Follow the trail: Using insights from the growth of palliative care to propose a roadmap for cancer rehabilitation.

Despite research explicating the benefits of cancer rehabilitation interventions to optimize physical, social, emotional, and vocational functioning, many reports document low rates of referral to and uptake of rehabilitation in oncology. Cancer rehabilitation clinicians, researchers, and policy makers could learn from the multidisciplinary specialty of palliative care, which has benefited from a growth strategy and has garnered national recognition as an important and necessary aspect of oncology care. The purpose of this article is to explore the actions that have increased the uptake and integration of palliative care to yield insights and multimodal strategies for the development and growth of cancer rehabilitation. After examining the history of palliative care and its growth, the authors highlight 5 key strategies that may benefit the field of cancer rehabilitation: 1) stimulating the science in specific gap areas; 2) creating clinical practice guidelines; 3) building clinical capacity; 4) ascertaining and responding to public opinion; and 5) advocating for public policy change. Coordinated and simultaneous advances on these 5 strategies may catalyze the growth, utilization, and effectiveness of patient screening, timely referrals, and delivery of appropriate cancer rehabilitation care that reduces disability and improves quality of life for cancer survivors who need these services.

Single Cell Analysis of Proteoforms.

We introduce single cell Proteoform imaging Mass Spectrometry (scPiMS), which realizes the benefit of direct solvent extraction and MS detection of intact proteins from single cells dropcast onto glass slides. Sampling and detection of whole proteoforms by individual ion mass spectrometry enable a scalable approach to single cell proteomics. This new scPiMS platform addresses the throughput bottleneck in single cell proteomics and boosts the cell processing rate by several fold while accessing protein composition with higher coverage.

Identification of patient subgroups who benefit from a behavioral intervention to improve adjuvant endocrine therapy adherence: a randomized-controlled trial.

PURPOSE: Adjuvant endocrine therapy (AET) reduces breast cancer morbidity and mortality; however, adherence is suboptimal. Interventions exist, yet few have improved adherence. Patient characteristics may alter uptake of an intervention to boost adherence. We examined moderators of the effect of a virtual intervention (STRIDE; #NCT03837496) on AET adherence after breast cancer. METHODS: At a large academic medical center, patients taking AET (N = 100; Mage = 56.1, 91% White) were randomized to receive STRIDE versus medication monitoring. All stored their medication in digital pill bottles (MEMS Caps) which captured objective adherence. Participants self-reported adherence (Medication Adherence Report Scale) at 12 weeks post-baseline. Moderators included age, anxiety, and depressive symptoms (Hospital Anxiety and Depression Scale), AET-related symptom distress (Breast Cancer Prevention Trial Symptom Scale), and AET-specific concerns (Beliefs about Medications Questionnaire). We used hierarchical linear modeling (time × condition × moderator) and multiple regression (condition × moderator) to test the interaction effects on adherence. RESULTS: Age (B = 0.05, SE = 0.02, p = 0.003) and AET-related symptom distress (B = -0.04, SE = 0.02, p = 0.02) moderated condition effect on self-reported adherence while anxiety (B = -1.20, SE = 0.53, p = 0.03) and depressive symptoms (B = -1.65, SE = 0.65, p = 0.01) moderated objective adherence effects. AET-specific concerns approached significance (B = 0.91, SE = 0.57, p = 0.12). Participants who received STRIDE and were older or presented with lower anxiety and depressive symptoms or AET-related symptom distress exhibited improved adherence. Post hoc analyses revealed high correlations among most moderators. CONCLUSIONS: A subgroup of patients who received STRIDE exhibited improvements in AET adherence. The interrelatedness of moderators suggests an underlying profile of patients with lower symptom burden who benefitted most from the intervention. STUDY REGISTRATION: NCT03837496.

Group Coping Intervention in Patients With Chronic Graft-Versus-Host Disease: A Pilot Randomized Clinical Trial.

