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Introduction: High-intensity end-of-life (EoL) care can be burdensome for patients, caregivers, and health systems and does not confer any meaningful clinical benefit. Yet, there are significant knowledge gaps regarding the predictors of high-intensity EoL care. In this study, we identify risk factors associated with high-intensity EoL care among older adults with the four most common malignancies, including breast, prostate, lung, and colorectal cancer., Materials and Methods: Using SEER-Medicare data, we conducted a retrospective analysis of Medicare beneficiaries aged 65 and older who died of breast, prostate, lung, or colorectal cancer between 2011 and 2015. We used multivariable logistic regression to identify clinical, demographic, socioeconomic, and geographic predictors of high-intensity EoL care, which we defined as death in an acute care hospital, receipt of any oral or parenteral chemotherapy within 14 days of death, one or more admissions to the intensive care unit within 30 days of death, two or more emergency department visits within 30 days of death, or two or more inpatient admissions within 30 days of death., Results: Among 59,355 decedents, factors associated with increased likelihood of receiving high-intensity EoL care were increased comorbidity burden (odds ratio [OR]:1.29; 95% confidence interval [CI]:1.28-1.30), female sex (OR:1.05; 95% CI:1.01-1.09), Black race (OR:1.14; 95% CI:1.07-1.23), Other race/ethnicity (OR:1.20; 95% CI:1.10-1.30), stage III disease (OR:1.11; 95% CI:1.05-1.18), living in a county with >1,000,000 people (OR:1.23; 95% CI:1.16-1.31), living in a census tract with 10%-<20% poverty (OR:1.09; 95% CI:1.03-1.16) or 20%-100% poverty (OR:1.12; 95% CI:1.04-1.19), and having state-subsidized Medicare premiums (OR:1.18; 95% CI:1.12-1.24). The risk of high-intensity EoL care was lower among patients who were older (OR:0.98; 95% CI:0.98-0.99), lived in the Midwest (OR:0.69; 95% CI:0.65-0.75), South (OR:0.70; 95% CI:0.65-0.74), or West (OR:0.81; 95% CI:0.77-0.86), lived in mostly rural areas (OR:0.92; 95% CI:0.86-1.00), and had poor performance status (OR:0.26; 95% CI:0.25-0.28). Results were largely consistent across cancer types., Discussion: The risk factors identified in our study can inform the development of new interventions for patients with cancer who are likely to receive high-intensity EoL care. Health systems should consider incorporating these risk factors into decision-support tools to assist clinicians in identifying which patients should be referred to hospice and palliative care., Competing Interests: Declaration of Competing Interest Dr. Wulff-Burchfield reports receiving grants from Pfizer Global Medical Grants, personal fees from Astellas, personal fees from Aveo Oncology, personal fees from Bristol Myers Squibb, personal fees from Exelixis, personal fees from Janssen, personal fees from Targeted Oncology, personal fees from Aptutide Health, grant and non-financial support from Acer Therapeutics, other from Immunomedics, other from Nektar, outside the submitted work. Dr. Vyas reports receiving research grants from Merck & Co, Inc. and Rhode Island Department of Health. Dr. Olszewski reports receiving research funding from Precision Bio, Adaptive Biotechnologies, Celdex, Acrotech Biopharma, TG Therapeutics, Genmab, and Genentech and consultancy fees from Schrodinger, TG Therapeutics and Genmab. Courtney Baird, Pamela Egan, Lee Hugar, Nikolaos Trikalinos, Michael Liu, Emmanuelle Bélanger, and Orestis Panagiotou have no conflicts or disclosures to report., (Copyright © 2024 Elsevier Ltd. All rights reserved.)

Background: Sarcopenia is associated with adverse outcomes for patients with muscle invasive bladder cancer (MIBC), but less is known about its impact in the setting of non-muscle invasive bladder cancer (NMIBC). Sarcopenia, skeletal muscle density, and adipose tissue area have been studied as markers of malnutrition and can be determined radiographically. The purpose of this study is to characterize the prevalence of sarcopenia in patients with NMIBC receiving intravesical Bacillus Calmette-Guérin (BCG)., Methods: Following institutional review board approval, patients with NMIBC having received intravesical BCG were identified using institutional pharmacy records. Patients having undergone computed tomography (CT) of the abdomen and pelvis within 90 days of treatment were included in the analysis. Using sliceOmatic 5.0 software, skeletal muscle area (cm 2 ) was measured at the L3 level to calculate skeletal muscle index (SMI), a marker of sarcopenia. Subcutaneous, visceral, and intramuscular adipose tissue areas in addition to skeletal muscle density were also