Post-traumatic Secondary Complications Resembling Stroke Symptoms Following Axillofemoral Bypass Surgery: A Case Report.

Peripheral artery disease exerts a substantial toll on public health in the United States, straining healthcare resources. In challenging cases, the axillofemoral bypass graft had emerged as a cornerstone in managing this condition. Unforeseen events, such as trauma, can lead to a presentation mimicking stroke and thus exacerbating the complexity of the diagnostic process. Herein, we present the case of a 64-year-old male with complex peripheral artery disease who developed a pseudoaneurysm mimicking stroke symptoms following a traumatic incident post axillofemoral bypass graft surgery. This case underscores the critical importance of employing diverse diagnostic modalities to navigate the complex differential diagnosis of stroke-like symptoms in patients post-surgery.

Ongoing genome doubling promotes evolvability and immune dysregulation in ovarian cancer.

Whole-genome doubling (WGD) is a critical driver of tumor development and is linked to drug resistance and metastasis in solid malignancies. Here, we demonstrate that WGD is an ongoing mutational process in tumor evolution. Using single-cell whole-genome sequencing, we measured and modeled how WGD events are distributed across cellular populations within tumors and associated WGD dynamics with properties of genome diversification and phenotypic consequences of innate immunity. We studied WGD evolution in 65 high-grade serous ovarian cancer (HGSOC) tissue samples from 40 patients, yielding 29,481 tumor cell genomes. We found near-ubiquitous evidence of WGD as an ongoing mutational process promoting cell-cell diversity, high rates of chromosomal missegregation, and consequent micronucleation. Using a novel mutation-based WGD timing method, doubleTime , we delineated specific modes by which WGD can drive tumor evolution: (i) unitary evolutionary origin followed by significant diversification, (ii) independent WGD events on a pre-existing background of copy number diversity, and (iii) evolutionarily late clonal expansions of WGD populations. Additionally, through integrated single-cell RNA sequencing and high-resolution immunofluorescence microscopy, we found that inflammatory signaling and cGAS-STING pathway activation result from ongoing chromosomal instability and are restricted to tumors that remain predominantly diploid. This contrasted with predominantly WGD tumors, which exhibited significant quiescent and immunosuppressive phenotypic states. Together, these findings establish WGD as an evolutionarily 'active' mutational process that promotes evolvability and dysregulated immunity in late stage ovarian cancer.

Learning generalizable AI models for multi-center histopathology image classification.

Investigation of histopathology slides by pathologists is an indispensable component of the routine diagnosis of cancer. Artificial intelligence (AI) has the potential to enhance diagnostic accuracy, improve efficiency, and patient outcomes in clinical pathology. However, variations in tissue preparation, staining protocols, and histopathology slide digitization could result in over-fitting of deep learning models when trained on the data from only one center, thereby underscoring the necessity to generalize deep learning networks for multi-center use. Several techniques, including the use of grayscale images, color normalization techniques, and Adversarial Domain Adaptation (ADA) have been suggested to generalize deep learning algorithms, but there are limitations to their effectiveness and discriminability. Convolutional Neural Networks (CNNs) exhibit higher sensitivity to variations in the amplitude spectrum, whereas humans predominantly rely on phase-related components for object recognition. As such, we propose Adversarial fourIer-based Domain Adaptation (AIDA) which applies the advantages of a Fourier transform in adversarial domain adaptation. We conducted a comprehensive examination of subtype classification tasks in four cancers, incorporating cases from multiple medical centers. Specifically, the datasets included multi-center data for 1113 ovarian cancer cases, 247 pleural cancer cases, 422 bladder cancer cases, and 482 breast cancer cases. Our proposed approach significantly improved performance, achieving superior classification results in the target domain, surpassing the baseline, color augmentation and normalization techniques, and ADA. Furthermore, extensive pathologist reviews suggested that our proposed approach, AIDA, successfully identifies known histotype-specific features. This superior performance highlights AIDA's potential in addressing generalization challenges in deep learning models for multi-center histopathology datasets.

VOLTA: an enVironment-aware cOntrastive ceLl represenTation leArning for histopathology.

