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  1. AU="Ivory, Joannie M"
  2. AU="Sooltangos, Aisha"
  3. AU="Marcia Adriana Poll"
  4. AU="Wenzel, Ross"
  5. AU="Wang, Ruihan"
  6. AU=Qing Enya AU=Qing Enya
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  1. Artikel ; Online: Envisioning trans-inclusive and trans-specific cancer care.

    Lett, Elle / Ivory, Joannie M / Roberson, Mya L

    Nature reviews. Clinical oncology

    2023  Band 20, Heft 6, Seite(n) 351–352

    Mesh-Begriff(e) Humans ; Neoplasms ; Transsexualism
    Sprache Englisch
    Erscheinungsdatum 2023-03-16
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2491410-1
    ISSN 1759-4782 ; 1759-4774
    ISSN (online) 1759-4782
    ISSN 1759-4774
    DOI 10.1038/s41571-023-00764-z
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Disparities in OncotypeDx Testing and Subsequent Chemotherapy Receipt by Geography and Socioeconomic Status.

    Van Alsten, Sarah C / Dunn, Matthew R / Hamilton, Alina M / Ivory, Joannie M / Gao, Xiaohua / Kirk, Erin L / Nsonwu-Farley, Joseph S / Carey, Lisa A / Abdou, Yara / Reeder-Hayes, Katherine E / Roberson, Mya L / Wheeler, Stephanie B / Emerson, Marc A / Hyslop, Terry / Troester, Melissa A

    Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

    2024  Band 33, Heft 5, Seite(n) 654–661

    Abstract: Background: OncotypeDx is a prognostic and predictive genomic assay used in early-stage hormone receptor-positive, HER2- (HR+/HER2-) breast cancer. It is used to inform adjuvant chemotherapy decisions, but not all eligible women receive testing. We ... ...

    Abstract Background: OncotypeDx is a prognostic and predictive genomic assay used in early-stage hormone receptor-positive, HER2- (HR+/HER2-) breast cancer. It is used to inform adjuvant chemotherapy decisions, but not all eligible women receive testing. We aimed to assess variation in testing by demographics and geography, and to determine whether testing was associated with chemotherapy.
    Methods: For 1,615 women in the Carolina Breast Cancer Study with HR+/HER2-, Stage I-II tumors, we estimated prevalence differences (PD) and 95% confidence intervals (CI) for receipt of OncotypeDx genomic testing in association with and sociodemographic characteristics. We assessed associations between testing and chemotherapy receipt overall and by race. Finally, we calculated the proportion of eligible women receiving OncotypeDx by county-level rurality, census tract-level socioeconomic status, and Area Health Education Center regions.
    Results: 38% (N = 609) of potentially eligible women were tested, with lower testing prevalences in Black (31%; PD, -11%; 95% CI, -16%-6%) and low-income women (24%; PD, -20%; 95% CI, -29% to -11%) relative to non-Black and higher income women. Urban participants were less likely to be tested than rural participants, though this association varied by region. Among women with low genomic risk tumors, tested participants were 29% less likely to receive chemotherapy than untested participants (95% CI, -40% to -17%). Racial differences in chemotherapy were restricted to untested women.
    Conclusions: Both individual and area-level socioeconomics predict likelihood of OncotypeDx testing.
    Impact: Variable adoption of OncotypeDx by socioeconomics and across geographic settings may contribute to excess chemotherapy among patients with HR+/HER2- cancers. See related In the Spotlight, p. 635.
    Mesh-Begriff(e) Humans ; Female ; Breast Neoplasms/drug therapy ; Breast Neoplasms/genetics ; Middle Aged ; Adult ; Aged ; Social Class ; Healthcare Disparities/statistics & numerical data ; Genetic Testing/statistics & numerical data ; Genetic Testing/methods ; Receptor, ErbB-2/metabolism ; Receptor, ErbB-2/genetics
    Chemische Substanzen Receptor, ErbB-2 (EC 2.7.10.1)
    Sprache Englisch
    Erscheinungsdatum 2024-01-25
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1153420-5
    ISSN 1538-7755 ; 1055-9965
    ISSN (online) 1538-7755
    ISSN 1055-9965
    DOI 10.1158/1055-9965.EPI-23-1201
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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