Efficacy and Safety of Umbilical Cord-Derived Mesenchymal Stromal Cell Therapy in Preclinical Models of Sepsis: A Systematic Review and Meta-analysis

BACKGROUND

In preclinical studies, mesenchymal stromal cells (MSCs), including umbilical cord-derived MSCs (UC-MSCs), demonstrate the ability to modulate numerous pathophysiological processes related to sepsis; however, a systematic synthesis of the literature is needed to assess the efficacy of UC-MSCs for treating sepsis.

OBJECTIVE

To examine the effects of UC-MSCs on overall mortality (primary outcome) as well as on organ dysfunction, coagulopathy, endothelial permeability, pathogen clearance, and systemic inflammation (secondary outcomes) at prespecified time intervals in preclinical models of sepsis.

METHODS

A systematic search was conducted on Embase, Ovid MEDLINE, and Web of Science up to June 20, 2023. Preclinical controlled studies using in vivo sepsis models with systemic UC-MSC administration were included. Meta-analyses were conducted and expressed as odds ratios (OR) and ratios of the weighted means with 95% CI for categorical and continuous data, respectively. Risk of bias was assessed with the SYRCLE tool.

RESULTS

Twenty-six studies (34 experiments, n = 1258 animals) were included in this review. Overall mortality was significantly reduced with UC-MSC treatment as compared to controls (OR: 0.26, 95% CI: 0.18-0.36). At various prespecified time intervals, UC-MSCs reduced surrogate measures of organ dysfunction related to the kidney, liver, and lung; reduced coagulopathy and endothelial permeability; and enhanced pathogen clearance from multiple sites. UC-MSCs also modulated systemic inflammatory mediators. No studies were rated as low risk across all SYCLE domains.

CONCLUSIONS

These results demonstrate the efficacy of UC-MSC treatment in preclinical sepsis models and highlight their potential as a therapeutic intervention for septic shock.

Learning Outcomes of "GetSMART," Education for Diagnostics and Targeted Treatment for HER2+ Metastatic Gastric and Colorectal Cancers

The treatment landscape for patients affected by gastric and colorectal cancer (G&CRC) has significantly broadened over the past decade. Molecular diagnostic methods have improved with a precision oncology-driven approach to the development of treatment options tailored to specific molecular targets, including the human epidermal growth factor 2 (HER2). While scientific evidence on the role of HER2 in G&CRC has improved, there has been a lag in general understanding and applications of testing for HER2+ G&CRC and resulting targeting treatment in the wider oncology community. To better understand and address the root causes of this gap, a needs assessment deployed among 85 oncology care providers was conducted and informed the development of an accredited online educational program entitled "GetSMART." The program consisted of four modules developed and narrated by experts in gastrointestinal oncology. The educational content and assessment metrics were guided by a confidence-based assessment (CBA) model and the Moore, Green, and Gallis outcomes framework. Assessment methods consisted of quantitative pre- and post-activity tests, an evaluation embedded within the education (n = 163), and semi-structured interviews (n = 5) post-activity completion. Findings indicated that "GetSMART" enhanced participants' knowledge, confidence, and intent to change practice in relation to their (1) identification of HER2 aberrations, (2) selection of appropriate treatments for HER2+ G&CRC, and (3) ability to engage patients in shared decision-making and management of adverse events. "GetSMART" can therefore be a valuable educational resource for oncology HCPs caring for patients affected by HER2+ metastatic G&CRC, offering strategies to ensure an optimal team and patient-centered approach to the care being delivered.

Predictive value of CDC37 gene expression for targeted therapy in metastatic colorectal cancer

BACKGROUND

CDC37 is a key determinant of client kinase recruitment to the HSP90 chaperoning system. We hypothesized that kinase-specific dependency on CDC37 alters the efficacy of targeted therapies for metastatic colorectal cancer (mCRC).

MATERIAL AND METHODS

Two independent mCRC cohorts were analyzed to compare the survival outcomes between CDC37-high and CDC37-low patients (stratified by the median cutoff values): the CALGB/SWOG 80405 trial (226 and 207 patients receiving first-line bevacizumab- and cetuximab-containing chemotherapies, respectively) and Japanese retrospective (50 refractory patients receiving regorafenib) cohorts. A dataset of specimens submitted to a commercial CLIA-certified laboratory was utilized to characterize molecular profiles of CDC37-high (top quartile, N = 5055) and CDC37-low (bottom quartile, N = 5055) CRCs.

RESULTS

In the bevacizumab-treated group, CDC37-high patients showed significantly better progression-free survival (PFS) (median 13.3 vs 9.6 months, hazard ratio [HR] 0.59, 95% confidence interval [CI] 0.44-0.79, p < 0.01) than CDC37-low patients. In the cetuximab-treated group, CDC37-high and CDC37-low patients had similar outcomes. In the regorafenib-treated group, CDC37-high patients showed significantly better overall survival (median 11.3 vs 6.0 months, HR 0.24, 95% CI 0.11-0.54, p < 0.01) and PFS (median 3.5 vs 1.9 months, HR 0.51, 95% CI 0.28-0.94, p = 0.03). Comprehensive molecular profiling revealed that CDC37-high CRCs were associated with higher VEGFA, FLT1, and KDR expressions and activated hypoxia signature.

CONCLUSIONS

CDC37-high mCRC patients derived more benefit from anti-VEGF therapies, including bevacizumab and regorafenib, but not from cetuximab. Molecular profiles suggested that such tumors were dependent on angiogenesis-relating pathways.

Reframing sepsis immunobiology for translation: towards informative subtyping and targeted immunomodulatory therapies

Sepsis is a common and deadly condition. Within the current model of sepsis immunobiology, the framing of dysregulated host immune responses into proinflammatory and immunosuppressive responses for the testing of novel treatments has not resulted in successful immunomodulatory therapies. Thus, the recent focus has been to parse observable heterogeneity into subtypes of sepsis to enable personalised immunomodulation. In this Personal View, we highlight that many fundamental immunological concepts such as resistance, disease tolerance, resilience, resolution, and repair are not incorporated into the current sepsis immunobiology model. The focus for addressing heterogeneity in sepsis should be broadened beyond subtyping to encompass the identification of deterministic molecular networks or dominant mechanisms. We explicitly reframe the dysregulated host immune responses in sepsis as altered homoeostasis with pathological disruption of immune-driven resistance, disease tolerance, resilience, and resolution mechanisms. Our proposal highlights opportunities to identify novel treatment targets and could enable successful immunomodulation in the future.

Tissue-specific thresholds of mutation burden associated with anti-PD-1/L1 therapy benefit and prognosis in microsatellite-stable cancers

Immune checkpoint inhibitors (ICIs) targeting programmed cell death protein 1 or its ligand (PD-1/L1) have expanded the treatment landscape against cancers but are effective in only a subset of patients. Tumor mutation burden (TMB) is postulated to be a generic determinant of ICI-dependent tumor rejection. Here we describe the association between TMB and survival outcomes among microsatellite-stable cancers in a real-world clinicogenomic cohort consisting of 70,698 patients distributed across 27 histologies. TMB was associated with survival benefit or detriment depending on tissue and treatment context, with eight cancer types demonstrating a specific association between TMB and improved outcomes upon treatment with anti-PD-1/L1 therapies. Survival benefits were noted over a broad range of TMB cutoffs across cancer types, and a dose-dependent relationship between TMB and outcomes was observed in a subset of cancers. These results have implications for the use of cancer-agnostic and universal TMB cutoffs to guide the use of anti-PD-1/L1 therapies, and they underline the importance of tissue context in the development of ICI biomarkers.

Using a targeted metabolomics approach to explore differences in ARDS associated with COVID-19 compared to ARDS caused by H1N1 influenza and bacterial pneumonia

RATIONALE

Acute respiratory distress syndrome (ARDS) is a life-threatening critical care syndrome commonly associated with infections such as COVID-19, influenza, and bacterial pneumonia. Ongoing research aims to improve our understanding of ARDS, including its molecular mechanisms, individualized treatment options, and potential interventions to reduce inflammation and promote lung repair.

OBJECTIVE

To map and compare metabolic phenotypes of different infectious causes of ARDS to better understand the metabolic pathways involved in the underlying pathogenesis.

METHODS

We analyzed metabolic phenotypes of 3 ARDS cohorts caused by COVID-19, H1N1 influenza, and bacterial pneumonia compared to non-ARDS COVID-19-infected patients and ICU-ventilated controls. Targeted metabolomics was performed on plasma samples from a total of 150 patients using quantitative LC-MS/MS and DI-MS/MS analytical platforms.

RESULTS

Distinct metabolic phenotypes were detected between different infectious causes of ARDS. There were metabolomics differences between ARDSs associated with COVID-19 and H1N1, which include metabolic pathways involving taurine and hypotaurine, pyruvate, TCA cycle metabolites, lysine, and glycerophospholipids. ARDSs associated with bacterial pneumonia and COVID-19 differed in the metabolism of D-glutamine and D-glutamate, arginine, proline, histidine, and pyruvate. The metabolic profile of COVID-19 ARDS (C19/A) patients admitted to the ICU differed from COVID-19 pneumonia (C19/P) patients who were not admitted to the ICU in metabolisms of phenylalanine, tryptophan, lysine, and tyrosine. Metabolomics analysis revealed significant differences between C19/A, H1N1/A, and PNA/A vs ICU-ventilated controls, reflecting potentially different disease mechanisms.

CONCLUSION

Different metabolic phenotypes characterize ARDS associated with different viral and bacterial infections.

Differential responses to immune checkpoint inhibitors are governed by diverse mismatch repair gene alterations

PURPOSE

The response to immune checkpoint inhibitors (ICIs) in deficient mismatch repair (dMMR) colorectal cancer (CRC) and endometrial cancer (EC) is variable. Here, we explored the differential response to ICIs according to different MMR alterations.

EXPERIMENTAL DESIGN

CRC (N=13701) and EC (N=3315) specimens were tested at Caris Life Sciences. Median overall survival (mOS) was estimated using Kaplan-Meier. The prediction of high, intermediate and low affinity epitopes by tumor mutation burden (TMB) values was conducted using R-squared (R2) Results: Compared to mutL (MLH1 and PMS2) co-loss, the mOS was longer in mutS (MSH2 and MSH6) co-loss in all CRC (54.6m vs. 36m; p=0.0.025) and EC (81.5m vs. 48.2m; p<0.001) patients. In ICIs-treated patients, the mOS was longer in mutS co-loss in CRC (not reached (NR) vs. 36m; p=0.011). In EC, the mOS was NR vs. 42.2m; p=0.711). The neoantigen load (NAL) in mutS co-loss compared to mutL co-loss was higher in CRC (high-affinity epitopes: 25.5 vs 19; q=0.017, intermediate: 39 vs. 32; q=0.004, low: 87.5 vs. 73; q<0.001) and EC (high-affinity epitopes: 15 vs. 11; q=0.002, intermediate: 27.5 vs. 19; q<0.001, low: 59 vs. 41; q<0.001) respectively. R2 ranged from 0.25 in mutS co-loss CRC to 0.95 in mutL co-loss EC.

CONCLUSIONS

Patients with mutS co-loss experienced longer mOS in CRC and EC and better response to ICIs in CRC. Among all explored biomarkers, NAL was higher in mutS co-loss and may be a potential driving factor for the observed better outcomes. TMB did not reliably predict NAL.