In clinical oncology, many diagnostic tasks rely on the identification of cells in histopathology images. While supervised machine learning techniques necessitate the need for labels, providing manual cell annotations is time-consuming. In this paper, we propose a self-supervised framework (enVironment-aware cOntrastive cell represenTation learning: VOLTA) for cell representation learning in histopathology images using a technique that accounts for the cell's mutual relationship with its environment. We subject our model to extensive experiments on data collected from multiple institutions comprising over 800,000 cells and six cancer types. To showcase the potential of our proposed framework, we apply VOLTA to ovarian and endometrial cancers and demonstrate that our cell representations can be utilized to identify the known histotypes of ovarian cancer and provide insights that link histopathology and molecular subtypes of endometrial cancer. Unlike supervised models, we provide a framework that can empower discoveries without any annotation data, even in situations where sample sizes are limited.

Health-care organization characteristics in cancer care delivery: an integrated conceptual framework with content validation.

Context can influence cancer-related outcomes. For example, health-care organization characteristics, including ownership, leadership, and culture, can affect care access, communication, and patient outcomes. Health-care organization characteristics and other contextual factors can also influence whether and how clinical discoveries reduce cancer incidence, morbidity, and mortality. Importantly, policy, market, and technology changes are transforming health-care organization design, culture, and operations across the cancer continuum. Consequently, research is essential to examine when, for whom, and how organizational characteristics influence person-level, organization-level, and population-level cancer outcomes. Understanding organizational characteristics-the structures, processes, and other features of entities involved in health care delivery-and their dynamics is an important yet understudied area of care delivery research across the cancer continuum. Research incorporating organizational characteristics is critical to address health inequities, test care delivery models, adapt interventions, and strengthen implementation. The field lacks conceptual grounding, however, to help researchers identify germane organizational characteristics. We propose a framework identifying organizational characteristics relevant for cancer care delivery research based on conceptual work in health services, organizational behavior, and management science and refined using a systematic review and key informant input. The proposed framework is a tool for organizing existing research and enhancing future cancer care delivery research. Following a 2012 Journal of the National Cancer Institute monograph, this work complements National Cancer Institute efforts to stimulate research addressing the relationship between cancer outcomes and contextual factors at the patient, provider, team, delivery organization, community, and health policy levels.

Ovarian cancer mutational processes drive site-specific immune evasion.

High-grade serous ovarian cancer (HGSOC) is an archetypal cancer of genomic instability1-4 patterned by distinct mutational processes5,6, tumour heterogeneity7-9 and intraperitoneal spread7,8,10. Immunotherapies have had limited efficacy in HGSOC11-13, highlighting an unmet need to assess how mutational processes and the anatomical sites of tumour foci determine the immunological states of the tumour microenvironment. Here we carried out an integrative analysis of whole-genome sequencing, single-cell RNA sequencing, digital histopathology and multiplexed immunofluorescence of 160 tumour sites from 42 treatment-naive patients with HGSOC. Homologous recombination-deficient HRD-Dup (BRCA1 mutant-like) and HRD-Del (BRCA2 mutant-like) tumours harboured inflammatory signalling and ongoing immunoediting, reflected in loss of HLA diversity and tumour infiltration with highly differentiated dysfunctional CD8+ T cells. By contrast, foldback-inversion-bearing tumours exhibited elevated immunosuppressive TGFß signalling and immune exclusion, with predominantly naive/stem-like and memory T cells. Phenotypic state associations were specific to anatomical sites, highlighting compositional, topological and functional differences between adnexal tumours and distal peritoneal foci. Our findings implicate anatomical sites and mutational processes as determinants of evolutionary phenotypic divergence and immune resistance mechanisms in HGSOC. Our study provides a multi-omic cellular phenotype data substrate from which to develop and interpret future personalized immunotherapeutic approaches and early detection research.

Single-cell genomic variation induced by mutational processes in cancer.

