are Z11/AMAROS ineligible. We aimed to evaluate the impact of NAC compared with upfront surgery on pN status and ALND rates in cT1-2N0 TNBC. METHODS: The National Cancer Database (NCDB) was queried for women with operable cT1-2N0 TNBC from 2014 to 2019. Demographic, clinicopathologic, and treatment data were collected. Multivariable linear regression analysis was performed to assess the odds of pN+ disease and undergoing ALND. RESULTS: Overall, 55,624 women were included: 26.9% (n = 14,942) underwent NAC and 73.1% (n = 40,682) underwent upfront surgery. The NAC cohort was younger (mean age 52.9 vs. 61.3 years; p < 0.001) with more cT2 tumors (71.6% vs. 31.0%; p < 0.001), and had lower ALND rates (4.3% vs. 5.5%; p < 0.001). The upfront surgery cohort was more likely to have one to three pathologically positive nodes (12.1% vs. 6.5%; odds ratio [OR] 2.37, 95% confidence interval (CI) 2.17-2.58; p < 0.001) but there was no difference in the likelihood of ALND (OR 1.1, 95% CI 0.99-1.24; p = 0.08). CONCLUSION: Patients who underwent upfront surgery were more likely to be pN+; however, ALND rates were similar between the two cohorts. Thus, the use of NAC does not result in a higher odds of ALND and the decision for NAC should be individualized and based on modern guidelines and systemic therapy benefits.

National Trends in "Going Flat" After Mastectomy.

INTRODUCTION: The "Going Flat" movement became widely publicized in 2016 and provides information and support to women who choose to forego post-mastectomy breast reconstruction (PMBR). The objectives of this study were to evaluate temporal trends in PMBR to ascertain the potential impact of this movement and assess which factors are associated with going flat. METHODS: A retrospective cohort analysis was performed using the NCDB of women with non-metastatic breast cancer who underwent mastectomy between 2004 and 2019. Trends in going flat after mastectomy were examined and stratified by age (< 50, 50-69, ≥ 70). A multivariate logistic regression model was used to identify factors associated with going flat. RESULTS: 650,983 patients met the inclusion criteria: 244,201 (37.5%) underwent PMBR and 406,782 (62.5%) went flat. Among women < 70, rates of going flat steadily decreased from 2004 to 2015 and then stabilized after 2015, coinciding with the rise of the "Going Flat" movement. In multivariate analysis, non-White race, older age, increasing comorbidities, government provided insurance, treatment at a community program, radiotherapy, and adjuvant chemotherapy were associated with a higher likelihood of going flat (p < 0.001). CONCLUSION: In the first 2 years after the "Going Flat" movement, the number of women going flat after mastectomy has stabilized in women < 70 for the first time in over a decade. These trends suggest that the social and cultural impact of this movement may have contributed to the stabilization of PMBR rates.

Associations Between Hospital Volume and Overall Survival After Surgery in Older Patients with Breast Cancer.

BACKGROUND: High-volume hospitals (HVHs) are associated with improved overall survival (OS) following surgery for breast cancer compared with low-volume hospitals (LVHs). We examined this association in patients age ≥ 80 years and described patient and treatment characteristics associated with HVHs. PATIENTS AND METHODS: The National Cancer Database was queried for women age ≥ 80 years who underwent surgery for stage I-III breast cancer between 2005 and 2014. Hospital volume was defined as the average number of cases during the year of the patient's index operation and the year prior. Hospitals were categorized into HVHs and LVHs using penalized cubic spline analysis of OS. A cutoff of ≥ 270 cases/year defined HVHs. RESULTS: Among 59,043 patients, 9110 (15%) were treated at HVHs and 49,933 (85%) at LVHs. HVHs were associated with more non-Hispanic Black and Hispanic patients, earlier stage disease (stage I 54.9% vs. 52.6%, p < 0.001), higher rates of breast-conserving surgery (BCS) (68.3% vs. 61.4%, p < 0.001), and adjuvant radiation (37.5% vs. 36.1%, p = 0.004). Improved OS was associated with surgery at a HVH (HR 0.85, CI 0.81-0.88), along with receipt of adjuvant chemotherapy (HR 0.73, CI 0.69-0.77), endocrine therapy (HR 0.70, CI 0.68-0.72), and radiation (HR 0.66, CI 0.64-0.68). CONCLUSIONS: Among patients with breast cancer age ≥ 80 years, undergoing surgery at a HVH was associated with improved OS. Patients who completed surgery at HVHs had earlier stage disease and more commonly received adjuvant radiation when appropriate. Processes of care at HVHs should be identified to improve outcomes in all settings.

