Background Advanced stage presentation of patients with is common in low- and middle-income countries (LMICs). A comprehensive analysis of existing delays and barriers in LMICs has not been previously reported. We conducted a systematic literature review to comprehensively outline delays and barriers to identify targets for future interventions and provide recommendations for future research in this field. Materials and Methods Multiple electronic databases were searched using a standardized search strategy. Eligible articles were of any language, from LMICs, and published between January 1, 2002, and November 27, 2017. Included studies reported cancer care intervals or barriers encountered. Intervals and associated barriers were summarized by cancer type and geographical region. Results This review included 316 study populations from 57 LMICs: 142 (44.9%) studies addressed time intervals, whereas 214 (67.7%) studies described barriers to cancer diagnosis. The median intervals were similar in the following three stages of early diagnosis: (a) access (1.2 months), (b) diagnostic (0.9 months), and (c) treatment (0.8 months). Studies from low-income countries had significantly longer access intervals (median, 6.5 months) compared with other country income groups. Patients with breast cancer had longer delay intervals than patients with childhood cancer. No significant variation existed between geographic regions. Low health literacy was reported most frequently in studies describing barriers to cancer diagnosis and was associated with lower education level, no formal employment, lower income, and rural residence. Conclusion Early diagnosis strategies should address barriers during all three intervals contributing to late presentation in LMICs. Standardization in studying and reporting delay intervals in LMICs is needed to monitor progress and facilitate comparisons across settings. Implications for Practice This review draws the attention of cancer implementation scientists globally. The findings highlight the significant delays that occur throughout the cancer care continuum in low- and middle-income countries and describe common barriers that cause them. This review will help shape the global research agenda by proposing metrics and implementation studies. By demonstrating the importance of standardized reporting metrics, this report sets forth additional research and evidence needed to inform cancer control policies.

Background Astroblastoma (ABM) is a rare glial brain tumor. Recurrent meningioma 1 (MN1) alterations have been recently identified in most pediatric cases. Adolescent and adult cases, however, remain molecularly poorly defined. Materials and Methods We performed clinical and molecular characterization of a retrospective cohort of 14 adult and 1 adolescent ABM. Results Strikingly, we found that MN1 fusions are a rare event in this age group (1/15). Using methylation profiling and targeted sequencing, most cases were reclassified as either pleomorphic xanthoastrocytomas (PXA)-like or high-grade glioma (HGG)-like. PXA-like ABM show BRAF mutation (6/7 with V600E mutation and 1/7 with G466E mutation) and CD34 expression. Conversely, HGG-like ABM harbored specific alterations of diffuse midline glioma (2/5) or glioblastoma (GBM; 3/5). These latter patients showed an unfavorable clinical course with significantly shorter overall survival ( p = .021). Mitogen-activated protein kinase pathway alterations (including FGFR fusion, BRAF and NF1 mutations) were present in 10 of 15 patients and overrepresented in the HGG-like group (3/5) compared with previously reported prevalence of these alterations in GBM and diffuse midline glioma. Conclusion We suggest that gliomas with astroblastic features include a variety of molecularly sharply defined entities. Adult ABM harboring molecular features of PXA and HGG should be reclassified. Central nervous system high-grade neuroepithelial tumors with MN1 alterations and histology of ABM appear to be uncommon in adults. Astroblastic morphology in adults should thus prompt thorough molecular investigation aiming at a clear histomolecular diagnosis and identifying actionable drug targets, especially in the mitogen-activated protein kinase pathway. Implications for Practice Astroblastoma (ABM) remains a poorly defined and controversial entity. Although meningioma 1 alterations seem to define a large subset of pediatric cases, adult cases remain molecularly poorly defined. This comprehensive molecular characterization of 1 adolescent and 14 adult ABM revealed that adult ABM histology comprises several molecularly defined entities, which explains clinical diversity and identifies actionable targets. Namely, pleomorphic xanthoastrocytoma-like ABM cases show a favorable prognosis whereas high-grade glioma (glioblastoma and diffuse midline gliome)-like ABM show significantly worse clinical courses. These results call for in-depth molecular analysis of adult gliomas with astroblastic features for diagnostic and therapeutic purposes.

An internist describes preparing to run a marathon in memory of her mother and the injury that prevented her from completing the race. Her perspective on this setback was shaped by her own loss and memories of patients whose lives were interrupted by cancer, reminding us that a cancer diagnosis comes without preparation and without choosing. While more cancer patients are surviving, there are still those whose life journeys end much too soon.

