Analysis of Primary and Secondary Ewing Sarcoma Outcomes

https://openworks.mdanderson.org/sumexp22/1141/thumbnail.jp

Planktic Foraminifera-Based Sea Surface Temperature Estimates and Late Quaternary Oceanography off New Zealand's West Coast

Planktic foraminiferal assemblages were used to investigate the paleoceanography of the Eastern Tasman Sea over the last 480 kyrs (Marine Isotope Stages 12-1). One hundred and sixty-two faunas (96 picked and identified as part of this project (MIS 12-6) added to 66 census counts from Dr. M. Crundwell (MIS 6-1)) have been assembled from Marion Dufresne piston core MD06-2986 (~43˚ S. off New Zealand‟s west coast, 1477 m water depth). Faunal changes through the last five glacial-interglacial cycles are used to track surface water mass movement. Glacial periods are dominated by the eutrophic species Globigerina bulloides, with significant contributions from the temperate species Globoconella inflata. Temperate species Neogloboquadrina incompta and Gc. inflata dominate interglacials, with the former dominating the warmer parts and the latter dominating the cooler parts of the interglacials. Modern Analogue Technique (MAT) and an Artificial Neural Network (ANN) were used to estimate past sea surface temperatures (SST) based on the foraminiferal census counts data (23 species, ~46,000 specimens). SSTs show that MIS 12 was the longest, sustained cold period, while the coldest temperature was recorded in MIS 5d (~8º C). Interglacials MIS 11 and 5e are the two warmest stages of the record, with SSTs reaching ~18.5º C, about ~2º C warmer than present day. We find that contrary to either the western Tasman Sea or offshore eastern New Zealand, the eastern Tasman Sea has been fairly isolated from any major influx of subpolar or subtropical species carried in with surface water from either high or low latitude sources. Subtropical taxa abundance (Globigerinoides ruber, Neogloboquadrina dutertrei (D), Globigerinoides sacculifer, Globigerinella aequilateralis, Sphaeroidinellopsis dehiscens, Truncorotalia truncatulinoides (D), Beella digitata) is low (average ~0.6%) and only prominent during peak interglacials. Subantarctic taxa abundance (Neogloboquadrina pachyderma, Neogloboquadrina dutertrei (S)) is low (average ~5.1%), but significant, particularly in glacial periods. Comparison of faunal and SSTANN data along with ratios of Nq. pachyderma:Nq. incompta (previously referred to as coiling ratios of Nq. pachyderma) and absolute abundance of planktic productivity (a productivity proxy) suggest that the STF migrated northwards towards the site in all glacial periods, and may have moved over the site in MIS 12 and possibly MIS 5d. A latitudinal SSTANN 25 comparison between offshore eastern and western New Zealand reveals that MD06-2986 (~43º S) is most similar (~0.5º C) to ODP Site 1125 (~42º S). On the contrary, ODP Site 1119 (44º S) is ~5º C cooler than MD06-2986. This comparison highlights the significant changes in surface water masses off eastern New Zealand that exist in such a short span of latitude because of the influence of a complex submarine topography

Pacific-wide pH snapshots reveal that high coral cover correlates with low, but variable pH