BACKGROUND: More than half the long-term survivors of allogeneic hematopoietic cell transplantation develop chronic graft-versus-host disease (GVHD), a debilitating inflammatory syndrome. Supportive interventions to assist survivors in coping with chronic GVHD are critically needed. PATIENTS AND METHODS: We conducted a pilot randomized clinical trial of a multidisciplinary group intervention (Horizons Program; n=39) versus minimally enhanced usual care (n=41) for patients with moderate or severe chronic GVHD. Horizons participants received 8 weekly sessions about GVHD and coping co-led by a transplant clinician and a behavioral health expert via a secure videoconferencing platform. Participants completed the following surveys before randomization, at 10 weeks, and at 18 weeks: Functional Assessment of Cancer Therapy-Bone Marrow Transplant Scale (FACT-BMT) for quality of life (QoL), Lee Symptom Scale for symptom burden, and Hospital Anxiety and Depression Scale-Depression Symptoms (HADS) for mood. The primary endpoint was feasibility (≥50% enrollment, ≥80% attendance in half the sessions for the Horizons arm only, and ≥80% retention). We also explored preliminary efficacy of the Horizons intervention on changes in patient-reported outcomes with linear mixed effects models and estimates of effect size at 10 weeks. RESULTS: We enrolled and registered 80 (67.2%) of 119 eligible patients (mean age, 62 years; 48.8% female). Of the participants in the Horizons Program, 84.6% attended at least half the sessions. Of registered participants, 91.3% completed assessment follow-ups (Horizons, 35/39 [89.7%]; minimally enhanced usual care, 38/41 [92.7%]). Horizons participants reported improvements in QoL (b = 2.24; d=0.53), anxiety symptoms (b = -0.10; d=0.34), and depression symptoms (b = -0.71; d=0.44) compared with participants who received minimally enhanced usual care. CONCLUSIONS: Participation in a multidisciplinary group intervention study was feasible for patients with chronic GVHD, with promising signals for improving QoL and mood. A full-scale efficacy trial is needed to confirm effects on patient-reported outcomes.

Stepped Palliative Care for Patients With Advanced Lung Cancer: A Randomized Clinical Trial.

Importance: Despite the evidence for early palliative care improving outcomes, it has not been widely implemented in part due to palliative care workforce limitations. Objective: To evaluate a stepped-care model to deliver less resource-intensive and more patient-centered palliative care for patients with advanced cancer. Design, Setting, and Participants: Randomized, nonblinded, noninferiority trial of stepped vs early palliative care conducted between February 12, 2018, and December 15, 2022, at 3 academic medical centers in Boston, Massachusetts, Philadelphia, Pennsylvania, and Durham, North Carolina, among 507 patients who had been diagnosed with advanced lung cancer within the past 12 weeks. Intervention: Step 1 of the intervention was an initial palliative care visit within 4 weeks of enrollment and subsequent visits only at the time of a change in cancer treatment or after a hospitalization. During step 1, patients completed a measure of quality of life (QOL; Functional Assessment of Cancer Therapy-Lung [FACT-L]; range, 0-136, with higher scores indicating better QOL) every 6 weeks, and those with a 10-point or greater decrease from baseline were stepped up to meet with the palliative care clinician every 4 weeks (intervention step 2). Patients assigned to early palliative care had palliative care visits every 4 weeks after enrollment. Main Outcomes and Measures: Noninferiority (margin = -4.5) of the effect of stepped vs early palliative care on patient-reported QOL on the FACT-L at week 24. Results: The sample (n = 507) mostly included patients with advanced non-small cell lung cancer (78.3%; mean age, 66.5 years; 51.4% female; 84.6% White). The mean number of palliative care visits by week 24 was 2.4 for stepped palliative care and 4.7 for early palliative care (adjusted mean difference, -2.3; P < .001). FACT-L scores at week 24 for the stepped palliative care group were noninferior to scores among those receiving early palliative care (adjusted FACT-L mean score, 100.6 vs 97.8, respectively; difference, 2.9; lower 1-sided 95% confidence limit, -0.1; P < .001 for noninferiority). Although the rate of end-of-life care communication was also noninferior between groups, noninferiority was not demonstrated for days in hospice (adjusted mean, 19.5 with stepped palliative care vs 34.6 with early palliative care; P = .91). Conclusions and Relevance: A stepped-care model, with palliative care visits occurring only at key points in patients' cancer trajectories and using a decrement in QOL to trigger more intensive palliative care exposure, resulted in fewer palliative care visits without diminishing the benefits for patients' QOL. While stepped palliative care was associated with fewer days in hospice, it is a more scalable way to deliver early palliative care to enhance patient-reported outcomes. Trial Registration: ClinicalTrials.gov Identifier: NCT03337399.