How cell-to-cell copy number alterations that underpin genomic instability1 in human cancers drive genomic and phenotypic variation, and consequently the evolution of cancer2, remains understudied. Here, by applying scaled single-cell whole-genome sequencing3 to wild-type, TP53-deficient and TP53-deficient;BRCA1-deficient or TP53-deficient;BRCA2-deficient mammary epithelial cells (13,818 genomes), and to primary triple-negative breast cancer (TNBC) and high-grade serous ovarian cancer (HGSC) cells (22,057 genomes), we identify three distinct 'foreground' mutational patterns that are defined by cell-to-cell structural variation. Cell- and clone-specific high-level amplifications, parallel haplotype-specific copy number alterations and copy number segment length variation (serrate structural variations) had measurable phenotypic and evolutionary consequences. In TNBC and HGSC, clone-specific high-level amplifications in known oncogenes were highly prevalent in tumours bearing fold-back inversions, relative to tumours with homologous recombination deficiency, and were associated with increased clone-to-clone phenotypic variation. Parallel haplotype-specific alterations were also commonly observed, leading to phylogenetic evolutionary diversity and clone-specific mono-allelic expression. Serrate variants were increased in tumours with fold-back inversions and were highly correlated with increased genomic diversity of cellular populations. Together, our findings show that cell-to-cell structural variation contributes to the origins of phenotypic and evolutionary diversity in TNBC and HGSC, and provide insight into the genomic and mutational states of individual cancer cells.

Deep learning-based histotype diagnosis of ovarian carcinoma whole-slide pathology images.

Ovarian carcinoma has the highest mortality of all female reproductive cancers and current treatment has become histotype-specific. Pathologists diagnose five common histotypes by microscopic examination, however, histotype determination is not straightforward, with only moderate interobserver agreement between general pathologists (Cohen's kappa 0.54-0.67). We hypothesized that machine learning (ML)-based image classification models may be able to recognize ovarian carcinoma histotype sufficiently well that they could aid pathologists in diagnosis. We trained four different artificial intelligence (AI) algorithms based on deep convolutional neural networks to automatically classify hematoxylin and eosin-stained whole slide images. Performance was assessed through cross-validation on the training set (948 slides corresponding to 485 patients), and on an independent test set of 60 patients from another institution. The best-performing model achieved a diagnostic concordance of 81.38% (Cohen's kappa of 0.7378) in our training set, and 80.97% concordance (Cohen's kappa 0.7547) on the external dataset. Eight cases misclassified by ML in the external set were reviewed by two subspecialty pathologists blinded to the diagnoses, molecular and immunophenotype data, and ML-based predictions. Interestingly, in 4 of 8 cases from the external dataset, the expert review pathologists rendered diagnoses, based on blind review of the whole section slides classified by AI, that were in agreement with AI rather than the integrated reference diagnosis. The performance characteristics of our classifiers indicate potential for improved diagnostic performance if used as an adjunct to conventional histopathology.

Realist Review of Care Models That Include Primary Care for Adult Childhood Cancer Survivors.

Appropriate models of survivorship care for the growing number of adult survivors of childhood cancer are unclear. We conducted a realist review to describe how models of care that include primary care and relevant resources (eg, tools, training) could be effective for adult survivors of childhood cancer. We first developed an initial program theory based on qualitative literature (studies, commentaries, opinion pieces) and stakeholder consultations. We then reviewed quantitative evidence and consulted stakeholders to refine the program theory and develop and refine context-mechanism-outcome hypotheses regarding how models of care that include primary care could be effective for adult survivors of childhood cancer. Effectiveness for both resources and models is defined by survivors living longer and feeling better through high-value care. Intermediate measures of effectiveness evaluate the extent to which survivors and providers understand the survivor's history, risks, symptoms and problems, health-care needs, and available resources. Thus, the models of care and resources are intended to provide information to survivors and/or primary care providers to enable them to obtain/deliver appropriate care. The variables from our program theory found most consistently in the literature include oncology vs primary care specialty, survivor and provider knowledge, provider comfort treating childhood cancer survivors, communication and coordination between and among providers and survivors, and delivery/receipt of prevention and surveillance of late effects. In turn, these variables were prominent in our context-mechanism-outcome hypotheses. The findings from this realist review can inform future research to improve childhood cancer survivorship care and outcomes.