Appendiceal Incidentalomas: Prevalence, Radiographic Characteristics, Management, and Outcomes.

BACKGROUND: Radiographically detected incidental appendiceal abnormalities, in this report termed "appendiceal incidentalomas" (AIs), are an ill-defined entity with an unknown prevalence of neoplasm. This study aimed to describe the prevalence, radiographic characteristics, and outcomes of patients with a diagnosis of AI. METHODS: The study reviewed the electronic health records for patients at a single institution undergoing abdominopelvic computed tomography and magnetic resonance imaging (MRI) from 2000 to 2020 for non-appendix-related complaints with mention of appendix abnormality in the radiology report. The suggested diagnosis at the index imaging was recorded. Outcomes were compared between the operative and non-operative patients. RESULTS: Of 5197 records, 484 were identified as reports of AIs (9 % of screened patients). Neoplasms were suggested radiographically in 16 % (n = 79) of the records, 59 % (47/79) of which were resected. Pathologically, 32 of the abnormalities were confirmed as neoplasms, yielding a diagnostic accuracy of 68 %. Compared with the non-operative patients, the operative patients had AIs with a larger mean diameter (22.7 ± 13.0 vs. 17.8 ±7.7 mm; p = 0.04), a higher colonoscopy rate (51 % vs. 22 %; p = 0.01), and diagnosis at a younger age (55.8 ± 15.6 vs. 67.2 ± 16.0 years; p = 0.003). The postoperative complications were minor (Clavien-Dindo grade 1 or 2) in 26 % and major (grades 3-5) in 4 % of the cases. During a median follow-up period of 28.3 months, 94 % of the patients were alive without disease, and 6 % died of other causes. The 32 non-operative suggested neoplastic AIs had a median follow-up period of 20.9 months. At this writing, 59 % of the operative patients are alive with a stable abnormal appendix, 13 % had no appendix abnormality at last follow-up visit, and 28 % have died of other causes. CONCLUSION: Neoplastic AIs are an uncommon finding and radiographically diagnosed with relatively high accuracy. Larger appendiceal diameter and younger age predict operative intervention. Although surgery is associated with favorable outcomes and minimal risk of postoperative complications, observation of suspected neoplastic AIs may be a safe alternative for select patients undergoing follow-up longitudinal imaging.

Primary Breast Neuroendocrine Tumors: An Analysis of the National Cancer Database.

BACKGROUND: Primary breast neuroendocrine tumors (BNETs) represent < 1% of breast cancers. Diagnosing BNETs can be challenging, and a limited amount of cohort data currently exists in literature. We aimed to describe primary BNET characteristics, treatment modalities, and survival outcomes through the National Cancer Database (NCDB). METHODS: A retrospective cohort analysis was performed using the NCDB from 2004 to 2017. BNET cases were compared with patients with invasive ductal carcinoma (IDC). A matched IDC cohort was created by matching patient age, race, and disease stage. Kaplan-Meier analysis was performed, and hazard ratios (HR) were calculated through the bootstrap sampling method. RESULTS: A total of 1389 BNET and 1,967,401 IDC cases were identified. When compared with IDC patients, BNET patients were older, had more comorbidities, and were more often male (p < 0.01). BNETs were larger, higher grade, and more frequently hormone receptor negative (p < 0.01). While BNET patients were treated with surgery and radiotherapy (p < 0.01) less often compared with IDC patients, they presented at later disease stage (p < 0.001) and received systemic treatment more frequently (53.5% vs. 40%, p < 0.01). Patients with BNET had increased mortality compared with the matched IDC cohort: stage 1 HR 1.8, stage 2 HR 2.0, stage 3 HR 1.8, and stage 4 HR 1.5 (p < 0.001 for all). CONCLUSION: Patients with BNET tend to present at higher clinical stages, are more frequently hormone receptor negative, and have inferior overall survival compared with patients with IDC. Further treatment strategies and studies are needed to elucidate optimal therapies to maximize patient outcomes.

Prognostic Outcomes of Signet Ring Cell Carcinoma of the Breast.