Orbitrap Mass Spectrometry and High-Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS) Enable the in-Depth Analysis of Human Serum Proteoforms.

Blood serum and plasma are arguably the most commonly analyzed clinical samples, with dozens of proteins serving as validated biomarkers for various human diseases. Top-down proteomics may provide additional insights into disease etiopathogenesis since this approach focuses on protein forms, or proteoforms, originally circulating in blood, potentially providing access to information about relevant post-translational modifications, truncations, single amino acid substitutions, and many other sources of protein variation. However, the vast majority of proteomic studies on serum and plasma are carried out using peptide-centric, bottom-up approaches that cannot recapitulate the original proteoform content of samples. Clinical laboratories have been slow to adopt top-down analysis, also due to higher sample handling requirements. In this study, we describe a straightforward protocol for intact proteoform sample preparation based on the depletion of albumin and immunoglobulins, followed by simplified protein fractionation via polyacrylamide gel electrophoresis. After molecular weight-based fractionation, we supplemented the traditional liquid chromatography-tandem mass spectrometry (LC-MS2) data acquisition with high-field asymmetric waveform ion mobility spectrometry (FAIMS) to further simplify serum proteoform mixtures. This LC-FAIMS-MS2 method led to the identification of over 1000 serum proteoforms < 30 kDa, outperforming traditional LC-MS2 data acquisition and more than doubling the number of proteoforms identified in previous studies.

Psychological mobile app for patients with acute myeloid leukemia: A pilot randomized clinical trial.

BACKGROUND: Patients with acute myeloid leukemia (AML) experience a substantial decline in quality of life (QoL) and mood during their hospitalization for intensive chemotherapy, yet few interventions have been developed to enhance patient-reported outcomes during treatment. METHODS: We conducted a pilot randomized trial (ClinicalTrials.gov identifier NCT03372291) of DREAMLAND, a psychological mobile application for patients with a new diagnosis of AML who are receiving intensive chemotherapy. Patients were randomly assigned to DREAMLAND or usual care. DREAMLAND included four required modules focused on: (1) supportive psychotherapy to help patients deal with the initial shock of diagnosis, (2) psychoeducation to manage illness expectations, (3) psychosocial skill-building to promote effective coping, and (4) self-care. The primary end point was feasibility, which was defined as ≥60% of eligible patients enrolling and 60% of those enrolled completing ≥60% of the required modules. We assessed patient QoL (the Functional Assessment of Cancer Therapy-Leukemia), psychological distress (the Hospital Anxiety and Depression Scale and the Patient Health Questionnaire-9), symptom burden (the Edmonton Symptom Assessment Scale), and self-efficacy (the Cancer Self-Efficacy Scale) at baseline and at day 20 after postchemotherapy. RESULTS: We enrolled 60 of 90 eligible patients (66.7%), and 62.1% completed ≥75% of the intervention modules. At day 20 after chemotherapy, patients who were randomized to DREAMLAND reported improved QoL scores (132.06 vs. 110.72; p =.001), lower anxiety symptoms (3.54 vs. 5.64; p = .010) and depression symptoms (Hospital Anxiety and Depression Scale: 4.76 vs. 6.29; p = .121; Patient Health Questionnaire-9: 4.62 vs. 8.35; p < .001), and improved symptom burden (24.89 vs. 40.60; p = .007) and self-efficacy (151.84 vs. 135.43; p = .004) compared with the usual care group. CONCLUSIONS: A psychological mobile application for patients with newly diagnosed AML is feasible to integrate during hospitalization for intensive chemotherapy and may improve QoL, mood, symptom burden, and self-efficacy.

Advancing Intact Protein Quantitation with Updated Deconvolution Routines.

Analysis of intact proteins by mass spectrometry enables direct quantitation of the specific proteoforms present in a sample and is an increasingly important tool for biopharmaceutical and academic research. Interpreting and quantifying intact protein species from mass spectra typically involves many challenges including mass deconvolution and peak processing as well as determining optimal spectral averaging parameters and matching masses to theoretical proteoforms. Each of these steps can present informatic hurdles, as parameters often need to be tailored specifically to the data sets. To reduce intact mass deconvolution data analysis burdens, we built upon the widely used "sliding window" mass deconvolution technique with several additional concepts. First, we found that how spectra are averaged and the overlap in spectral windows can be tuned to favor either sensitivity or speed. A multiple window averaging approach was found to be the most effective way to increase mass detection and yielded a >2-fold increase in the number of masses detected. We also developed a targeted feature-finding routine that boosted sensitivity by >2-fold, decreased coefficient of variation across replicates by 50%, and increased the quality of mass elution profiles through 3-fold more detected time points. Lastly, we furthered existing approaches for annotating detected masses with potential proteoforms through spectral fitting for possible proteoform family modifications and network viewing. These proteoform annotation approaches ultimately produced a more accurate way of finding related, but previously unknown proteoforms from intact mass-only data. Together, these quantitation workflow improvements advance the information obtainable from intact protein mass spectrometry analyses.