Tumor-associated antigen PRAME exhibits dualistic functions that are targetable in diffuse large B cell lymphoma.

PRAME is a prominent member of the cancer testis antigen family of proteins, which triggers autologous T cell-mediated immune responses. Integrative genomic analysis in diffuse large B cell lymphoma (DLBCL) uncovered recurrent and highly focal deletions of 22q11.22, including the PRAME gene, which were associated with poor outcome. PRAME-deleted tumors showed cytotoxic T cell immune escape and were associated with cold tumor microenvironments. In addition, PRAME downmodulation was strongly associated with somatic EZH2 Y641 mutations in DLBCL. In turn, PRC2-regulated genes were repressed in isogenic PRAME-KO lymphoma cell lines, and PRAME was found to directly interact with EZH2 as a negative regulator. EZH2 inhibition with EPZ-6438 abrogated these extrinsic and intrinsic effects, leading to PRAME expression and microenvironment restoration in vivo. Our data highlight multiple functions of PRAME during lymphomagenesis and provide a preclinical rationale for synergistic therapies combining epigenetic reprogramming with PRAME-targeted therapies.

Implementation and Effectiveness of Integrating Palliative Care Into Ambulatory Care of Noncancer Serious Chronic Illness: Mixed Methods Review and Meta-Analysis.

PURPOSE: To perform a mixed methods review to evaluate the effectiveness and implementation of models for integrating palliative care into ambulatory care for US adults with noncancer serious chronic illness. METHODS: We searched 3 electronic databases from January 2000 to May 2020 and included qualitative, mixed methods studies and randomized and nonrandomized controlled trials. For each study, 2 reviewers abstracted data and independently assessed for quality. We conducted meta-analyses as appropriate and graded strength of evidence (SOE) for quantitative outcomes. RESULTS: Quantitative analysis included 14 studies of 2,934 patients. Compared to usual care, models evaluated were not more effective for improving patient health-related quality of life (HRQOL) (standardized mean difference [SMD] of 4 of 8 studies, 0.19; 95% CI, ‒0.03 to 0.41) (SOE: moderate) or for patient depressive symptom scores (SMD of 3 of 9 studies, ‒0.09; 95% CI, ‒0.35 to 0.16) (SOE: moderate). Models might have little to no effect on patient satisfaction (SOE: low) but were more effective for increasing advance directive (AD) documentation (relative risk, 1.62; 95% CI, 1.35 to 1.94) (SOE: moderate). Qualitative analysis included 5 studies of 146 patients. Patient preferences for appropriate timing of palliative care varied; costs, additional visits, and travel were considered barriers to implementation. CONCLUSION: Models might have little to no effect on decreasing overall symptom burden and were not more effective than usual care for improving HRQOL or depressive symptom scores but were more effective for increasing AD documentation. Additional research should focus on identifying and addressing characteristics and implementation factors critical to integrating models to improve ambulatory, patient-centered outcomes.

Patient-reported outcome measures in spine surgery: A systematic review.

Background: Steadily increasing expenditure in the United States health-care system has led to a shift toward a value-based model that focuses on quality of care and cost-effectiveness. Operations involving the spine rank among some of the most common and expensive procedures performed in operating rooms nationwide. Patient-reported outcomes measures (PROMs) are a useful tool for reporting levels of outcome and analyzing patient recovery but are both under-utilized and nonstandardized in spine surgery. Methods: We conducted a systematic review of the literature using the PubMed database, focusing on the most commonly utilized PROMs for spine disease as well as spinal deformity. The benefits and drawbacks of these PROMs were then summarized and compared. Results: Spine-specific PROMs were based on the class of disease. The most frequently utilized PROMs were the Neck Disability Index and the modified Japanese Orthopaedic Association scale; the Oswestry Disability Index and the Roland-Morris Disability Questionnaire; and the Scoliosis Research Society 22-item questionnaire (SRS-22) for cervicothoracic spine disease, lumbar spine disease, and spinal deformity, respectively. Conclusion: We found limited, though effective, use of PROMs targeting specific classes of disease within spine surgery. Therefore, we advocate for increased use of PROMs in spine surgery, in both the research and clinical settings. PROM usage can help physicians assess subjective outcomes in standard ways that can be compared across patients and institutions, more uniquely tailor treatment to individual patients, and engage patients in their own medical care.