Search for Heavy Neutral Leptons in Electron-Positron and Neutral-Pion Final States with the MicroBooNE Detector

We present the first search for heavy neutral leptons (HNLs) decaying into νe^{+}e^{-} or νπ^{0} final states in a liquid-argon time projection chamber using data collected with the MicroBooNE detector. The data were recorded synchronously with the NuMI neutrino beam from Fermilab's main injector corresponding to a total exposure of 7.01×10^{20} protons on target. We set upper limits at the 90% confidence level on the mixing parameter |U_{μ4}|^{2} in the mass ranges 10≤m_{HNL}≤150  MeV for the νe^{+}e^{-} channel and 150≤m_{HNL}≤245  MeV for the νπ^{0} channel, assuming |U_{e4}|^{2}=|U_{τ4}|^{2}=0. These limits represent the most stringent constraints in the mass range 35 Collapse

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Affiliation(s)

P Abratenko Tufts University, Medford, Massachusetts 02155, USA
O Alterkait Tufts University, Medford, Massachusetts 02155, USA
D Andrade Aldana Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
L Arellano The University of Manchester, Manchester M13 9PL, United Kingdom
J Asaadi University of Texas, Arlington, Texas 76019, USA
A Ashkenazi Tel Aviv University, Tel Aviv, Israel, 69978
S Balasubramanian Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
B Baller Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
G Barr University of Oxford, Oxford OX1 3RH, United Kingdom
D Barrow University of Oxford, Oxford OX1 3RH, United Kingdom
J Barrow Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA Tel Aviv University, Tel Aviv, Israel, 69978
V Basque Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
O Benevides Rodrigues Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
S Berkman Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA Michigan State University, East Lansing, Michigan 48824, USA
A Bhanderi The University of Manchester, Manchester M13 9PL, United Kingdom
A Bhat University of Chicago, Chicago, Illinois 60637, USA
M Bhattacharya Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
M Bishai Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
A Blake Lancaster University, Lancaster LA1 4YW, United Kingdom
B Bogart University of Michigan, Ann Arbor, Michigan 48109, USA
T Bolton Kansas State University (KSU), Manhattan, Kansas 66506, USA
J Y Book Harvard University, Cambridge, Massachusetts 02138, USA
M B Brunetti University of Warwick, Coventry CV4 7AL, United Kingdom
L Camilleri Columbia University, New York, New York 10027, USA
Y Cao The University of Manchester, Manchester M13 9PL, United Kingdom
D Caratelli University of California, Santa Barbara, California 93106, USA
F Cavanna Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
G Cerati Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
A Chappell University of Warwick, Coventry CV4 7AL, United Kingdom
Y Chen SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
J M Conrad Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
M Convery SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
L Cooper-Troendle University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
J I Crespo-Anadón Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (CIEMAT), Madrid E-28040, Spain
R Cross University of Warwick, Coventry CV4 7AL, United Kingdom
M Del Tutto Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
S R Dennis University of Cambridge, Cambridge CB3 0HE, United Kingdom
P Detje University of Cambridge, Cambridge CB3 0HE, United Kingdom
A Devitt Lancaster University, Lancaster LA1 4YW, United Kingdom
R Diurba Universität Bern, Bern CH-3012, Switzerland
Z Djurcic Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
R Dorrill Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
K Duffy University of Oxford, Oxford OX1 3RH, United Kingdom
S Dytman University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
B Eberly University of Southern Maine, Portland, Maine 04104, USA
P Englezos Rutgers University, Piscataway, New Jersey 08854, USA
A Ereditato University of Chicago, Chicago, Illinois 60637, USA Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
J J Evans The University of Manchester, Manchester M13 9PL, United Kingdom
R Fine Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
O G Finnerud The University of Manchester, Manchester M13 9PL, United Kingdom
W Foreman Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
B T Fleming University of Chicago, Chicago, Illinois 60637, USA
D Franco University of Chicago, Chicago, Illinois 60637, USA
A P Furmanski University of Minnesota, Minneapolis, Minnesota 55455, USA
F Gao University of California, Santa Barbara, California 93106, USA
D Garcia-Gamez Universidad de Granada, Granada E-18071, Spain
S Gardiner Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
G Ge Columbia University, New York, New York 10027, USA
S Gollapinni Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
E Gramellini The University of Manchester, Manchester M13 9PL, United Kingdom
P Green University of Oxford, Oxford OX1 3RH, United Kingdom
H Greenlee Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
L Gu Lancaster University, Lancaster LA1 4YW, United Kingdom
W Gu Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
R Guenette The University of Manchester, Manchester M13 9PL, United Kingdom
P Guzowski The University of Manchester, Manchester M13 9PL, United Kingdom
L Hagaman University of Chicago, Chicago, Illinois 60637, USA
O Hen Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
C Hilgenberg University of Minnesota, Minneapolis, Minnesota 55455, USA
G A Horton-Smith Kansas State University (KSU), Manhattan, Kansas 66506, USA
Z Imani Tufts University, Medford, Massachusetts 02155, USA
B Irwin University of Minnesota, Minneapolis, Minnesota 55455, USA
M Ismail University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
C James Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
X Ji Nankai University, Nankai District, Tianjin 300071, China
J H Jo Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
R A Johnson University of Cincinnati, Cincinnati, Ohio 45221, USA
Y-J Jwa Columbia University, New York, New York 10027, USA
D Kalra Columbia University, New York, New York 10027, USA
N Kamp Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA
G Karagiorgi Columbia University, New York, New York 10027, USA
W Ketchum Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
M Kirby Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
T Kobilarcik Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
I Kreslo Universität Bern, Bern CH-3012, Switzerland
M B Leibovitch University of California, Santa Barbara, California 93106, USA
I Lepetic Rutgers University, Piscataway, New Jersey 08854, USA
J-Y Li University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
K Li Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
Y Li Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
K Lin Rutgers University, Piscataway, New Jersey 08854, USA
B R Littlejohn Illinois Institute of Technology (IIT), Chicago, Illinois 60616, USA
H Liu Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
W C Louis Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
X Luo University of California, Santa Barbara, California 93106, USA
C Mariani Center for Neutrino Physics, Virginia Tech, Blacksburg, Viriginia 24061, USA
D Marsden The University of Manchester, Manchester M13 9PL, United Kingdom
J Marshall University of Warwick, Coventry CV4 7AL, United Kingdom
N Martinez Kansas State University (KSU), Manhattan, Kansas 66506, USA
D A Martinez Caicedo South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
S Martynenko Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
A Mastbaum Rutgers University, Piscataway, New Jersey 08854, USA
I Mawby University of Warwick, Coventry CV4 7AL, United Kingdom
N McConkey University College London, London WC1E 6BT, United Kingdom
V Meddage Kansas State University (KSU), Manhattan, Kansas 66506, USA
J Micallef Massachusetts Institute of Technology (MIT), Cambridge, Massachusetts 02139, USA Tufts University, Medford, Massachusetts 02155, USA
K Miller University of Chicago, Chicago, Illinois 60637, USA
A Mogan Colorado State University, Fort Collins, Colorado 80523, USA
T Mohayai Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA Indiana University, Bloomington, Indiana 47405, USA
M Mooney Colorado State University, Fort Collins, Colorado 80523, USA
A F Moor University of Cambridge, Cambridge CB3 0HE, United Kingdom
C D Moore Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
L Mora Lepin The University of Manchester, Manchester M13 9PL, United Kingdom
M M Moudgalya The University of Manchester, Manchester M13 9PL, United Kingdom
S Mulleriababu Universität Bern, Bern CH-3012, Switzerland
D Naples University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
A Navrer-Agasson The University of Manchester, Manchester M13 9PL, United Kingdom
N Nayak Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
M Nebot-Guinot University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
J Nowak Lancaster University, Lancaster LA1 4YW, United Kingdom
N Oza Columbia University, New York, New York 10027, USA
O Palamara Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
N Pallat University of Minnesota, Minneapolis, Minnesota 55455, USA
V Paolone University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
A Papadopoulou Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
V Papavassiliou New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
H B Parkinson University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
S F Pate New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
N Patel Lancaster University, Lancaster LA1 4YW, United Kingdom
Z Pavlovic Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
E Piasetzky Tel Aviv University, Tel Aviv, Israel, 69978
I Pophale Lancaster University, Lancaster LA1 4YW, United Kingdom
X Qian Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
J L Raaf Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
V Radeka Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
A Rafique Argonne National Laboratory (ANL), Lemont, Illinois 60439, USA
M Reggiani-Guzzo University of Edinburgh, Edinburgh EH9 3FD, United Kingdom The University of Manchester, Manchester M13 9PL, United Kingdom
L Ren New Mexico State University (NMSU), Las Cruces, New Mexico 88003, USA
L Rochester SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
J Rodriguez Rondon South Dakota School of Mines and Technology (SDSMT), Rapid City, South Dakota 57701, USA
M Rosenberg Tufts University, Medford, Massachusetts 02155, USA
M Ross-Lonergan Los Alamos National Laboratory (LANL), Los Alamos, New Mexico 87545, USA
C Rudolf von Rohr Universität Bern, Bern CH-3012, Switzerland
I Safa Columbia University, New York, New York 10027, USA
G Scanavini Wright Laboratory, Department of Physics, Yale University, New Haven, Connecticut 06520, USA
D W Schmitz University of Chicago, Chicago, Illinois 60637, USA
A Schukraft Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
W Seligman Columbia University, New York, New York 10027, USA
M H Shaevitz Columbia University, New York, New York 10027, USA
R Sharankova Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
J Shi University of Cambridge, Cambridge CB3 0HE, United Kingdom
E L Snider Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
M Soderberg Syracuse University, Syracuse, New York 13244, USA
S Söldner-Rembold The University of Manchester, Manchester M13 9PL, United Kingdom
J Spitz University of Michigan, Ann Arbor, Michigan 48109, USA
M Stancari Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
J St John Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
T Strauss Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
A M Szelc University of Edinburgh, Edinburgh EH9 3FD, United Kingdom
W Tang University of Tennessee, Knoxville, Tennessee 37996, USA
N Taniuchi University of Cambridge, Cambridge CB3 0HE, United Kingdom
K Terao SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
C Thorpe Lancaster University, Lancaster LA1 4YW, United Kingdom The University of Manchester, Manchester M13 9PL, United Kingdom
D Torbunov Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
D Totani University of California, Santa Barbara, California 93106, USA
M Toups Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
Y-T Tsai SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
J Tyler Kansas State University (KSU), Manhattan, Kansas 66506, USA
M A Uchida University of Cambridge, Cambridge CB3 0HE, United Kingdom
T Usher SLAC National Accelerator Laboratory, Menlo Park, California 94025, USA
B Viren Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
M Weber Universität Bern, Bern CH-3012, Switzerland
H Wei Louisiana State University, Baton Rouge, Louisiana 70803, USA
A J White University of Chicago, Chicago, Illinois 60637, USA
S Wolbers Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
T Wongjirad Tufts University, Medford, Massachusetts 02155, USA
M Wospakrik Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
K Wresilo University of Cambridge, Cambridge CB3 0HE, United Kingdom
W Wu University of Pittsburgh, Pittsburgh, Pennsylvania 15260, USA
E Yandel University of California, Santa Barbara, California 93106, USA
T Yang Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
L E Yates Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
H W Yu Brookhaven National Laboratory (BNL), Upton, New York 11973, USA
G P Zeller Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
J Zennamo Fermi National Accelerator Laboratory (FNAL), Batavia, Illinois 60510, USA
C Zhang Brookhaven National Laboratory (BNL), Upton, New York 11973, USA

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A Repurposing Programme Evaluating Transdermal Oestradiol Patches for the Treatment of Prostate Cancer Within the PATCH and STAMPEDE Trials: Current Results and Adapting Trial Design

AIMS

Androgen deprivation therapy (ADT), usually achieved with luteinising hormone releasing hormone analogues (LHRHa), is central to prostate cancer management. LHRHa reduce both testosterone and oestrogen and are associated with significant long-term toxicity. Previous use of oral oestrogens as ADT was curtailed because of cardiovascular toxicity. Transdermal oestrogen (tE2) patches are a potential alternative ADT, supressing testosterone without the associated oestrogen-depletion toxicities (osteoporosis, hot flushes, metabolic abnormalities) and avoiding cardiovascular toxicity, and we here describe their evaluation in men with prostate cancer.

MATERIALS AND METHODS

The PATCH (NCT00303784) adaptive trials programme (incorporating recruitment through the STAMPEDE [NCT00268476] platform) is evaluating the safety and efficacy of tE2 patches as ADT for men with prostate cancer. An initial randomised (LHRHa versus tE2) phase II study (n = 251) with cardiovascular toxicity as the primary outcome measure has expanded into a phase III evaluation. Those with locally advanced (M0) or metastatic (M1) prostate cancer are eligible. To reflect changes in both management and prognosis, the PATCH programme is now evaluating these cohorts separately.

RESULTS

Recruitment is complete, with 1362 and 1128 in the M0 and M1 cohorts, respectively. Rates of androgen suppression with tE2 were equivalent to LHRHa, with improved metabolic parameters, quality of life and bone health indices (mean absolute change in lumbar spine bone mineral density of -3.0% for LHRHa and +7.9% for tE2 with an estimated difference between arms of 9.3% (95% confidence interval 5.3-13.4). Importantly, rates of cardiovascular events were not significantly different between the two arms and the time to first cardiovascular event did not differ between treatment groups (hazard ratio 1.11, 95% confidence interval 0.80-1.53; P = 0.54). Oncological outcomes are awaited.

FUTURE

Efficacy results for the M0 cohort (primary outcome measure metastases-free survival) are expected in the final quarter of 2023. For M1 patients (primary outcome measure - overall survival), analysis using restricted mean survival time is being explored. Allied translational work on longitudinal samples is underway.