Improved Label-Free Quantification of Intact Proteoforms Using Field Asymmetric Ion Mobility Spectrometry.

The high-throughput quantification of intact proteoforms using a label-free approach is typically performed on proteins in the 0-30 kDa mass range extracted from whole cell or tissue lysates. Unfortunately, even when high-resolution separation of proteoforms is achieved by either high-performance liquid chromatography or capillary electrophoresis, the number of proteoforms that can be identified and quantified is inevitably limited by the inherent sample complexity. Here, we benchmark label-free quantification of proteoforms of Escherichia coli by applying gas-phase fractionation (GPF) via field asymmetric ion mobility spectrometry (FAIMS). Recent advances in Orbitrap instrumentation have enabled the acquisition of high-quality intact and fragmentation mass spectra without the need for averaging time-domain transients prior to Fourier transform. The resulting speed improvements allowed for the application of multiple FAIMS compensation voltages in the same liquid chromatography-tandem mass spectrometry experiment without increasing the overall data acquisition cycle. As a result, the application of FAIMS to label-free quantification based on intact mass spectra substantially increases the number of both identified and quantified proteoforms without penalizing quantification accuracy in comparison to traditional label-free experiments that do not adopt GPF.

Perceptions of prognosis and end-of-life care outcomes in patients with advanced lung and gastrointestinal cancer.

BACKGROUND: Many patients with advanced cancer have misperceptions of their prognosis, which may impact end-of-life decision-making. Data regarding associations between prognostic perceptions over time and end-of-life care outcomes are lacking. AIM: To describe patients' perceptions of their prognosis with advanced cancer and examine associations between these perceptions and end-of-life care outcomes. DESIGN: Secondary analysis of longitudinal data from a randomized controlled trial of a palliative care intervention for patients with newly diagnosed incurable cancer. SETTING/PARTICIPANTS: Conducted at an outpatient cancer center in the northeastern United States and patients were within 8 weeks of a diagnosis with incurable lung or non-colorectal gastrointestinal cancer. RESULTS: We enrolled 350 patients in the parent trial, of which 80.5% (281/350) died during the study period. Overall, 59.4% (164/276) of patients reported they were terminally ill, and 66.1% (154/233) reported that their cancer was likely curable at the assessment closest to death. Patient acknowledgment of terminal illness was only associated with lower risk of hospitalizations in the last 30 days of life (OR = 0.52, p = 0.025). Patients who reported their cancer as likely curable were less likely to utilize hospice (OR = 0.25, p = 0.002) or die at home (OR = 0.56, p = 0.043), and they were more likely to be hospitalized in the last 30 days of life (OR = 2.28, p = 0.011). CONCLUSIONS: Patients' perceptions of their prognosis are associated with important end-of-life care outcomes. Interventions are needed to enhance patients' perceptions of their prognosis and optimize their end-of-life care.

Evaluation of an intensive workshop on research methods in supportive oncology.

OBJECTIVES: Since 2015, the Harvard Workshop on Research Methods in Supportive Oncology has trained early-career investigators in skills to develop rigorous studies in supportive oncology. This study examines workshop evaluations over time in the context of two factors: longitudinal participant feedback and a switch from in-person to virtual format during the COVID pandemic. METHODS: We examined post-workshop evaluations for participants who attended the workshop from 2015 to 2021. We qualitatively analyzed evaluation free text responses on ways in which the workshop could be improved and "other comments." Potential areas of improvement were categorized and frequencies were compiled longitudinally. Differences in participants' ratings of the workshop and demographics between in-person and virtual formats were investigated with t-tests and Chi-square tests, respectively. RESULTS: 286 participants attended the workshop over 8 years. Participant ratings of the workshop remained consistently high without substantial variation across all years. Three main themes emerged from the "other comments" item: (1) sense of community; (2) passion and empowerment; and (3) value of protected time. Participants appeared to identify fewer areas for improvement over time. There were no significant differences in participant ratings or demographics between the in-person and virtual formats. SIGNIFINACE OF RESULTS: While the workshop has experienced changes over time, participant evaluations varied little. The core content and structure might have the greatest influence on participants' experiences.

