Kooperativer Bibliotheksverbund

In: The Lancet, Elsevier BV, Vol. 395, No. 10241 ( 2020-06), p. 1907-1918

Type of Medium: Online Resource

ISSN: 0140-6736

URL: Article

DOI: 10.1016/S0140-6736(20)31187-9

Language: English

Publisher: Elsevier BV

Publication Date: 2020

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detail.hit.zdb_id: 3306-6

detail.hit.zdb_id: 1476593-7

SSG: 5,21

In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 12, No. 2 ( 2022-02), p. 303-330

Type of Medium: Online Resource

ISSN: 2159-8274 , 2159-8290

URL: Article

DOI: 10.1158/2159-8290.CD-21-1368

Language: English

Publisher: American Association for Cancer Research (AACR)

Publication Date: 2022

detail.hit.zdb_id: 2607892-2

In: The Lancet Regional Health - Americas, Elsevier BV, Vol. 19 ( 2023-03), p. 100445-

Type of Medium: Online Resource

ISSN: 2667-193X

URL: Article

DOI: 10.1016/j.lana.2023.100445

Language: English

Publisher: Elsevier BV

Publication Date: 2023

detail.hit.zdb_id: 3096925-6

In: SSRN Electronic Journal, Elsevier BV

Type of Medium: Online Resource

ISSN: 1556-5068

URL: Article

DOI: 10.2139/ssrn.4089485

Language: English

Publisher: Elsevier BV

Publication Date: 2022

In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 10, No. 10 ( 2020-10-01), p. 1514-1527

Abstract: Among 2,186 U.S. adults with invasive cancer and laboratory-confirmed SARS-CoV-2 infection, we examined the association of COVID-19 treatments with 30-day all-cause mortality and factors associated with treatment. Logistic regression with multiple adjustments (e.g., comorbidities, cancer status, baseline COVID-19 severity) was performed. Hydroxychloroquine with any other drug was associated with increased mortality versus treatment with any COVID-19 treatment other than hydroxychloroquine or untreated controls; this association was not present with hydroxychloroquine alone. Remdesivir had numerically reduced mortality versus untreated controls that did not reach statistical significance. Baseline COVID-19 severity was strongly associated with receipt of any treatment. Black patients were approximately half as likely to receive remdesivir as white patients. Although observational studies can be limited by potential unmeasured confounding, our findings add to the emerging understanding of patterns of care for patients with cancer and COVID-19 and support evaluation of emerging treatments through inclusive prospective controlled trials. Significance: Evaluating the potential role of COVID-19 treatments in patients with cancer in a large observational study, there was no statistically significant 30-day all-cause mortality benefit with hydroxychloroquine or high-dose corticosteroids alone or in combination; remdesivir showed potential benefit. Treatment receipt reflects clinical decision-making and suggests disparities in medication access. This article is highlighted in the In This Issue feature, p. 1426

Type of Medium: Online Resource

ISSN: 2159-8274 , 2159-8290

URL: Article

DOI: 10.1158/2159-8290.CD-20-0941

Language: English

Publisher: American Association for Cancer Research (AACR)

Publication Date: 2020

detail.hit.zdb_id: 2607892-2

In: The Lancet Healthy Longevity, Elsevier BV, Vol. 3, No. 3 ( 2022-03), p. e143-e152

Type of Medium: Online Resource

ISSN: 2666-7568

URL: Article

DOI: 10.1016/S2666-7568(22)00009-5

Language: English

Publisher: Elsevier BV

Publication Date: 2022

detail.hit.zdb_id: 3049841-7

In: Blood, American Society of Hematology, Vol. 138, No. Supplement 1 ( 2021-11-05), p. 5037-5037

