ENABLE (Exportable Notation and Bookmark List Engine): an Interface to Manage Tumor Measurement Data from PACS to Cancer Databases.

Oncologists evaluate therapeutic response in cancer trials based on tumor quantification following selected "target" lesions over time. At our cancer center, a majority of oncologists use Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 quantifying tumor progression based on lesion measurements on imaging. Currently, our oncologists handwrite tumor measurements, followed by multiple manual data transfers; however, our Picture Archiving Communication System (PACS) (Carestream Health, Rochester, NY) has the ability to export tumor measurements, making it possible to manage tumor metadata digitally. We developed an interface, "Exportable Notation and Bookmark List Engine" (ENABLE), which produces prepopulated RECIST v1.1 worksheets and compiles cohort data and data models from PACS measurement data, thus eliminating handwriting and manual data transcription. We compared RECIST v1.1 data from eight patients (16 computed tomography exams) enrolled in an IRB-approved therapeutic trial with ENABLE outputs: 10 data fields with a total of 194 data points. All data in ENABLE's output matched with the existing data. Seven staff were taught how to use the interface with a 5-min explanatory instructional video. All were able to use ENABLE successfully without additional guidance. We additionally assessed 42 metastatic genitourinary cancer patients with available RECIST data within PACS to produce a best response waterfall plot. ENABLE manages tumor measurements and associated metadata exported from PACS, producing forms and data models compatible with cancer databases, obviating handwriting and the manual re-entry of data. Automation should reduce transcription errors and improve efficiency and the auditing process.

Validating a new computed tomography atlas for grading ankle osteoarthritis.

As the most common joint disease, osteoarthritis (OA) poses a significant source of pain and disability. It can be defined by classic radiographic findings, particular symptoms, or a combination of the 2. Although specific grading scales have been developed to evaluate OA in various joints, such as the shoulder, hip, and knee, no definitive classification system is available for grading OA in the ankle. The purpose of the present study was to create and validate a standardized atlas for grading (or staging) ankle osteoarthritis using computed tomography (CT) and "hallmark" findings noted on coronal, sagittal, and axial views extrapolated from the Kellgren-Lawrence radiographic scale. The CT scans of 226 patients at the Miami Veterans Affairs Medical Center were reviewed. An atlas was derived from a retrospective review of 30 remaining CT scans taken from July 2008 to November 2011. After this review, 3 orthogonal static CT images, obtained from 11 remaining patients, were chosen to represent the various stages on the OA scale and were used to test the validity of the atlas developed by 2 of us (M.M.C. and N.D.V.). A multispecialty panel of 9 examiners, excluding ourselves, independently rated the 11 CT scan subjects. The differences among examiners and specialties were calculated, including an intra-examiner agreement for 2 separate readings spaced 9 months apart. Although the small number of subspecialty examiners made the intraspecialty comparisons difficult to validate, the findings nevertheless indicated excellent agreement among all specialty groups, with good intra-investigational (intraclass correlation coefficient 0.962 and 1) inter-investigational (intraclass correlation coefficient 0.851) values. These results appeared to validate the CT ankle OA atlas, which we believe will be a valuable clinical and research tool, one that will likely be more beneficial than less relevant generalized OA grading scales in use today.

The Childhood Cancer Data Initiative: Using the Power of Data to Learn From and Improve Outcomes for Every Child and Young Adult With Pediatric Cancer.

Data-driven basic, translational, and clinical research has resulted in improved outcomes for children, adolescents, and young adults (AYAs) with pediatric cancers. However, challenges in sharing data between institutions, particularly in research, prevent addressing substantial unmet needs in children and AYA patients diagnosed with certain pediatric cancers. Systematically collecting and sharing data from every child and AYA can enable greater understanding of pediatric cancers, improve survivorship, and accelerate development of new and more effective therapies. To accomplish this goal, the Childhood Cancer Data Initiative (CCDI) was launched in 2019 at the National Cancer Institute. CCDI is a collaborative community endeavor supported by a 10-year, $50-million (in US dollars) annual federal investment. CCDI aims to learn from every patient diagnosed with a pediatric cancer by designing and building a data ecosystem that facilitates data collection, sharing, and analysis for researchers, clinicians, and patients across the cancer community. For example, CCDI's Molecular Characterization Initiative provides comprehensive clinical molecular characterization for children and AYAs with newly diagnosed cancers. Through these efforts, the CCDI strives to provide clinical benefit to patients and improvements in diagnosis and care through data-focused research support and to build expandable, sustainable data resources and workflows to advance research well past the planned 10 years of the initiative. Importantly, if CCDI demonstrates the success of this model for pediatric cancers, similar approaches can be applied to adults, transforming both clinical research and treatment to improve outcomes for all patients with cancer.

