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  1. Article ; Online: Myelodysplastic Syndromes/Neoplasms-Insights Into Pathogenesis Leading to Improved Classification, Risk Stratification, and Treatments.

    Rose, Michal G / Zeidan, Amer M

    Cancer journal (Sudbury, Mass.)

    2023  Volume 29, Issue 3, Page(s) 109–110

    MeSH term(s) Humans ; Myelodysplastic Syndromes/diagnosis ; Myelodysplastic Syndromes/etiology ; Myelodysplastic Syndromes/therapy ; Prognosis ; Neoplasms ; Risk Assessment
    Language English
    Publishing date 2023-05-17
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2018400-1
    ISSN 1540-336X ; 1528-9117 ; 1081-4442
    ISSN (online) 1540-336X
    ISSN 1528-9117 ; 1081-4442
    DOI 10.1097/PPO.0000000000000663
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Systemic Therapy for Advanced Hepatocellular Carcinoma: ASCO Guideline Update Clinical Insights.

    Rose, Michal G / Kennedy, Erin B / Abou-Alfa, Ghassan K / Finn, Richard S / Gade, Terence / Kelley, R Kate / Taddei, Tamar / Gordan, John D

    JCO oncology practice

    2024  , Page(s) OP2400189

    Language English
    Publishing date 2024-04-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 3028198-2
    ISSN 2688-1535 ; 2688-1527
    ISSN (online) 2688-1535
    ISSN 2688-1527
    DOI 10.1200/OP.24.00189
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Barriers and facilitators to lung cancer screening and follow-up.

    Bernstein, Ethan / Bade, Brett C / Akgün, Kathleen M / Rose, Michal G / Cain, Hilary C

    Seminars in oncology

    2022  

    Abstract: Two randomized trials have shown that lung cancer screening (LCS) with low dose computed tomography (LDCT) reduces lung cancer mortality in patients at high-risk for lung malignancy by identifying early-stage cancers, when local cure and control is ... ...

    Abstract Two randomized trials have shown that lung cancer screening (LCS) with low dose computed tomography (LDCT) reduces lung cancer mortality in patients at high-risk for lung malignancy by identifying early-stage cancers, when local cure and control is achievable. The implementation of LCS in the United States has revealed multiple barriers to preventive cancer care. Rates of LCS are disappointingly low with estimates between 5%-18% of eligible patients screened. Equally concerning, follow-up after baseline screening is far lower than that of clinical trials (44-66% v >90%). To optimize the benefits of LCS, programs must identify and address factors related to LCS participation and follow-up while concurrently recognizing and mitigating barriers. As a relatively new screening test, the most effective processes for LCS are uncertain. Therefore, LCS programs have adopted a wide range of approaches without clearly established best practices to guide them, particularly in rural and resource-limited settings. In this narrative review, we identify barriers and facilitators to LCS, focusing on those studies in non-clinical trial settings - reflecting "real world" challenges. Our goal is to identify effective and scalable LCS practices that will increase LCS participation, improve adherence to follow-up, inform strategies for quality improvement, and support new research approaches.
    Language English
    Publishing date 2022-07-25
    Publishing country United States
    Document type Journal Article
    ZDB-ID 189220-4
    ISSN 1532-8708 ; 0093-7754
    ISSN (online) 1532-8708
    ISSN 0093-7754
    DOI 10.1053/j.seminoncol.2022.07.004
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  4. Article ; Online: Cutaneous marginal zone lymphoma following anthrax vaccination.

    Chandler, Jocelyn B / Waldman, Reid / Sloan, Steven B / Rose, Michal G / Wong, Ellice Y

    Annals of hematology

    2020  Volume 100, Issue 12, Page(s) 3079–3080

    MeSH term(s) Adult ; Anthrax/prevention & control ; Anthrax Vaccines/adverse effects ; Bacillus anthracis/isolation & purification ; Humans ; Lymphoma, B-Cell, Marginal Zone/etiology ; Lymphoma, B-Cell, Marginal Zone/pathology ; Male ; Skin Neoplasms/etiology ; Skin Neoplasms/pathology ; Vaccination/adverse effects
    Chemical Substances Anthrax Vaccines
    Language English
    Publishing date 2020-11-16
    Publishing country Germany
    Document type Case Reports ; Letter
    ZDB-ID 1064950-5
    ISSN 1432-0584 ; 0939-5555 ; 0945-8077
    ISSN (online) 1432-0584
    ISSN 0939-5555 ; 0945-8077
    DOI 10.1007/s00277-020-04336-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Uh III Zs.181: Show issues Location:
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  5. Book: Oncology in primary care

    Rose, Michal G

    (Lippincott's primary care)

    2013  

    Author's details senior editors, Michal G. Rose ... [et al.]
    Series title Lippincott's primary care
    MeSH term(s) Neoplasms/diagnosis ; Neoplasms/therapy ; Risk Assessment ; Primary Health Care/methods
    Language English
    Size xxii, 425 p. :, ill.
    Publisher Wolters Kluwer Health/Lippincott Williams & Wilkins
    Publishing place Philadelphia
    Document type Book
    ISBN 9781451111491 ; 145117599X ; 1451111495 ; 9781451175998
    Database Catalogue of the US National Library of Medicine (NLM)

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  6. Article ; Online: Darier's sign in mastocytosis.