Structure-based design of peptidomimetic inhibitors of PSD-95 with improved affinity for the PDZ3 domain

Aberrant brain-derived neurotrophic factor (BDNF) signaling has been proposed to contribute to the pathophysiology of depression and other neurological disorders such as Angelman syndrome. We have previously shown that targeting the tropomyosin receptor kinase B/postsynaptic density protein-95 (PSD-95) nexus in the BDNF signaling pathway by peptidomimetic inhibitors is a promising approach for therapeutic intervention. Here, we used structure-based knowledge to develop a new Syn3 peptidomimetic compound series that fuses peptides derived from the PSD-95-binding protein SynGAP to our prototype compound CN2097. The new compounds target the PSD-95 PDZ3 domain and adjoining αC helix to achieve bivalent binding that results in up to 7-fold stronger affinity compared to CN2097. These compounds were designed to improve CN2097 specificity for the PSD-95 PDZ3 domain, and structure-activity relationship studies were performed to improve their resistance to proteolysis.

REVISE: re-evaluating the inhibition of stress erosions in the ICU-statistical analysis plan for a randomized trial

BACKGROUND

The REVISE (Re-Evaluating the Inhibition of Stress Erosions in the ICU) trial will evaluate the impact of the proton pump inhibitor pantoprazole compared to placebo in invasively ventilated critically ill patients.

OBJECTIVE

To outline the statistical analysis plan for the REVISE trial.

METHODS

REVISE is a randomized clinical trial ongoing in intensive care units (ICUs) internationally. Patients ≥ 18 years old, receiving invasive mechanical ventilation, and expected to remain ventilated beyond the calendar day after randomization are allocated to either 40 mg pantoprazole intravenously or placebo while mechanically ventilated.

RESULTS

The primary efficacy outcome is clinically important upper GI bleeding; the primary safety outcome is 90-day mortality. Secondary outcomes are ventilator-associated pneumonia, Clostridioides difficile infection, new renal replacement therapy, ICU and hospital mortality, and patient-important GI bleeding. Tertiary outcomes are total red blood cells transfused, peak serum creatinine concentration, and duration of mechanical ventilation, ICU, and hospital length of stay. Following an interim analysis of results from 2400 patients (50% of 4800 target sample size), the data monitoring committee recommended continuing enrolment.

CONCLUSIONS

This statistical analysis plan outlines the statistical analyses of all outcomes, sensitivity analyses, and subgroup analyses. REVISE will inform clinical practice and guidelines worldwide.

TRIAL REGISTRATION

www.

CLINICALTRIALS

gov NCT03374800. November 21, 2017.

Metabolomics Analysis of Mesenchymal Stem Cell (MSC) Therapy in a Phase I Clinical Trial of Septic Shock: An Exploratory Study

Sepsis is the result of an uncontrolled host inflammatory response to infection that may lead to septic shock with multiorgan failure and a high mortality rate. There is an urgent need to improve early diagnosis and to find markers identifying those who will develop septic shock and certainly a need to develop targeted treatments to prevent septic shock and its high mortality. Herein, we explore metabolic alterations due to mesenchymal stromal cell (MSC) treatment of septic shock. The clinical findings for this study were already reported; MSC therapy was well-tolerated and safe in patients in this phase I clinical trial. In this exploratory metabolomics study, 9 out of 30 patients received an escalating dose of MSC treatment, while 21 patients were without MSC treatment. Serum metabolomics profiling was performed to detect and characterize metabolite changes due to MSC treatment and to help determine the sample size needed for a phase II clinical trial and to define a metabolomic response to MSC treatment. Serum metabolites were measured using 1H-NMR and HILIC-MS at times 0, 24 and 72 h after MSC infusion. The results demonstrated the significant impact of MSC treatment on serum metabolic changes in a dose- and time-dependent manner compared to non-MSC-treated septic shock patients. This study suggests that plasma metabolomics can be used to assess the response to MSC therapy and that treatment-related metabolomics effects can be used to help determine the sample size needed in a phase II trial. As this study was not powered to detect outcome, how the treatment-induced metabolomic changes described in this study of MSC-treated septic shock patients are related to outcomes of septic shock in the short and long term will need to be explored in a larger adequately powered phase II clinical trial.

Assessing the safety of new germicidal far-UVC technologies

The COVID-19 pandemic underscored the crucial importance of enhanced indoor air quality control measures to mitigate the spread of respiratory pathogens. Far-UVC is a type of germicidal ultraviolet technology, with wavelengths between 200 and 235 nm, that has emerged as a highly promising approach for indoor air disinfection. Due to its enhanced safety compared to conventional 254 nm upper-room germicidal systems, far-UVC allows for whole-room direct exposure of occupied spaces, potentially offering greater efficacy, since the total room air is constantly treated. While current evidence supports using far-UVC systems within existing guidelines, understanding the upper safety limit is critical to maximizing its effectiveness, particularly for the acute phase of a pandemic or epidemic when greater protection may be needed. This review article summarizes the substantial present knowledge on far-UVC safety regarding skin and eye exposure and highlights research priorities to discern the maximum exposure levels that avoid adverse effects. We advocate for comprehensive safety studies that explore potential mechanisms of harm, generate action spectra for crucial biological effects and conduct high-dose, long-term exposure trials. Such rigorous scientific investigation will be key to determining safe and effective levels for far-UVC deployment in indoor environments, contributing significantly to future pandemic preparedness and response.

A PSD-95 peptidomimetic mitigates neurological deficits in a mouse model of Angelman syndrome

Angelman Syndrome (AS) is a severe cognitive disorder caused by loss of neuronal expression of the E3 ubiquitin ligase UBE3A. In an AS mouse model, we previously reported a deficit in brain-derived neurotrophic factor (BDNF) signaling, and set out to develop a therapeutic that would restore normal signaling. We demonstrate that CN2097, a peptidomimetic compound that binds postsynaptic density protein-95 (PSD-95), a TrkB associated scaffolding protein, mitigates deficits in PLC-CaMKII and PI3K/mTOR pathways to restore synaptic plasticity and learning. Administration of CN2097 facilitated long-term potentiation (LTP) and corrected paired-pulse ratio. As the BDNF-mTORC1 pathway is critical for inhibition of autophagy, we investigated whether autophagy was disrupted in AS mice. We found aberrantly high autophagic activity attributable to a concomitant decrease in mTORC1 signaling, resulting in decreased levels of synaptic proteins, including Synapsin-1 and Shank3. CN2097 increased mTORC1 activity to normalize autophagy and restore hippocampal synaptic protein levels. Importantly, treatment mitigated cognitive and motor dysfunction. These findings support the use of neurotrophic therapeutics as a valuable approach for treating AS pathology.

A Hospital-Wide Open-Label Cluster Crossover Pragmatic Comparative Effectiveness Randomized Trial Comparing Normal Saline to Ringer's Lactate: Protocol and Statistical Analysis Plan of The FLUID Trial

BACKGROUND

Normal saline (NS) and Ringer's lactate (RL) are the most common crystalloids given to hospitalized patients. Despite concern about possible harm associated with NS (eg, hyperchloremic metabolic acidosis, impaired kidney function, and death), few large multicenter randomized trials focused on critically ill patients have compared these fluids. Uncertainty exists about the effects of these fluids on clinically important outcomes across all hospitalized patients.

OBJECTIVE

The FLUID trial is a pragmatic, multicenter, 2×2 cluster crossover comparative effectiveness randomized trial that aims to evaluate the effectiveness of a hospital-wide policy that stocks either NS or RL as the main crystalloid fluid in 16 hospitals across Ontario, Canada.

METHODS

All hospitalized adult and pediatric patients (anticipated sample size 144,000 patients) with an incident admission to the hospital over the course of each study period will be included. Either NS or RL will be preferentially stocked throughout the hospital for 12 weeks before crossing to the alternate fluid for the subsequent 12 weeks. The primary outcome is a composite of death and hospital readmission within 90 days of hospitalization. Secondary outcomes include death, hospital readmission, dialysis, reoperation, postoperative reintubation, length of hospital stay, emergency department visits, and discharge to a facility other than home. All outcomes will be obtained from health administrative data, eliminating the need for individual case reports. The primary analysis will use cluster-level summaries to estimate cluster-average treatment effects.

RESULTS

The statistical analysis plan has been prepared "a priori" in advance of receipt of the trial data set from ICES and any analyses.

CONCLUSIONS

We describe the protocol and statistical analysis plan for the evaluation of primary and secondary outcomes for the FLUID trial.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04512950; https://classic.clinicaltrials.gov/ct2/show/NCT04512950.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/51783.

Policy-making and implementation for newborn bloodspot screening in Europe: a comparison between EURORDIS principles and UK practice

Newborn bloodspot screening (NBS) policy is a contentious area in Europe. Variation in the screening panels on offer, in the approach to evidence assessment and in the use of health economic modelling are some of the issues which are debated on the topic. In this paper we focus on a set of patient-driven principles for newborn screening published by EURORDIS and use these as a reference point for exploration and comparison with NBS policy development and screening practice in the UK. In doing so, we share UK practice; we note the UK is generally well aligned with many of the recommended principles, but we also discuss areas of controversy and challenges. Some of these, like 'actionability', will undoubtedly continue to be debated and may never reach consensus. For others, such as patient and public voice participation in newborn screening systems, there are opportunities to continue improving existing processes and developing new mechanisms for stakeholder participation. Screening bodies in other European countries should also compare their policy-making and implementation practices with the EURORDIS principles to stimulate further discussion on the challenges and opportunities of newborn screening and provide a cross-European baseline.

First Double-Differential Measurement of Kinematic Imbalance in Neutrino Interactions with the MicroBooNE Detector

We report the first measurement of flux-integrated double-differential quasielasticlike neutrino-argon cross sections, which have been made using the Booster Neutrino Beam and the MicroBooNE detector at Fermi National Accelerator Laboratory. The data are presented as a function of kinematic imbalance variables which are sensitive to nuclear ground-state distributions and hadronic reinteraction processes. We find that the measured cross sections in different phase-space regions are sensitive to different nuclear effects. Therefore, they enable the impact of specific nuclear effects on the neutrino-nucleus interaction to be isolated more completely than was possible using previous single-differential cross section measurements. Our results provide precision data to help test and improve neutrino-nucleus interaction models. They further support ongoing neutrino-oscillation studies by establishing phase-space regions where precise reaction modeling has already been achieved.

Proton pump inhibitors in critically ill mechanically ventilated patients with COVID-19: protocol for a substudy of the Re-EValuating the Inhibition of Stress Erosions (REVISE) Trial

BACKGROUND

Critically ill patients commonly receive proton pump inhibitors (PPIs) to prevent gastrointestinal (GI) bleeding from stress-induced ulceration. Despite widespread use in the intensive care unit (ICU), observational data suggest that PPIs may be associated with adverse outcomes in patients with COVID-19 infection. This preplanned study is nested within a large randomized trial evaluating pantoprazole versus placebo in invasively ventilated patients. The 3 objectives are as follows: (1) to describe the characteristics of patients with COVID-19 in terms of demographics, biomarkers, venous thromboembolism, tracheostomy incidence and timing, and other clinical outcomes; (2) to evaluate the impact of COVID-19 infection on clinically important GI bleeding, 90-day mortality, and other outcomes compared to a propensity-matched non-infected cohort; and (3) to explore whether pantoprazole has a differential treatment effect on clinically important GI bleeding, 90-day mortality, and other outcomes in patients with and without COVID-19 infection.

METHODS

The ongoing trial Re-EValuating the Inhibition of Stress Erosions (REVISE) compares pantoprazole 40 mg IV to placebo on the primary efficacy outcome of clinically important GI bleeding and the primary safety outcome of 90-day mortality. The protocol described in this report is for a substudy focused on patients with COVID-19 infection that was not in the original pre-pandemic trial protocol. We developed a one-page case report form to characterize these patients including data related to biomarkers, venous thromboembolism, COVID-19 therapies, tracheostomy incidence and timing, duration of mechanical ventilation, and ICU and hospital stay. Our analysis will describe the trajectory of patients with COVID-19 infection, a propensity-matched analysis of infected and non-infected patients, and an extended subgroup analysis comparing the effect of PPI among patients with and without COVID-19 infection.

DISCUSSION

Prophylactic acid suppression in invasively ventilated critically ill patients with COVID-19 infection has unknown consequences. The results of these investigations will inform practice, guidelines, and future research.

TRIAL REGISTRATION

REVISE Trial [NCT03374800 December 15, 2017], COVID-19 Cohort Study [NCT05715567 February 8, 2023].