BACKGROUND: Signet ring cell breast carcinoma (SRCBC) is a rare variant of invasive lobular carcinoma and there are no large series characterizing its long-term prognosis. MATERIALS AND METHODS: The NCDB was queried from 2004-2016 to identify SRCBC patients. Patients were excluded if they had non-invasive tumors, multiple malignancies, or incomplete surgical data. Univariate analysis was performed utilizing chi-squared and Fischer's Exact tests. Kaplan-Meier and Cox proportional hazard models were used for survival analysis. RESULTS: 324 patients met inclusion criteria. Patients were mostly White (75.3%), ≥50 years of age (88.2%), female (98.5%), and had a low Charlson-Deyo score (82.7%). 34.5% had Stage IV disease and 78.1% had ER+ tumors. In patients with non-Stage IV disease, 91.5% received surgery: 49.5% had lumpectomy and 50.5% underwent mastectomy. Radiation therapy was used in 40.7% (71.4% with lumpectomy and 35.8% with mastectomy) and 50% received chemotherapy. Significant differences in unadjusted overall survival were seen at 5 and 10 years based on stage (P < 0.001). On multivariate analysis, ER+ patients showed an improved survival (HR 0.5, P < 0.01) but there was no difference in survival if ER+ patients received endocrine therapy (ET) (HR 0.9, P = 0.57). Non-metastatic patients who underwent surgery had improved overall survival compared to those that did not (HR 0.5, P = 0.02), but there was no survival difference based upon type of breast operation (P = 0.8). CONCLUSION: SRCBC frequently presents at an advanced stage. While ER+ patients appear to have improved survival, there was no clear survival benefit to receiving ET in ER+ patients.

Single-nucleotide polymorphism rs13426236 contributes to an increased prostate cancer risk via regulating MLPH splicing variant 4.

A prostate cancer risk single-nucleotide polymorphism (SNP), rs13426236, is significantly associated with melanophilin (MLPH) expression. To functionally characterize role of the rs13426236 in prostate cancer, we first performed splicing-specific expression quantitative trait loci analysis and refined the significant association of rs13426236 allele G with an increased expression of MLPH splicing transcript variant 4 (V4) (P = 7.61E-5) but not other protein-coding variants (V1-V3) (P > .05). We then performed an allele-specific reporter assay to determine if SNP-containing sequences functioned as an active enhancer. Compared to allele A, allele G of rs13426236 showed significantly higher luciferase activity on the promoter of the splicing transcript V4 (P < .03) but not on the promoter of transcript V1 (P > .05) in two prostate cancer cell lines (DU145 and 22Rv1). Cell transfection assays showed stronger effect of transcript V4 than V1 on promoting cell proliferation, invasion, and antiapoptotic activities. RNA profiling analysis demonstrated that transcript V4 overexpression caused significant expression changes in glycosylation/glycoprotein and metal-binding gene ontology pathways (FDR < 0.01). We also found that both transcripts V4 and V1 were significantly upregulated in prostate adenocarcinoma (P ≤ 2.49E-6) but only transcript V4 upregulation was associated with poor recurrence-free survival (P = .028, hazard ratio = 1.63, 95% confidence interval = 1.05-2.42) in The Cancer Genome Atlas data. This study provides strong evidence showing that prostate cancer risk SNP rs13426236 upregulates expression of MLPH transcript V4, which may function as a candidate oncogene in prostate cancer.

Rare and low-frequency variants and their association with plasma levels of fibrinogen, FVII, FVIII, and vWF.

Fibrinogen, coagulation factor VII (FVII), and factor VIII (FVIII) and its carrier von Willebrand factor (vWF) play key roles in hemostasis. Previously identified common variants explain only a small fraction of the trait heritabilities, and additional variations may be explained by associations with rarer variants with larger effects. The aim of this study was to identify low-frequency (minor allele frequency [MAF] ≥0.01 and <0.05) and rare (MAF <0.01) variants that influence plasma concentrations of these 4 hemostatic factors by meta-analyzing exome chip data from up to 76,000 participants of 4 ancestries. We identified 12 novel associations of low-frequency (n = 2) and rare (n = 10) variants across the fibrinogen, FVII, FVIII, and vWF traits that were independent of previously identified associations. Novel loci were found within previously reported genes and had effect sizes much larger than and independent of previously identified common variants. In addition, associations at KCNT1, HID1, and KATNB1 identified new candidate genes related to hemostasis for follow-up replication and functional genomic analysis. Newly identified low-frequency and rare-variant associations accounted for modest amounts of trait variance and therefore are unlikely to increase predicted trait heritability but provide new information for understanding individual variation in hemostasis pathways.

Phenomapping for novel classification of heart failure with preserved ejection fraction.

