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Disparities in care, treatment-related toxicity and health-related quality of life (HRQoL) for adolescents and young adults (AYAs, aged 15-39 years) with cancer are under-addressed partly because of limited collection of patient-reported outcomes (PROs) in cancer clinical trials (CCTs). The AYA years include key developmental milestones distinct from younger and older patients, and cancer interrupts attainment of critical life goals. Lack of consensus on a standardized approach to assess HRQoL and treatment-related toxicity in AYA CCTs has limited the ability to improve patient outcomes. The National Cancer Institutes Clinical Trials Network AYA PRO Task Force was assembled to reach consensus on a core set of PROs and foster its integration into AYA CCTs. Eight key considerations for selecting the core PRO AYA battery components were identified: relevance to AYAs; importance of constructs across the age continuum; prioritization of validated measures; availability of measures without licensing fees; availability in multiple languages; applicability to different cancer types and treatments; ability to measure different HRQoL domains and toxicities; and minimized burden on patients and sites. The Task Force used a modified Delphi approach to identify key components of the PRO battery. The Patient-Reported Outcomes Measurement Information System (PROMIS) and the PRO Common Terminology Criteria for Adverse Events Measurement System met all criteria and were selected to assess HRQoL and treatment toxicity, respectively. Investigators are rapidly incorporating the recommendations of the Task Force into AYA trials. Inclusion of a standardized assessment of HRQoL and treatment toxicities in AYA CCTs is a vital first step to develop interventions to improve health outcomes for AYAs diagnosed with cancer.

BACKGROUND: Adverse events are often misreported in clinical trials, leading to an incomplete understanding of toxicities. We aimed to test automated laboratory adverse event ascertainment and grading (via the ExtractEHR automated package) to assess its scalability and define adverse event rates for children with acute myeloid leukaemia and acute lymphoblastic leukaemia. METHODS: For this retrospective cohort study from the Childrens Oncology Group (COG), we included patients aged 0-22 years treated for acute myeloid leukaemia or acute lymphoblastic leukaemia at Childrens Healthcare of Atlanta (Atlanta, GA, USA) from Jan 1, 2010, to Nov 1, 2018, at the Childrens Hospital of Philadelphia (Philadelphia, PA, USA) from Jan 1, 2011, to Dec 31, 2014, and at the Texas Childrens Hospital (Houston, TX, USA) from Jan 1, 2011, to Dec 31, 2014. The ExtractEHR automated package acquired, cleaned, and graded laboratory data as per Common Terminology Criteria for Adverse Events (CTCAE) version 5 for 22 commonly evaluated grade 3-4 adverse events (fatal events were not evaluated) with numerically based CTCAE definitions. Descriptive statistics tabulated adverse event frequencies. Adverse events ascertained by ExtractEHR were compared to manually reported adverse events for patients enrolled in two COG trials (AAML1031, NCT01371981; AALL0932, NCT02883049). Analyses were restricted to protocol-defined chemotherapy courses (induction I, induction II, intensification I, intensification II, and intensification III for acute myeloid leukaemia; induction, consolidation, interim maintenance, delayed intensification, and maintenance for acute lymphoblastic leukaemia). FINDINGS: Laboratory adverse event data from 1077 patients (583 from Childrens Healthcare of Atlanta, 200 from the Childrens Hospital of Philadelphia, and 294 from the Texas Childrens Hospital) who underwent 4611 courses (549 for acute myeloid leukaemia and 4062 for acute lymphoblastic leukaemia) were extracted, processed, and graded. Of the 166 patients with acute myeloid leukaemia, 86 (52%) were female, 80 (48%) were male, 96 (58%) were White, and 132 (80%) were non-Hispanic. Of the 911 patients with acute lymphoblastic leukaemia, 406 (45%) were female, 505 (55%) were male, 596 (65%) were White, and 641 (70%) were non-Hispanic. Patients with acute myeloid leukaemia had the most adverse events during induction I and intensification II. Hypokalaemia (one [17%] of six to 75 [48%] of 156 courses) and alanine aminotransferase (ALT) increased (13 [10%] of 134 to 27 [17%] of 156 courses) were the most prevalent non-haematological adverse events in patients with acute myeloid leukaemia, as identified by ExtractEHR. Patients with acute lymphoblastic leukaemia had the greatest number of adverse events during induction and maintenance (eight adverse events with prevalence ≥10%; induction and maintenance: anaemia, platelet count decreased, white blood cell count decreased, neutrophil count decreased, lymphocyte count decreased, ALT increased, and hypocalcaemia; induction: hypokalaemia; maintenance: aspartate aminotransferase [AST] increased and blood bilirubin increased), as identified by ExtractEHR. 187 (85%) of 220 total comparisons in 22 adverse events in four AAML1031 and six AALL0923 courses were substantially higher with ExtractEHR than COG-reported adverse event rates for adverse events with a prevalence of at least 2%. INTERPRETATION: ExtractEHR is scalable and accurately defines laboratory adverse event rates for paediatric acute leukaemia; moreover, ExtractEHR seems to detect higher rates of laboratory adverse events than those reported in COG trials. These rates can be used for comparisons between therapies and to counsel patients treated on or off trials about the risks of chemotherapy. ExtractEHR-based adverse event ascertainment can improve reporting of laboratory adverse events in clinical trials. FUNDING: US National Institutes of Health, St Baldricks Foundation, and Alexs Lemonade Stand Foundation.