Structure-based development of new cyclic compounds targeting PSD-95 PDZ3 domain

Aberrant BDNF signaling has been proposed to contribute to the pathophysiology of depression and other neurological disorders such as Angelman syndrome. We have previously shown that targeting the TrkB / PSD-95 nexus by peptidomimetic inhibitors is a promising approach for therapeutic intervention. Here we used structure-based knowledge to develop a new peptidomimetic compound series that fuses SynGAP-derived peptides to our prototype compound CN2097. These compounds target the PSD-95 PDZ3 domain and adjoining αC helix to achieve bivalent binding that results in up to 7-fold stronger affinity compared to CN2097. These compounds were designed to improve CN2097 specificity for the PDZ3 domain and limited SAR studies have been performed to improve their resistance to proteolysis.

First Measurement of Quasielastic Λ Baryon Production in Muon Antineutrino Interactions in the MicroBooNE Detector

We present the first measurement of the cross section of Cabibbo-suppressed Λ baryon production, using data collected with the MicroBooNE detector when exposed to the neutrinos from the main injector beam at the Fermi National Accelerator Laboratory. The data analyzed correspond to 2.2×10^{20} protons on target running in neutrino mode, and 4.9×10^{20} protons on target running in anti-neutrino mode. An automated selection is combined with hand scanning, with the former identifying five candidate Λ production events when the signal was unblinded, consistent with the GENIE prediction of 5.3±1.1 events. Several scanners were employed, selecting between three and five events, compared with a prediction from a blinded Monte Carlo simulation study of 3.7±1.0 events. Restricting the phase space to only include Λ baryons that decay above MicroBooNE's detection thresholds, we obtain a flux averaged cross section of 2.0_{-1.7}^{+2.2}×10^{-40}  cm^{2}/Ar, where statistical and systematic uncertainties are combined.

A multi-centre prospective evaluation of THEIA™ to detect diabetic retinopathy (DR) and diabetic macular oedema (DMO) in the New Zealand screening program

PURPOSE

To validate the potential application of THEIA™ as clinical decision making assistant in a national screening program.

METHODS

A total of 900 patients were recruited from either an urban large eye hospital, or a semi-rural optometrist led screening provider, as they were attending their appointment as part of New Zealand Diabetic Eye Screening Programme. The de-identified images were independently graded by three senior specialists, and final results were aggregated using New Zealand grading scheme, which was then converted to referable/non-referable and Healthy/mild/more than mild/sight threatening categories.

RESULTS

THEIA™ managed to grade all images obtained during the study. Comparing the adjudicated images from the specialist grading team, "ground truth", with the grading by the AI platform in detecting "sight threatening" disease, at the patient level THEIA™ achieved 100% imageability, 100% [98.49-100.00%] sensitivity and [97.02-99.16%] specificity, and negative predictive value of 100%. In other words, THEIA™ did not miss any patients with "more than mild" or "sight threatening" disease. The level of agreement between the clinicians and the aggregated results was (k value: 0.9881, 0.9557, and 0.9175), and the level of agreement between THEIA™ and the aggregated labels was (k value: 0.9515).

CONCLUSION

This multi-centre prospective trial showed that THEIA™ did not miss referable disease when screening for diabetic retinopathy and maculopathy. It also had a very high level of granularity in reporting the disease level. As THEIA™ has been tested on a variety of cameras, operating in a range of clinics (rural/urban, ophthalmologist-led\optometrist-led), we believe that it will be a suitable addition to a public diabetic screening program.

A Novel Role for Corneal Pachymetry in Planning Cataract Surgery by Determining Changes in Spherical Equivalent Resulting from a Previous LASIK Treatment

Objectives

To provide a metric to differentiate between hyperopic and myopic ablation of a prior LASIK treatment based on the corneal pachymetry profile after laser vision correction (LVC).

Methods

Pachymetry data were retrospectively recovered from patients who had previous LASIK for refractive purposes between 2019 and 2020. Patients with any corneal disorder were excluded. Ablation spherical equivalent was predicted from the central to semiperipheral corneal thickness (CPT) ratio, both values were provided by using the Pentacam user interface software (UI), and values were computed from extracted raw pachymetry data.

Results

Data of 157 eyes of 81 patients were collected, of which data were analysed for 73 eyes of 73 patients to avoid concurrence of measurements in both eyes per subject (42% female; mean age 40.9; SD 12.8). The CPT ratio cutoff for distinction between myopic and hyperopic LASIK was 0.86 for Pentacam UI data. Sensitivity and specificity were 0.7 and 0.95, respectively. Accuracy increased with computation of the CPT ratio based on extracted raw data with sensitivity and specificity of 0.87 and 0.99, respectively. There was a marked linear correlation between the CPT ratio and the ablation spherical equivalent (R² = 0.93).

Conclusions

CPT ratio cutoffs can correctly classify if a cornea previously had a hyperopic versus myopic LASIK surgery and estimate the ablation spherical equivalent of such treatment. This could prove useful for increased accuracy of intraocular lens (IOL) calculations for patients with no historical data of their prior LVC surgery at the time of cataract surgery planning.

Re-examining the evidence for the mother tree hypothesis - resource sharing among trees via ectomycorrhizal networks

Seminal scientific papers positing that mycorrhizal fungal networks can distribute carbon (C) among plants have stimulated a popular narrative that overstory trees, or 'mother trees', support the growth of seedlings in this way. This narrative has far-reaching implications for our understanding of forest ecology and has been controversial in the scientific community. We review the current understanding of ectomycorrhizal C metabolism and observations on forest regeneration that make the mother tree narrative debatable. We then re-examine data and conclusions from publications that underlie the mother tree hypothesis. Isotopic labeling methods are uniquely suited for studying element fluxes through ecosystems, but the complexity of mycorrhizal symbiosis, low detection limits, and small carbon discrimination in biological processes can cause researchers to make important inferences based on miniscule shifts in isotopic abundance, which can be misleading. We conclude that evidence of a significant net C transfer via common mycorrhizal networks that benefits the recipients is still lacking. Furthermore, a role for fungi as a C pipeline between trees is difficult to reconcile with any adaptive advantages for the fungi. Finally, the hypothesis is neither supported by boreal forest regeneration patterns nor consistent with the understanding of physiological mechanisms controlling mycorrhizal symbiosis.

New Terminology and Methodology for the Assessment of the Vitreous, Its Floaters and Opacities, and Their Effect on Vision: Standardized and Kinetic Anatomical and Functional Testing of Vitreous Floaters and Opacities (SK VFO Test)

OBJECTIVE

To introduce VFO and SK VFO Test: new, more representative terminology for symptoms of vitreous floaters/opacities (VFO) and new standardized kinetic (SK) anatomical-functional assessment.

MATERIALS AND METHODS

Eight eyes underwent before-after limited vitrectomy (LV): best-corrected visual acuity, low-luminance visual acuity, Minnesota Low Vision Reading Chart near visual acuity in logMAR, contrast sensitivity function (CV1000E), and straylight measurements (SM) (HDA/LDA/C-Quant). SK infrared confocal scanning laser ophthalmoscopy (SK IRcSLO) and swept-source widefield optical coherence tomography (SS-WF-OCT) identified VFO and posterior vitreous detachment (PVD). SK IRcSLO was performed with gaze directed towards the extreme superior, inferior, and lateral directions.

RESULTS

Anatomical-functional results after LV improved in 7 eyes (87.5%): objective scatter index (27.34%), disturbance index (47.97%) and C-Quant Log units (2.26%). Pre-LV SK IRcSLO and SS-WFOCT imaging identified dynamic well-defined VFO and PVD status (100%). A residual asymptomatic anterior cortical vitreous-induced shadowing ripple effect was detected post-LV.

CONCLUSIONS

This is the first objective-standardized test accounting for VFO kinesis and intermittent effect. There is potential for personalizing treatment and establishing best candidates for laser or surgery. [Ophthalmic Surg Lasers Imaging Retina 2023;54:306-315.].

Targeting Sex Determination to Suppress Mosquito Populations

Each year, hundreds of millions of people are infected with arboviruses such as dengue, yellow fever, chikungunya, and Zika, which are all primarily spread by the notorious mosquito Aedes aegypti. Traditional control measures have proven insuficient, necessitating innovations. In response, here we generate a next generation CRISPR-based precision-guided sterile insect technique (pgSIT) for Aedes aegypti that disrupts genes essential for sex determination and fertility, producing predominantly sterile males that can be deployed at any life stage. Using mathematical models and empirical testing, we demonstrate that released pgSIT males can effectively compete with, suppress, and eliminate caged mosquito populations. This versatile species-specific platform has the potential for field deployment to control wild populations, safely curtailing disease transmission.

Healthcare systems data in the context of clinical trials - A comparison of cardiovascular data from a clinical trial dataset with routinely collected data

BACKGROUND

Routinely-collected healthcare systems data (HSD) are proposed to improve the efficiency of clinical trials. A comparison was undertaken between cardiovascular (CVS) data from a clinical trial database with two HSD resources.

METHODS

Protocol-defined and clinically reviewed CVS events (heart failure (HF), acute coronary syndrome (ACS), thromboembolic stroke, venous and arterial thromboembolism) were identified within the trial data. Data (using pre-specified codes) was obtained from NHS Hospital Episode Statistics (HES) and National Institute for Cardiovascular Outcomes Research (NICOR) HF and myocardial ischaemia audits for trial participants recruited in England between 2010 and 2018 who had provided consent. The primary comparison was trial data versus HES inpatient (APC) main diagnosis (Box-1). Correlations are presented with descriptive statistics and Venn diagrams. Reasons for non-correlation were explored.

RESULTS

From 1200 eligible participants, 71 protocol-defined clinically reviewed CVS events were recorded in the trial database. 45 resulted in a hospital admission and therefore could have been recorded by either HES APC/ NICOR. Of these, 27/45 (60%) were recorded by HES inpatient (Box-1) with an additional 30 potential events also identified. HF and ACS were potentially recorded in all 3 datasets; trial data recorded 18, HES APC 29 and NICOR 24 events respectively. 12/18 (67%) of the HF/ACS events in the trial dataset were recorded by NICOR.

CONCLUSION

Concordance between datasets was lower than anticipated and the HSD used could not straightforwardly replace current trial practices, nor directly identify protocol-defined CVS events. Further work is required to improve the quality of HSD and consider event definitions when designing clinical trials incorporating HSD.

A39 HEALTHY FIRST-DEGREE RELATIVES FROM MULTIPLEX FAMILIES VERSUS SIMPLEX HARBOR A HIGHER RISK OF DEVELOPING CROHN'S DISEASE AND ARE ASSOCIATED WITH SUBCLINICAL INFLAMMATION AND ALTERED MICROBIOME COMPOSITION

Background

Healthy individuals within families with multiple affected members (multiplex families) with Crohn’s disease (CD) have a notably high risk of developing CD. No large prospective pre-disease cohort has assessed differences in preclinical intestinal inflammation, permeability, fecal microbiome, and genetics in healthy at-risk subjects from multiplex families.

Purpose

We aimed to assess differences in subclinical gut inflammation, genetic risk, gut barrier function, and fecal microbiota composition between first-degree relatives (FDRs) from families with 2 or more affected members (multiplex) and families with only one affected member (simplex). Also, we aimed to assess the risk of future CD onset in subjects from multiplex versus simplex families.

Method

We utilized the GEM Project cohort of healthy FDRs of CD patients. Subclinical gut inflammation was assessed using fecal calprotectin (FCP) at recruitment. Gut barrier function was assessed using the lactulose-to-mannitol ratio (LMR). For assessment of the CD-related genetic risk, CD-polygenic risk scores (CD-PRS) were calculated. Microbiome composition was assessed by sequencing fecal 16S ribosomal RNA. Generalized estimating equations logistic regression and LEfSe (PMID: 21702898) were used to assess the associations between multiplex status and different outcomes. A Cox proportional hazards model was used to assess time-related risk of future onset of CD.

Result(s)

4385 subjects were included. Median age was 17 [IQR 12-24] years, 52.9% were female, 69.4% were siblings and 30.6% were offspring. 4052 (92.4%) and 333 (7.6 %) were simplex and multiplex subjects, respectively. After adjusting for age, sex, family size, and relation to proband, multiplex status was significantly associated with higher baseline FCP (p=0.038), but was not associated with either baseline LMR or CD-PRS (p=0.19 and p=0.33, respectively).