ProSight Annotator: Complete control and customization of protein entries in UniProt XML files.

The effectiveness of any proteomics database search depends on the theoretical candidate information contained in the protein database. Unfortunately, candidate entries from protein databases such as UniProt rarely contain all the post-translational modifications (PTMs), disulfide bonds, or endogenous cleavages of interest to researchers. These omissions can limit discovery of novel and biologically important proteoforms. Conversely, searching for a specific proteoform becomes a computationally difficult task for heavily modified proteins. Both situations require updates to the database through user-annotated entries. Unfortunately, manually creating properly formatted UniProt Extensible Markup Language (XML) files is tedious and prone to errors. ProSight Annotator solves these issues by providing a graphical interface for adding user-defined features to UniProt-formatted XML files for better informed proteoform searches. It can be downloaded from http://prosightannotator.northwestern.edu.

Prognostic communication about lung cancer in the precision oncology era: A multiple-perspective qualitative study.

BACKGROUND: Although most patients with cancer prefer to know their prognosis, prognostic communication between oncologists and patients is often insufficient. Targeted therapies for lung cancer improve survival yet are not curative and produce variable responses. This study sought to describe how oncologists communicate about prognosis with patients receiving targeted therapies for lung cancer. METHODS: This qualitative study included 39 patients with advanced lung cancer with targetable mutations, 14 caregivers, and 10 oncologists. Semistructured interviews with patients and caregivers and focus groups or interviews with oncologists were conducted to explore their experiences with prognostic communication. One oncology follow-up visit was audio-recorded per patient. A framework approach was used to analyze interview transcripts, and a content analysis of patient-oncologist dialogue was conducted. Themes were identified within each source and then integrated across sources to create a multidimensional description of prognostic communication. RESULTS: Six themes in prognostic communication were identified: Patients with targetable mutations develop a distinct identity in the lung cancer community that affects their information-seeking and self-advocacy; oncologists set high expectations for targeted therapy; the uncertain availability of new therapies complicates prognostic discussions; patients and caregivers have variable information preferences; patients raise questions about progression by asking about physical symptoms or scan results; and patients' expectations of targeted therapy influence their medical decision-making. CONCLUSIONS: Optimistic patient-oncologist communication shapes the expectations of patients receiving targeted therapy for lung cancer and affects their decision-making. Further research and clinical guidance are needed to help oncologists to communicate uncertain outcomes effectively.

A telehealth intervention for symptom management, distress, and adherence to adjuvant endocrine therapy: A randomized controlled trial.

BACKGROUND: Patients taking adjuvant endocrine therapy (AET) after breast cancer face adherence challenges and symptom-related distress. We conducted a randomized trial to evaluate the feasibility, acceptability, and preliminary efficacy of a telehealth intervention (Symptom-Targeted Randomized Intervention for Distress and Adherence to Adjuvant Endocrine Therapy [STRIDE]) for patients taking AET. METHODS: From October 2019 to June 2021, 100 patients reporting difficulty with AET were randomly assigned to either STRIDE or a medication monitoring (MedMon) control group. STRIDE included six weekly small-group videoconferencing sessions and two individual calls. We defined feasibility as having >50% of eligible patients enroll, >70% complete the 12-week assessment, and > 70% of STRIDE patients complete ≥4/6 sessions. We monitored adherence with the Medication Event Monitoring System Caps (MEMS Caps). At baseline and 12- and 24-weeks after baseline, patients self-reported adherence (Medication Adherence Report Scale), AET satisfaction (Cancer Therapy Satisfaction Questionnaire), symptom distress (Breast Cancer Prevention Trial-Symptom Checklist), self-management of symptoms (Self-efficacy for Symptom Management-AET), coping (Measure of Current Status), quality of life (QOL; Functional Assessment of Cancer Therapy-Breast), and mood (Hospital Anxiety and Depression Scale). We used linear mixed effects models to assess the effect of STRIDE on longitudinal outcomes. RESULTS: We enrolled 70.9% (100/141) of eligible patients; 92% completed the 12-week assessment, and 86% completed ≥4/6 STRIDE sessions. Compared with MedMon, STRIDE patients reported less symptom distress (B[difference] = -1.91; 95% CI, -3.29 to -0.52; p = .007) and better self-management of AET symptoms, coping, QOL, and mood. We did not observe significant differences in AET satisfaction or adherence. CONCLUSIONS: STRIDE is feasible and acceptable, showing promise for improving outcomes in patients taking AET after breast cancer. LAY SUMMARY: Patients taking adjuvant endocrine therapy (AET) after breast cancer may face challenges while following their treatment regimen. In this randomized controlled trial of 100 patients taking AET, a brief, small-group virtual intervention (STRIDE) was well-received by patients and led to improvements in how upset patients were due to symptoms, how confident they were in managing symptoms, and how well they could cope with stress. Thus, STRIDE is a promising intervention and should be tested in future multi-site trials.