Abstract: Background Aligning with 21st Century Cures legislation, FDA is exploring methodologies to advance appropriate uses of Real World Data (RWD) to generate Real World Evidence (RWE). RWD to support regulatory decision making has markedly increased in oncology. This review specifically focused on the analysis of RWD containing submissions for medical products in development for the treatment of hematological malignancies and associated treatment related conditions (e.g., Cytokine Release Syndrome (CRS), Graft Versus Host Disease (GVHD). Methods A systematic search was conducted using internal FDA databases to identify RWD submissions from 2010 to 2020. Search terms included: real world evidence, real world data, electronic health record, cancer registry, administrative claims, external control arm, observational cohort, historical control arm, real world Overall Survival (rwOS) , real world Response Rate (rwRR), real world Overall Response Rate rwORR and real world Complete Response (rwCR). Regulatory submissions specific to malignant hematology and associated treatment related conditions were reviewed, and pre-defined common data elements were extracted and validated by independent dual review. Descriptive statistics were calculated. Results A total of 142 regulatory submissions included RWD from 2011-2020. A subset of 94 RWD submissions met the criteria for further evaluation, of which 20 (21%) submissions corresponding with 14 molecular entities were for hematologic malignancies or treatment related conditions (e.g., CRS, GVHD). RWD submissions increased substantially over time, with 14 (70%) of submissions received between 2019-2020. Specific evaluation for pediatric indications was referenced in 15% of submissions. The most commonly referenced RWD source was EHR data (55%), followed by use of multiple sources (20%), and registry data (15%). Approximately 90% of the submissions aimed to support treatment effectiveness. Primary RWD study objectives included supporting approval of a new molecular entity (NME) (40%), expanding an approved indication (25%), conversion from accelerated to regular approval (15%), and providing data to inform postmarketing safety evaluation (20%). Among RWD submissions, response endpoints (e.g., rwORR, rwCR, rwPR, Partial Response) and overall survival (e.g., rwOS) were most frequently selected as primary outcomes for 50% and 20% of proposals respectively; however, these outcomes were included as any endpoint in 65% and 75% of submissions. Conclusion This review demonstrates increasing use of various RWD sources to support evidence generation for drug development in hematologic malignancies and associated treatment related conditions with the primary objective of supporting demonstration of effectiveness using rwOS or real world response measures as primary endpoints. Given the increased inclusion of RWD in regulatory submissions, further methodological development is needed, including in the selection and validation of rwEndpoints. Appropriate study design must be aligned with a clear regulatory objective to ensure that RWD can be adequately evaluated. Additionally, the development of standardized metrics for data characterization and transparency in reporting of RWD are foundational steps to the evaluation of fit for purpose RWD to support regulatory decision making. Disclosures No relevant conflicts of interest to declare.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2021-153503

Language: English

Publisher: American Society of Hematology

Publication Date: 2021

detail.hit.zdb_id: 1468538-3

detail.hit.zdb_id: 80069-7

In: JCO Clinical Cancer Informatics, American Society of Clinical Oncology (ASCO), , No. 6 ( 2022-05)

Abstract: To evaluate the completeness of information for research and quality assessment through a linkage between cancer registry data and electronic health record (EHR) data refined by ASCO's health technology platform CancerLinQ. METHODS A probabilistic data linkage between Iowa Cancer Registry (ICR) and an Iowa oncology clinic through CancerLinQ data was conducted for cases diagnosed between 2009 and 2018. Demographic, cancer, and treatment variables were compared between data sources for the same patients, all of whom were diagnosed with one primary cancer. Treatment data and compliance with quality measures were compared among those with breast or prostate cancer; SEER-Medicare data served as a comparison. Variables captured only in CancerLinQ data (smoking, pain, and height/weight) were evaluated for completeness. RESULTS There were 6,175 patients whose data were linked between ICR and CancerLinQ data sets. Of those, 4,291 (70%) were diagnosed with one primary cancer and were included in analyses. Demographic variables were comparable between data sets. Proportions of people receiving hormone therapy (30% v 26%, P 〈 .0001) or immunotherapy (22% v 12%, P 〈 .0001) were significantly higher in CancerLinQ data compared with ICR data. ICR data contained more complete TNM stage, human epidermal growth factor receptor 2 testing, and Gleason score information. Compliance with quality measures was generally highest in SEER-Medicare data followed by the combined ICR-CancerLinQ data. CancerLinQ data contained smoking, pain, and height/weight information within one month of diagnosis for 88%, 52%, and 76% of patients, respectively. CONCLUSION Linking CancerLinQ EHR data with cancer registry data led to more complete data for each source respectively, as registry data provides definitive diagnosis and more complete stage information and laboratory results, whereas EHR data provide more detailed treatment data and additional variables not captured by registries.