We found no significant differences in alpha diversity (Shannon index) (p=0.57) between simplex and multiplex subjects. Beta diversity analysis assessed by the Bray-Curtis dissimilarity index did not reveal significant differences (R2=3e-04, p=0.607). The genera Eisenbergiella, Eggerthellaceae uncultured, and Morganella, were significantly more abundant in multiplex subjects, whereas Lachnospira, Sutterella, Lachnospiraceae_NK4A136_group, and Lachnospiraceae_UCG_004 less abundant.

The risk of CD onset was significantly higher in multiplex subjects. In multivariable analysis, multiplex status at recruitment was associated with increased risk of CD onset (adjusted HR 3.41, 95% CI 1.70-6.87, p=0.00055), after adjusting for demographics, FCP, LMR, and CD-PRS.

Conclusion(s)

Multiplex status compared to simplex is associated with a 3.4-fold increased risk of CD onset, a higher FCP, and fecal bacterial composition. A comprehensive assessment of environmental factors that increase CD risk in multiplex families remains to be elucidated in future studies.

Disclosure of Interest

None Declared

FLUID trial: a hospital-wide open-label cluster cross-over pragmatic comparative effectiveness randomised pilot trial comparing normal saline to Ringer's lactate

OBJECTIVES

Normal saline (NS) and Ringer's lactate (RL) are the most common crystalloids used for fluid therapy. Despite evidence of possible harm associated with NS (eg, hyperchloremic metabolic acidosis, impaired kidney function and death), few large multi-centre randomised trials have evaluated the effect of these fluids on clinically important outcomes. We conducted a pilot trial to explore the feasibility of a large trial powered for clinically important outcomes.

DESIGN

FLUID was a pragmatic pilot cluster randomised cross-over trial.

SETTING

Four hospitals in the province of Ontario, Canada PARTICIPANTS: All hospitalised adult and paediatric patients with an incident admission to the hospital over the course of each study period.

INTERVENTIONS

A hospital wide policy/strategy which stocked either NS or RL throughout the hospital for 12 weeks before crossing over to the alternate fluid for the subsequent 12 weeks.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary feasibility outcome was study fluid protocol adherence. Secondary feasibility outcomes included time to Research Ethics Board (REB) approval and trial initiation. Primary (composite of death or re-admission to hospital in first 90 days of index hospitalisation) and secondary clinical outcomes were analysed descriptively.

RESULTS

Among 24 905 included patients, mean age 59.1 (SD 20.5); 13 977 (56.1%) were female and 21 150 (85.0%) had medical or surgical admitting diagnoses. Overall, 96 821 L were administered in the NS arm, and 78 348 L in the RL arm. Study fluid adherence to NS and RL was 93.7% (site range: 91.6%-98.0%) and 79.8% (site range: 72.5%-83.9%), respectively. Time to REB approval ranged from 2 to 48 days and readiness for trial initiation from 51 to 331 days. 5544 (22.3%) patients died or required hospital re-admission in the first 90 days.

CONCLUSIONS

The future large trial is feasible. Anticipating and addressing logistical challenges during the planning stages will be imperative.

TRIAL REGISTRATION NUMBER

NCT02721485.

Automation of Macular Degeneration Classification in the AREDS Dataset, Using a Novel Neural Network Design

Purpose

To create an ensemble of Convolutional Neural Networks (CNNs), capable of detecting and stratifying the risk of progressive age-related macular degeneration (AMD) from retinal photographs.

Design

Retrospective cohort study.

Methods

Three individual CNNs are trained to accurately detect 1) advanced AMD, 2) drusen size and 3) the presence or otherwise of pigmentary abnormalities, from macular centered retinal images were developed. The CNNs were then arranged in a "cascading" architecture to calculate the Age-related Eye Disease Study (AREDS) Simplified 5-level risk Severity score (Risk Score 0 - Risk Score 4), for test images. The process was repeated creating a simplified binary "low risk" (Scores 0-2) and "high risk" (Risk Score 3-4) classification.

Participants

There were a total of 188,006 images, of which 118,254 images were deemed gradable, representing 4591 patients, from the AREDS1 dataset. The gradable images were split into 50%/25%/25% ratios for training, validation and test purposes.

Main Outcome Measures

The ability of the ensemble of CNNs using retinal images to predict an individual's risk of experiencing progression of their AMD based on the AREDS 5-step Simplified Severity Scale.

Results

When assessed against the 5-step Simplified Severity Scale, the results generated by the ensemble of CNN's achieved an accuracy of 80.43% (quadratic kappa 0.870). When assessed against a simplified binary (Low Risk/High Risk) classification, an accuracy of 98.08%, sensitivity of ≥85% and specificity of ≥99% was achieved.

Conclusion

We have created an ensemble of neural networks, trained on the AREDS 1 dataset, that is able to accurately calculate an individual's score on the AREDS 5-step Simplified Severity Scale for AMD. If the results presented were replicated, then this ensemble of CNNs could be used as a screening tool that has the potential to significantly improve health outcomes by identifying asymptomatic individuals who would benefit from AREDS2 macular supplements.

Characterizing mobility patterns of forest goers in southern Lao PDR using GPS loggers

BACKGROUND

In the Greater Mekong Subregion (GMS), forest-going populations are considered high-risk populations for malaria and are increasingly targeted by national control programmes' elimination efforts. A better understanding of forest-going populations' mobility patterns and risk associated with specific types of forest-going trips is necessary for countries in the GMS to achieve their objective of eliminating malaria by 2030.

METHODS

Between March and November 2018, as part of a focal test and treat intervention (FTAT), 2,904 forest-goers were recruited in southern Lao PDR. A subset of forest-goers carried an "i-Got-U" GPS logger for roughly 2 months, configured to collect GPS coordinates every 15 to 30 min. The utilization distribution (UD) surface around each GPS trajectory was used to extract trips to the forest and forest-fringes. Trips with shared mobility characteristics in terms of duration, timing and forest penetration were identified by a hierarchical clustering algorithm. Then, clusters of trips with increased exposure to dominant malaria vectors in the region were further classified as high-risk. Finally, gradient boosting trees were used to assess which of the forest-goers' socio-demographic and behavioural characteristics best predicted their likelihood to engage in such high-risk trips.

RESULTS

A total of 122 forest-goers accepted carrying a GPS logger resulting in the collection of 803 trips to the forest or forest-fringes. Six clusters of trips emerged, helping to classify 385 (48%) trips with increased exposure to malaria vectors based on high forest penetration and whether the trip happened overnight. Age, outdoor sleeping structures and number of children were the best predictors of forest-goers' probability of engaging in high-risk trips. The probability of engaging in high-risk trips was high (~ 33%) in all strata of the forest-going population.

CONCLUSION

This study characterized the heterogeneity within the mobility patterns of forest-goers and attempted to further segment their role in malaria transmission in southern Lao People's Democratic Republic (PDR). National control programmes across the region can leverage these results to tailor their interventions and messaging to high-risk populations and accelerate malaria elimination.

Success rates and clinicopathologic associations with experimental outcomes of a novel circulating tumor cell (CTC) technology in advanced colon cancer (CC) and pancreatic cancer (PC)

805

Background: Studying CTC cultures (cx) ex-vivo can provide valuable insights into cancer metastases (mets). However, current immunoaffinity- and size-based-methods used to isolate and expand these cells have low success rates for culturing CTCs (6-20%). Here, we report our experience using a novel technology developed at Georgetown for culturing CTCs from patients (pts) with metastatic (m) CC, mPC, and locally advanced PC (LAPC). Methods: 44 peripheral blood samples were prospectively collected from 35 pts with adenocarcinoma across 3 cohorts (18 samples from 15 mCC pts, 21 samples from 15 mPC pts, and 5 samples from 5 LAPC pts). Pts were previously treated, treatment-naïve, or actively undergoing treatment. FiColl-Paque-based separation of red blood cells was performed, plasma and buffy coat cells were resuspended in cx medium, and successfully grown CTC cxs were processed and injected subcutaneously (subQ) in the flanks of mice. A single predetermined sample from each pt was used in assessing the clinicopathologic associations with experiment outcomes and survival analyses. Results: CTC cxs were successfully grown from 81.8% (36/44) of all samples. Cxs grew from 72.2% (13/18) of mCC, 85.7% (18/21) of mPC, and 100% (5/5) of LAPC samples. At the time of analysis, 25 injected mice were evaluable for subQ tumor growth. 4 mice failed to grow tumor, 10 were still under monitoring, and 11 grew tumor, 9 of which also developed mets. These were mostly macro-mets and partially mirrored the met pattern seen in the matched pt. Across all cohorts, samples were predominantly collected from pts during systemic treatment (79.5%), during 2nd- (36.4%) and 1st-line treatment (20.5%), at a median of 15 (0-111) and 5 (1-20) months after diagnosis in mPC/mCC and LAPC pts, respectively, after scans with new/progressing disease (72.7%), and with a median of 3 (1-9) sites of disease on scans done within 2 months of collection . In all pts, no clinicopathologic or genomic factor predicted for cx growth. In the mCC subgroup, female sex (p=0.044), longer time from diagnosis to CTC collection (p=0.033), and presence of lung mets (p=0.022) were associated with cx growth. With cohorts combined, the median pt progression-free survival was 174 days (95% CI 97-220) and median overall survival was not reached. There was no statistically significant relationship between cx growth and pt survival. Conclusions: This novel platform demonstrated historically high rates of successful CTC cx and xenograft tumor growth using samples from advanced CC and PC pts. Studies to elucidate reasons for mice failing to grow tumor and others with matched tumor-CTC molecular analyses are ongoing to validate this promising technology to ultimately use to identify biomarkers for metastases, uncover novel therapeutic targets, and inform clinical decisions.

Diagnostics and treatment for HER2+ mG&CRC: Learning outcomes of GetSMART

82

Background: Gastric/colorectal cancer (G&CRC) are among the most prevalent cancers. Efforts are ongoing to better assess their clinical/genomic factors. HER2 (human epidermal growth factor receptor 2) testing is strongly recommended in clinical practice to guide treatment. An accredited education program (GetSMART) was launched online (January 2021–April 2022) to equip healthcare providers (HCPs) with knowledge, skills, and confidence to accurately assess/apply molecular testing and therapy options for metastatic G&CRC patients. Methods: A knowledge/confidence-based assessment was embedded in four modules to measure learners’ knowledge mastery (% answering correctly with confidence) pre/post-activity. Self-reported confidence and anticipated performance in clinical practice were measured before/after each module. At the end of program, HCPs were asked about their commitment to change. McNemar’s test was applied to assess statistical significance in pre-post for paired items, and descriptive analysis for non-paired items. Results: Overall, 925 unique HCPs engaged in GetSMART, 31% (n=284) completed all modules, of which 57% (n=163) consented analysis of their data. A statistically significant increase (p<0.05) was measured in percentage of HCPs demonstrating knowledge mastery, confidence, and commitment to change their practice from pre to post across four competencies, except for percentage of HCPs “often”/“always” engaging patients in shared decision-making (SDM) (3, Performance). Largest gains in knowledge mastery/confidence were noted for HCPs’ ability to anticipate/manage adverse events (AE) ( 4A); and for anticipated performance, in HCPs considering appropriate treatment. Post-activity, 66% (98/149) of HCPs intended to change practice based on module content, 83% (70/84) of whom were “highly”/“somewhat” confident to make changes. The activity’s anticipated impact on patients was rated “major”/“moderate” by 69% (103/149) of HCPs. Conclusions: Identification of HER2 aberrations in mG&CRC and its appropriate treatment selection remains challenging in oncology care. This evaluation demonstrated that GetSMART positively impacted HCPs’ knowledge, confidence, and anticipated performance in clinical practice to enhance health outcomes of HER2+ mG&CRC patients. [Table: see text]

Analysis of HLA gene expression in patients with dMMR/MSI-H colorectal carcinoma resistant to immune checkpoint inhibitors