measured. Frailty was evaluated as a secondary aim using the 5-Item Modified Frailty Index (mFI-5). Using predefined cutoffs, the prevalence of sarcopenia was determined. Descriptive statistics were used to characterize frailty and secondary body composition characteristics. Statistical analysis was performed to evaluate the impact of sarcopenia on recurrence rate and progression., Results: A total of 308 patients having received BCG between 2015 and 2020 were identified, of which 90 met criteria for analysis. Nearly all (94%) patients completed at least 5 out of 6 BCG induction instillations. Median body mass index (kg/m 2 ) was 27.64 (IQR 24.9, 30.5) for females and 27.7 (IQR 24.9, 30.66) for males. Median SMI (cm 2 /m 2 ) was 49.44 (IQR 39.39, 55.17) for females and 49.58 (IQR 40.25, 55.58) for males. A majority (61%) of patients were found to be sarcopenic. High-risk frailty was identified 36% of patients. There was no association between sarcopenia and recurrence rate or progression., Conclusions: Sarcopenia and frailty are highly prevalent amongst patients with NMIBC. A diagnosis of NMIBC represents a window of opportunity to identify and intervene on modifiable risk factors such as sarcopenia and frailty, which are associated with adverse outcomes in more advanced disease states., Competing Interests: Declaration of Competing Interest The author has no competing interests to disclose, financial or otherwise., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Background: To examine differences in survival outcomes for muscle-invasive bladder cancer patients stratified by new mental health diagnosis., Methods: Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare data, we identified patients diagnosed with muscle-invasive bladder cancer between 2008 and 2014. Our primary outcome was cancer-specific and overall hazards of mortality. As a secondary outcome, we reported predictors of developing a new mental health diagnosis after bladder cancer diagnosis. We used Cox proportional hazards models to determine the impact of palliative care and mental health diagnoses on survival outcomes after adjusting for grade, stage, comorbidity index, and baseline demographics., Results: Of the 3794 patients who met inclusion criteria, 1193 (31%) were diagnosed with a mental health illness after their bladder cancer diagnosis during the 6 years in the study period. The most common diagnoses were depression (13%), alcohol and drug abuse (12%), and anxiety (11%). Patients with a post-bladder cancer mental health diagnosis had a 57% higher hazard of overall mortality (HR 1.57, P = .048) and an 80% higher hazard of bladder cancer-specific mortality (HR 1.81, P = .037) CONCLUSIONS: New mental health diagnoses are associated with worse survival in patients with muscle invasive bladder cancer. This suggests that a multimodal approach to bladder cancer treatment should include addressing the non-oncologic needs of the patient to optimize survival outcomes., Competing Interests: Disclosure The remaining authors declare no conflict of interest., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Objectives: Patients undergoing radical cystectomy with ileal conduit formation usually receive training on the use of their stoma during their initial hospitalization - while actively recovering from surgery - often with little follow-up or reinforcement. Many of these patients are not equipped to deal with these significant body changes, which can lead to additional clinic visits, stoma-related complications, and decreased patient satisfaction/health-related quality of life (HRQOL). In an effort to improve patient education, we sought to evaluate the feasibility of implementing a preoperative comprehensive stoma education session termed the "stoma bootcamp" for patients scheduled for a radical cystectomy and ileal conduit (RCIC). We tracked patient related outcomes to determine its impact., Methods: We performed a longitudinal, quality-improvement feasibility study at the University of Kansas Health System. All patients who were scheduled to undergo a RCIC for bladder cancer were offered enrollment into the study at their preoperative clinic visit. The "stoma boot camp" consisted of a 3-hour group session within 2 weeks of the surgery date. Patients were given a short presentation by residents and advanced practice providers regarding the operation, recovery, and expectations for their post-operative care. Ostomy nurses then demonstrated basic urostomy care - pouching, sizing, emptying - along with trouble-shooting tips for common ostomy problems. Measurements of HRQOL questionnaires were completed at the initial visit, after "boot camp," and at defined time points after surgery for 12 weeks. This