Type of Medium: Online Resource

ISSN: 2473-4276

URL: Article

DOI: 10.1200/CCI.21.00149

Language: English

Publisher: American Society of Clinical Oncology (ASCO)

Publication Date: 2022

In: JHEP Reports, Elsevier BV, Vol. 5, No. 6 ( 2023-06), p. 100747-

Type of Medium: Online Resource

ISSN: 2589-5559

URL: Article

DOI: 10.1016/j.jhepr.2023.100747

Language: English

Publisher: Elsevier BV

Publication Date: 2023

detail.hit.zdb_id: 2972660-8

In: Blood, American Society of Hematology, Vol. 136, No. Supplement 1 ( 2020-11-5), p. 56-58

Abstract: Introduction: Hospitalized patients with COVID-19 may have increased risk of venous thromboembolism (VTE) and pulmonary embolism (PE). Cancer and anti-cancer therapies are well-known additional risk factors for VTE. Nonetheless, the VTE risk in patients with both cancer and COVID-19 infection remains unknown as recent studies have not found an association due to sample size limitations. We report the incidence of and risk factors for VTE and PE among hospitalized patients with cancer and COVID-19. Methods: The COVID-19 and Cancer Consortium (CCC19) developed an international retrospective cohort study (NCT04354701) to investigate the clinical course and complications of COVID-19 among adult patients with an active or previous history of cancer. For the current study, cumulative incidences of clinically detected VTE and PE were analyzed among hospitalized patients with laboratory confirmed SARS-CoV-2. Pre-specified subgroup analysis was performed to examine the interaction between intensive care unit (ICU) admission and recent anti-cancer therapy on VTE outcomes. Bivariable logistic regression analyses were conducted to assess the association between baseline variables and VTE; unadjusted odds ratios (OR) and 95% confidence interval (CI) were reported. These variables included age, sex, obesity (BMI & gt;30), race/ethnicity, performance status, comorbidities, blood type, history of VTE, recent surgery, recent anti-cancer therapy, cancer subtype VTE risk grouping (adapted from Khorana Score), pre-admission anticoagulant or antiplatelet use, and ICU admission status. Results: From March 17, 2020 to July 31, 2020, 3914 patients were enrolled in the CCC19 registry. For the present analysis, patients were excluded if they had inadequate follow-up & lt;4 weeks (n=950), were not admitted to the hospital (n=1008), or had unknown VTE outcomes (n=327). Among the 1629 hospitalized patients, the median follow-up was 35 days. Patients were comprised from 3 countries (92% US, 6% Canada, 2% Spain), with a median age of 70, 45% female, and a median comorbidity score of 3. Racial/ethnic breakdown included 44% White, 26% Black, 14% Hispanic, and 13% Other. A past history of VTE was reported in 9% of patients; pre-admission anticoagulant use and antiplatelet use were reported in 25% and 35% of patients, respectively. The most common cancer types included prostate (18%), breast (15%), and lymphoma (14%). Based on the VTE risk grouping adapted from the original Khorana Score, 34% were low-risk, 29% were high-risk, and 6% were very high-risk. The receipt of anti-cancer therapy within 3 months of diagnosis was observed in 39% of patients (17% cytotoxic chemotherapy, 11% targeted therapy, 7% endocrine therapy, and 5% immunotherapy). The overall incidence of inhospital VTE and PE was 9.3% and 5.2%, respectively. The corresponding estimates were 13.4% and 7.9% among the ICU subgroup. On bivariable analysis, significant predictors of VTE included ICU admission, recent anti-cancer therapy, active cancer status, cancer subtype VTE risk grouping, and pre-admission antiplatelet use (Table 1). Pre-admission anticoagulant use had significant associations with PE but not VTE. Multivariable adjustment is ongoing to identify independent risk factor for VTE and clarify the impact of pre-admission anticoagulant/antiplatelet use controlled for other potential confounders. Both ICU admission status and anti-cancer therapy increased the risk of VTE independently. Non-ICU patients not on anti-cancer therapy had the lowest incidence of VTE (4.5%), whose estimate was similar to that reported in the non-cancer hospitalized population with COVID-19 infection. Patients with either ICU admission or recent anti-cancer therapy had the intermediate risk (11.0%), whereas ICU patients with recent anti-cancer therapy had the highest risk (16.7%). We did not observe confounding or effect modification by the ICU subgroup on the association between anti-cancer therapy and VTE. Conclusion: In this cohort