    Galen, Benjamin T / Rose, Michal G

    Blood

    2014  Volume 123, Issue 8, Page(s) 1127

    MeSH term(s) Adult ; Biopsy ; Humans ; Male ; Mastocytosis, Systemic/pathology ; Mastocytosis, Systemic/therapy ; Skin/pathology ; Urticaria Pigmentosa/pathology ; Urticaria Pigmentosa/therapy
    Language English
    Publishing date 2014-02-19
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 80069-7
    ISSN 1528-0020 ; 0006-4971
    ISSN (online) 1528-0020
    ISSN 0006-4971
    DOI 10.1182/blood-2013-11-538355
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    Zs.MO 364: Show issues

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  7. Article ; Online: Hematology: Azacitidine improves survival in myelodysplastic syndromes.

    Rose, Michal G

    Nature reviews. Clinical oncology

    2009  Volume 6, Issue 9, Page(s) 502–503

    MeSH term(s) Antimetabolites, Antineoplastic/therapeutic use ; Azacitidine/adverse effects ; Azacitidine/therapeutic use ; Clinical Trials, Phase III as Topic ; Hematology ; Humans ; Multicenter Studies as Topic ; Myelodysplastic Syndromes/drug therapy ; Myelodysplastic Syndromes/mortality ; Practice Guidelines as Topic ; Quality of Life ; Survival Analysis ; Time Factors
    Chemical Substances Antimetabolites, Antineoplastic ; Azacitidine (M801H13NRU)
    Language English
    Publishing date 2009-08-26
    Publishing country England
    Document type Journal Article
    ZDB-ID 2491410-1
    ISSN 1759-4782 ; 1759-4774
    ISSN (online) 1759-4782
    ISSN 1759-4774
    DOI 10.1038/nrclinonc.2009.125
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    Zs.A 6029: Show issues Location:
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  8. Article ; Online: A Machine Learning Model to Successfully Predict Future Diagnosis of Chronic Myelogenous Leukemia With Retrospective Electronic Health Records Data.

    Hauser, Ronald G / Esserman, Denise / Beste, Lauren A / Ong, Shawn Y / Colomb, Denis G / Bhargava, Ankur / Wadia, Roxanne / Rose, Michal G

    American journal of clinical pathology

    2021  Volume 156, Issue 6, Page(s) 1142–1148

    Abstract: Background: Chronic myelogenous leukemia (CML) is a clonal stem cell disorder accounting for 15% of adult leukemias. We aimed to determine if machine learning models could predict CML using blood cell counts prior to diagnosis.: Methods: We ... ...

    Abstract Background: Chronic myelogenous leukemia (CML) is a clonal stem cell disorder accounting for 15% of adult leukemias. We aimed to determine if machine learning models could predict CML using blood cell counts prior to diagnosis.
    Methods: We identified patients with a diagnostic test for CML (BCR-ABL1) and at least 6 consecutive prior years of differential blood cell counts between 1999 and 2020 in the largest integrated health care system in the United States. Blood cell counts from different time periods prior to CML diagnostic testing were used to train, validate, and test machine learning models.
    Results: The sample included 1,623 patients with BCR-ABL1 positivity rate 6.2%. The predictive ability of machine learning models improved when trained with blood cell counts closer to time of diagnosis: 2 to 5 years area under the curve (AUC), 0.59 to 0.67, 0.5 to 1 years AUC, 0.75 to 0.80, at diagnosis AUC, 0.87 to 0.92.
    Conclusions: Blood cell counts collected up to 5 years prior to diagnostic workup of CML successfully predicted the BCR-ABL1 test result. These findings suggest a machine learning model trained with blood cell counts could lead to diagnosis of CML earlier in the disease course compared to usual medical care.
    MeSH term(s) Diagnostic Tests, Routine ; Electronic Health Records ; Fusion Proteins, bcr-abl/genetics ; Humans ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/diagnosis ; Machine Learning ; Retrospective Studies
    Chemical Substances Fusion Proteins, bcr-abl (EC 2.7.10.2)
    Language English
    Publishing date 2021-06-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 2944-0
    ISSN 1943-7722 ; 0002-9173
    ISSN (online) 1943-7722
    ISSN 0002-9173
    DOI 10.1093/ajcp/aqab086
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  9. Article: Observations of supermicron-sized aerosols originating from biomass burning in southern Central Africa.