included using an ostomy adjustment score. Length of stay, unplanned stoma-related interventions, and re-admissions within 30 days were also tracked., Results: In this initial pilot program, 51 patients participated in the stoma bootcamp. The patients had an average ostomy adjustment score (OAS) of 150.4 (95% CI 142.0, 158.8) at discharge from the hospital, and these high OAS levels persisted throughout the 12 weeks of follow-up data without any significant decline. Short-form 36 (SF-36) scores demonstrated numerical improvements in each individual category at the 6-week mark above baseline. These improvements persisted at the 12-week mark., Conclusions: In this study we were able to establish the feasibility of implementing a preoperative comprehensive stoma education session for patients scheduled for a RCIC. Additionally, we were able to document favorable HRQOL data and improved ostomy adjustment scores surrounding the education session., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: Vaccination is an important preventive health measure to protect against symptomatic and severe COVID-19. Impaired immunity secondary to an underlying malignancy or recent receipt of antineoplastic systemic therapies can result in less robust antibody titers following vaccination and possible risk of breakthrough infection. As clinical trials evaluating COVID-19 vaccines largely excluded patients with a history of cancer and those on active immunosuppression (including chemotherapy), limited evidence is available to inform the clinical efficacy of COVID-19 vaccination across the spectrum of patients with cancer., Patients and Methods: We describe the clinical features of patients with cancer who developed symptomatic COVID-19 following vaccination and compare weighted outcomes with those of contemporary unvaccinated patients, after adjustment for confounders, using data from the multi-institutional COVID-19 and Cancer Consortium (CCC19)., Results: Patients with cancer who develop COVID-19 following vaccination have substantial comorbidities and can present with severe and even lethal infection. Patients harboring hematologic malignancies are over-represented among vaccinated patients with cancer who develop symptomatic COVID-19., Conclusions: Vaccination against COVID-19 remains an essential strategy in protecting vulnerable populations, including patients with cancer. Patients with cancer who develop breakthrough infection despite full vaccination, however, remain at risk of severe outcomes. A multilayered public health mitigation approach that includes vaccination of close contacts, boosters, social distancing, and mask-wearing should be continued for the foreseeable future., Competing Interests: Disclosure ALS reports non-financial support from Astellas, non-financial support from Pfizer, outside the submitted work. CL reports research support from Genentech/imCORE, outside the submitted work. ZB reports non-financial support from Bristol Myers Squibb, grants from Genentech/imCORE, personal fees from UpToDate, outside the submitted work. CYH reports personal fees from NashBio, outside the submitted work. SAB reports personal fees from Exelixis, personal fees from Seattle Genetics, personal fees from Pfizer, personal fees from Bristol Myers Squibb, outside the submitted work. CRF reports research grants from the Merck Foundation and National Comprehensive Cancer Network (NCCN)/Pfizer, outside the submitted work. EAG reports personal fees and other from Alexion Pharmaceuticals, personal fees and non-financial support from Novartis Pharmaceuticals, personal fees, non-financial support and other from Astex/Otsuka Pharmaceuticals, other from Apellis Pharmaceuticals, personal fees, non-financial support, and other from Celgene/Bristol Myers Squibb, grants and personal fees from AbbVie/Genentech, other from Celldex Therapeutics, personal fees from Boston Biomedical, outside the submitted work. JEH reports research funding paid to her institution from Dendreon Pharmaceuticals LLC, research funding paid to her institution from Regeneron Pharmaceuticals, personal fees from Genzyme, personal fees from Seagen, outside the submitted work. RRM reports grants and personal fees from Bayer, grants from Pfizer, grants from Tempus, personal fees from AVEO, personal fees from Caris, personal fees from Bristol Myers Squib, personal fees from Exelixis, personal fees from Janssen, personal fees from Novartis, personal fees from Pfizer, personal fees from Sanofi, personal fees from Tempus, personal fees from Dendreon, personal fees from Vividion, personal fees from AstraZeneca, personal fees from Calithera, personal fees from Merck, outside the submitted work. OAP reports personal fees from International