© The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Manzello, D. P., Enochs, I. C., Carlton, R., Bruckner, A., Kolodziej, G., Dempsey, A., & Renaud, P. Pacific-wide pH snapshots reveal that high coral cover correlates with low, but variable pH. Bulletin of Marine Science, 97(1), (2021): 239-256, https://doi.org/10.5343/bms.2019.0100.Ocean acidification (OA) is impairing the construction of coral reefs while simultaneously accelerating their breakdown. The metabolism of different reef organism assemblages alters seawater pH in different ways, possibly buffering or exacerbating OA impacts. In spite of this, field data relating benthic community structure and seawater pH are sparse. We collected pH time-series data snapshots at 10 m depth from 28 different reefs (n = 13 lagoon, n = 15 fore reef) across 22 Pacific islands, spanning 31° latitude and 90° longitude. Coincident with all deployments, we measured percent cover of the benthic community. On fore reefs, high coral cover (CC) negatively correlated with mean and minimum pH, but positively correlated with pH variability. Conversely, pH minima were positively correlated to coverage of coralline and turf algae. Benthic cover did not correlate with pH in lagoonal reefs. From 0% to 100% CC, mean pH and aragonite saturation state (Ωarag) declined −0.081 and −0.51, respectively, while declines in minimum values were greater (Δmin pH = −0.164, Δmin Ωarag = −0.96). Based upon previously published relationships, the mean pH decline from 0% to 100% CC would depress coral calcification 7.7%–18.0% and increase biologically-mediated dissolution 13.5%–27.9%, with pH minima depressing dark coral calcification 14.4%–35.2% and increasing biologically-mediated dissolution 31.0%–62.2%. This spatially expansive dataset provides evidence that coral reefs with the highest coral cover may experience the lowest and most extreme pH values with OA.We thank the Khaled bin Sultan Living Ocean’s Foundation and the crew of the M/Y Golden Shadow. B Beck, J Monteiro, and many others assisted with field work. The Khaled bin Sultan Living Ocean’s Foundation supported the Global Reef Expedition. NOAA’s Coral Reef Conservation Program and Ocean Acidification Program support DP Manzello, IC Enochs, and G Kolodziej

Prognostic Role of Elevated Myeloperoxidase in Patients with Acute Coronary Syndrome: A Systemic Review and Meta-Analysis

Background. Myocardial inflammation following acute ischemic injury has been linked to poor cardiac remodeling and heart failure. Many studies have linked myeloperoxidase (MPO), a neutrophil and inflammatory marker, to cardiac inflammation in the setting of acute coronary syndrome (ACS). However, the prognostic role of MPO for adverse clinical outcomes in ACS patients has not been well established. Methods. MEDLINE and Cochrane databases were searched for studies from 1975 to March 2018 that investigated the prognostic value of serum MPO in ACS patients. Studies which have dichotomized patients into a high MPO group and a low MPO group reported clinical outcomes accordingly and followed up patients for at least 30 days to be eligible for enrollment. Data were analyzed using random-effects model. Sensitivity analyses were conducted for quality control. Results. Our meta-analysis included 13 studies with 9090 subjects and a median follow-up of 11.4 months. High MPO level significantly predicted mortality (odds ratio (OR) 2.03; 95% confidence interval (CI): 1.40-2.94; ), whereas it was not significantly predictive of major adverse cardiac events and recurrent myocardial infarction (MI) (OR 1.28; CI: 0.92-1.77, and OR 1.23; CI: 0.96-1.58, , respectively). Hypertension, diabetes mellitus, and age did not affect the prognostic value of MPO for clinical outcomes, whereas female gender and smoking status have a strong influence on the prognostic value of MPO in terms of mortality and recurrent MI (metaregression coefficient -8.616: 95% CI -14.59 to -2.633, and 4.88: 95% CI 0.756 to 9.0133, , respectively). Conclusions. Our meta-analysis suggests that high MPO levels are associated with the risk of mortality and that MPO can be incorporated in risk stratification models that guide therapy of high-risk ACS patients