The Effect of Neutropenia and Filgrastim (G-CSF) on Cancer Patients With Coronavirus Disease 2019 (COVID-19) Infection.

BACKGROUND: Neutropenia is commonly encountered in cancer patients. Recombinant human granulocyte colony-stimulating factor (G-CSF, filgrastim), a cytokine that initiates proliferation and differentiation of mature granulocytes, is widely given to oncology patients to counteract neutropenia, reducing susceptibility to infection. However, the clinical impact of neutropenia and G-CSF use in cancer patients with coronavirus disease 2019 (COVID-19) remains unknown. METHODS: An observational cohort of 379 actively treated cancer patients with COVID-19 was assembled to investigate links between concurrent neutropenia and G-CSF administration on COVID-19-associated respiratory failure and death. These factors were encoded as time-dependent predictors in an extended Cox model, controlling for age and underlying cancer diagnosis. To determine whether the degree of granulocyte response to G-CSF affected outcomes, the degree of response to G-CSF, based on rise in absolute neutrophil count (ANC) 24 hours after growth factor administration, was also incorporated into a similar Cox model. RESULTS: In the setting of active COVID-19 infection, outpatient receipt of G-CSF led to an increased number of hospitalizations (hazard ratio [HR]: 3.54, 95% confidence interval [CI]: 1.25-10.0, P value: .017). Furthermore, among inpatients, G-CSF administration was associated with increased need for high levels of oxygen supplementation and death (HR: 3.56, 95% CI: 1.19-10.2, P value: .024). This effect was predominantly seen in patients that exhibited a high response to G-CSF based on their ANC increase post-G-CSF administration (HR: 7.78, 95% CI: 2.05-27.9, P value: .004). CONCLUSIONS: The potential risks versus benefits of G-CSF administration should be considered in neutropenic cancer patients with COVID-19, because G-CSF administration may lead to worsening clinical and respiratory status.

Clonal fitness inferred from time-series modelling of single-cell cancer genomes.

Progress in defining genomic fitness landscapes in cancer, especially those defined by copy number alterations (CNAs), has been impeded by lack of time-series single-cell sampling of polyclonal populations and temporal statistical models1-7. Here we generated 42,000 genomes from multi-year time-series single-cell whole-genome sequencing of breast epithelium and primary triple-negative breast cancer (TNBC) patient-derived xenografts (PDXs), revealing the nature of CNA-defined clonal fitness dynamics induced by TP53 mutation and cisplatin chemotherapy. Using a new Wright-Fisher population genetics model8,9 to infer clonal fitness, we found that TP53 mutation alters the fitness landscape, reproducibly distributing fitness over a larger number of clones associated with distinct CNAs. Furthermore, in TNBC PDX models with mutated TP53, inferred fitness coefficients from CNA-based genotypes accurately forecast experimentally enforced clonal competition dynamics. Drug treatment in three long-term serially passaged TNBC PDXs resulted in cisplatin-resistant clones emerging from low-fitness phylogenetic lineages in the untreated setting. Conversely, high-fitness clones from treatment-naive controls were eradicated, signalling an inversion of the fitness landscape. Finally, upon release of drug, selection pressure dynamics were reversed, indicating a fitness cost of treatment resistance. Together, our findings define clonal fitness linked to both CNA and therapeutic resistance in polyclonal tumours.

Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning.