Consulting Associates, Inc., outside the submitted work. EMW-B reports personal fees from Astellas, personal fees from AVEO Oncology, personal fees from Bristol Myers Squibb, other from Exelixis, grants from Pfizer Global Medical Grants, other from Nektar, other from Immunomedics, outside the submitted work. SM reports personal fees from National Geographic, outside the submitted work. DF reports a grant from Merck to study COVID-19 in immunocompromised patients, outside of the submitted work. YS reports personal fees from Novartis, personal fees from Roche, personal fees from Pfizer, personal fees from Janssen, personal fees from Eisai, personal fees from AstraZeneca, outside of the submitted work. JLW reports personal fees from Westat, personal fees from Roche, personal fees from Melax Tech, personal fees from Flatiron Health, other from HemOnc.org LLC (ownership), outside the submitted work. TKC reports institutional and personal, paid and unpaid support for research, advisory boards, consultancy, and honoraria from AstraZeneca, Aravive, Aveo, Bayer, Bristol Myers Squibb, Eisai, EMD Serono, Exelixis, GlaxoSmithKline, IQVIA, Ipsen, Kanaph, Lilly, Merck, Nikang, Novartis, Pfizer, Roche, Sanofi/Aventis, Takeda, Tempest, UpToDate, CME events (Peerview, OncLive and others), outside the submitted work. All other authors have declared no conflicts of interest., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Background: Patients with cancer may be at high risk of adverse outcomes from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We analyzed a cohort of patients with cancer and coronavirus 2019 (COVID-19) reported to the COVID-19 and Cancer Consortium (CCC19) to identify prognostic clinical factors, including laboratory measurements and anticancer therapies., Patients and Methods: Patients with active or historical cancer and a laboratory-confirmed SARS-CoV-2 diagnosis recorded between 17 March and 18 November 2020 were included. The primary outcome was COVID-19 severity measured on an ordinal scale (uncomplicated, hospitalized, admitted to intensive care unit, mechanically ventilated, died within 30 days). Multivariable regression models included demographics, cancer status, anticancer therapy and timing, COVID-19-directed therapies, and laboratory measurements (among hospitalized patients)., Results: A total of 4966 patients were included (median age 66 years, 51% female, 50% non-Hispanic white); 2872 (58%) were hospitalized and 695 (14%) died; 61% had cancer that was present, diagnosed, or treated within the year prior to COVID-19 diagnosis. Older age, male sex, obesity, cardiovascular and pulmonary comorbidities, renal disease, diabetes mellitus, non-Hispanic black race, Hispanic ethnicity, worse Eastern Cooperative Oncology Group performance status, recent cytotoxic chemotherapy, and hematologic malignancy were associated with higher COVID-19 severity. Among hospitalized patients, low or high absolute lymphocyte count; high absolute neutrophil count; low platelet count; abnormal creatinine; troponin; lactate dehydrogenase; and C-reactive protein were associated with higher COVID-19 severity. Patients diagnosed early in the COVID-19 pandemic (January-April 2020) had worse outcomes than those diagnosed later. Specific anticancer therapies (e.g. R-CHOP, platinum combined with etoposide, and DNA methyltransferase inhibitors) were associated with high 30-day all-cause mortality., Conclusions: Clinical factors (e.g. older age, hematological malignancy, recent chemotherapy) and laboratory measurements were associated with poor outcomes among patients with cancer and COVID-19. Although further studies are needed, caution may be required in utilizing particular anticancer therapies., Clinical Trial Identifier: NCT04354701., Competing Interests: Disclosure JDA reports research funding to the institution from Tesaro, outside the submitted work. ZB reports nonfinancial support from Bristol Myers Squibb and grants from Genentech/imCORE, outside the submitted work. BB reports research funding to the institution from Boehringer Ingelheim, Bicycle Therapeutics, Syros Pharmaceuticals, and Ikena Oncology, all outside the submitted work. TB-S reports research funding to the institution from Agios, Arys, Boston Biomedical, Bayer, Amgen, Merck, Celgene, Lilly, Ipsen, Clovis, Seattle Genetics, Array Biopharma, Genentech, Novartis, Mirati, Merus, AbGenomics, Incyte, Pfizer, BMS; consulting (to institution) for Ipsen, Array Biopharma, Pfizer, Seattle Genetics, Bayer, Genentech, Incyte, and Merck; consulting (to self) for AbbVie, Boehringer Ingelheim, Janssen, Eisai, Daiichi Sankyo, Natera, Treos Bio, Celularity, Exact Science, Sobi, BeiGene, Xilis, Astra Zeneca, and Foundation