202

Background: Large studies have identified immune checkpoint inhibitors (ICI) as an effective therapy for deficient mismatch repair/microsatellite instability high (dMMR/MSI-H) colorectal cancer (CRC). However, a subset of dMMR/MSI-H CRC patients exist that do not benefit from ICI and show rapid cancer progression within the first 6 months of therapy. Genetic alterations of the host immune system, including loss of β2M and single copy loss of HLA molecules, can contribute to innate resistance to ICI. In this study, we sought to analyze the role of expression of HLA genes and β2M as determinants of innate resistance to ICI by analyzing an extensive clinico-genomic database. Methods: Next-generation sequencing (NGS) of DNA (592-gene or whole exome) and RNA (whole transcriptome) was performed on CRC patient samples (n = 24,394) submitted to a CLIA-certified laboratory (Caris Life Sciences, Phoenix, AZ). dMMR/MSI-H was assessed by IHC/NGS. PD-L1 expression was tested by IHC (SP142; positive (+): ≥2+, ≥%5). Real world overall survival and treatment data were obtained from insurance claims data. Time-To-Next-treatment (TTNT) was calculated from start of ICI monotherapy to the start of next therapy, or death. Kaplan-Meier estimates were used for comparison. A composite signature of MHC II gene expression was tested for molecular associations. Immune cell infiltration was estimated by RNA deconvolution using quanTIseq. Statistical significance was determined using Fisher’s Exact/Mann Whitney/X2 tests. Results: We identified 1549 patients with dMMR/MSI-H CRC; 242 patients of these had received pembrolizumab or nivolumab. Using TTNT as a proxy for progression on treatment, we divided the patients into two cohorts: >180 days TTNT and <180 days TTNT. Following manual curation of the cases by two oncologists and limiting the patients to those who had received ≥ 2 doses of either ICI and at least 180 days of recorded follow up, we generated cohorts of 77 patients (>180 days TTNT; good responders) and 34 patients (<180 days TTNT; poor responders). High expression of HLA genes (HLA-DRB1, HLA-B, HLA-DQB1, HLA-DPB1, HLA-DPA1- p<0.02; fold change 2.1-3) was found in the good responder group. No β2M alterations were detected in either subgroup. After dividing the entire cohort into quartiles, patients in the highest quartile of expression for either CD74, HLA-DQA1, HLA-DQB1, HLA-DPB1 or HLA-DRB1 had improved survival when compared to lower expressors (p< 0.05). High MHC II signature expression was associated with an increased rate of PD-L1+ (34 vs 8%, p<0.0001) and infiltration of M1 macrophages (9.1 vs 4.9%, p<0.0001). Conclusions: We identify elevated expression of HLA genes involved in formation of the MHC-II complex as a potential biomarker of improved response to immunotherapy that could, if further validated, optimize patient selection for ICI in CRC.

SETD2 gene expression and the molecular landscape of colorectal cancer (CRC)

184

Background: SETD2, a key methyltransferase modulating histone 3 gene transcription, has been shown to act as a tumor suppressor gene by reducing oxidative stress, colonic inflammation and tumorigenesis in animal models. SETD2 gene expression has been reported to be significantly downregulated in CRC and linked with poorer patient survival. Additionally, SETD2 plays an important role in DNA repair and loss of function mutations have been associated with increased tumor mutational burden (TMB), mismatch repair (MMR) deficiency, and benefit from immunotherapy. Hence, we aimed to characterize the molecular features associated with SETD2 gene expression in CRC. Methods: 15,425 CRC tumors tested at Caris Life Sciences (Phoenix, AZ) with NextGen Sequencing on DNA (592 genes or whole exome sequencing), RNA (whole transcriptome sequencing), and IHC were analyzed. SETD2-high and -low expression were defined as ≥ top and < bottom quartile of SETD2 transcripts per million (TPM), respectively. Cell infiltration in the tumor microenvironment (TME) was estimated by QuantiSEQ. Mann-Whitney U and X2/Fisher-Exact tests were applied where appropriate, with P-values adjusted for multiple comparisons ( q < .05). Gene expression profiles were analyzed for transcriptional signatures predictive of response to immunotherapy (T cell-inflamed) and MAPK pathway activation (MPAS). Real-world overall survival information was obtained from insurance claims data and Kaplan-Meier estimates were calculated for molecularly defined patients. Results: SETD2 expression was significantly increased in left-sided/rectal compared to right-sided tumors (median TPM [mTPM] 55.8 vs 51.1, q < .001). SETD2 mutations were associated with reduced SETD2 expression in pMMR/MSS CRC (mTPM 37.9 vs 54.3 in WT, q < .001), although not statistically significant in dMMR/MSI-H CRC (mTPM 43.6 vs 51.7 in WT, P = .17). Compared to SETD2-high tumors, SETD2-low was associated with increased rates of TMB-high (10.4% vs 8.2%, P = .009), dMMR/MSI-H (7.3% vs 5.6%, P = .02), and PD-L1 IHC levels (4.4% vs 2.5%, q < .002). Only minor differences in gene mutation and copy number rates were observed between SETD2-high and -low tumors , whereas SETD2-high TME was associated with increased immune cell infiltration, including neutrophils, B cells, NK cells, M2 macrophages, and dendritic cells ( q < .05). SETD2-high was also associated with increased T cell-inflamed and MPAS signatures (152% and 159% median increase, respectively, q < .001), regardless of tumor MMR status. Among dMMR/MSI-H CRC, SETD2-high tumors receiving immune checkpoint inhibitors had longer time-on-treatment (HR: 0.39, 95% CI: 0.2-0.76, P = .005) and a trend towards longer OS (HR: 0.29, 95% CI: 0.07-1.2, P = .069). Conclusions: Our data show distinct immune biomarkers and TME cell infiltration associated with SETD2 gene expression in CRC. These findings support a key role for SETD2 in modulating anti-tumor immunity and TME.

Tumor mutation burden in colorectal cancers with POLE exonuclease and non-exonuclease domain variants

224

Background: Driver mutations in the exonuclease domain (ExoD) of DNA polymerase epsilon ( POLE) have been associated with high tumor mutation burden (TMB). High TMB is an important marker for immunotherapy, and thus understanding the mechanisms that lead to high TMB is an area of active investigation. Many tumors with POLE ExoD driver mutations have additional POLE variants of uncertain significance (VUS). Some of these VUS lie within the ExoD, while most lie outside the ExoD. This study investigates the role of such POLE VUS on TMB and POLE functionality of ExoD-mutated tumors. Methods: Retrospective colorectal cancer (CRC) genomic profiles from Caris Life Sciences (n=1,870) were separated into groups based on the presence of POLE ExoD mutations and the TMB status. Groups were defined as: ‘TMB-high (TMB-H) POLE ExoD driver without additional POLE VUS’, ‘TMB-H POLE ExoD driver plus POLE VUS’, and ‘TMB-low (TMB-L) POLE variant(s) without ExoD driver’. An additional group with ‘TMB-H POLE variant(s) without ExoD driver’ was identified as potentially novel drivers for future study. The microsatellite instability status (MSI or MSS) was also considered. The level of TMB, the presence of polymerase proofreading-associated mutational signatures and POLE stability/functionality analyzed using AlphaFold2 models and Rosetta Molecular Modeling Suite, were evaluated. Results: POLE variants were identified in 4.9% of the CRCs studied (92/1870). In all, 52.2% (48/92) of those tumors were TMB-H, and 38.0% (35/92) of them contained POLE ExoD drivers. The highest median TMB (mTMB) was found in the ‘TMB-H POLE ExoD driver plus POLE VUS’ group, and this was significantly different from the ‘TMB-H POLE ExoD driver without additional POLE VUS’ and the ‘TMB-L POLE variant without ExoD driver’ group, even when MSI tumors were excluded (p<0.001, Mann-Whitney). These results were validated in TCGA CRC tumors and in other tumor types. Within the ‘TMB-H POLE ExoD driver plus POLE VUS’ group, the mTMB increased with the number of accumulated POLE VUS (p<0.001, Mann Whitney). The nucleotide sequence context of 77.8% of the POLE VUS matched mutational spectra associated with POLE ExoD defects, suggesting that most of the POLE VUS are secondary to the ExoD driver mutation. Finally, the majority of POLE VUS within ‘TMB-H POLE ExoD driver plus POLE VUS’ group have a predicted effect on POLE stability and/or function. Conclusions: Our results suggest that the presence of secondary POLE non-driver variants increase TMB in POLE ExoD-mutated tumors. Although still preliminary, these data could impact prognosis and response to immune checkpoint inhibitors in patients. [Table: see text]

Continuous maintenance (Maint) capecitabine (Cape) dosing for colorectal (CRC) and pancreatic cancers (PC): A single-institution, retrospective, real-world study

789

Background: Cape is an oral fluoropyrimidine (FP) used as maint therapy in CRC and PC. While the standard FDA dosing is 1250 mg/m2 twice daily (BID) for 14 days followed by 7 days off in a 21-day cycle, there are variations across institutions as to the preferred schedule. To improve tolerability and convenience, our institution adopted a “continuous” dosing schedule where cape is taken BID Monday-Friday (M-F) with a treatment break on Saturday and Sunday. Here, we describe our institution’s experience with continuous maint dosing in advanced CRC and PC patients (pts) and explore real-world outcomes. Methods: Pts ≥ 18 years of age treated with continuous maint cape (+/- bevacizumab) after any line of therapy for stage 4 CRC/PC or locally advanced PC between 1/2016-12/2020 were identified in the COTA real-world database. The final study population included 35 PC and 85 CRC pts. Pt characteristics were analyzed descriptively and progression-free survival (PFS) was calculated using Kaplan Meier methods. Results: Among the 35 PC pts, the median age was 66 years (IQR: 61-73), 57.1% were females, and 65.7% were Caucasian. Among the 85 CRC pts, the median age was 54 years (IQR: 47-66), 47.1% were females, and 55.3% were Caucasian. Most PC (71.4%) and CRC (57.7%) pts were initially prescribed a total daily cape dose of 2 g (range 0.5-4 g). Dose adjustments, including dosage/schedule changes, occurred 11 times amongst PC and 36 times amongst CRC pts, and the leading cause was toxicity (72.7% in PC, 55.6% in CRC). Among PC pts, 14.3% had a dose reduction, 3% had a dose increase, and 11.4% switched to an alternative dosing schedule. Among CRC pts, these rates were 32.9%, 12.9%, and 9.4%, respectively. The leading cause of maint discontinuation was progression of disease (POD) (55.6% in PC, 59.3% in CRC). Additional outcomes are summarized in the table. Conclusions: Although maint FP is an established standard of care, it is often underutilized due to inherent inconveniences and toxicities associated with FDA cape dosing or intravenous FP therapy. The PFS reported here using a continuous cape dosing (predominantly starting at 2 g daily dosing) was in range with those previously reported in PC/CRC 1st-line maint studies using FDA cape dosing or intravenous FP. The rates of cape discontinuation attributed to toxicity we report may be confounded by not controlling for the treatment setting. We argue fixed cape dosing (1 g BID) M-F should be considered a standard maint regimen based on efficacy, convenience, tolerability, and feasibility of dose adjustments.[Table: see text]

Comparative analysis of the molecular profile and tumor immune microenvironment (TIME) of human epidermal growth factor receptor 2 (HER2) low (L)- versus high (H)-expressing gastroesophageal cancers (GEC)

287

Background: Addition of immune checkpoint blockade to anti-HER2 therapy has improved outcomes in HER2-positive GEC. Anti-HER2 antibody-drug conjugates have shown activity in some HER2-L tumors in other tumor types. We aimed to compare the molecular profile and TIME of HER2-L and HER-H GEC. Methods: 8678 GEC (gastric, GE junction, and esophageal) adenocarcinoma and squamous cell carcinoma samples were analyzed by next-generation sequencing (NGS) of RNA (whole transcriptome, NovaSeq), DNA (592 genes, NextSeq, or whole exome sequencing, NovaSeq), and immunohistochemistry (IHC, Caris Life Sciences, Phoenix, AZ). Cohorts were stratified by IHC HER2 values of 0 (non-expressors), 1-2+ (HER2-L), or 3+ (HER2-H) and compared using X2 or Fisher-Exact. Statistical significance was determined as P-value adjusted for multiple comparisons (q < 0.05). Microenvironment cell population (MCP) counter was used to quantify immune cell infiltration. Results: Tumor were grouped into HER2 non-expressors (N = 5217), L (N = 2660), and H (N = 801). Mutations of TP53 (72% vs 92%) and amplification of MYC (4% vs 7%), CCNE1 (7% vs 12%), CCND3 (2% vs 4%), CDK6 (3% vs 6%), SMARCE1 (2% vs 25%) and RARA (3% vs 24%) were significantly lower in HER2-L compared to HER2-H (q < 0.05). ARID1A (14% vs 9%), PIK3CA (8% vs 3%), KRAS (9% vs 2%), GNAS (2% vs 0.3%), KMT2D (6% vs 1%), CDH1 (5% vs 1%), and ATM (4% vs 1%) mutations were significantly higher in HER2-L compared to HER2-H (q < 0.05). HER2-L was associated with more TMB-H (9.3% vs. 5%; q<0.05), MSI-H (4.7% vs. 0.6%; q<0.05), and a trend towards higher PD-L1 expression than in HER2-H (80.8% vs 76.1%, p < 0.05 but q > 0.05). Immuno-oncology (IO)-related gene expression inversely correlated with HER2 expression with lowest expression of PDCD1LG2, CD274, CTLA4, PDCD1, HAVCR2, CD80, IFNG, LAG3, and CD86 in HER2-H (q < 0.05). HER2-L had significantly higher median immune infiltration of B cells (fold change [FC]: 1.22), T cells (FC: 1.16), CD8+ T cells (FC: 1.56), NK cells (FC: 1.12), neutrophils (FC: 1.10), cytotoxic lymphocytes (FC: 1.36), and myeloid dendritic cells (FC: 1.34), compared to HER2-H (q < 0.05). HER2 non-expressors showed similar immune cell infiltrates compared to HER2-H. HER2-H was associated with lower T-cell inflamed scores and IFN gamma signature when compared to HER2-L and non-expressors (q < 0.05). Conclusions: To our knowledge, this study is the first and largest comparison of molecular profile and TIME in HER2-expressing GEC. We demonstrated distinct molecular and TIME profiles with higher immunogenic profiles in HER-L as compared to HER2-H. IO-related gene expression and TIME cell distribution differences in HER2-H GEC suggest that response to IO and HER2 therapy combinations is likely related to HER2-targeted treatment effect on TIME rather than baseline immunogenicity of the tumor.