    Miller, Rose M / McFarquhar, Greg M / Rauber, Robert M / O'Brien, Joseph R / Gupta, Siddhant / Segal-Rozenhaimer, Michal / Dobracki, Amie N / Sedlacek, Arthur J / Burton, Sharon P / Howell, Steven G / Freitag, Steffen / Dang, Caroline

    Atmospheric chemistry and physics

    2021  Volume 21, Issue 19, Page(s) 14815–14831

    Abstract: During the 3 years of the ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) campaign, the NASA Orion P-3 was equipped with a 2D stereo (2D-S) probe that imaged particles with maximum dimension ( ...

    Abstract During the 3 years of the ObseRvations of Aerosols above CLouds and their intEractionS (ORACLES) campaign, the NASA Orion P-3 was equipped with a 2D stereo (2D-S) probe that imaged particles with maximum dimension (
    Language English
    Publishing date 2021-10-06
    Publishing country Germany
    Document type Journal Article
    ISSN 1680-7316
    ISSN 1680-7316
    DOI 10.5194/acp-21-14815-2021
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  10. Article ; Online: Systemic Therapy for Advanced Hepatocellular Carcinoma: ASCO Guideline Update.

    Gordan, John D / Kennedy, Erin B / Abou-Alfa, Ghassan K / Beal, Eliza / Finn, Richard S / Gade, Terence P / Goff, Laura / Gupta, Shilpi / Guy, Jennifer / Hoang, Hang T / Iyer, Renuka / Jaiyesimi, Ishmael / Jhawer, Minaxi / Karippot, Asha / Kaseb, Ahmed O / Kelley, R Kate / Kortmansky, Jeremy / Leaf, Andrea / Remak, William M /
    Sohal, Davendra P S / Taddei, Tamar H / Wilson Woods, Andrea / Yarchoan, Mark / Rose, Michal G

    Journal of clinical oncology : official journal of the American Society of Clinical Oncology

    2024  , Page(s) JCO2302745

    Abstract: Purpose: To update an evidence-based guideline to assist in clinical decision-making for patients with advanced hepatocellular carcinoma (HCC).: Methods: ASCO convened an Expert Panel to update the 2020 guideline on systemic therapy for HCC. The ... ...

    Abstract Purpose: To update an evidence-based guideline to assist in clinical decision-making for patients with advanced hepatocellular carcinoma (HCC).
    Methods: ASCO convened an Expert Panel to update the 2020 guideline on systemic therapy for HCC. The panel updated the systematic review to include randomized controlled trials (RCTs) published through October 2023 and updated recommendations.
    Results: Ten new RCTs met the inclusion criteria and were added to the evidence base.
    Recommendations: Atezolizumab + bevacizumab (atezo + bev) or durvalumab + tremelimumab (durva + treme) may be offered first-line for patients with advanced HCC, Child-Pugh class A liver disease, and Eastern Cooperative Oncology Group performance status 0-1. Where there are contraindications to these therapies, sorafenib, lenvatinib, or durvalumab may be offered first-line. Following first-line treatment with atezo + bev, second-line therapy with a tyrosine kinase inhibitor (TKI), ramucirumab (for patients with alpha-fetoprotein [AFP] ≥400 ng/mL), durva + treme, or nivolumab + ipilimumab (nivo + ipi) may be recommended for appropriate candidates. Following first-line therapy with durva + treme, second-line therapy with a TKI is recommended. Following first-line treatment with sorafenib or lenvatinib, second-line therapy options include cabozantinib, regorafenib for patients who previously tolerated sorafenib, ramucirumab (AFP ≥400 ng/mL), nivo + ipi, or durvalumab; atezo + bev or durva + treme may be considered for patients who did not have access to these therapies in the first-line setting, and do not have contraindications. Pembrolizumab or nivolumab are also options for appropriate patients following sorafenib or lenvatinib. Third-line therapy may be considered in Child-Pugh class A patients with good PS, using one of the agents listed previously that has a nonidentical mechanism of action with previously received therapy. A cautious approach to systemic therapy is recommended for patients with Child-Pugh class B advanced HCC. Further guidance on choosing between options is included within the guideline.Additional information is available at www.asco.org/gastrointestinal-cancer-guidelines.
    Language English
    Publishing date 2024-03-19
    Publishing country United States
    Document type Journal Article
    ZDB-ID 604914-x
    ISSN 1527-7755 ; 0732-183X
    ISSN (online) 1527-7755
    ISSN 0732-183X
    DOI 10.1200/JCO.23.02745
    Database MEDical Literature Analysis and Retrieval System OnLINE

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