Medicine; serving on Independent Data Monitoring Committee/Data and Safety Monitoring Board (to self) for AstraZeneca, Exelixis, Lilly, PanCAN, and 1Globe; positions on Scientific Advisory Board for Imugene, Immuneering, and Sun Biopharma; and inventions/patents (WO/2018/183488 and WO/2019/055687), all outside the submitted work. SB reports being on advisory boards for Bristol Meyers Squibb and Seattle Genetics. MAB reports personal fees from Exelixis, Bristol-Myers Squibb, Bayer, Eisai, Pfizer, AstraZeneca, Janssen, Genomic Health, Nektar, and Sanofi; grants from Xencor, Bayer, Bristol-Myers Squibb, Genentech/Roche, Seattle Genetics, Incyte, Nektar, AstraZeneca, Tricon Pharmaceuticals, Peloton Therapeutics, and Pfizer, outside the submitted work. NB reports honoraria from Novartis, Pfizer, Roche, and Lilly, outside the submitted work. DWB reports research funding to the institution from Exelixis, Ayala, Merck, and Elevar, all outside the submitted work. DDC declares consulting or advisory role with Exelixis, outside the submitted work. TKC reports institutional and personal research support from Alexion, Analysis Group, AstraZeneca, Aveo, Bayer, Bristol Myers-Squibb/ER Squibb and sons LLC, Calithera, Cerulean, Corvus, Eisai, Exelixis, F. Hoffmann-La Roche, Foundation Medicine Inc., Genentech, GlaxoSmithKline, Ipsen, Lilly, Merck, Novartis, Peloton, Pfizer, Prometheus Labs, Roche, Roche Products Limited, Sanofi/Aventis, Takeda, Tracon; consulting/honoraria or advisory role with Alexion, Analysis Group, AstraZeneca, Aveo, Bayer, Bristol Myers-Squibb/ER Squibb and sons LLC, Cerulean, Corvus, Eisai, EMD Serono, Exelixis, Foundation Medicine Inc., Genentech, GlaxoSmithKline, Heron Therapeutics, Infinity Pharma, Ipsen, Jansen Oncology, IQVIA, Lilly, Merck, NCCN, Novartis, Peloton, Pfizer, Pionyr, Prometheus Labs, Roche, Sanofi/Aventis, Surface Oncology, Tempest, Up-to-Date; CME-related events (e.g. OncLive, PVI, MJH Life Sciences); stock ownership in Pionyr, Tempest; patents filed, royalties, or other intellectual properties related to biomarkers of immune checkpoint blockers; fees for travel, accommodations, expenses, medical writing in relation to consulting, advisory roles, or honoraria; and no speaker's bureau; also supported in part by the Dana-Farber/Harvard Cancer Center Kidney SPORE and Program, the Kohlberg Chair at Harvard Medical School and the Trust Family, Michael Brigham, and Loker Pinard Funds for Kidney Cancer Research at DFCI. DBD reports consulting for Ipsen, Boehringer Ingelheim; ASCO Young Investigator Award from Conquer Cancer Foundation, outside the submitted work. AE reports grant support from AstraZeneca, outside the submitted work. DF reports research funding to the institution from Viracor-Eurofins and Astellas, all outside the submitted work. LAF reports clinical trial funding to the institution from BMS, EMD Serono, Pfizer, Merck KGaA, Array, Kartos, Merck, and Incyte, ECOG-ACRIN study funding from Array; and personal fees from Elsevier and Via Oncology, outside the submitted work. DBF reports honoraria from Castle Biosciences. SMG reports Honoraria from AstraZeneca, Merck, Genentech/Roche; consulting or advisory role with Genentech/Roche, AstraZeneca, Bristol-Myers Squibb, Takeda, Xcovery, Boehringer Ingelheim, Novocure, Daiichi Sankyo, Novartis, Jazz Pharmaceuticals, Blueprint Medicines, Eli Lilly, Pfizer, Janssen Oncology; research funding (to self) from Merck, AstraZeneca; research funding (to institution) from Genentech/Roche, Merck, Blueprint Medicines, ARIAD/Takeda, Astellas Pharma, Lycera, Daiichi Sankyo, IMAB, Nektar, AstraZeneca, Pfizer, Amgen; travel, accommodations, expenses from Genentech/Roche, Merck; and other relationship from AstraZeneca, all outside the submitted work. MDG reports personal fees from Genentech, Pfizer, Astra Zeneca, Merck, Bristol Myers Squib, Dragonfly, Dracen, Seattle Genetics, and Astellas, outside the submitted work. PG reports consulting fees from AstraZeneca, Bayer, Bristol-Myers Squibb, Clovis Oncology, Dyania Health, Driver, EMD Serono, Exelixis, Foundation Medicine, Genentech/Roche, Genzyme, GlaxoSmithKline, Heron Therapeutics, Immunomedics, Infinity Pharmaceuticals, Janssen, Merck, Mirati Therapeutics, Pfizer, Seattle Genetics, QED Therapeutics; research funding to institution from Merck, Mirati Therapeutics, Pfizer, Clovis Oncology, Bavarian Nordic, Immunomedics, Debiopharm, Bristol-Myers Squibb, QED Therapeutics, GlaxoSmithKline, and Kure It Cancer Research, all outside the submitted work. SG reports research funding to the institution from AstraZeneca and consulting/advisory role with Puma Biotechnology. SG reports consultancy fees from BMS, Merck, AstraZeneca, Seattle Genetics, Pfizer; and speaker fees from