study of hospitalized patients with cancer and COVID-19, recent anti-cancer therapy, active disease, high-risk VTE cancer subtypes, and ICU admission have increased risk of VTE and PE, while pre-admission anticoagulant/antiplatelet therapy may reduce the risk. This information will aid in developing a risk prediction tool for VTE in hospitalized patients with cancer and COVID-19. Disclosures Kuderer: G1 Therapeutics: Consultancy; Total Health: Consultancy; Invitae: Consultancy; Beyond Springs: Consultancy; Bristol-Myers Squibb: Consultancy; celldex: Consultancy; Bayer: Consultancy; Spectrum Pharmaceuticals: Consultancy; Janssen: Consultancy. Warner:HemOnc.orgLLC: Other: Shareholder/Stockholder/Stock options; IBM Watson Health: Consultancy; Westat: Consultancy; National Cancer Institute: Research Funding. Shah:American Cancer Society and the Hope Foundation for Cancer Research: Research Funding; National Cancer Institute: Research Funding. Zon:Amagma Therapeutics.: Consultancy, Other: stockholder. Shah:Aspen Pharma: Research Funding. Gulati:Puma Biotechnology: Consultancy; AstraZeneca: Research Funding; Isoray: Research Funding. Khaki:Merck: Other: share/stockholder; Pfizer: Other: share/stockholder. Thompson:AIM Specialty Health, BMS, GlaxoSmithKline, Takeda, Via Oncology: Membership on an entity's Board of Directors or advisory committees; Synapse Precision Medical Council: Other: Travel expenses; Doximity: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees. Grivas:Oncogenex: Research Funding; Immunomedics: Research Funding; Debiopharm: Research Funding; Bavarian Nordic,: Research Funding; QED Therapeutics: Honoraria; Seattle Genetics: Honoraria; Roche: Honoraria; Pfizer: Honoraria, Research Funding; Mirati Therapeutics: Honoraria, Research Funding; Merck: Honoraria, Research Funding; Janssen: Honoraria; Heron Therapeutics: Honoraria; GlaxoSmithKline: Honoraria; Genzyme: Honoraria; Genentech: Honoraria, Research Funding; Foundation Medicine: Honoraria; Exelixis: Honoraria; EMD Serono: Honoraria; Driver: Honoraria; Clovis Oncology: Honoraria, Research Funding; Bristol-Myers Squibb,: Consultancy, Honoraria, Research Funding, Speakers Bureau; Biocept: Honoraria; Bayer: Honoraria, Research Funding; Astra Zeneca: Honoraria, Research Funding. de Lima Lopes:Bavarian Nordic: Research Funding; NOVARTIS: Research Funding; Tesaro: Research Funding; GSK: Research Funding; G1 Therapeutics: Research Funding; adaptimmune: Research Funding; BMS: Research Funding; Lilly: Research Funding; Merck Sharp & Dohme: Research Funding; Astra Zeneca: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Boehringer Ingelheim: Honoraria; Janssen: Research Funding; rgenix: Research Funding; Blueprint Medicines: Research Funding; Genentech: Research Funding; Roche: Research Funding; EMD Serono: Research Funding. Shyr:Roche: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Johnson & Johnson: Consultancy; GlaxoSmithKline: Consultancy; AstraZeneca: Consultancy, Speakers Bureau; Boehringer Ingelheim: Speakers Bureau; Eisai: Speakers Bureau. Pennell:Merck: Consultancy; Cota: Consultancy; Inivata: Consultancy; G1 Therapeutics: Consultancy; Astrazeneca: Consultancy; BMS: Consultancy; Eli Lilly: Consultancy; Amgen: Consultancy; Genentech: Consultancy. Friese:Eli Lilly: Consultancy; Patient-Centered Outcomes Research Institute: Membership on an entity's Board of Directors or advisory committees; Agency for Healthcare Research and Quality: Research Funding; National Cancer Institute: Research Funding; Merck Foundation: Research Funding; National Comprehensive Cancer Network: Research Funding; Pfizer: Research Funding; Eli Lilly: Consultancy. Patel:reast Cancer Research Foundation: Research Funding; Sanofi: Research Funding; Odonate Therapeutics: Research Funding; Radius: Honoraria; Genentech: Research Funding. Halmos:Foundation Medicine: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Guardant Health: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Boehringer-Ingelheim: Consultancy, Research Funding; Merck: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; AstraZeneca: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Eli-Lilly: Research Funding; Advaxis: Research Funding; Mirati: Research Funding; Takeda: Research Funding; GSK: Research Funding; AbbVie: Research Funding; Genentech: Consultancy; TPT: Consultancy. Choueiri:Pfizer: Consultancy, Honoraria, Research Funding; Pionyr: Consultancy, Other; Merck: Consultancy, Honoraria, Research Funding; Roche Products Limited: Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding; F. Hoffmann-La