ObjectiveAdverse event (AE) reporting is crucial for determining safety of trials. Adverse events are captured manually by clinical research associates (CRAs) and research nurses (RNs), and prior studies show underreporting. It is necessary to understand AE reporting training, processes, and institution-level differences to improve AE capture.MethodsA 26-item questionnaire regarding AE reporting training, identification, tracking, and challenges was distributed to all Children's Oncology Group (COG) CRAs and RNs from February 15 to March 11, 2019, regardless of if they report AEs based on limitations of COG rosters. Results were tabulated. Institutions were grouped by self-reported full-time equivalents and compared using χ2 tests.ResultsOf 1315 CRAs and 2703 RNs surveyed, 509 (12.7%) responded. Of those, 369 (64.9%) representing 71.8% of COG institutions report AEs. Only data from respondents who report AEs were collected and analyzed. There was a range in AE training; COG training modules were most common (79.7%). There was wide variability in AE ascertainment; only 51.2% use standardized approaches at their site. There was no standard AE tracking method; larger sites more commonly use spreadsheets (P = 0.002) and smaller sites more commonly use paper (P = 0.028). The greatest AE reporting challenges were differences between protocols (70%) and between AE definitions and documentation (53%). Half of the respondents endorsed 6 of 13 proposed tools for improving reporting including online AE reporting modules (75.3%), tip sheets for interpreting Common Terminology Criteria for Adverse Events definitions (67.5%), and standardized AE tracking forms (66.9%). Only half of the respondents reported that all colleagues at their site followed the same AE reporting practices, and there was no dominant AE tracking approach across the respondents.DiscussionThere is wide variability in AE reporting training and practices. Numerous challenges exist, including differences between trials, challenges in interpreting AE definitions, and engaging clinicians.ConclusionsRespondents are eager for additional central resources. These results provide a roadmap for areas of potential improvement.

Common bean ( L.) is the most important grain legume for human consumption and is a major nutrition source in the tropics. Because bean production is reduced by both abiotic and biotic constraints, current breeding efforts are focused on the development of improved varieties with tolerance to these stresses. We characterized materials from different breeding programs spanning three continents to understand their sequence diversity and advance the development of molecular breeding tools. For this, 37 varieties belonging to , (A. Gray), and L. were sequenced by whole-genome sequencing, identifying more than 40 million genomic variants. Evaluation of nuclear DNA content and analysis of copy number variation revealed important differences in genomic content not only between and the two other domesticated species, but also within , affecting hundreds of protein-coding genomic regions. A large number of inter-gene pool introgressions were identified. Furthermore, interspecific introgressions for disease resistance in breeding lines were mapped. Evaluation of newly developed single nucleotide polymorphism markers within previously discovered quantitative trait loci for common bacterial blight and angular leaf spot provides improved specificity to tag sources of resistance to these diseases. We expect that this dataset will provide a deeper molecular understanding of breeding germplasm and deliver molecular tools for germplasm development, aiming to increase the efficiency of bean breeding programs.