Transformation from committed progenitor to leukaemia stem cell initiated by MLL-AF9.

Leukaemias and other cancers possess a rare population of cells capable of the limitless self-renewal necessary for cancer initiation and maintenance. Eradication of these cancer stem cells is probably a critical part of any successful anti-cancer therapy, and may explain why conventional cancer therapies are often effective in reducing tumour burden, but are only rarely curative. Given that both normal and cancer stem cells are capable of self-renewal, the extent to which cancer stem cells resemble normal tissue stem cells is a critical issue if targeted therapies are to be developed. However, it remains unclear whether cancer stem cells must be phenotypically similar to normal tissue stem cells or whether they can retain the identity of committed progenitors. Here we show that leukaemia stem cells (LSC) can maintain the global identity of the progenitor from which they arose while activating a limited stem-cell- or self-renewal-associated programme. We isolated LSC from leukaemias initiated in committed granulocyte macrophage progenitors through introduction of the MLL-AF9 fusion protein encoded by the t(9;11)(p22;q23). The LSC were capable of transferring leukaemia to secondary recipient mice when only four cells were transferred, and possessed an immunophenotype and global gene expression profile very similar to that of normal granulocyte macrophage progenitors. However, a subset of genes highly expressed in normal haematopoietic stem cells was re-activated in LSC. LSC can thus be generated from committed progenitors without widespread reprogramming of gene expression, and a leukaemia self-renewal-associated signature is activated in the process. Our findings define progression from normal progenitor to cancer stem cell, and suggest that targeting a self-renewal programme expressed in an abnormal context may be possible.

The Montreal Cognitive Assessment (MoCA) in neuro-oncology: A pilot study of feasibility and utility in telehealth and in-person clinical assessments.

Background: Cognitive impairments are a common burden for patients with primary CNS tumors. Neuropsychological assessment batteries can be too lengthy, which limits their use as an objective measure of cognition during routine care. The purpose of this study was to evaluate the feasibility and utility of the brief Montreal Cognitive Assessment (MoCA) in routine in-person and telehealth visits (as a result of the global COVID-19 pandemic) with neuro-oncology patients. Methods: Seventy-one adults with primary CNS tumors completed MoCA testing in person (n = 47) and via telehealth (n = 24). Correlation analysis and patient-reported outcomes (PROs), including symptom burden and interference, perceived cognition, general health status, and anxiety and depression, were included in this study. Feasibility was assessed through a provider satisfaction questionnaire. Results: Patients were primarily White (83%), college-educated (71%) males (54%) with high-grade tumors (66%). The average total score on the MoCA administered in person was 25 (range: 6-30), with 34% classified as abnormal, and the average total score via telehealth was 26 (range: 12-30), with 29% classified as abnormal. Providers reported satisfaction in using the MoCA during routine clinical care, both in person and via telehealth. Lower MoCA scores correlated with worse symptom severity, KPS, age, education, and previous treatment. Conclusions: The MoCA was feasible in clinical and telehealth settings, and its relationship to clinical characteristics and PROs highlights the need for both objective and patient-reported measures of cognition to understand the overall cognitive profile of a patient with a CNS tumor.

Hypocalcemia in a patient with osteosarcoma and 22q11.2 deletion syndrome.

Hypocalcemia is a rare complication of osteosarcoma, having been described in only 4 reports. We present the case of a 16-year-old male with metastatic osteosarcoma of the right humerus who was found to have severe asymptomatic hypocalcemia. Cytogenetic analysis of peripheral blood revealed a microdeletion in band 22q11.2. Following amputation of the tumor-bearing extremity, the patient's calcium levels increased, but did not normalize. These findings suggested that the etiology of his hypocalcemia was osteoblastic utilization of calcium by the tumor, exacerbated by 22q11.2 deletion syndrome.

X-linked gray platelet syndrome due to a GATA1 Arg216Gln mutation.

We identified a family with gray platelet syndrome (GPS) segregating as a sex-linked trait. Affected males had a mild bleeding disorder, thrombocytopenia, and large agranular platelets characteristic of GPS, while obligate carrier females were asymptomatic but had dimorphic platelets on peripheral smear. Associated findings included mild erythrocyte abnormalities in affected males. Linkage analysis revealed a 63 cM region on the X chromosome between markers G10578 and DXS6797, which segregated with the platelet phenotype and included the GATA1 gene. Sequencing of GATA1 revealed a G-to-A mutation at position 759 corresponding to amino acid change Arg216Gln. This mutation was previously described as a cause of X-linked thrombocytopenia with thalassemia (XLTT) but not of gray platelet syndrome. Our findings suggest that XLTT is within a spectrum of disorders constituting the gray platelet syndrome, and we propose that GATA1 is an upstream regulator of the genes required for platelet alpha-granule biogenesis.