Seattle Genetics and Janssen, all outside the submitted work. TRH reports consulting or advisory role with Curium, ScioScientific, TERUMO, Lexicon, Ipsen, Advanced Accelerator; research funding from Ipsen, ArQule, Agios, Thermo Fisher Scientific, Basilea. BH reports research funding to the institution from Amgen, AbbVie, BI, Mirati, Merck, Eli-Lilly, AstraZeneca, BMS, Novartis, GSK, Pfizer, Advaxis, and Guardant Health; consulting/advisory role with Merck, BMS, Genentech, AstraZeneca, Amgen, Novartis, TPT, VI, Guardant Health; and honoraria from PER and OncLive, all outside the submitted work. JEH reports research funding from Regeneron and Dendreon; and travel, accommodations, and expenses from Genzyme. CH reports funding from the Henry Ford Cancer Institute supporting the current work; research funding to institution from Merck, Exelixis, Bayer, AstraZeneca, Genentech, Dendreon and Bausch; personal fees from Sanofi/Genzyme, Dendreon, Exelixis, Bristol Myers Squibb, Astellas, Medivation, Bayer, and Janssen Scientific, all outside the submitted work; and stock ownership by an immediate family member in Johnson and Johnson. DBJ reports advisory board participation for Array Biopharma, BMS, Catalyst Biopharma, Iovance, Jansen, Merck, Novartis, and OncoSec, and receives research funding from BMS and Incyte, all outside the submitted work. AK reports support to his institution from TESARO, Halozyme, Geistlich Pharma, Astellas Pharma, and Rafael Pharmaceuticals; and honoraria from OncLive, outside the submitted work. ARK (or an immediate family member) has currently or during the past 2 years owned stock or held an ownership interest in Merck, Sanofi, and BMS. VSK reports personal fees from Pfizer, Janssen, Dendreon, AstraZeneca, Seattle Genetics, and Clovis; grants (for institution) from Nektar, Novartis/Endocyte, Janssen, Clovis, and Prostate Cancer Foundation, all outside the submitted work. NMK reports personal fees from G1 Therapeutics, Invitae, Beyond Spring, Spectrum, BMS, Janssen, and Total Health, all outside the submitted work. PEL reports consulting/advisory role with Pfizer, Merck, Teva, BI, and Astra Zeneca, all outside the submitted work. AL-B reports personal fees from PSI CRO, Bayer, Blueprint, Astra-Zeneca, Medidata, Taiho, QED, Cardinal Health, BrightInsight, The Lynx Group, Boston Biomedical, Amgen, Bayer, Guardant, Natera, Eisai, Ipsen, and Merck; and stock options from Massive Bio, outside the submitted work. GdLL reports honoraria from Boehringer Ingelheim; consulting or advisory role for Pfizer and AstraZeneca; research funding from AstraZeneca; funding to his institution from Merck Sharp & Dohme, EMD Serono, AstraZeneca, Blueprint Medicines, Tesaro, Bavarian Nordic, NOVARTIS, G1 Therapeutics, Adaptimmune, BMS, GSK, AbbVie, Rgenix, Pfizer, Roche, Genentech, Lilly, and Janssen; travel, accommodations, and expenses from Boehringer Ingelheim, Pfizer, E.R. Squibb Sons, LLC, Janssen. GHL reports grants from AMGEN (institution); personal fees from G1 Therapeutics, TEVA, Samsung Bioepis, Beyond Spring, and Merck, outside the submitted work. RRM reports research funding from Bayer, Pfizer, Tempus; serves on Advisory Board for AstraZeneca, Bayer, Bristol Myers Squibb, Calithera, Exelixis, Janssen, Merck, Novartis, Pfizer, Sanofi, Tempus; is a consultant for Dendreon, Vividion; and serves on the molecular tumor board at Caris. RAM grants from Incyte, CTI, AbbVie, and Celgene; personal fees from Novartis, Genentech, Sierra Oncology, La Jolla, and Samus, outside the submitted work. VM has currently or during the past 2 years employment and stock or other ownership interest with Johnson & Johnson, all outside the submitted work. GN reports research funding to the institution from Novartis, all outside the submitted work. JN reports personal fees from AstraZeneca, Clovis Oncology; all outside the submitted work. CAP (or an immediate family member) has currently or during the past 2 years owned stock or held an ownership interest in Pfizer, Epizyme, Inovio, OPKO Health Inc, Roche. JMP reports grant from Dana-Farber/Harvard Cancer Center Breast SPORE Program, outside the submitted work. PP reports receiving payment for speakers' bureau from Novartis, Daichi Sankyo, Genentech, Seattle Genetics, and Pfizer, all outside the submitted work. NAP reports personal fees from Eli Lilly, Merck, BMS, Genentech, AstraZeneca, Inivata, and Regeneron, outside the submitted work. SP reports personal fees from AbbVie, Amgen, AstraZeneca, Bayer, Biocartis, Boehringer-Ingelheim, Bristol-Myers Squibb, Clovis, Daiichi Sankyo, Debiopharm, Eli Lilly, F. Hoffmann-La Roche, Foundation Medicine, Illumina, Janssen, Merck Sharp and Dohme, Merck Serono, Merrimack, Novartis, Pharma