BackgroundPediatric oncology patients are at an increased risk of invasive bacterial infection due to immunosuppression. The risk of such infection in the absence of severe neutropenia (absolute neutrophil count ≥ 500/μL) is not well established and a validated prediction model for blood stream infection (BSI) risk offers clinical usefulness.MethodsA 6-site retrospective external validation was conducted using a previously published risk prediction model for BSI in febrile pediatric oncology patients without severe neutropenia: the Esbenshade/Vanderbilt (EsVan) model. A reduced model (EsVan2) excluding 2 less clinically reliable variables also was created using the initial EsVan model derivative cohort, and was validated using all 5 external validation cohorts. One data set was used only in sensitivity analyses due to missing some variables.ResultsFrom the 5 primary data sets, there were a total of 1197 febrile episodes and 76 episodes of bacteremia. The overall C statistic for predicting bacteremia was 0.695, with a calibration slope of 0.50 for the original model and a calibration slope of 1.0 when recalibration was applied to the model. The model performed better in predicting high-risk bacteremia (gram-negative or Staphylococcus aureus infection) versus BSI alone, with a C statistic of 0.801 and a calibration slope of 0.65. The EsVan2 model outperformed the EsVan model across data sets with a C statistic of 0.733 for predicting BSI and a C statistic of 0.841 for high-risk BSI.ConclusionsThe results of this external validation demonstrated that the EsVan and EsVan2 models are able to predict BSI across multiple performance sites and, once validated and implemented prospectively, could assist in decision making in clinical practice. Cancer 2017;123:3781-3790. © 2017 American Cancer Society.

Background: Pediatric Epstein‐Barr virus–negative monomorphic post solid organ transplant lymphoproliferative disorder [EBV(−)M‐PTLD] comprises approximately 10% of M‐PTLD. No large multi‐institutional pediatric‐specific reports on treatment and outcome are available. Methods: A multi‐institutional retrospective review of solid organ recipients diagnosed with EBV(−)M‐PTLD aged ≤21 years between 2001 and 2020 in 12 centers in the United States and United Kingdom was performed, including demographics, staging, treatment, and outcomes data. Results: Thirty‐six patients were identified with EBV(−)M‐PTLD. Twenty‐three (63.9%) were male. Median age (range) at transplantation, diagnosis of EBV(−)M‐PTLD, and interval from transplant to PTLD were 2.2 years (0.1–17), 14 years (3.0–20), and 8.5 years (0.6–18.3), respectively. Kidney (n = 17 [47.2%]) and heart (n = 13 [36.1%]) were the most commonly transplanted organs. Most were Murphy stage III (n = 25 [69.4%]). Lactate dehydrogenase was elevated in 22/34 (64.7%) and ≥2 times upper limit of normal in 11/34 (32.4%). Pathological diagnoses included diffuse large B‐cell lymphoma (n = 31 [86.1%]) and B–non‐Hodgkin lymphoma (B‐NHL) not otherwise specified (NOS) (n = 5 [13.9%]). Of nine different regimens used, the most common were: pediatric mature B–NHL‐specific regimen (n = 13 [36.1%]) and low‐dose cyclophosphamide, prednisone, and rituximab (n = 9 [25%]). Median follow‐up from diagnosis was 3.0 years (0.3–11.0 years). Three‐year event‐free survival (EFS) and overall survival (OS) were 64.8% and 79.9%, respectively. Of the seven deaths, six were from progressive disease. Conclusions: EFS and OS were comparable to pediatric EBV(+) PTLD, but inferior to mature B‐NHL in immunocompetent pediatric patients. The wide range of therapeutic regimens used directs our work toward developing an active multi‐institutional registry to design prospective studies. Plain Language Summary: Pediatric Epstein‐Barr virus–negative monomorphic post solid organ transplant lymphoproliferative disorders (EBV(−)M‐PTLD) have comparable outcomes to EBV(+) PTLD, but are inferior to diffuse large B‐cell lymphoma in immunocompetent pediatric patients.The variety of treatment regimens used highlights the need to develop a pediatric PTLD registry to prospectively evaluate outcomes.The impact of treatment regimen on relapse risk could not be assessed because of small numbers.In the intensive pediatric B–non‐Hodgkin lymphoma chemoimmunotherapy group, 11 of 13 patients remain alive in complete remission after 0.6 to 11 years. No consensus exists about treatment and outcomes of pediatric Epstein‐Barr virus–negative monomorphic post solid organ transplant lymphoproliferative disorder [EBV(−)M‐PTLD]. Retrospective evidence suggests that EBV(−)M‐PTLD has comparable outcomes to published results in EBV(+) PTLD, but inferior to diffuse large B‐cell lymphoma in immunocompetent pediatric patients. [ABSTRACT FROM AUTHOR]

