Grant Details
Grant Number: |
5R37CA222793-07 Interpret this number |
Primary Investigator: |
Kantor, Elizabeth |
Organization: |
Sloan-Kettering Inst Can Research |
Project Title: |
Obesity, Chemotherapy Dosing, and Breast Cancer Outcomes |
Fiscal Year: |
2024 |
Abstract
ABSTRACT
Epidemiologic studies have linked obesity to poor breast cancer outcomes, and it has been suggested that
obese women may experience poorer outcomes, in part, due to inadequate dosing of cytotoxic agents among
obese women. Specifically, most cytotoxic agents are dosed according to body surface area, and therefore, the
larger the woman, the higher the absolute dose. However, evidence shows that clinicians are more likely to
depart from recommended dosing among heavier women for fear of inducing chemotherapy-associated toxicity.
In 2012, the American Society of Clinical Oncology (ASCO) released guidelines stating that obese women
should be dosed according to their full body surface area, largely based on evidence that suggested that fully-
dosed obese women do not appear to experience more toxicity than fully-dosed normal-weight women.
However, the guidelines acknowledge that data are extremely limited with regard to more severe obesity and in
the real-world context of comorbidities. Furthermore, these guidelines cite that this practice of `dose reducing'
obese women may be one reason contributing to the poorer outcomes observed in this group. However, to
date, no empirical investigations have sought to determine if, and to what extent, dose-reduced chemotherapy
may explain differences in breast cancer survival. These guidelines were met with some criticism, citing the
need for further evidence, and data suggest continuing uncertainty about proper dosing of obese cancer
patients. Understanding the drivers of dose reductions may help better inform our understanding of this
practice and efforts to disseminate guidelines; however, we know little about factors driving dose intensity, and
how these factors may vary by body size.
We therefore propose to address these gaps using data on nearly 34,000 Stage I-IIIA breast cancer
patients diagnosed and treated at Kaiser Permanente Northern California and at Group Health. Specifically, we
will use the rich data from these integrated healthcare delivery systems to examine the relationship between
body size and dose intensity, and will further examine how the factors contributing to dose reductions vary by
body size (Aim 1). We will also evaluate if, and to what extent, dose reductions mediate the association
between obesity and breast cancer recurrence and survival (Aim 2). Lastly, we will evaluate the association
between body size and toxicity among women identified as receiving the full BSA-determined dose of
chemotherapy (Aim 3). Our findings will provide critical and timely information to support or to warrant
modification of current recommendations for chemotherapy dosing for obese breast cancer patients. Given the
high and increasing prevalence of obesity in the United States, it is critical that we improve our understanding of
chemotherapy dosing. The knowledge gained from this study can be used to better inform optimal treatment for
the estimated 102,000 obese women diagnosed with breast cancer each year in the United States.
Publications
Patient characteristics associated with intended non-guideline chemotherapy in women with stage I-IIIA breast cancer.
Authors: Bhimani J.
, O'Connell K.
, Persaud S.
, Blinder V.
, Burganowski-Doud R.P.
, Ergas I.J.
, Gallagher G.B.
, Griggs J.J.
, Heon N.
, Kolevska T.
, et al.
.
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2024-07-25 00:00:00.0; , .
EPub date: 2024-07-25 00:00:00.0.
PMID: 39051907
Related Citations
Patient characteristics associated with delayed time to adjuvant chemotherapy among women treated for stage I-IIIA breast cancer.
Authors: Bhimani J.
, O'Connell K.
, Persaud S.
, Blinder V.
, Burganowski R.
, Ergas I.J.
, Foley M.J.
, Gallagher G.B.
, Griggs J.J.
, Heon N.
, et al.
.
Source: International Journal Of Cancer, 2024-07-06 00:00:00.0; , .
EPub date: 2024-07-06 00:00:00.0.
PMID: 38970396
Related Citations
Trends in chemotherapy use for early-stage breast cancer from 2006 to 2019.
Authors: Bhimani J.
, O'Connell K.
, Ergas I.J.
, Foley M.
, Gallagher G.B.
, Griggs J.J.
, Heon N.
, Kolevska T.
, Kotsurovskyy Y.
, Kroenke C.H.
, et al.
.
Source: Breast Cancer Research : Bcr, 2024-06-13 00:00:00.0; 26(1), p. 101.
EPub date: 2024-06-13 00:00:00.0.
PMID: 38872192
Related Citations
Evaluation of algorithms using automated health plan data to identify breast cancer recurrences.
Authors: Aiello Bowles E.J.
, Kroenke C.H.
, Chubak J.
, Bhimani J.
, O'Connell K.
, Brandzel S.
, Valice E.
, Doud R.
, Theis M.K.
, Roh J.M.
, et al.
.
Source: Cancer Epidemiology, Biomarkers & Prevention : A Publication Of The American Association For Cancer Research, Cosponsored By The American Society Of Preventive Oncology, 2023-12-13 00:00:00.0; , .
EPub date: 2023-12-13 00:00:00.0.
PMID: 38088912
Related Citations
Assessment of breast cancer chemotherapy dose reduction in an integrated healthcare delivery system.
Authors: Kantor E.D.
, O'Connell K.
, Ergas I.J.
, Valice E.
, Roh J.M.
, Bhimani J.
, Heon N.
, Griggs J.J.
, Lee J.
, Bowles E.J.
, et al.
.
Source: Breast Cancer Research And Treatment, 2023-11-04 00:00:00.0; , .
EPub date: 2023-11-04 00:00:00.0.
PMID: 37923962
Related Citations