UTRGV Student Run Clinic: The Past, The Present, and The Future

Purpose: The UTRGV SOM Student Run Clinic (SRC) is a student- led organization that provides free primary care and promotes health equity in the Rio Grande Valley. Through the SRC, barriers of access to healthcare and health promotion are targeted, especially by emphasizing health literacy and patient advocacy. The SRC benefits not only our patients but medical students who work in the clinic, learning about the unique needs and culture of the underserved community while gaining clinical experience. Description: The SRC brings teams of volunteer medical students and physicians to Peñitas, TX to provide free primary healthcare to vulnerable populations, including uninsured, undocumented, and low-income people. Since its start, SRC has grown through success and obstacles, such as structuring all our volunteer teams to include at least one Spanish speaker to provide care in the patients preferred language and establishing culturally competent relationships with the Peñitas community. Partners: The SRC relies on our partnerships: the Peñitas community, medical student and physician volunteers, and the Proyecto Desarrollo Humano (PDH). PDH is a non-profit organization in Peñitas that allows us use of their clinic space as well as gives our patients continuity of care between our operations in their own clinic. The community of Peñitas is a source of our patients but also of clinic staff and promotoras that connect the patients to external resources. Medical student volunteers work in teams to conduct patient interviews and present to physician volunteers, who teach students and see patients. The SRC board of medical students manages and executes the clinic operations. Looking Ahead: The SRC is an important part of decreasing disparities in the colonia we serve. We will perform a literature review of SRC publications, review and realign our board member roles, and perform an analysis of our Strengths, Weaknesses, Opportunities and Threats (SWOT) with stakeholders to strategize for our future. Lastly, we will develop and present our five-year strategic plan as a result of this exercis

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Genetic stratification of depression by neuroticism: revisiting a diagnostic tradition

Background. Major depressive disorder and neuroticism share a large genetic basis. We sought to determine whether this shared basis could be decomposed to identify genetic factors that are specific to depression. Methods. We analysed summary statistics from genome-wide association studies of depression (from the Psychiatric Genomics Consortium, 23andMe, and UK Biobank) and compared them to genome-wide association studies (GWAS) of neuroticism (from UK Biobank). First, we used a pairwise GWAS analysis to classify variants as associated with only depression, with only neuroticism, or with both. Second, we estimated partial genetic correlations to test whether the depression’s genetic link with other phenotypes was explained by shared overlap with neuroticism. Results. We found evidence that most genomic regions (25/37) associated with depression are likely to be shared with neuroticism. The overlapping common genetic variance of depression and neuroticism was genetically correlated primarily with psychiatric disorders. We found that the genetic contributions to depression, that was not shared with neuroticism, was positively correlated with metabolic phenotypes and cardiovascular disease, and negatively correlated with the personality trait conscientiousness. After removing shared genetic overlap with neuroticism, depression still had a specific association with schizophrenia, bipolar disorder, coronary artery disease, and age of first birth. Independent of depression, neuroticism had specific genetic correlates in ulcerative colitis, pubertal growth, anorexia, and education. Conclusion. Our findings demonstrate that, while genetic risk factors for depression are largely shared with neuroticism, there are also non-neuroticism related features of depression that may be useful for further patient or phenotypic stratification

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Analysis of Primary and Secondary Ewing Sarcoma Outcomes

Background: Ewing Sarcoma (EWS) is a rare cancer of bone and soft tissue that predominately occurs in adolescents and young adults. EWS is often associated with a second malignancy, which can occur before or after the EWS diagnosis. EWS occurring after a prior malignancy is less common and understudied. We aimed to determine whether clinical presentations and long-term survival were different between primary and secondary EWS. Method: Patients diagnosed with EWS and confirmed by the EWSR-FLI1 fusion transcript by pathology reports at MD Anderson were analyzed by a retrospective chart review. Patients with a Peripheral Neuro-Ectodermal Tumor (PNET) diagnosis were not included in our cohort. Overall survival was determined by Kaplan-Meier methods and calculated using the log-rank test. Differences in average survival were calculated with two-sample t tests. Results: Twenty-two cases of secondary EWS were reported, accounting for 47.8% of all EWS cases. Patients with secondary EWS were diagnosed with EWS at an older age than patients with primary EWS (47.9 years vs 30.6 years, p = 0.004). Patients with secondary EWS had a significantly lower five-year survival rate (16.7% vs 62.2%, p Conclusion: Secondary EWS patients are diagnosed with EWS at an older age, have poorer long-term survival, take more time to develop a future malignancy, and respond worse to radiation therapy than primary EWS patients. These findings indicate that secondary EWS patients are distinct from primary EWS patients and possibly have a unique germline mutation predisposing them to EWS