BACKGROUND: Accurately predicting outcomes for cancer patients with COVID-19 has been clinically challenging. Numerous clinical variables have been retrospectively associated with disease severity, but the predictive value of these variables, and how multiple variables interact to increase risk, remains unclear. METHODS: We used machine learning algorithms to predict COVID-19 severity in 348 cancer patients at Memorial Sloan Kettering Cancer Center in New York City. Using only clinical variables collected on or before a patient's COVID-19 positive date (time zero), we sought to classify patients into one of three possible future outcomes: Severe-early (the patient required high levels of oxygen support within 3 days of being tested positive for COVID-19), Severe-late (the patient required high levels of oxygen after 3 days), and Non-severe (the patient never required oxygen support). RESULTS: Our algorithm classified patients into these classes with an area under the receiver operating characteristic curve (AUROC) ranging from 70 to 85%, significantly outperforming prior methods and univariate analyses. Critically, classification accuracy is highest when using a potpourri of clinical variables - including basic patient information, pre-existing diagnoses, laboratory and radiological work, and underlying cancer type - suggesting that COVID-19 in cancer patients comes with numerous, combinatorial risk factors. CONCLUSIONS: Overall, we provide a computational tool that can identify high-risk patients early in their disease progression, which could aid in clinical decision-making and selecting treatment options.

Assessing quality of care in the diagnosis and treatment of early-stage testicular cancer: A critical review and summary.

OBJECTIVE: To review the current literature on quality of care in the diagnosis and management of early-stage testicular cancer. METHODS: PubMed, Embase, and the Cochrane Central Register of Controlled Trials were searched for studies on quality of care in testicular cancer diagnosis and management from January 1980 to August 2018. Major overlapping themes related to quality of care in the diagnosis and management of TGCT were identified and evidence related to these themes were abstracted. EVIDENCE: 62 studies were included in the review. A number of themes were identified including (1) trends in survival and outcomes, (2) management patterns, (3) adherence to evidence-based clinical guidelines, (4) delays in care, (5) treatment complications and toxicities, (6) sociodemographic factors, (7) volume of patients treated, (8) gaps in provider knowledge and medical errors, and (9) multidisciplinary approaches to care. EVIDENCE SUMMARY: As survival for patients with testicular cancer improves, there has been a greater emphasis on other components of quality of care, such as reducing treatment toxicity and minimizing delays in diagnosis. Efforts to meet these goals include encouragement of adherence to evidence-based guidelines, greater utilization of surveillance, and promotion of multidisciplinary team-based care. Although outcomes have improved, social determinants of health, such as insurance status, race, and geographical residence all may influence survival and cancer-related outcomes. Additionally, qualitative review indicates patients who receive care at high-volume institutions appear to experience better outcomes than those treated at smaller centers. CONCLUSIONS: As outcomes and survival improve for patients with testicular cancer, quality of care has become an important consideration. Future avenues of research on this topic include identifying an appropriate balance between centralization of care and expanding access to underserved areas, minimizing delays in care, ensuring greater adherence to clinical guidelines, and addressing sociodemographic and racial disparities in outcomes.

Advance Care Planning Shared Decision-Making Tools for Non-Cancer Chronic Serious Illness: A Mixed Method Systematic Review.

CONTEXT: Shared decision-making tools can facilitate advance care planning and goals of care conversations in non-cancer serious illness. More information on integrating these tools in ambulatory care could better support clinicians and patients/caregivers in these conversations. OBJECTIVES: We evaluated effectiveness and implementation of integrating palliative care shared decision-making tools into ambulatory care for U.S. adults with serious, life-threatening illness and their caregivers. DATA SOURCES: We searched PubMed, CINAHL, and the Cochrane Central Register of Controlled Trials (2000 - May 2020) for quantitative controlled, qualitative, and mixed-methods studies. REVIEW METHODS: Two reviewers screened articles, abstracted data, and independently assessed risk of bias or study quality. For quantitative trials, we graded strength of evidence for key outcomes: patient/caregiver satisfaction, depression or anxiety, concordance between patient preferences for care and care received, and healthcare utilization, including advance directive documentation. RESULTS: We included 6 quantitative effectiveness randomized, controlled trials and 5 qualitative implementation studies across primary care and specialty populations. Shared decision-making tools all addressed goals-of-care communication or advance care planning. Palliative care shared decision-making tools may be effective for improving patient satisfaction with communication and advance directive documentation. We were unable to draw conclusions about concordance between preferences and care received. Patients and caregivers preferred advance care planning discussions grounded in patient and caregiver experiences with individualized timing. CONCLUSIONS: For non-cancer serious illness, advance care planning shared decision-making tools may improve several outcomes. Future trials should evaluate concordance with care received and other health care utilization. KEY MESSAGE: This mixed-methods review concludes that when integrating palliative care into ambulatory care for serious illness and conditions other than cancer, advance care planning shared decision-making tools may improve patient satisfaction and advance directive documentation.