BACKGROUND: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous clinical syndrome in need of improved phenotypic classification. We sought to evaluate whether unbiased clustering analysis using dense phenotypic data (phenomapping) could identify phenotypically distinct HFpEF categories. METHODS AND RESULTS: We prospectively studied 397 patients with HFpEF and performed detailed clinical, laboratory, ECG, and echocardiographic phenotyping of the study participants. We used several statistical learning algorithms, including unbiased hierarchical cluster analysis of phenotypic data (67 continuous variables) and penalized model-based clustering, to define and characterize mutually exclusive groups making up a novel classification of HFpEF. All phenomapping analyses were performed by investigators blinded to clinical outcomes, and Cox regression was used to demonstrate the clinical validity of phenomapping. The mean age was 65±12 years; 62% were female; 39% were black; and comorbidities were common. Although all patients met published criteria for the diagnosis of HFpEF, phenomapping analysis classified study participants into 3 distinct groups that differed markedly in clinical characteristics, cardiac structure/function, invasive hemodynamics, and outcomes (eg, phenogroup 3 had an increased risk of HF hospitalization [hazard ratio, 4.2; 95% confidence interval, 2.0-9.1] even after adjustment for traditional risk factors [P<0.001]). The HFpEF phenogroup classification, including its ability to stratify risk, was successfully replicated in a prospective validation cohort (n=107). CONCLUSIONS: Phenomapping results in a novel classification of HFpEF. Statistical learning algorithms applied to dense phenotypic data may allow improved classification of heterogeneous clinical syndromes, with the ultimate goal of defining therapeutically homogeneous patient subclasses.

Changes in D-dimer and inflammatory biomarkers before ischemic events in patients with peripheral artery disease: The BRAVO Study.

Whether circulating biomarker levels increase shortly before an ischemic heart disease (IHD) event is unknown. We studied whether levels of D-dimer, C-reactive protein (CRP), and serum amyloid A (SAA) are higher within 2 months of an IHD event compared to time periods more than 2 months before the IHD event. We assembled 595 participants with peripheral artery disease (PAD) and followed them for up to 3 years. Blood samples were obtained every 2 months. The primary outcome was IHD events: myocardial infarctions, unstable angina, or IHD death. We used a nested case-control design. Fifty participants (cases) had events and were each matched by age, sex, duration in the study, and number of blood draws to two controls without events. Among cases, the mean D-dimer value of 1.105 obtained within 2 months of the event was higher than values obtained 10 months (0.68 mg/L, p<0.001), 12 months (0.71 mg/L, p=0.001), 16 months (0.65 mg/L, p=0.008), 20 months (p=0.032), 22 months (p=0.033), 26 months (p=0.038), and 32 months (p=0.04) before the event. Compared to controls, median D-dimer levels in cases were higher 4 months (p=0.017), 6 months (p=0.005), and 8 months (p=0.028) before the event. Values of CRP and SAA obtained within two months of an IHD event not consistently higher than values obtained during the prior months. In PAD participants with an IHD event, D-dimer was higher within 2 months of the event, compared to most values obtained 10 to 32 months previously. D-dimer was also higher in cases as compared to controls during most visits within 8 months of the IHD event.

Spontaneous involution of pediatric low-grade gliomas: high expression of cannabinoid receptor 1 (CNR1) at the time of diagnosis may indicate involvement of the endocannabinoid system.

BACKGROUND: Pediatric low-grade gliomas (P-LGG) consist of a mixed group of brain tumors that correspond to the majority of CNS tumors in children. Notably, they may exhibit spontaneous involution after subtotal surgical removal (STR). In this study, we investigated molecular indicators of spontaneous involution in P-LGG. METHODS: We performed an integrated molecular analysis including high throughput gene expression (GE), microRNA (miRNA) expression data of primary, untreated tumors from patients with P-LGG who underwent STR at our institution, with at least 10 years follow-up. RESULTS: We identified a set of protein-coding genes and miRNAs significantly differentially expressed in P-LGG that presented spontaneous involution (involution-I) or without progression (stable-S) after STR alone. The cannabinoid receptor 1 (CNR1 or CB1) gene (FC = 2.374; p value = 0.007) was at the top of the list and predicted to be regulated by hsa-miR-29b-3p (FC = -2.353, p value = 0.0001). CNR1 also showed a trend to be higher expressed in S/I by immunohistochemistry. CONCLUSIONS: The P-LGG, which remained stable or that presented spontaneous involution after STR, showed significantly higher CNR1 expression at the time of diagnosis. We hypothesize that high expression levels of CNR1 provide tumor susceptibility to the antitumor effects of circulating endocannabinoids like anandamide, resulting in tumor involution. This corroborates with reports suggesting that CNR1 agonists and activators of the endocannabinoid system may represent therapeutic opportunities for children with LGG. We also suggest that CNR1 may be a prognostic marker for P-LGG. This is the first time spontaneous involution of P-LGG has been suggested to be induced by endocannabinoids.