Molecular correlates of DSCR1 expression in colorectal cancer (CRC)

185

Background: Down syndrome (DS), a genetic disorder caused by trisomy of chr 21, is associated with a considerably lower risk for solid tumors and other angiogenesis related diseases. DSCR1 belongs to a family of evolutionary conserved protein-coding genes located on chr 21 and is highly upregulated in DS patients. Its product, calcipressin-1, has been shown to reduce cancer risk by suppressing angiogenesis. We previously reported that a germline polymorphism in DSCR1 was associated with time to recurrence in resected CRC and anti-VEGF treatment outcomes in metastatic CRC. Here, we analyzed the molecular landscape of CRC according to DSCR1 expression levels. Methods: 20,237 samples from CRC tested at Caris Life Sciences (Phoenix, AZ) with WTS (Illumina NovaSeq) and NextGen DNA sequencing (NextSeq, 592 Genes and NovaSEQ, WES) were analyzed. Top quartile transcripts per million (TPM) for DSCR1 expression were considered high (Q4) while bottom quartile low (Q1). Cell infiltration (CI) in the tumor microenvironment (TME) was estimated by RNA deconvolution analysis using QuantiSEQ. Interferon-gamma and T-cell inflamed signatures were also calculated from RNA data. X2 and Fisher-Exact tests were used and statistical significance was determined as P-value adjusted for multiple comparisons ( q < 0.05). Results: DSCR1 expression was higher in primary tumors than metastases (10.5 vs 8.1 median TPM, q < 0.05). No significant difference was observed in right- versus left-sided tumors, however rectal tumors showed the highest DSCR1 expression ( P < 0.05). Overall, high DSCR1 TPM were associated with TMB-high (11.3% vs 9.3%), dMMR/MSI-H (7.9% vs 5.9%), and PD-L1 (4.7% vs 3.1%) ( q < 0.01); the association with TMB-H was not significant in pMMR/MSS. DSCR1 high was associated with lower mutation rates of APC, KRAS, TP53 and amplification of FLT1/ FLT3, while higher mutation rates of KMT2C/D, BRAF, PTEN, RNF43, and RSPO3 fusions ( q < 0.0001). Gene set enrichment analysis showed that high DSCR1 expressing tumors were enriched in alterations of several pathways including hypoxia, apoptosis, DNA repair, KRAS signaling, inflammatory response, and oxidative stress-related pathways (all P < 0.05, FDR < 0.25). B cells, macrophages, neutrophils, NK cells, Tregs, cancer associated fibroblasts and endothelial cells were more abundant in the TME of tumors with high DSCR1 while myeloid dendritic cells were lower, regardless of MMR status (all q < 0.001). DSCR1 expression was associated with a higher T-cell inflamed signature and IFN score ( q < 0.05). Conclusions: This is the first and most extensive profiling study to investigate DSCR1 expression in CRC. Our data show a strong association between tumor DSCR1 gene expression and distinct molecular features and TME cell infiltration. These findings suggest that DSCR1 holds potential as a novel therapeutic target for CRC and may be an important player in TME modulation.

Tissue factor expression in colorectal cancer

250

Background: Tissue factor (TF), a component of the coagulation cascade, transmembrane receptor, and cofactor for factor VII/VIIa is expressed by subendothelial cells and critical to hemostasis, thrombosis, cell proliferation, angiogenesis, and metastasis. TF is suggested to have a critical role in colorectal cancer (CRC). Here we assessed the clinico-molecular features associated with TF expression (exp) in CRC. Methods: Tumor molecular profiling was performed for 14,0786 samples by NextGen Sequencing on DNA (592 genes or WES) and RNA (WTS) and immunohistochemistry (IHC) at Caris Life Sciences (Phoenix, AZ). TF-high (TF-H) and TF-low (TF-L) RNA exp were defined as ≥ 75th- and < 25th-percetile of TF transcripts per million (TPM), respectively. X2/Fisher-exact and Mann Whitney U tests were used for comparison, and P-values were adjusted for multiple comparisons. Cell infiltration in the tumor microenvironment (TME) was estimated by quanTIseq. Real-world overall survival (OS) information was obtained from insurance claims data and Kaplan-Meier estimates were calculated for molecularly defined patients (pts). Results: TF exp was higher in primary tumors compared to metastatic sites (2.3-fold, P < 0.001); higher in lung vs. liver metastases (0.6-fold and 0.3-fold, p < 0.001); higher in rectal (1.4-fold), right-sided (1.3-fold), and transverse (1.2-fold) compared to left-sided (P < 0.001); and highest in CMS1 tumors (CMS2 0.4-fold, CMS3 0.7-fold, CMS4 0.8-fold, P < 0.001). TF exp was higher in tumors with high TMB (TMB ≥ 10 Mut/Mb) (1.6-fold), dMMR/MSI-H (1.9-fold), and PD-L1 exp (1.8-fold) (P < 0.001 each). Compared to WT tumors, mutations in KRAS (1.2-fold, P < 0.001), BRAF (1.5-fold, P < 0.001) and ERBB2 (1.2-fold, P < 0.01) were associated with higher TF exp. In pMMR/MSS CRC, TF-L tumors were associated with TP53, APC, and NRAS mutations, and TF-H was associated with KRAS, PIK3CA, SMAD4, FBXW7, BRAF, ARID1A, GNAS, SMAD2, RNF43, KMT2D and BRCA1 mutations. TF exp was positively associated with most immune cell populations, most strongly with endothelial cells. In pMMR/MSS KRAS WT CRC, TF-H was associated with worse OS than TF-L. TF-H was also associated with worse OS for pMMR/MSS CRC pts treated with FOLFOX (HR: 1.5, CI:1.2-1.8, p < 0.0001), FOLFIRI (HR:1.7, CI:1.3-2.1, p < 0.0001), VEGF (HR:1.3, CI:1.1-1.6, p = 0.002) and EGFR inhibitors (HR:1.6, CI:1.1-2.3, p = 0.009) than TF-L. TF-H was associated with greater median days on pembrolizumab compared to TF-L in dMMR/MSI-H CRC (HR: 0.6, CI: 0.4-0.9, p = 0.018). Conclusions: Our data show TF exp is associated with distinct clinical and molecular features, including tumor sidedness and metastatic pattern, as well as CMS subtype and KRAS, BRAF and ERBB2 mutations. TME cell infiltration and IO-related biomarkers were enriched in TF-H, with TF exp correlating with endothelial cell abundance. These findings and associations with patient outcomes suggest that TF may be a relevant biomarker and target in CRC.

The role of gene expression of CD47 in colorectal cancer (CRC)

240

Background: CD47 belongs to the immunoglobulin superfamily and is overexpressed in many tumor types. CD47 plays an important role in suppressing phagocytosis through binding to transmembrane protein SIRP-alpha on macrophages. Targeting CD47 is a novel strategy for cancer immunotherapy and is being evaluated in ongoing clinical trials. However, molecular characteristics of CD47-overexpressed colorectal cancer (CRC) are largely unknown. Methods: We retrospectively reviewed CRC patient samples (n = 14786) submitted to a commercial CLIA-certified laboratory (Caris Life Sciences, Phoenix AZ). Next-generation sequencing of DNA and RNA (whole-transcriptome sequencing) and immunohistochemistry were performed. Correlation of CD47 expression with danger-associated molecular pattern (DAMP)-related genes ( HMGB1, CALR, ANXA1, HSP90AA1, HSPA1A, and CXCL10) expressions was tested. DAMP signature calculated as composite z-score of the DAMP related genes was compared between CD47-high and -low patients classified according to the median level of CD47 expression. Distributions of KRAS and BRAF mutations, consensus molecular subtype (CMS), and signatures of oncogenic signaling pathways were compared between CD47-high and -low patients. In addition, overall survival (OS) was compared between CD47-high and -low patients available for survival data. Results: CD47 expression level was significantly higher in metastatic compared to primary lesions (1.07-fold, q < 0.05) and microsatellite instability high tumors compared to microsatellite stable tumors (1.15-fold, q < 0.05). CD47 expression was positively correlated with DAMP genes expression except for HSPA1A, and the DAMP signature (median score [MS]: 2.66 vs -2.29, q < 0.05) was significantly increased in CD47-high patients. KRAS mutations were less prevalent (45.87% vs 50.05%) and CMS1(17.72% vs 14.42%) and CMS4 (40.33% vs 27.28%) were more prevalent in CD47-high patients, while no difference was observed in the prevalence of BRAF mutations between CD47-high and -low patients. Signatures of EMT (MS:2.91 vs -3.19), TGF-beta (MS:3.72 vs -3.52), angiogenesis (MS:2.95 vs -2.78), MAPK (MS:4.99 vs -4.12), PI3K (MS:2.41 vs -2.03), and immune-related signaling pathways (MS:1.20 vs -2.51) were significantly enriched in CD47-high patients (all q < 0.05). CD47-high patients (n = 4873) showed significantly worse OS than CD47-low patients (n = 4898) (median OS, 32.4 vs 37.6 months; hazard ratio = 1.158, p< 0.01). Conclusions: Highly CD47-expressed CRC harbored activation of DAMPs and oncogenic signaling pathways that linked to aberrant tumor microenvironment and worse prognosis. Our results support intensive treatment strategies using CD47 inhibitors combined with cytotoxic agents and molecular targeted agents (such as anti-VEGF agents) in CD47-overexpressed CRC.

The role of gene expression of CDC37 in colorectal cancer (CRC)

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Background: CDC37-HSP90 axis is an essential chaperoning system for stabilization of kinases. CDC37 determines selectivity of client kinases recognized by HSP90. We previously showed patients with CDC37-dependent ( CDC37 high expression) colorectal cancer (CRC) derived more benefit from regorafenib and bevacizumab both of which target HSP90 client kinases or signaling pathway, but not from cetuximab which targets HSP90 non-client kinase. However, molecular characteristics and interaction with relevant signaling pathways in CDC37-dependent CRC are largely unknown. Methods: We retrospectively reviewed CRC patient samples submitted to a commercial CLIA-certified laboratory (Caris Life Sciences, Phoenix AZ). Next-generation sequencing of DNA and RNA (whole-transcriptome sequencing) and immunohistochemistry were performed. Molecular profiles between top quartile transcripts per million for CDC37 expression (Q4, CDC37-high: n = 5056) and bottom quartile (Q1, CDC37-low: n = 5056) were compared for gene mutations, microsatellite instability (MSI) status, PD-L1 expression, co-expression of HSP90 genes ( HSP90AA1 and HSP90AB1), MAPK pathway activity score (MPAS), T-cell inflamed signature, and cell infiltration in the tumor microenvironment (TME) assessed by QuantiSEQ. Gene set enrichment analysis (GSEA) was performed between CDC37-high (Q4) and CDC37-low (Q1) tumors. Results: KRAS mutations trended higher in CDC37-high tumors compared to CDC37-low tumors (49.5% vs 47.1%) while APC (76.9% vs 72.3%), TP53 (75.5% vs 71.8%) and TCF7L2 (5.0% vs 3.5%) mutations were significantly higher in CDC37-high tumors compared to CDC37-low tumors (q < 0.05). No significance in expression quartiles were observed for dMMR/MSI-H or PD-L1 expression. HSP90AA1 and HSP90AB1 expression levels were significantly higher in CDC37-high tumors (2.9-fold and 2.6-fold in median, respectively; both q< 0.05). Both MPAS and T-cell inflamed signatures were significantly higher in CDC37-high tumors ( q< 0.05). Infiltration of NK cells, Tregs, neutrophils, M1 macrophages, and B-cells were greater in CDC37-high tumors (q < 0.05). GSEA showed several signaling pathways, such as KRAS, TGF-beta, hypoxia, WNT-beta catenin, and PI3K-AKT-MTOR, were enriched in CDC37-high tumors. Conclusions: Highly CDC37-expressed (CDC37-dependent) CRC was associated with aberrant TME where abundance of immune cell infiltrate and broad activation of kinase-related signaling pathways were evident. Our results support the kinase-stabilizing function of CDC37 in CRC. Further investigations combined with survival data are warranted to address the prognostic and predictive values of CDC37 expression in targeted therapies of CRC.