Pharmacologic Interventions for Breathlessness in Patients With Advanced Cancer: A Systematic Review and Meta-analysis.

Importance: Improved survival in patients with advanced cancer has increased the need for better understanding of how to manage common symptoms that they may experience, such as breathlessness. Objective: To assess the benefits and harms associated with pharmacologic interventions for breathlessness in adults with advanced cancer. Data Sources: PubMed, Embase, CINAHL, Web of Science, and the Cochrane Central Register of Controlled Trials were searched for studies published from database inception through May 31, 2020, using predefined eligibility criteria within a PICOTS (population, intervention, comparator, outcome, timing, setting) format. Study Selection: Randomized clinical trials (RCTs), non-RCTs, and observational studies with a comparison group that evaluated benefits and/or harms and cohort studies that reported harms were selected. Data Extraction and Synthesis: Two reviewers independently screened studies for eligibility, serially abstracted data, independently assessed risk of bias, and graded strength of evidence (SOE). Main Outcomes and Measures: Benefits and harms of pharmacologic interventions were compared, focusing on breathlessness, anxiety, exercise capacity, and health-related quality of life. When possible, meta-analyses were conducted and standardized mean differences (SMDs) calculated. Results: In this systematic review and meta-analysis, a total of 7729 unique citations were identified, of which 19 studies (17 RCTs and 2 retrospective studies) that included a total of 1424 patients assessed the benefits of medications for management of breathlessness in advanced cancer or reported harms. The most commonly reported type of cancer was lung cancer. Opioids were not associated with more effectiveness than placebo for improving breathlessness (SMD, -0.14; 95% CI, -0.47 to 0.18) or exercise capacity ( SMD, 0.06; 95% CI, -0.43 to 0.55) (SOE, moderate); most studies examined exertional breathlessness. Specific dose and/or route of administration of opioids did not differ in effectiveness for breathlessness (SMD, 0.15; 95% CI, -0.22 to 0.52) (SOE, low). Anxiolytics were not associated with more effectiveness than placebo for breathlessness or anxiety (reported mean between-group difference, -0.52; 95% CI, -1.045 to 0.005) (SOE, low). Evidence for other pharmacologic interventions was limited. Pharmacologic interventions demonstrated some harms compared with usual care, but dropout attributable to adverse events was minimal in these short-term studies (range 3.2%-16%). Conclusions and Relevance: Evidence did not support the association of opioids or other pharmacologic interventions with improved breathlessness. Given that studies had many limitations, pharmacologic interventions should be considered in selected patients but need to be considered in the context of potential harms and evidence of an association of nonpharmacologic interventions with improved breathlessness.

Nonpharmacological Interventions for Managing Breathlessness in Patients With Advanced Cancer: A Systematic Review.