Mar, Pfizer, Regeneron, Sanofi, Seattle Genetics and Takeda, AstraZeneca, Boehringer-Ingelheim, Bristol-Myers Squibb, Eli Lilly, F. Hoffmann-La Roche, Merck Sharp and Dohme, Novartis, Pfizer, and Takeda; nonfinancial support from Amgen, AstraZeneca, Boehringer-Ingelheim, Bristol-Meyers Squibb, Clovis, F. Hoffmann-La Roche, Illumina, Merck Sharp and Dohme, Merck Serono, Novartis, Pfizer, and Sanofi; and personal fees from BioInvent (all fees to institution), outside the submitted work. DYR reports consulting/advisory role with and coverage of travel/accommodation expenses by Castle Biosciences, all outside the submitted work. BIR reports grants, personal fees, and nonfinancial support from Merck; grants and personal fees from BMS, Pfizer, Aveo, and Genentech; grants from Astra Zeneca; personal fees from Synthorx, 3D Medicines, Aravive, Surface Oncology, and Arrowhead Therapeutics; and other from PTC Therapeutics, outside the submitted work. RPR reports research grants to her institution from BMS and Janssen and has worked as a consultant/advisor and received honoraria from BMS and Janssen, all of which are outside the scope of submitted work. ALS reports travel support provided by Pfizer and Astellas. GKS reports personal fees from Apexigen, Array, Epizyme, GenCirq, Daiichi Sankyo, Fortress, Iovance Biotherapeutics, Bayer Pharmaceuticals, Pfizer Oncology, Array Advisory Board, Oncogenuity, Puretech, PTC Therapeutics, Ellipses Pharma, Concarlo; advisory board for Bionaut; grants from Astex; stock ownership in Pfizer, all outside the submitted work. SS reports stock and other ownership interests in Grand Rounds, Janssen, and Natera. YS reports honoraria from Boehringer Ingelheim, AstraZeneca, Novartis, and Eisai; consulting or advisory role with Pfizer, AstraZeneca, Novartis, Roche, Genentech, and Janssen, all outside the submitted work. MAT reports travel support from Syapse, Royalties from UpToDate, Connect MDS/AML Registry in Celgene (now owned by BMS), Myeloma Registry in Takeda; stock ownership in Doximity; personal fees from VIA Oncology (now owned by Elsevier ClinicalPath), Adaptive Advisory Board, and GSK; he is the local PI for Clinical Trials in AbbVie, BMS, CRAB CTC, Denovo, Research Network, Eli Lilly, LynxBio, Strata Oncology, and TG Therapeutics, all outside the submitted work. AKV reports research funding to the institution from BMS, MedPacto, Prelude, iOnctura, and Janssen; honoraria from Acceleron and Novartis; consulting/advisory role with Stelexis and Janssen; stock or other ownership in Stelexis; and an immediate family member with employment/leadership with CereXis, all outside the submitted work. DCV reports honoraria and speakers' bureau fees from CSL Behring, Merck Canada, Novartis Canada, Takeda, and UCB Biosciences GmbH, and travel accommodations from CSL Behring, and Avir Pharma, all outside the submitted work. He is supported by the Fonds de la recherche en santé du Québec (FRQS) Clinician-Scientist Junior 2 program. JLW reports grants from the National Cancer Institute during the conduct of the study; personal fees from Westat and IBM Watson Health; and other from HemOnc.org LLC, outside the submitted work. TMW-D reports stock and other ownership interests in High Enroll; honoraria from Physicians' Education Resource; consulting or advisory roles with Shattuck Labs, Rakuten Medical, Exicure; research funding from Merck, AstraZeneca/MedImmune, Bristol-Myers Squibb, GlaxoSmithKline, Caris Life Sciences, GlaxoSmithKline; travel, accommodations, expenses from Merck, Bristol-Myers Squibb, Bexion, AstraZeneca/MedImmune, Caris Life Sciences, Lilly, and Tesaro, all outside the submitted work. EW-B reports work in a consultant/advisor role for Astellas and BMS; funding support from Pfizer Global Medical Grants; other for Exelixis; and an immediate family member with stock ownership in Immunomedics and Nektar, all outside the submitted work. TZ reports research funding (to Duke) from Pfizer, Janssen, Acerta, AbbVie, Novartis, Merrimack, OmniSeq, PGDx, Merck, Mirati, Astellas, and Regeneron; consulting/speaking role with Genentech Roche, Exelixis, Genomic Health, and Sanofi Aventis; and serves on the consulting/advisory board for AstraZeneca, Bayer, Pfizer, Foundation Medicine, Janssen, Amgen, BMS, Calithera, Dendreon, and MJH Associates; stock ownership/employment (spouse) from Capio Biosciences, Archimmune Therapeutics, and Nanorobotics. AYZ has currently or during the past 2 years owned stock or held an ownership interest in Gilead Sciences. LZ reports personal fees from MERCK, outside the submitted work. All others have declared no conflicts of interest., (Copyright © 2021 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objectives: To determine the relationship of