Summary: Burkitt lymphoma arising in paediatric post‐solid‐organ transplantation‐Burkitt lymphoma (PSOT‐BL) is a clinically aggressive malignancy and a rare form of post‐transplant lymphoproliferative disorder (PTLD). We evaluated 35 patients diagnosed with PSOT‐BL at 14 paediatric medical centres in the United States. Median age at organ transplantation was 2.0 years (range: 0.1–14) and age at PSOT‐BL diagnosis was 8.0 years (range: 1–17). All but one patient had late onset of PSOT‐BL (≥2 years post‐transplant), with a median interval from transplant to PSOT‐BL diagnosis of 4.0 years (range: 0.4–12). Heart (n = 18 [51.4%]) and liver (n = 13 [37.1%]) were the most frequently transplanted organs. No patients had loss of graft or treatment‐related mortality. A variety of treatment regimens were used, led by intensive Burkitt lymphoma‐specific French–American–British/Lymphomes Malins B (FAB/LMB), n = 13 (37.1%), and a low‐intensity regimen consisting of cyclophosphamide, prednisone and rituximab (CPR) n = 12 (34.3%). Median follow‐up was 6.7 years (range: 0.5–17). Three‐year event‐free and overall survival were 66.2% and 88.0%, respectively. Outcomes of PSOT‐BL patients receiving BL‐specific intensive regimens are comparable to reported BL outcomes in immunocompetent children. Multi‐institutional collaboration is feasible and provides the basis of prospective data collection to determine the optimal treatment regimen for PSOT‐BL. [ABSTRACT FROM AUTHOR]

Disparities in care, treatment-related toxicity and health-related quality of life (HRQoL) for adolescents and young adults (AYAs, aged 15-39 years) with cancer are under-addressed partly because of limited collection of patient-reported outcomes (PROs) in cancer clinical trials (CCTs). The AYA years include key developmental milestones distinct from younger and older patients, and cancer interrupts attainment of critical life goals. Lack of consensus on a standardized approach to assess HRQoL and treatment-related toxicity in AYA CCTs has limited the ability to improve patient outcomes. The National Cancer Institute's Clinical Trials Network AYA PRO Task Force was assembled to reach consensus on a core set of PROs and foster its integration into AYA CCTs. Eight key considerations for selecting the core PRO AYA battery components were identified: relevance to AYAs; importance of constructs across the age continuum; prioritization of validated measures; availability of measures without licensing fees; availability in multiple languages; applicability to different cancer types and treatments; ability to measure different HRQoL domains and toxicities; and minimized burden on patients and sites. The Task Force used a modified Delphi approach to identify key components of the PRO battery. The Patient-Reported Outcomes Measurement Information System (PROMIS) and the PRO Common Terminology Criteria for Adverse Events Measurement System met all criteria and were selected to assess HRQoL and treatment toxicity, respectively. Investigators are rapidly incorporating the recommendations of the Task Force into AYA trials. Inclusion of a standardized assessment of HRQoL and treatment toxicities in AYA CCTs is a vital first step to develop interventions to improve health outcomes for AYAs diagnosed with cancer. [ABSTRACT FROM AUTHOR]