Meta-analysis based variable selection for gene expression data.

Recent advance in biotechnology and its wide applications have led to the generation of many high-dimensional gene expression data sets that can be used to address similar biological questions. Meta-analysis plays an important role in summarizing and synthesizing scientific evidence from multiple studies. When the dimensions of datasets are high, it is desirable to incorporate variable selection into meta-analysis to improve model interpretation and prediction. According to our knowledge, all existing methods conduct variable selection with meta-analyzed data in an "all-in-or-all-out" fashion, that is, a gene is either selected in all of studies or not selected in any study. However, due to data heterogeneity commonly exist in meta-analyzed data, including choices of biospecimens, study population, and measurement sensitivity, it is possible that a gene is important in some studies while unimportant in others. In this article, we propose a novel method called meta-lasso for variable selection with high-dimensional meta-analyzed data. Through a hierarchical decomposition on regression coefficients, our method not only borrows strength across multiple data sets to boost the power to identify important genes, but also keeps the selection flexibility among data sets to take into account data heterogeneity. We show that our method possesses the gene selection consistency, that is, when sample size of each data set is large, with high probability, our method can identify all important genes and remove all unimportant genes. Simulation studies demonstrate a good performance of our method. We applied our meta-lasso method to a meta-analysis of five cardiovascular studies. The analysis results are clinically meaningful.

Epigenetic modifications of cfDNA in liquid biopsy for the cancer care continuum.

This review provides a comprehensive overview of the latest advancements in the clinical utility of liquid biopsy, with a particular focus on epigenetic approaches aimed at overcoming challenges in cancer diagnosis and treatment. It begins by elucidating key epigenetic terms, including methylomics, fragmentomics, and nucleosomics. The review progresses to discuss methods for analyzing circulating cell-free DNA (cfDNA) and highlights recent studies showcasing the clinical relevance of epigenetic modifications in areas such as diagnosis, drug treatment response, minimal residual disease (MRD) detection, and prognosis prediction. While acknowledging hurdles like the complexity of interpreting epigenetic data and the absence of standardization, the review charts a path forward. It advocates for the integration of multi-omic data through machine learning algorithms to refine predictive models and stresses the importance of collaboration among clinicians, researchers, and data scientists. Such cooperative efforts are essential to fully leverage the potential of epigenetic features in clinical practice.

Body Composition and Energy Expenditure in Youth With Spina Bifida: Protocol for a Multisite, Cross-Sectional Study.

BACKGROUND: Obesity prevalence in youth with spina bifida is higher than in their typically developing peers. Obesity is associated with lifelong medical, psychological, and economic burdens. Successful prevention or treatment of obesity in individuals with spina bifida is compromised by (1) the lack of valid and reliable methods to identify body fat in a clinical setting and (2) limited data on energy expenditure that are necessary to provide daily caloric recommendations. OBJECTIVE: The objectives of this study will be to develop 2 algorithms for use in youth with spina bifida in a clinical setting, one to model body fat and one to predict total daily energy expenditure. In addition, physical activity and dietary intake will be described for the sample. METHODS: This multisite, prospective, national clinical study will enroll 232 youth with myelomeningocele aged 5 to 18 years (stratified by age and mobility). Participants will be enrolled for 1 week. Data obtained include 4 measures of body composition, up to 5 height measures, a ramped activity protocol, and a nutrition and physical activity screener. Participants will wear an accelerometer for the week. On the final study day, 2 samples of urine or saliva, which complete the doubly labeled water protocol, will be obtained. The analysis will include descriptive statistics, Bland-Altman plots, concordance correlation, and regression analysis. RESULTS: The study received extramural federal funding in July 2019. Data collection was initiated in March 2020. As of April 2024, a total of 143 (female participants: n=76, 53.1%; male participants: n=67, 46.9%) out of 232 participants have been enrolled. Data collection is expected to continue throughout 2024. A no-cost extension until November 2025 will be requested for data analysis and dissemination of findings. CONCLUSIONS: This study furthers previous pilot work that confirmed the acceptability and feasibility of obtaining alternate height, body composition, and energy expenditure measures. The findings from this study will enhance screening, prevention, and treatment of abnormal weight status by facilitating the accurate identification of youths' weight status category and recommendations of daily caloric needs for this population that is at higher risk of obesity. Furthermore, the findings have the potential to impact outcomes for youth diagnosed with disabilities other than spina bifida who experience similar challenges related to alterations in body composition or fat distribution or measurement challenges secondary to mobility issues or musculoskeletal problems. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/52779.