Roche: Honoraria, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Research Funding; Lilly: Consultancy, Research Funding; Peloton: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Tempest: Consultancy, Other; Lilly Ventures: Consultancy; International Patent Application No. PCT/US2018/12209, entitled "PBRM1 Biomarkers Predictive of Anti-Immune Checkpoint Response," filed January 3, 2018, claiming priority to U.S. Provisional Patent Application No. 62/445,094, filed January 11, 2017: Patents & Royalties; Prometheus Labs: Consultancy, Honoraria, Research Funding; Corvus: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding; Alexion: Consultancy, Honoraria, Research Funding; Bayer: Consultancy, Honoraria, Research Funding; Bristol Myers-Squibb/ER Squibb and sons LLC: Consultancy, Honoraria, Research Funding; Cerulean: Consultancy, Honoraria, Research Funding; Eisai: Consultancy, Honoraria, Research Funding; oundation Medicine Inc.: Consultancy, Honoraria, Research Funding; International Patent Application No. PCT/US2018/058430, entitled "Biomarkers of Clinical Response and Benefit to Immune Checkpoint Inhibitor Therapy," filed October 31, 2018, claiming priority to U.S. Provisional Patent Application No. 62/581,175, filed N: Patents & Royalties; Calithera: Research Funding; Analysis Group: Research Funding; Sanofi/Aventis: Consultancy, Honoraria, Research Funding; Takeda: Research Funding; EMD Serono: Consultancy, Honoraria; Up-to-Date: Consultancy, Honoraria; NCCN: Consultancy, Honoraria; Lilly Oncology: Consultancy, Honoraria; Heron Therapeutics: Consultancy, Honoraria; Lancet Oncology: Honoraria; NEJM: Honoraria; American Society of Medical Oncology: Honoraria; Harborside Press: Honoraria; Navinata Healthcare: Honoraria; Platform Q: Honoraria; L-path, Kidney Cancer Journal, Clinical Care Options: Honoraria; Research to Practice: Honoraria; PeerView and PER: Honoraria; OnClive: Honoraria; Genentech: Consultancy, Honoraria, Research Funding; Ipsen: Consultancy, Honoraria, Research Funding; Tracon: Research Funding; Exelixis: Consultancy, Honoraria, Research Funding; Analysis Group: Consultancy, Honoraria; Michael J. Hennessy (MJH) Associates, Inc: Honoraria. Peters:Debiopharm: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Boehringer-Ingelheim: Consultancy, Honoraria; Blueprint Medicines: Consultancy, Honoraria; Bioinvent: Consultancy, Honoraria; Biocartis: Consultancy, Honoraria; Eli Lilly: Consultancy, Honoraria; F. Hoffmann-La Roche: Consultancy, Honoraria, Research Funding; Foundation Medicine: Consultancy, Honoraria; Illumina: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria; Merck Sharp and Dohme: Consultancy, Honoraria, Research Funding; Merck Serono: Consultancy, Honoraria, Research Funding; Merrimack: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Pharma Mar: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; Regeneron: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Vaccibody: Consultancy, Honoraria; Biodesix: Research Funding; Daiichi Sankyo: Consultancy, Honoraria; Clovis: Consultancy, Honoraria, Research Funding; Bayer: Consultancy, Honoraria; AstraZeneca: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding. Painter:Roche: Other: stock or other ownership; OPKO Health Inc: Other: stock or other ownership; Inovio: Other: stock or other ownership; Epizyme: Other: stock or other ownership; Pfizer: Other: stock or other ownership. Rini:Astra-Zeneca: Research Funding; PTC Therapeutics: Other: Sotckholder/stock options; Surface Oncology: Consultancy; Synthorx: Consultancy; 3D Medicine: Consultancy; Arravive: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; AVEO: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Roche: Consultancy, Research Funding; Merck: Consultancy, Research Funding. Lyman:Amgen: Research Funding; Mylan: Consultancy; Beyond Spring: Consultancy; Samsung: Consultancy; Sandoz: Consultancy; Invitae: Consultancy; Spectrum: Consultancy; G1 Therapeutics: Consultancy. Connors:Bristol-Myers Squibb: Consultancy, Honoraria; Portola: Honoraria; CSL Behring: Research Funding; Takeda: Honoraria; Abbott: Consultancy, Honoraria. Rosovsky:Bristol-Myers Squibb: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Dova: Consultancy; Portola: Consultancy.

Type of Medium: Online Resource

ISSN: 0006-4971 , 1528-0020

URL: Article

DOI: 10.1182/blood-2020-138834

Language: English

Publisher: American Society of Hematology

Publication Date: 2020

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detail.hit.zdb_id: 80069-7