Breast cancer is the most frequent malignancy in women worldwide, and the second leading
cause of cancer mortality.[1] Due to
advances in prevention, early detection and treatment, breast cancer mortality has
decreased by nearly 40% during the last four decades.[1] However, this optimistic scenario has been counterbalanced by an
increasing risk from cardiovascular disease (CVD) in breast cancer survivors. Indeed,
CVD is a leading cause of mortality in breast cancer survivors.[2-5]
The mechanisms by which these patients are at increased cardiovascular risk are multiple
ones, including the effects of cancer itself (inflammation, oxidative stress,
prothrombotic status, autonomic dysfunction, etc.) or due to the side effects related to
chemotherapy and radiotherapy (metabolic dysfunction, cardiotoxicity).[6] Some of these pathways may have
prognostic significance: a previous investigation showed that autonomic modulation in
breast cancerpatients is an independent predictor of cardiovascular risk.[6]In this issue of the Arquivos Brasileiros de Cardiologia, the study
"Changes in Cardiac Autonomic Modulation in Women with Breast Cancer Using Aromatase
Inhibitors and the Relation with Biochemical Variables"[7] was aimed to explore not breast cancer but the
associations of one of its treatments (namely aromatase inhibitors, AI) with markers of
autonomic dysfunction, as well as metabolic and inflammatory parameters in
postmenopausal women. The rationale for exploring this specific therapy was based on a
recent meta-analysis showing that prolonged AI use had a marginally effect of having a
CVD event (odds ratio: 1.18, 95% CI = 1.00-1.40) as compared to placebo.[8]In the current investigation,[7] the
authors performed a cross-sectional analysis comparing two groups of participants: 1)
women with breast cancer, treated with AIs and 2) postmenopausal women without breast
cancer. For the evaluation of the autonomic modulation, heart rate was recorded
beat-to-beat for 30 minutes and the series of RR intervals obtained were used to
calculate rate variability indices (RVI): mean RR ms, SDNN (standard deviation of all
normal RR intervals, expressed in milliseconds) ms, mean Heart Rate (HR), RMSSD (square
root of the mean of the squared differences between adjacent normal RR interval) ms,
NN50 (number of pairs of successive NNs that differ by more than 50 ms) count, p NN 50%
(proportion of NN 50 divided by total number of NNs), RRtri (RR triangular), TINN
(triangular interpolation of NN interval ) ms, SD1ms, SD2 ms, LF (low frequency)
ms2, HF(high frequency) ms2. LF; HF ms2. Despite
some criticism, all these parameters provide an indirect evaluation of autonomic
function. In addition, the following metabolic and inflammatory parameters were
analyzed: fasting glycemia, triglycerides. HDL-cholesterol and C-reactive protein (CRP).
The study showed that lower values of HR variability indices were observed in breast
cancerpatients in relation to the control group. Besides, there was an inverse
correlation between the indices SDNN, SD2 and HFms with triglycerides. No statistically
significant correlations were found between HR variability indices and other biochemical
variables.While this study is timely, addressing the increasing awareness of the cardiovascular
effects attributed to cancer and its treatments, there are significant limitations that
deserve an appropriate discussion. This is a small cross-sectional study addressing
autonomic and cardiovascular parameters in patients already on AI treatment. The lack of
baseline measurements (before starting AI therapy) prevent any conclusion from being
drawn on whether the main results were related to AIs, the breast cancer per se or some
other residual factor. Regarding the latter, the authors did not evaluate the potential
role of important confounding factors (such as hypertension or chronic use of
medications) that could affect autonomic modulation or the cardiovascular
biomarkers.Having said that, this study raised more questions than answers, but certainly stimulates
additional investigations testing the cardiovascular safety of this important
chemotherapy class. In the past decade, AIs have been the recommended first-line
adjuvant endocrine therapy in postmenopausal women with hormone receptor-positive breast
cancer; they are associated with improved disease-free survival and overall
survival.[9] Based on the
increasing prevalence of breast cancer worldwide and the related burden of survivors, it
is crucial to clarify the cardiovascular safety of the related drugs. The benefits of
cancer treatment should be balanced with the presence and magnitude of severe side
effects - including cardiovascular events - in the long-term follow-up.
Authors: Hadar Goldvaser; Tristan A Barnes; Boštjan Šeruga; David W Cescon; Alberto Ocaña; Domen Ribnikar; Eitan Amir Journal: J Natl Cancer Inst Date: 2018-01-01 Impact factor: 13.506
Authors: Amy A Kirkham; Rhys I Beaudry; D Ian Paterson; John R Mackey; Mark J Haykowsky Journal: Prog Cardiovasc Dis Date: 2019-02-22 Impact factor: 8.194
Authors: Mary C Pinder; Zhigang Duan; James S Goodwin; Gabriel N Hortobagyi; Sharon H Giordano Journal: J Clin Oncol Date: 2007-07-30 Impact factor: 44.544
Authors: Jennifer L Patnaik; Tim Byers; Carolyn DiGuiseppi; Dana Dabelea; Thomas D Denberg Journal: Breast Cancer Res Date: 2011-06-20 Impact factor: 6.466