self-care task disabilities with the use of systemic cancer therapies for advanced non-small cell lung cancer (NSCLC) in nursing home patients., Materials and Methods: Using the Surveillance, Epidemiology, and End Results-Medicare database linked with Minimum Data Set assessments, we identified nursing home residents with advanced NSCLC from 2011 to 2015. We considered disability in activities of daily living (ADL) including dressing, personal hygiene, toilet use, locomotion on unit, transfer, bed mobility, and eating. We estimated the association between ADL disabilities and receipt of systemic cancer therapies within 3 months of diagnosis., Results: Of the 3174 patients, 2702 (85.2%) experienced disability in one or more ADLs and 64.7% had disability in 5-7 ADLs. A total of 415 (13.1%) patients received systemic therapy. There was a strong association between disability in each ADL and receipt of therapy including dressing (OR, 0.52 [95% CI, 0.42-0.65]), toileting (odds ratio, OR, 0.52 [95% confidence interval, CI, 0.42-0.65]), personal hygiene (OR, 0.48 [95% CI, 0.39-0.59]), transfers (OR, 0.51 [95% CI, 0.41-0.64]), bed mobility (OR, 0.55 [95% CI, 0.44-0.69]), locomotion (OR, 0.57 [95% CI, 0.46-0.71]), or eating (OR, 0.45 [95% CI, 0.31-0.67]). Compared to patients having no ADL disability, patients were less likely to receive chemotherapy if they had disability in 1-2 ADLs (OR, 0.95 [95% CI, 0.66-1.37]), 3-4 ADLs (OR, 0.81 [95% CI, 0.56-1.15]), or 5-7 ADLs (OR, 0.43 [95% CI, 0.33-0.56])., Conclusions: Systemic cancer therapy is not commonly used in this population and is strongly predicted by disability in self-care tasks., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Background: Data on patients with COVID-19 who have cancer are lacking. Here we characterise the outcomes of a cohort of patients with cancer and COVID-19 and identify potential prognostic factors for mortality and severe illness., Methods: In this cohort study, we collected de-identified data on patients with active or previous malignancy, aged 18 years and older, with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection from the USA, Canada, and Spain from the COVID-19 and Cancer Consortium (CCC19) database for whom baseline data were added between March 17 and April 16, 2020. We collected data on baseline clinical conditions, medications, cancer diagnosis and treatment, and COVID-19 disease course. The primary endpoint was all-cause mortality within 30 days of diagnosis of COVID-19. We assessed the association between the outcome and potential prognostic variables using logistic regression analyses, partially adjusted for age, sex, smoking status, and obesity. This study is registered with ClinicalTrials.gov, NCT04354701, and is ongoing., Findings: Of 1035 records entered into the CCC19 database during the study period, 928 patients met inclusion criteria for our analysis. Median age was 66 years (IQR 57-76), 279 (30%) were aged 75 years or older, and 468 (50%) patients were male. The most prevalent malignancies were breast (191 [21%]) and prostate (152 [16%]). 366 (39%) patients were on active anticancer treatment, and 396 (43%) had active (measurable) cancer. At analysis (May 7, 2020), 121 (13%) patients had died. In logistic regression analysis, independent factors associated with increased 30-day mortality, after partial adjustment, were: increased age (per 10 years; partially adjusted odds ratio 1·84, 95% CI 1·53-2·21), male sex (1·63, 1·07-2·48), smoking status (former smoker vs never smoked: 1·60, 1·03-2·47), number of comorbidities (two vs none: 4·50, 1·33-15·28), Eastern Cooperative Oncology Group performance status of 2 or higher (status of 2 vs 0 or 1: 3·89, 2·11-7·18), active cancer (progressing vs remission: 5·20, 2·77-9·77), and receipt of azithromycin plus hydroxychloroquine (vs treatment with neither: 2·93, 1·79-4·79; confounding by indication cannot be excluded). Compared with residence in the US-Northeast, residence in Canada (0·24, 0·07-0·84) or the US-Midwest (0·50, 0·28-0·90) were associated with decreased 30-day all-cause mortality. Race and ethnicity, obesity status, cancer type, type of anticancer therapy, and recent surgery were not associated with mortality., Interpretation: Among patients with cancer and COVID-19, 30-day all-cause mortality was high and associated with general risk factors and risk factors unique to patients with cancer. Longer follow-up is needed to better understand the effect of COVID-19 on outcomes in patients with cancer, including the ability to continue specific cancer treatments., Funding: American Cancer Society, National Institutes of Health, and Hope Foundation for Cancer Research., (Copyright © 2020 Elsevier Ltd. All rights reserved.)