Primary tumor and patient characteristics in breast cancer as predictors of adjuvant therapy regimen: a regression model View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-09

AUTHORS

Valerie Francescutti, Forough Farrokhyar, Richard Tozer, Barbara Heller, Peter Lovrics, Graham Jansz, Kamyar Kahnamoui

ABSTRACT

PURPOSE: Adjuvant therapy reduces the risk of recurrence of breast cancer. This study was undertaken to determine characteristics guiding choice of adjuvant therapy. METHODS: A retrospective review was completed of characteristics of patients with breast cancer (stages I-III) at a regional center from 2004 to 2007. Univariate analysis was used to select factors (P < 0.1) for entry into multivariate stepwise logistic regressions. Odds ratios with 95% confidence intervals were calculated. A P value of <0.05 was significant, and comparisons were two-tailed. RESULTS: Model 1 (n = 744) assessed the prescription of any adjuvant regimen (hormonal or chemotherapy). Indicators of choice of any regimen were positive lymph nodes [OR 16.5, CI (6.2, 44.0)], grade [4.0, (2.5, 6.0)], size [3.2, (2.1, 4.6)], PR [0.3, (0.1, 0.6)], and multicentricity [0.2 (0.04, 0.66)]. Model 2 (n = 663) assessed chemotherapy in ER+ patients. Indicators of addition of chemotherapy were stage [8.9 (4.3, 18.6), grade [5.5 (3.1, 9.6)], positive nodes [2.7 (1.1, 6.4)], physician experience [1.1 (1.0, 1.2)], age [0.8 (0.79, 0.86)], and year of treatment [0.8, (0.4, 0.9)]. Model 3 (n = 867) assessed prescription of a more aggressive chemotherapy regimen and indicators were treatment by a breast specialist oncologist [8.6 (1.7, 43.1)], stage [3.6 (2.4, 5.4)], positive nodes [2.6 (1.7, 4.1)], year of treatment [1.5 (1.3, 1.8)], size [1.2 (1.1, 1.4)], age [0.91 (0.89, 0.93)], and PR [0.4 (0.3, 0.6)]. CONCLUSIONS: This study verifies known factors for choice of adjuvant therapy, excludes others thought to be important, and quantifies effects at our center. Further studies are required to compare these models where risk stratification is different. More... »

PAGES

661-668

References to SciGraph publications

  • 2005-01. Axillary Recurrence After Sentinel Node Biopsy in ANNALS OF SURGICAL ONCOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00280-010-1532-5

    DOI

    http://dx.doi.org/10.1007/s00280-010-1532-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045052901

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21125276


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    46 schema:description PURPOSE: Adjuvant therapy reduces the risk of recurrence of breast cancer. This study was undertaken to determine characteristics guiding choice of adjuvant therapy. METHODS: A retrospective review was completed of characteristics of patients with breast cancer (stages I-III) at a regional center from 2004 to 2007. Univariate analysis was used to select factors (P < 0.1) for entry into multivariate stepwise logistic regressions. Odds ratios with 95% confidence intervals were calculated. A P value of <0.05 was significant, and comparisons were two-tailed. RESULTS: Model 1 (n = 744) assessed the prescription of any adjuvant regimen (hormonal or chemotherapy). Indicators of choice of any regimen were positive lymph nodes [OR 16.5, CI (6.2, 44.0)], grade [4.0, (2.5, 6.0)], size [3.2, (2.1, 4.6)], PR [0.3, (0.1, 0.6)], and multicentricity [0.2 (0.04, 0.66)]. Model 2 (n = 663) assessed chemotherapy in ER+ patients. Indicators of addition of chemotherapy were stage [8.9 (4.3, 18.6), grade [5.5 (3.1, 9.6)], positive nodes [2.7 (1.1, 6.4)], physician experience [1.1 (1.0, 1.2)], age [0.8 (0.79, 0.86)], and year of treatment [0.8, (0.4, 0.9)]. Model 3 (n = 867) assessed prescription of a more aggressive chemotherapy regimen and indicators were treatment by a breast specialist oncologist [8.6 (1.7, 43.1)], stage [3.6 (2.4, 5.4)], positive nodes [2.6 (1.7, 4.1)], year of treatment [1.5 (1.3, 1.8)], size [1.2 (1.1, 1.4)], age [0.91 (0.89, 0.93)], and PR [0.4 (0.3, 0.6)]. CONCLUSIONS: This study verifies known factors for choice of adjuvant therapy, excludes others thought to be important, and quantifies effects at our center. Further studies are required to compare these models where risk stratification is different.
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