Supportive oncology care at home interventions: protocols for clinical trials to shift the paradigm of care for patients with cancer.

BACKGROUND: Patients with cancer often endure substantial symptoms and treatment toxicities leading to high healthcare utilization, including hospitalizations and emergency department visits, throughout the continuum of their illness. Innovative oncology care models are needed to improve patient outcomes and reduce their healthcare utilization. Using a novel hospital at home care platform, we developed a Supportive Oncology Care at Home intervention to address the needs of patients with cancer. METHODS: We are conducting three trials to delineate the role of Supportive Oncology Care at Home for patients with cancer. The Supportive Oncology Care at Home intervention includes: (1) a hospital at home care model for symptom assessment and management; (2) remote monitoring of daily patient-reported symptoms, vital signs, and body weight; and (3) structured communication with the oncology team. Our first study is a randomized controlled trial to test the efficacy of Supportive Oncology Care at Home versus standard oncology care for improving healthcare utilization, cancer treatment interruptions, and patient-reported outcomes in patients with cancer receiving definitive treatment of their cancer. Participants include adult patients with gastrointestinal and head and neck cancer, as well as lymphoma, receiving definitive treatment (e.g., treatment with curative intent). The second study is a single-arm trial assessing the feasibility and acceptability of the Supportive Oncology Care at Home intervention for hospitalized patients with advanced cancer. Eligible participants include adult patients with incurable cancer who are admitted with an unplanned hospitalization. The third study is a single-arm trial assessing the feasibility and acceptability of the Supportive Oncology Care at Home intervention to enhance the end-of-life care for patients with advanced hematologic malignancies. Eligible participants include adult patients with relapsed or refractory hematologic malignancy receiving palliative therapy or supportive care alone. DISCUSSION: These studies are approved by the Dana-Farber/Harvard Cancer Center Institutional Review Board and are being conducted in accordance with the Consolidated Standards of Reporting Trials statement for non-pharmacological trials. This work has the potential to transform the paradigm of care for patients with cancer by providing them with the necessary support at home to improve their health outcomes and care delivery. TRIAL REGISTRATIONS: NCT04544046, NCT04637035, NCT04690205.

Representation and Outcomes of Older Adults in Practice-Changing Oncology Trials in the Era of Novel Therapies: A Guideline Appraisal.

BACKGROUND: Older adults account for 70% of cancer-related deaths, but previous studies have shown that they are underrepresented in cancer clinical trials. We sought to analyze the representation and outcomes of older adults in trials conducted in the era of novel targeted therapy and immunotherapy. METHODS: We searched the 2020 NCCN Clinical Practice Guidelines in Oncology and retrieved trials from the past 10 years leading to category 1 recommendations in the first-line metastatic setting for the 5 most common causes of cancer death. We categorized trials by cancer type, single-agent versus multiagent approach, and therapeutic class. We described the percentage of older adults (according to each trial's definition) and used a Mantel-Haenszel random-effects meta-analysis model to compare overall and progression-free survival by age. RESULTS: We identified 30 trials consisting of 24,416 patients. Across all trials, 44% of enrolled patients were older adults. Representation of older adults by cancer type within trials was 49% prostate cancer, 38% pancreatic cancer, 37% breast cancer, and 34% non-small cell lung cancer. Representation of older adults also varied by therapeutic class: 20% received immunotherapy, 44% received cytotoxic chemotherapy, 54% received targeted/hormonal therapy, and 34% received combination therapy (P<.001 for all comparisons). For each year since 2010, the percentage of older adults enrolled in trials increased by 1.9%, although this difference was not significant. We observed no difference in overall or progression-free survival between older and younger adults. In our analysis of practice-changing clinical trials, we found that 44% of clinical trial participants were older adults. Trials that included immunotherapy or a combination of therapeutic classes had a lower representation of older adults (<40%). CONCLUSIONS: We found that >40% of patients in practice-changing trials are older adults. Although they remain underrepresented in clinical trials compared with the general population, older adults in practice-changing trials seem to be better represented than in previously reported analyses of cooperative group trials.