Introduction Understanding the efficacy of treatments is crucial for patients, physicians, and policymakers. Median survival, the most common measure used in the outcome reporting of oncology clinical trials, is easy to understand; however, it describes only a single time point. The interpretation of the hazard ratio is difficult, and its underlying statistical assumptions are not always met. The objective of this study was to evaluate alternative measures based on the mean benefit of novel oncology treatments. Materials and Methods We reviewed all U.S. Food and Drug Administration (FDA) approvals for oncology agents between 2013 and 2017. We digitized survival curves as reported in the clinical trials used for the FDA approvals and implemented statistical transformations to calculate for each trial the restricted mean survival time (RMST), as well as the mean survival using Weibull distribution. We compared the mean survival with the median survival benefit in each clinical trial. Results The FDA approved 83 solid tumor indications for oncology agents between 2013 and 2017, of which 27 approvals based on response rates, whereas 49 approvals were based on survival endpoints (progression-free survival and overall survival). The average improvement in median overall survival or progression-free survival was 4.6 months versus 3.6 months improvement in the average RMST and 6.1 months improvement in mean survival using Weibull distribution. Conclusion Mean survival may supply valuable information for different stakeholders. Its inclusion should be considered in the reporting of prospective clinical trials. Implications for Practice Mean survival may supply valuable information for different stakeholders. Its inclusion should be considered in the reporting of clinical trials.

Introduction To reduce health care costs and improve care, payers and physician groups are switching to quality-based and episodic or bundled-care models. Disease progression and associated costs may affect these models, particularly if such programs do not account for differences in disease severity and progression risk within the cohort. This study estimated the incremental cost of disease progression in patients diagnosed with chronic lymphoid leukemia (CLL), acute myeloid leukemia (AML), and non-Hodgkin's lymphoma (NHL) and compared costs among patients with and without progression. Methods This was a retrospective study using U.S. administrative claims data from commercial and Medicare Advantage health care enrollees with evidence of CLL, AML, and NHL and systemic antineoplastic agent use from July 1, 2006 to August 31, 2014. Outcome measures included disease progression, 12-month health care costs, and 3-year cumulative predictive health care costs. Results Of 1,056 patients with CLL, 514 patients with AML, and 7,601 patients with NHL, 31.1% of patients with CLL, 63.8% of those with AML, and 36.9% of those with NHL had evidence of disease progression. Among patients with CLL and NHL, adjusted and unadjusted health care costs were significantly higher among progressors versus nonprogressors. Per-patient-per-month costs, accounting for variable follow-up time, were almost twice as high among progressors versus nonprogressors in patients with CLL, AML, and NHL. In each of the three cancer types, the longer disease progression was delayed, the lower the health care costs. Conclusion Progression of CLL, AML, and NHL was associated with higher health care costs over a 12-month period. Delaying cancer progression resulted in a substantial cost reduction in patients with all three cancer types. Implications for Practice Data on the rates and incremental health care costs of disease progression in patients with hematologic malignancies are lacking. This study estimated the incremental costs of disease progression in patients diagnosed with chronic lymphocytic leukemia, acute myeloid leukemia, and non-Hodgkin's lymphoma and compared health care costs in patients with and without evidence of disease progression in a real-world population. The data obtained in this study will assist future studies in quantifying the cost impact of decreased progression rates and will inform payers and physician groups about setting rates for episode and bundled payment programs.

Background This study explores the incidence of patient-reported major toxicity—symptoms rated “moderate,” “severe,” or “very severe”—for chemotherapy regimens commonly used in early breast cancer. Patients and Methods Female patients aged 21 years or older completed a validated Patient-Reported Symptom Monitoring instrument and rated 17 symptoms throughout adjuvant or neoadjuvant chemotherapy. Fisher's exact tests compared differences in percentages in symptom ratings, and general linear regression was used to model the incidence of patient-reported major toxicity. Results In 152 patients, the mean age was 54 years (range, 24–77), and 112 (74%) were white; 51% received an anthracycline-based regimen. The proportion of patients rating fatigue, constipation, myalgia, diarrhea, nausea, peripheral neuropathy, and swelling of arms or legs as a major toxicity at any time during chemotherapy varied significantly among four chemotherapy regimens ( p < .05). The mean (SD) number of symptoms rated major toxicities was 6.3 (3.6) for anthracycline-based and 4.4 (3.5) for non-anthracycline-based regimens ( p = .001; possible range, 0–17 symptoms). Baseline higher body mass index ( p = .03), patient-reported Karnofsky performance status ≤80 ( p = .0003), and anthracycline-based regimens ( p = .0003) were associated with greater total number of symptoms rated major toxicities (alternative model: chemotherapy duration, p < .0001). Twenty-six percent of dose reductions (26 of 40), 75% of hospitalizations (15 of 20), and 94% of treatment discontinuations (15 of 16) were in anthracycline-based regimens. Conclusion Capturing multiple toxicity outcomes throughout chemotherapy enables oncologists and patients to understand the range of side effects as they discuss treatment efficacies. Continuous symptom monitoring may aid in the timely development of interventions that minimize toxicity and improve outcomes . Implications for Practice This study investigated patient-reported toxicities for 17 symptoms recorded prospectively during adjuvant and neoadjuvant chemotherapy regimens for early breast cancer. An analysis of four commonly used chemotherapy regimens identified significant differences among regimens in both individual symptoms and total number of symptoms rated moderate, severe, or very severe. Longer chemotherapy regimens, such as anthracycline-based regimens followed by paclitaxel, had higher proportions of symptoms rated major toxicities. The inclusion of patient perspectives on multiple toxicity outcomes at the same time at multiple time points during chemotherapy has the potential for improving patient-provider communication regarding symptom management, patient satisfaction, and long-term clinical outcomes.