IMPORTANCE: Breathlessness is a frequent and debilitating symptom in patients with advanced cancer. Often, in the context of breathlessness, aggressive cancer treatment is not beneficial, feasible, or aligned with goals of care. Targeted symptom-focused interventions may be helpful in this scenario. OBJECTIVE: To evaluate the advantages and harms of nonpharmacological interventions for managing breathlessness in adults with advanced cancer. EVIDENCE REVIEW: PubMed, Embase, CINAHL, Web of Science, and the Cochrane Central Register of Controlled Trials were searched from inception through May 2020 for published randomized clinical trials (RCTs), nonrandomized controlled trials, and observational studies of the advantages and/or harms of nonpharmacological interventions on alleviating breathlessness in adults with advanced cancer. Only English-language studies were screened for eligibility, titles, abstracts, and full text. Risk of bias and strength of evidence (SOE) were independently assessed. The key outcomes reported in studies were breathlessness, anxiety, exercise capacity, health-related quality of life, and harms. Data were analyzed from October 1, 2019, to June 30, 2020. FINDINGS: A total of 29 RCTs (2423 participants) were included. These RCTs evaluated various types of interventions, such as respiratory (9 RCTs), activity and rehabilitation (7 RCTs), behavioral and psychoeducational (3 RCTs), integrative medicine (4 RCTs), and multicomponent (6 RCTs). Several nonpharmacological interventions were associated with improved breathlessness, including fan therapy (standardized mean difference [SMD], -2.09; 95% CI, -3.81 to -0.37; I2 = 94.3%; P for heterogeneity = .02; moderate SOE) and bilevel ventilation (estimated slope difference, -0.58; 95% CI, -0.92 to -0.23; low SOE), lasting for a few minutes to hours, in the inpatient setting. In the outpatient setting, nonpharmacological interventions associated with improved breathlessness were acupressure and reflexology (integrative medicine) (low SOE) and multicomponent interventions (combined activity and rehabilitation, behavioral and psychoeducational, and integrative medicine) (low SOE) lasting for a few weeks to months. Five of the 29 RCTs (17%) reported adverse events, although adverse events and study dropouts were uncommon. CONCLUSIONS AND RELEVANCE: Findings of this review include the safety and association with improved breathlessness of several nonpharmacological interventions for adults with advanced cancer. Guidelines and clinical practice should evolve to incorporate nonpharmacological interventions as first-line treatment for adults with advanced cancer and breathlessness.

Comparative Effectiveness of Surveillance, Primary Chemotherapy, Radiotherapy and Retroperitoneal Lymph Node Dissection for the Management of Early Stage Testicular Germ Cell Tumors: A Systematic Review.

PURPOSE: Cancer specific survival for men with early stage (I to IIB) testicular germ cell tumors is greater than 90% with any management strategy. The data regarding the comparative effectiveness of surveillance, primary chemotherapy, radiotherapy and retroperitoneal lymph node dissection were synthesized with a focus on oncologic outcomes, patient reported outcomes, and short and long-term toxicities. MATERIALS AND METHODS: PubMed®, Embase® and the Cochrane Central Register of Controlled Trials were searched from 1980 to 2018 for studies addressing the effectiveness of surveillance, chemotherapy, radiotherapy and retroperitoneal lymph node dissection, according to pathology and clinical stage, for men with an early stage testicular germ cell tumor. RESULTS: Cancer specific survival ranged from 94% to 100% for patients with early stage testicular germ cell tumors regardless of tumor histology and initial management strategy. For men with seminoma the median cancer specific survival was 99.7% (range 97% to 100%), 99.5% (96.8% to 100%) and 100% (100% to 100%) among those managed by surveillance, radiotherapy and chemotherapy, respectively. Median cancer specific survival for men with nonseminomatous testicular germ cell tumors was 100% (range 98.6% to 100%), 100% (96.9% to 100%) and 100% (94% to 100%) when managed by surveillance, retroperitoneal lymph node dissection and chemotherapy, respectively. Recurrence rates and toxicities varied by management strategy. For men with seminoma surveillance, chemotherapy and radiotherapy were associated with median recurrence rates of 15%, 2% and 3.7%, respectively. For men with nonseminomatous testicular germ cell tumors the median recurrence rates were 20.5%, 3.3% and 11.1% for surveillance, chemotherapy and retroperitoneal lymph node dissection, respectively. Surveillance was associated with minimal toxicities compared to other approaches. Primary chemotherapy had the highest rate of short-term toxicities and was associated with long-term risks of metabolic syndrome, hypogonadism, renal impairment, neuropathy, infertility and secondary malignancies. Toxicities with radiotherapy included acute dermatitis and long-term gastrointestinal complications, infertility and high rates of secondary malignancies (2% to 3%). Patients undergoing retroperitoneal lymph node dissection had significant risk of toxicity perioperatively and long-term infertility in men with anejaculation. Transient detriments in patient reported outcomes and quality of life were noted with all management options. CONCLUSIONS: Men with early stage testicular germ cell tumors experience excellent cancer specific survival regardless of management strategy. Management options, however, differ in terms of associated recurrence rates, short and long-term toxicities, and patient reported outcomes. The profile for each approach should be clearly communicated to patients and matched with patient preferences to offer the best individual outcome.