Randomized Trial of a Palliative Care Intervention to Improve End-of-Life Care Discussions in Patients With Metastatic Breast Cancer.

BACKGROUND: Studies show that early, integrated palliative care (PC) improves quality of life (QoL) and end-of-life (EoL) care for patients with poor-prognosis cancers. However, the optimal strategy for delivering PC for those with advanced cancers who have longer disease trajectories, such as metastatic breast cancer (MBC), remains unknown. We tested the effect of a PC intervention on the documentation of EoL care discussions, patient-reported outcomes, and hospice utilization in this population. PATIENTS AND METHODS: Patients with MBC and clinical indicators of poor prognosis (n=120) were randomly assigned to receive an outpatient PC intervention (n=61) or usual care (n=59) between May 2, 2016, and December 26, 2018, at an academic cancer center. The intervention entailed 5 structured PC visits focusing on symptom management, coping, prognostic awareness, decision-making, and EoL planning. The primary outcome was documentation of EoL care discussions in the electronic health record (EHR). Secondary outcomes included patient-report of discussions with clinicians about EoL care, QoL, and mood symptoms at 6, 12, 18, and 24 weeks after baseline and hospice utilization. RESULTS: The rate of EoL care discussions documented in the EHR was higher among intervention patients versus those receiving usual care (67.2% vs 40.7%; P=.006), including a higher completion rate of a Medical Orders for Life-Sustaining Treatment form (39.3% vs 13.6%; P=.002). Intervention patients were also more likely to report discussing their EoL care wishes with their doctor (odds ratio [OR], 3.10; 95% CI, 1.21-7.94; P=.019) and to receive hospice services (OR, 4.03; 95% CI, 1.10-14.73; P=.035) compared with usual care patients. Study groups did not differ in patient-reported QoL or mood symptoms. CONCLUSIONS: This PC intervention significantly improved rates of discussion and documentation regarding EoL care and delivery of hospice services among patients with MBC, demonstrating that PC can be tailored to address the supportive care needs of patients with longer disease trajectories. ClinicalTrials.gov identifier: NCT02730858.

Associations of patient-reported care satisfaction with symptom burden and healthcare use in hospitalized patients with cancer.

BACKGROUND: Hospitalized patients with cancer often experience a high symptom burden, which may impact care satisfaction and healthcare utilization. METHODS: We prospectively enrolled patients with cancer and unplanned hospitalizations from September 2014 to April 2017. Upon admission, we assessed patients' care satisfaction (FAMCARE items: satisfaction with care coordination and speed with which symptoms are treated) and physical (Edmonton Symptom Assessment System [ESAS]) and psychological (Patient Health Questionnaire-4 [PHQ-4]) symptoms. We used regression models to identify factors associated with care satisfaction and associations of satisfaction with symptom burden and hospital length of stay (LOS). RESULTS: Among 1,576 participants, most reported being "satisfied"/ "very satisfied" with care coordination (90%) and speed with which symptoms are treated (89%). Older age (coordination: B < 0.01, P = 0.02, speed: B = 0.01, P < 0.01) and admission to a dedicated oncology service (B = 0.20, P < 0.01 for each) were associated with higher satisfaction. Higher satisfaction with care coordination was associated with lower ESAS-physical (B = - 1.28, P < 0.01), ESAS-total (B = - 2.73, P < 0.01), PHQ4-depression (B = - 0.14, P = 0.02), and PHQ4-anxiety (B = - 0.16, P < 0.01) symptoms. Higher satisfaction with speed with which symptoms are treated was associated with lower ESAS-physical (B = - 1.32, P < 0.01), ESAS-total (B = - 2.46, P < 0.01), PHQ4-depression (B = - 0.14, P = 0.01), and PHQ4-anxiety (B = - 0.17, P < 0.01) symptoms. Satisfaction with care coordination (B = - 0.48, P = 0.04) and speed with which symptoms are treated (B = - 0.44, P = 0.04) correlated with shorter LOS. CONCLUSIONS: Hospitalized patients with cancer report high care satisfaction, which correlates with older age and admission to a dedicated oncology service. Significant associations among higher care satisfaction, lower symptom burden, and shorter hospital LOS highlight the importance of improving symptom management and care coordination in this population.