Phase I study of proton therapy in adjuvant pancreatic cancer (PROTON-PANC)

709

Background: Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis, with a 5-year survival rate of 10%. The current standard of care for patients with resectable disease is surgical resection followed by 6 months of adjuvant mFOLFIRINOX (mFFX) chemotherapy. As survival outcomes and distant recurrence rates improve with the use of mFFX, locoregional recurrence remains a significant cause of morbidity and mortality. We sought to integrate short-course proton radiation therapy (PRT) to the operative bed between cycles of adjuvant chemotherapy in patients with resected PDAC of the pancreatic head. Methods: Between 2019 and 2022, patients with resected PDAC with an R0 or R1 resection on adjuvant mFFX were enrolled in a phase I trial using a 3+3 dose-escalation schema (NCT03885284). Patients received mFFX as used in the PRODIGE 24 study and also received short-course PRT delivered over 1 week in 5 fractions (5 GyE each) between cycles 6 and 7 of mFFX. In dose level 1 (DL1), patients received PRT on days 15-19 in a 28-day cycle before starting cycle 7, and in dose level 2 (DL2) patients received PRT on days 8-12 in a 21-day cycle before starting cycle 7. Results: Nine patients were enrolled on the trial, median age 66 (range 52-78). Five had R0 resections, 4 had R1 resections, and 5 had node-positive disease. No patients received preoperative therapy, and none underwent vein reconstruction. Three patients were enrolled on DL1 and 6 patients on DL2. One dose limiting toxicity (DLT) occurred at DL2 (prolonged grade 3 neutropenia resulting in discontinuation of mFFX after cycle 7). No other DLTs were observed. Four patients completed the planned 12 cycles of mFFX (range 7-12, median 11). None of the patients have had local recurrence. Five of 9 patients had recurrence: 3 in the liver, 1 in the peritoneum, and 1 in the bone. Six patients are still alive, 4 of whom are recurrence free. With a median follow up from date of chemotherapy start of 12.5 months, median time to disease recurrence was 12 months (95% confidence interval [CI] 4-not reached [NR]), and median overall survival has not been reached (95% CI 6-NR, 2-year survival rate 57%). Conclusions: PRT integrated within adjuvant mFFX was well-tolerated and no local recurrence was observed for patients with resected PDAC. These findings warrant being confirmed in a phase II trial. Clinical trial information: NCT03885284 .

Impact of sea ice transport on Beaufort Gyre liquid freshwater content

The Arctic Ocean's Beaufort Gyre (BG) is a wind-driven reservoir of relatively fresh seawater, situated beneath time-mean anticyclonic atmospheric circulation, and is covered by mobile pack ice for most of the year. Liquid freshwater accumulation in and expulsion from this gyre is of critical interest due to its potential to affect the Atlantic meridional overturning circulation and due to the importance of freshwater in modulating vertical fluxes of heat, nutrients and carbon in the ocean, and exchanges of heat and moisture with the atmosphere. Here, we investigate the hypothesis that wind-driven sea ice transport into/from the BG region influences the freshwater content of the gyre and its variability. To test this hypothesis, we use the results of a coordinated climate response function experiment with four ice-ocean models, in combination with targeted experiments using a regional setup of the MITgcm, in which we rotate the surface wind forcing vectors (thereby changing the ageostrophic component of these winds). Our results show that, via an effect on the net thermodynamic growth rate, anomalies in sea ice transport into the BG affect liquid freshwater adjustment. Specifically, increased ice import increases freshwater retention in the gyre, whereas ice export decreases freshwater in the gyre. Our results demonstrate that uncertainty in the ageostrophic component of surface winds, and in the dynamic sea ice response to these winds, has important implications for ice thermodynamics and freshwater. This sensitivity may explain some of the observed inter-model spread in simulations of Beaufort Gyre freshwater and its adjustment in response to wind forcing.

Using the AR-V7 biomarker to determine treatment in metastatic castrate resistant prostate cancer, a feasibility randomised control trial, conclusions from the VARIANT trial

Background

Prostate cancer is the most commonly diagnosed malignancy in the UK. Castrate resistant prostate cancer (CRPC) can be difficult to manage with response to next generation hormonal treatment variable. AR-V7 is a protein biomarker that can be used to predict response to treatment and potentially better inform management in these patients. Our aim was to establish the feasibility of conducting a definitive randomised controlled trial comparing the clinical utility of AR-V7 biomarker assay in personalising treatments for patients with metastatic CRPC within the United Kingdom (UK) National Health Service (NHS). Due to a number of issues the trial was not completed successfully, we aim to discuss and share lessons learned herein.

Methods

We conducted a randomised, open, feasibility trial, which aimed to recruit 70 adult men with metastatic CRPC within three secondary care NHS trusts in the UK to be run over an 18-month period. Participants were randomised to personalised treatment based on AR-V7 status (intervention) or standard care (control). The primary outcome was feasibility, which included: recruitment rate, retention and compliance. Additionally, a baseline prevalence of AR-V7 expression was to be estimated.

Results

Fourteen participants were screened and 12 randomised with six into each arm over a nine-month period. Reliability issues with the AR-V7 assay meant prevalence was not estimated. Due to limited recruitment the study did not complete to target.

Conclusions

Whilst the trial did not complete to target, we have ascertained that men with advanced cancer are willing to take part in trials utilising biomarker guided treatment. A number of issues were identified that serve as important learning points in future clinical trials.

First Constraints on Light Sterile Neutrino Oscillations from Combined Appearance and Disappearance Searches with the MicroBooNE Detector

We present a search for eV-scale sterile neutrino oscillations in the MicroBooNE liquid argon detector, simultaneously considering all possible appearance and disappearance effects within the 3+1 active-to-sterile neutrino oscillation framework. We analyze the neutrino candidate events for the recent measurements of charged-current ν_{e} and ν_{μ} interactions in the MicroBooNE detector, using data corresponding to an exposure of 6.37×10^{20} protons on target from the Fermilab booster neutrino beam. We observe no evidence of light sterile neutrino oscillations and derive exclusion contours at the 95% confidence level in the plane of the mass-squared splitting Δm_{41}^{2} and the sterile neutrino mixing angles θ_{μe} and θ_{ee}, excluding part of the parameter space allowed by experimental anomalies. Cancellation of ν_{e} appearance and ν_{e} disappearance effects due to the full 3+1 treatment of the analysis leads to a degeneracy when determining the oscillation parameters, which is discussed in this Letter and will be addressed by future analyses.

The impact of ultrasound-based antenatal screening strategies to detect vasa praevia in the United Kingdom: An exploratory study using decision analytic modelling methods

The objective of this exploratory modelling study was to estimate the effects of second-trimester, ultrasound-based antenatal detection strategies for vasa praevia (VP) in a hypothetical cohort of pregnant women. For this, a decision-analytic tree model was developed covering four discrete detection pathways/strategies: no screening; screening targeted at women undergoing in-vitro fertilisation (IVF); screening targeted at women with low-lying placentas (LLP); screening targeted at women with velamentous cord insertion (VCI) or a bilobed or succenturiate (BL/S) placenta. Main outcome measures were the number of referrals to transvaginal sonography (TVS), diagnosed and undiagnosed cases of VP, overdetected cases of VCI, and VP-associated perinatal mortality. The greatest number of referrals to TVS occurred in the LLP-based (2,083) and VCI-based screening (1,319) pathways. These two pathways also led to the highest proportions of pregnancies diagnosed with VP (VCI-based screening: 552 [78.9% of all pregnancies]; LLP-based: 371 [53.5%]) and the lowest proportions of VP leading to perinatal death (VCI-based screening: 100 [14.2%]; LLP-based: 196 [28.0%]). In contrast, the IVF-based pathway resulted in 66 TVS referrals, 50 VP diagnoses (7.1% of all VP pregnancies), and 368 (52.6%) VP-associated perinatal deaths which was comparable to the no screening pathway (380 [54.3%]). The VCI-based pathway resulted in the greatest detection of VCI (14,238 [99.1%]), followed by the IVF-based pathway (443 [3.1%]); no VCI detection occurred in the LLP-based or no screening pathways. In conclusion, the model results suggest that a targeted LLP-based approach could detect a substantial proportion of VP cases, while avoiding VCI overdetection and requiring minimal changes to current clinical practice. High-quality data is required to explore the clinical and cost-effectiveness of this and other detection strategies further. This is necessary to provide a robust basis for future discussion about routine screening for VP.

Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework

BACKGROUND

Universities are vulnerable to infectious disease outbreaks, making them ideal environments to study transmission dynamics and evaluate mitigation and surveillance measures. Here, we analyze multimodal COVID-19-associated data collected during the 2020-2021 academic year at Colorado Mesa University and introduce a SARS-CoV-2 surveillance and response framework.

METHODS

We analyzed epidemiological and sociobehavioral data (demographics, contact tracing, and WiFi-based co-location data) alongside pathogen surveillance data (wastewater and diagnostic testing, and viral genomic sequencing of wastewater and clinical specimens) to characterize outbreak dynamics and inform policy. We applied relative risk, multiple linear regression, and social network assortativity to identify attributes or behaviors associated with contracting SARS-CoV-2. To characterize SARS-CoV-2 transmission, we used viral sequencing, phylogenomic tools, and functional assays.

FINDINGS

Athletes, particularly those on high-contact teams, had the highest risk of testing positive. On average, individuals who tested positive had more contacts and longer interaction durations than individuals who never tested positive. The distribution of contacts per individual was overdispersed, although not as overdispersed as the distribution of phylogenomic descendants. Corroboration via technical replicates was essential for identification of wastewater mutations.

CONCLUSIONS

Based on our findings, we formulate a framework that combines tools into an integrated disease surveillance program that can be implemented in other congregate settings with limited resources.

FUNDING

This work was supported by the National Science Foundation, the Hertz Foundation, the National Institutes of Health, the Centers for Disease Control and Prevention, the Massachusetts Consortium on Pathogen Readiness, the Howard Hughes Medical Institute, the Flu Lab, and the Audacious Project.

Evaluation of Anterior and Posterior Corneal Higher Order Aberrations for the Detection of Keratoconus and Suspect Keratoconus

AIM

To investigate the application of anterior and posterior corneal higher-order aberrations (HOAs) in detecting keratoconus (KC) and suspect keratoconus (SKC).

METHOD

A retrospective, case-control study evaluating non-ectatic (normal) eyes, SKC eyes, and KC eyes. The Sirius Scheimpfug (CSO, Italy) analyses was used to measure HOAs of the anterior and posterior corneal surfaces. Sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) were calculated.

RESULTS

Two-hundred and twenty eyes were included in the analysis (normal n = 108, SKC n = 42, KC n = 70). Receiver operating characteristic (ROC) curve analysis revealed a high predictive ability for anterior corneal HOAs parameters: the root mean square (RMS) total corneal HOAs, RMS trefoil, and RMS coma to detect keratoconus (AUC > 0.9 for all). RMS Coma (3, ±1) derived from the anterior corneal surface was the parameter with the highest ability to discriminate between suspect keratoconus and normal eyes (AUC = 0.922; cut-off > 0.2). All posterior corneal HOAs parameters were unsatisfactory in discriminating between SKC and normal eyes (AUC < 0.8 for all). However, their ability to detect KC was excellent with AUC of >0.9 for all except RMS spherical aberrations (AUC = 0.846).

CONCLUSIONS

Anterior and posterior corneal higher-order aberrations can differentiate between keratoconus and normal eyes, with a high level of certainty. In suspect keratoconus disease, however, only anterior corneal HOAs, and in particular coma-like aberrations, are of value. Corneal aberrometry may be of value in screening for keratoconus in populations with a high prevalence of the disease.