Factors associated with psychological distress in caregivers of patients with malignant gliomas.

PURPOSE: Caregivers of patients with malignant gliomas are at risk for psychological distress. However, factors associated with distress in this population have not been well described. We conducted a prospective study evaluating psychological distress in patients with malignant gliomas and their caregivers and exploring factors associated with caregiver distress. METHODS: We enrolled patients with newly diagnosed malignant gliomas (N = 77) and their caregivers (N = 61). At baseline and 3, 6, and 9 months after diagnosis, we administered the Hospital Anxiety and Depression Scale to assess psychological distress and the Caregiver Reaction Assessment to evaluate caregiver burden. We performed multivariable regression analyses to investigate caregiver-related, patient-related, and tumor-related factors associated with caregivers' distress. RESULTS: At baseline, 48.3% (29/60) and 26.2% (16/61) of caregivers reported clinically significant anxiety and depression symptoms, respectively. Anxiety and depression symptoms persisted over time. Greater caregiver depression was associated with male gender (B = 1.48, 95% CI 0.16-2.81, p = 0.03), higher caregiver burden (B = 0.08, 95% CI 0.01-0.15, p = 0.02), caregiver anxiety (B = 0.53, 95% CI 0.38-0.68, p < 0.0001), patient depression (B = 0.34, 95% CI 0.13-0.55, p = 0.002), and caring for a younger patient (B = -0.07, 95% CI -0.15 to 0.00, p = 0.049). Factors associated with greater caregiver anxiety symptoms were caregiver depression (B = 0.91, 95% CI 0.71-1.12, p < 0.0001) and younger patient age (B = -0.15, 95% CI -0.24 to -0.05, p = 0.003). CONCLUSION: Male gender, higher caregiver burden, greater patient depression symptoms, and younger patient age are associated with increased distress among caregivers of patients with malignant gliomas, underscoring the need for tailored supportive care interventions targeting caregivers at highest risk for psychological distress.

Thorough Performance Evaluation of 213 nm Ultraviolet Photodissociation for Top-down Proteomics.

Top-down proteomics studies intact proteoform mixtures and offers important advantages over more common bottom-up proteomics technologies, as it avoids the protein inference problem. However, achieving complete molecular characterization of investigated proteoforms using existing technologies remains a fundamental challenge for top-down proteomics. Here, we benchmark the performance of ultraviolet photodissociation (UVPD) using 213 nm photons generated by a solid-state laser applied to the study of intact proteoforms from three organisms. Notably, the described UVPD setup applies multiple laser pulses to induce ion dissociation, and this feature can be used to optimize the fragmentation outcome based on the molecular weight of the analyzed biomolecule. When applied to complex proteoform mixtures in high-throughput top-down proteomics, 213 nm UVPD demonstrated a high degree of complementarity with the most employed fragmentation method in proteomics studies, higher-energy collisional dissociation (HCD). UVPD at 213 nm offered higher average proteoform sequence coverage and degree of proteoform characterization (including localization of post-translational modifications) than HCD. However, previous studies have shown limitations in applying database search strategies developed for HCD fragmentation to UVPD spectra which contains up to nine fragment ion types. We therefore performed an analysis of the different UVPD product ion type frequencies. From these data, we developed an ad hoc fragment matching strategy and determined the influence of each possible ion type on search outcomes. By paring down the number of ion types considered in high-throughput UVPD searches from all types down to the four most abundant, we were ultimately able to achieve deeper proteome characterization with UVPD. Lastly, our detailed product ion analysis also revealed UVPD cleavage propensities and determined the presence of a product ion produced specifically by 213 nm photons. All together, these observations could be used to better elucidate UVPD dissociation mechanisms and improve the utility of the technique for proteomic applications.